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06 - Cote Gold Mine Site (06 - Cote Gold Mine Site)
IAMGOLD Corp, Côté Gold Division
3 Mesomikenda Lake RdPO Box 100
Gogama, P0M 1W0

" ], "timestamp" : "2026-06-15T07:49:22.001", "fingerprint" : "32b23742ae3b2dba6dae50e661a56b3fbb0b0d82fcd02201504443c75ac79af3", "source" : "taleo", "language" : "en", "applyUrl" : "https://iamgold.taleo.net/careersection/ex/jobdetail.ftl?job=57405", "externalId" : "57405", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Gogama", "state" : "Ontario", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6736705,-81.7250895" } ], "locationText" : "Gogama, Ontario, Canada", "employmentType" : "FULL_TIME", "technicalSkills" : "VHF/UHF, WIFI mesh, Microwave systems, Ethernet, Fiber-optic, Radio, Microwave, Wireless, Cisco Wi-Fi, LTE Radio", "professionalSkills" : [ "Problem-solving", "Prioritization", "Technical learning" ], "hardSkillsList" : [ "Radio communications", "Fleet Management Systems", "Electronic schematics", "Technical specifications" ], "hardSkills" : [ { "name" : "Radio communications", "level" : "intermediate" }, { "name" : "Fleet Management Systems", "level" : "intermediate" }, { "name" : "Electronic schematics", "level" : "intermediate" }, { "name" : "Technical specifications", "level" : "intermediate" } ], "majorSkills" : "Autonomous hardware, Radio systems, Mining technology, Wireless communication", "majorSkillsList" : [ "Autonomous hardware", "Radio systems", "Mining technology", "Wireless communication" ], "coreResponsibilities" : "Install wired/wireless communications, Repair wired/wireless communications, Maintain wired/wireless communications, Deploy VHF/UHF systems, Deploy WIFI mesh systems, Deploy microwave systems, Execute preventative maintenance, Inspect hardware, Identify field inefficiencies, Apply Command for Haulage expertise, Improve fleet throughput, Improve fleet quality, Troubleshoot technical issues, Manage mining databases, Manage fleet management software, Manage equipment logs, Ensure reporting accuracy, Partner with Mine Operators, Partner with Control teams, Coordinate shift deliverables, Resolve fleet problems, Train new team members, Manage FMS inventory, Prevent downtime", "teamCollaboration" : "Mine Operators; Control teams", "domainKnowledge" : "Autonomous haulage; Drill fleet; High Precision Machine Guidance; Mining databases; Fleet Management Systems; Autonomous Mining Systems; Microwave PTP; Microwave PTMP", "domainList" : [ "autonomous-haulage", "drill-fleet", "high-precision-machine-guidance", "mining-databases", "fleet-management-systems", "autonomous-mining-systems", "microwave-ptp", "microwave-ptmp" ], "domainSpecificKnowledge" : [ "Autonomous haulage", "Drill fleet", "High Precision Machine Guidance", "Mining databases", "Fleet Management Systems", "Autonomous Mining Systems", "Microwave PTP", "Microwave PTMP" ], "toolProficiency" : [ "Command for Haulage", "Fleet Management Systems", "Cisco Wi-Fi" ], "problemSolvingSkills" : "Analytical skills; Problem-solving skills", "specialRequirements" : "Rotational schedule", "qualificationsBasic" : "Grade 12 or equivalent, 5+ years electrician experience, 5+ years communications infrastructure experience", "qualificationsPreferred" : "College diploma related field, University degree related field, Fleet Management Systems experience, Autonomous Mining Systems experience, High Precision Machine Guidance experience, Cisco Wi-Fi experience, LTE Radio Systems experience, Mining experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "We are IAMGOLD. Innovative, Accountable Mining. IAMGOLD is a Canadian-based gold mining company with operations and development projects across North America and West Africa. With flagship operations such as the Côté Gold Mine in Ontario—one of Canada’s largest and most technologically advanced gold mines—we’re not just mining gold; we’re shaping the future of mining. We believe mining can be different. By combining innovation with a strong commitment to sustainability and accountability, we create lasting value for our people and the communities where we operate. At IAMGOLD, when we engage, empower, and support each other, we create extraordinary outcomes—delivering value for our people, partners, and stakeholders while building stronger, more resilient communities. At Côté Gold, we’re leading the way in modern mining. With an 18+ year mine life, Côté Gold will inject C$5 billion in wages into the economy and create lasting benefits for the region. Over 600 full-time jobs and strong partnerships with Mattagami and Flying Post First Nations mean you’ll be part of something bigger—building prosperity and progress for generations. Industry leaders call us “a model for modern mining and sustainability”, and you can help write the next chapter. Want to Learn More About IAMGOLD? Check out the IAMGOLD Blog Read about our Côté Gold About the role: We are actively seeking an Autonomous Hardware and Radio Technician to join the Côté Gold Mine Site. This role is responsible for the reliable operation of the hardware and radio systems that support the autonomous haulage and drill fleet. The Autonomous Hardware/Radio Technician ensures safe, effective and timely implementation, configuration and maintenance of the operational mining technology network and wireless communication systems. This role will be based on our Cote Gold Mine Site (Gogama, ON), on a rotational schedule. Responsibilities: Install, repair, and maintain wired/wireless communications for autonomous haulage and drill equipment Deploy VHF/UHF, WIFI mesh, and microwave systems to support High Precision Machine Guidance Execute preventative maintenance and inspections to ensure all hardware meets safety and performance standards Identify field inefficiencies and apply Command for Haulage expertise to improve fleet throughput and quality Troubleshoot technical issues while weighing impacts on time, cost, sustainability, and safety Manage mining databases, fleet management software, and equipment logs to ensure reporting accuracy Partner with Mine Operators and Control teams to coordinate shift deliverables and resolve fleet problems Train new team members and manage Fleet Management System (FMS) inventory to prevent downtime Key Skills & Knowledge: Grade 12 or equivalent. College diplomas or university degrees in a related field such electrical, OT, autonomous systems technology is considered an asset Relevant Experience: 5 or more years of experience as an electrician or 5 or more years of experience supporting communications infrastructure (Ethernet, fiber-optic, radio, microwave, wireless). Experience with Fleet Management Systems, Autonomous Mining Systems, High Precision Machine Guidance, Cisco Wi-Fi and LTE Radio Systems is considered an asset. Experience installing, maintaining and fault-finding radio communications equipment and Fleet Management Systems is considered an asset; Mining experience may be considered an asset but is not required. Skills & Strengths, We Value: Highly organized and possess excellent analytical and problem-solving skills with the ability to prioritize effectively in a high-pressure environment. An aptitude for learning technical material and are detail orientated. Understanding of Microwave PTP, PTMP based radio and antennae systems; and Ability to read and interpret electronic schematics and Technical Specifications.    What we Offer: At IAMGOLD, we don’t just reward performance we invest in your potential. Our total rewards package is designed to support your well-being today and encourage your growth for tomorrow. Because the future of mining, and your career, starts here. •    Comprehensive Health Coverage – Extended health, dental, and insurance benefits for peace of mind. •    Flexible Spending Power – Health & Personal Spending Accounts to fit your evolving needs. •    Support When It Matters – Employee & Family Assistance Program for life’s challenges. •    Future-Ready Savings – Registered Pension Plan with company match, plus TFSA & RRSP options. •    Shared Success – Employee Share Purchase Plan with company match—because we grow together. Salary Range: $89,000-122,400 The final offer is determined based on your individual skills, qualifications, and competencies and aligned with our commitment to internal equity. We recognize that not everyone will meet every requirement listed, and that’s okay. If this role excites you and you believe you have relevant experience or transferable skills, we encourage you to apply. We value potential and are committed to supporting growth and development. We’re an equal opportunity employer, committed to building a workplace where every perspective sparks progress. We welcome applications from women, Indigenous Peoples, visible minorities, persons with disabilities, and members of the 2SLGBTQIA+ community. Need accommodation during the recruitment process? Just let us know, we’ll make it happen. Mining. Redefined. We’re building a modern mining company driven by innovation, accountability, and a deep commitment to sustainability. Please note that IAMGOLD does not use AI tools within our applicant tracking system to support the screening of applications Canada", "summaryDescription" : "Autonomous Hardware and Radio Technician at IAMGOLD. Skills: Autonomous hardware, Radio systems, Mining technology, Wireless communication. Install wired/wireless communications. 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06 - Cote Gold Mine Site (06 - Cote Gold Mine Site)
IAMGOLD Corp, Côté Gold Division
3 Mesomikenda Lake RdPO Box 100
Gogama, P0M 1W0

" ], "timestamp" : "2026-06-16T04:43:12.618", "fingerprint" : "0109450bc980de878db97fd1f44440b395d2a1cbcb7fa7e0ffac857923df22b7", "source" : "taleo", "language" : "en", "applyUrl" : "https://iamgold.taleo.net/careersection/ex/jobdetail.ftl?job=57001", "externalId" : "57001", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Gogama", "state" : "Ontario", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6736705,-81.7250895" } ], "locationText" : "Gogama, Ontario, Canada", "technicalSkills" : "Mine model, MineStar Command", "professionalSkills" : [ "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Resource planning", "Continuous improvement" ], "hardSkillsList" : [ "Mine model validation", "Mine model accuracy", "Road network design", "Dump area design", "Ramp design", "Road design" ], "hardSkills" : [ { "name" : "Mine model validation", "level" : "intermediate" }, { "name" : "Mine model accuracy", "level" : "intermediate" }, { "name" : "Road network design", "level" : "intermediate" }, { "name" : "Dump area design", "level" : "intermediate" }, { "name" : "Ramp design", "level" : "intermediate" }, { "name" : "Road design", "level" : "intermediate" } ], "majorSkills" : "Mine model implementation, Autonomous haulage operations, Operational metrics, Continuous learning", "majorSkillsList" : [ "Mine model implementation", "Autonomous haulage operations", "Operational metrics", "Continuous learning" ], "coreResponsibilities" : "Ensure integrity of mine model, Accurately reflect mine operations reality, Plan physical changes within AOZ, Validate physical changes within AOZ, Update physical changes within AOZ, Interpret designs to adjust model, Follow key productivity metrics, Trend key productivity metrics, Report in-cycle interruptions, Action in-cycle interruptions, Ensure dynamic areas are ready, Ensure dynamic areas are available, Complete documentation accurately, Complete data entry accurately, Monitor operations performance, Monitor system performance, Seek opportunities to improve operations, Investigate causes of cycle issues, Share problems and inefficiencies, Troubleshoot problems, Resolve problems, Consider risk dimensions, Deliver operational reliability, Form working relationships with Mine Operators, Form working relationships with Supervisors, Form working relationships with Control teams, Coordinate with team members on site, Meet shift deliverables, Mentor new team members, Train new team members, Lend expertise to team, Communicate clearly, Communicate effectively, Ensure equipment logs are accurate, Ensure equipment logs are complete, Ensure shift logs are accurate, Ensure shift logs are complete, Communicate deficiencies to team members, Participate in multi-disciplinary teams", "teamCollaboration" : "Mine Operators; Supervisors; Control teams; Other team members on site; Multi-disciplinary teams", "domainKnowledge" : "Open pit mining fundamentals; Autonomous mining operations; Autonomous Haulage fleet", "domainList" : [ "open-pit-mining-fundamentals", "autonomous-mining-operations", "autonomous-haulage-fleet" ], "domainSpecificKnowledge" : [ "Open pit mining fundamentals", "Autonomous mining operations", "Autonomous Haulage fleet" ], "toolProficiency" : [ "Minestar Command" ], "communicationSkills" : "Communicate clearly; Communicate effectively", "documentationSkills" : "Documentation completion; Data entry; Equipment logs; Shift logs", "continuousLearning" : "Continuous learning; Continuous improvement", "problemSolvingSkills" : "Troubleshoot problems; Resolve problems; Investigate causes of cycle issues", "outcomesObjectives" : "Ensure key performance indicators are met", "qualificationsBasic" : "Grade 12 or equivalent, 2 or more years of experience in an open pit mining environment, 2 or more years of experience in civil engineering, 2 or more years of experience in survey, 2 or more years of experience in autonomous operations environment", "qualificationsPreferred" : "College diplomas or university degrees in a related field, Previous exposure to Autonomous Builder role", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Improve today. Define tomorrow. At Côté Gold, we focus on what we contribute, not just what we extract. We believe that in order for prosperity to be sustained, it must be shared, it must support the well-being of our employees and our communities, and it must be achieved with minimal impact to the environment. Côté Gold is being developed in partnership with the Mattagami First Nation, Flying Post First Nation and Métis Nation of Ontario, Region 3. The open-pit gold mine is a joint venture between IAMGOLD and Sumitomo Metal Mining Co. Ltd. and is operated by IAMGOLD. We are located near Gogama, Ontario, with access to stable infrastructure and strong connections with our local communities. Accessing Opportunities at Côté Gold IAMGOLD is committed to treating all people in a way that respects their dignity and independence. Should you require any support or accommodation during the recruitment process or otherwise, please notify us when you apply and we will work to meet your accessibility needs. Autonomous System Command Builder The Autonomous System Command Builder is responsible for the effective utilization of the Autonomous Haulage fleet using Minestar Command. The Builder is the “hands on” implementer of the mine model within MineStar Command for hauling. Key Responsibilities Area 1: Mine model validation and accuracy. Ensure the integrity of the mine model (road network, locations, equipment etc.) and that it accurately reflects mine operations reality. Plan, validate and update any physical changes within the Autonomous Operating Zone (AOZ) to the Mine Model either in the field or control center. Interpret designs (Shift plans, dump development, ramps, roads etc.) to adjust model accordingly. Follow and trend key productivity metrics. Report and action any in-cycle interruptions caused by field/operational conditions such as road quality, road design, setup of load and dump areas. Ensure all dynamic areas are ready and available for use. Accurate completion of documentation and data entry where necessary. Monitor operations/processes and system performance to ensure key performance indicators are met. Area 2: Operational excellence. Seek opportunities to improve field haul fleet operations. Commit to continuous learning and improvement. Continually seek to improve your skills as an Autonomous System Command Builder. Watch for inefficiencies or problems. Investigate causes of cycle issues Ensure problems and inefficiencies are shared with others. Work collaboratively to troubleshoot and resolve problems. Consider risk along the five dimensions (throughput, time, quality, sustainability and cost). Area 3: Work collaboratively with others to deliver operational reliability. Form close working relationships with Mine Operators, Supervisor and Control teams to drive efficiency of the Autonomous Haulage fleet. Coordinate with other team members on site to meet shift deliverables. Mentor and train new team members. Participate in and lend your expertise to the team. Communicate clearly and effectively using the tools provided. Ensure equipment logs and shift logs are accurate and complete. Ensure any deficiencies are communicated to the appropriate team members for follow up. Participate in multi-disciplinary teams to deliver on our commitment to our team, our communities, the environment, and our shareholders. Minimum Requirements and Nice To Haves Minimum Qualifications, Formal Education, Certifications or Equivalents Grade 12 or equivalent. College diplomas or university degrees in a related field such as civil engineering, surveying, robotics, or autonomous systems is considered an asset. Work Experience – Nature & Length 2 or more years of experience in an open pit mining environment, civil engineering, survey or autonomous operations environment. Previous exposure to Autonomous Builder role will be highly regarded, but not essential. Additional Qualifications – Competency Requirements Advanced computer literacy. Sound knowledge of open pit mining fundamentals and autonomous mining operations. Able to visualize efficient roadways (shortest routes, fewest curves, fewest stop points). What We Offer IAMGOLD believes in rewarding outstanding performance with an equally outstanding total rewards package. Our attractive offerings include: ● Competitive Salary and Bonus ● Extended Health, Dental and Insurance Benefit Coverage ● Health Spending Account ● Fitness & Wellness Subsidy ● Employee & Family Assistance Program ● Registered Pension Plan with Company Match ● Employee Share Purchase Plan with Company Match ● TFSA & RRSP ● Electric Vehicle Subsidy Empowering People – Extraordinary Performance IAMGOLD is a leading mid-tier Canadian gold producer with operating gold mines on three continents. We are in growth-mode, with a robust pipeline of development and exploration projects in Canada, South America and Africa. Throughout our 30 year history, we have demonstrated our commitment to responsible and sustainable mining practices, and our Zero Harm® commitment ensures that we continually strive to reach the highest standards in human health and safety, minimize our impact on the environment and support the development of the local communities in which we proudly operate. IAMGOLD was recently recognized by the Corporate Knights magazine on its Top 50 Corporate Citizens in Canada list. Canada", "summaryDescription" : "Autonomous System Command Builder at Côté Gold. Skills: Mine model implementation, Autonomous haulage operations, Operational metrics, Continuous learning. Ensure integrity of mine model. 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06 - Cote Gold Mine Site (06 - Cote Gold Mine Site)
IAMGOLD Corp, Côté Gold Division
3 Mesomikenda Lake RdPO Box 100
Gogama, P0M 1W0

" ], "timestamp" : "2026-06-16T00:49:03.879", "fingerprint" : "99e0962c331c412f57b6b085e9422b662b849b6da20c3f48f0adbaf1372539cc", "source" : "taleo", "language" : "en", "applyUrl" : "https://iamgold.taleo.net/careersection/ex/jobdetail.ftl?job=55661", "externalId" : "55661", "industryFunction" : { }, "structuredLocations" : [ { "state" : "Ontario", "country" : "Canada", "continent" : "na", "workMode" : "onsite" } ], "locationText" : "Ontario, Canada", "technicalSkills" : "Robotics, Autonomous systems", "professionalSkills" : [ "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Operational metrics", "Resource planning", "Continuous improvement" ], "hardSkillsList" : [ "Autonomous mining operations" ], "hardSkills" : [ { "name" : "Autonomous mining operations", "level" : "intermediate" } ], "majorSkills" : "Autonomous operations reliability, Pit operations efficiency, Equipment operation, Troubleshooting", "majorSkillsList" : [ "Autonomous operations reliability", "Pit operations efficiency", "Equipment operation", "Troubleshooting" ], "coreResponsibilities" : "Coordinate all field aspects of Autonomous Operations Reliability, Advise control centre on operational changes, Optimize autonomous operations, Optimize individual truck operations, Coordinate and direct operations team members, Ensure safe operations, Ensure production operations, Perform regular survey activities, Perform validation activities, Conduct pit inspections, Conduct area surveys, Conduct field interactions, Conduct incident investigations, Create safe zones, Ensure AHS activities comply with regulations, Ensure AHS activities comply with mine guidelines, Identify truck behaviors requiring maintenance, Identify truck behaviors requiring optimization, Inform appropriate personnel, Interact with AHS system for manual interventions, Troubleshoot autonomous equipment, Run recovery scripts, Manually reset equipment, Ensure equipment is maintained, Ensure equipment is used in accordance with company, Ensure system configuration is optimal for AMT performance, Manage truck recovery, Manage truck intervention, Investigate occurrences causing AMTs to stop, Complete documentation accurately, Complete data entry accurately, Monitor field operations, Monitor truck performance, Ensure key performance indicators are met, Identify faults, Troubleshoot equipment, Ensure truck is available in correct mode, Commit to continuous learning, Commit to continuous improvement, Improve team's skill set, Watch for inefficiencies, Watch for problems, Share problems with others, Share inefficiencies with others, Troubleshoot problems collaboratively, Resolve problems collaboratively, Consider risk along five dimensions, Coordinate with other team members on site, Meet shift deliverables, Mentor new team members, Train new team members, Lend expertise to the team, Communicate clearly, Communicate effectively using provided tools, Ensure equipment logs are accurate, Ensure equipment logs are complete, Ensure shift logs are accurate, Ensure shift logs are complete, Communicate deficiencies to appropriate team members, Participate in multi-disciplinary teams", "teamCollaboration" : "Cross-functional teams; Multi-disciplinary teams", "domainKnowledge" : "Open pit mining; Autonomous mining operations", "domainList" : [ "open-pit-mining", "autonomous-mining-operations" ], "domainSpecificKnowledge" : [ "Open pit mining", "Autonomous mining operations" ], "communicationSkills" : "Verbal communication; Written communication", "documentationSkills" : "Documentation completion; Data entry", "continuousLearning" : "Continuous learning; Continuous improvement; Improve team's skill set", "problemSolvingSkills" : "Troubleshooting; Root cause analysis", "outcomesObjectives" : "Ensure safe and production operations; Ensure AHS activities comply with regulations and mine guidelines; Ensure equipment is maintained and used according to standards; Ensure system configuration is optimal for AMT performance; Ensure key performance indicators are met; Deliver operational reliability", "qualificationsBasic" : "Grade 12 or equivalent, 5 or more years of experience in an open pit mining environment or autonomous operations environment", "qualificationsPreferred" : "College diplomas or university degrees in a related field such as mine engineering, robotics, or autonomous systems, Previous exposure to Autonomous Mining Systems", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Improve today. Define tomorrow. At Côté Gold, we focus on what we contribute, not just what we extract. We believe that in order for prosperity to be sustained, it must be shared, it must support the well-being of our employees and our communities, and it must be achieved with minimal impact to the environment. Côté Gold is being developed in partnership with the Mattagami First Nation, Flying Post First Nation and Métis Nation of Ontario, Region 3. The open-pit gold mine is a joint venture between IAMGOLD and Sumitomo Metal Mining Co. Ltd. and is operated by IAMGOLD. We are located near Gogama, Ontario, with access to stable infrastructure and strong connections with our local communities. Accessing Opportunities at Côté Gold IAMGOLD is committed to treating all people in a way that respects their dignity and independence. Should you require any support or accommodation during the recruitment process or otherwise, please notify us when you apply and we will work to meet your accessibility needs. Autonomous Command Pit Controller The Autonomous Command Pit Controller is responsible for coordinating all field aspects of Autonomous Operations Reliability. Advises the control centre on operational changes that should be made to optimize the autonomous operations as well as the individual truck operations within the mine. Key Responsibilities Area 1: Pit operations efficiency. Coordinate and direct operations team members to ensure safe and production operations. Perform regular survey and validation activities of the Autonomous Operating Zone (AOZ) Conduct pit inspections and area surveys. Conduct field interactions and incident investigations. Create safe zones for others to work. Ensure all Autonomous Haulage System (AHS) activities are carried out in compliance with regulations and mine guidelines. Identify truck behaviors that requires maintenance or optimization and inform appropriate personnel. Interact with the AHS system as needed for manual interventions. Area 2: Safe and reliable equipment operation and troubleshooting. Troubleshoot autonomous equipment, run recovery scripts and manually reset equipment as required. Ensure all equipment is maintained and used in accordance with company health and safety standards. Responsible for ensuring system configuration is optimal for Autonomous Mine Truck (AMT) performance. Responsible for truck recovery and intervention. Responsible for investigating any occurrences that cause AMTs to stop. Accurate completion of documentation and data entry where necessary. Monitor field operations and truck performance to ensure key performance indicators are met Identify faults and troubleshoot equipment as required. Responsible for ensuring the truck is available in the correct mode as required. Area 3: Improve autonomous operations reliability. Commit to continuous learning and improvement. Continually seek to improve your team's skill set. Watch for inefficiencies or problems. Ensure problems and inefficiencies are shared with others. Work collaboratively to troubleshoot and resolve problems. Consider risk along the five dimensions (throughput, time, quality, sustainability and cost). Area 4: Work collaboratively with others to deliver operational reliability. Coordinate with other team members on site to meet shift deliverables. Mentor and train new team members. Participate in and lend your expertise to the team. Communicate clearly and effectively using the tools provided. Ensure equipment logs and shift logs are accurate and complete. Ensure any deficiencies are communicated to the appropriate team members for follow up. Participate in multi-disciplinary teams to deliver on our commitment to our team, our communities, the environment, and our shareholders. Minimum Requirements and Nice To Haves Minimum Qualifications, Formal Education, Certifications or Equivalents Grade 12 or equivalent. College diplomas or university degrees in a related field such as mine engineering, robotics, or autonomous systems is considered an asset. Work Experience – Nature & Length 5 or more years of experience in an open pit mining environment or autonomous operations environment. Previous exposure to Autonomous Mining Systems is highly desirable, but not essential. Additional Qualifications – Competency Requirements Advanced computer literacy. Excellent communication skills (both verbal and written) Ability to work under pressure. Sound knowledge of open pit mining fundamentals and autonomous mining operations. What We Offer IAMGOLD believes in rewarding outstanding performance with an equally outstanding total rewards package. Our attractive offerings include: ● Competitive Salary and Bonus ● Extended Health, Dental and Insurance Benefit Coverage ● Health Spending Account ● Fitness & Wellness Subsidy ● Employee & Family Assistance Program ● Registered Pension Plan with Company Match ● Employee Share Purchase Plan with Company Match ● TFSA & RRSP ● Electric Vehicle Subsidy Empowering People – Extraordinary Performance IAMGOLD is a leading mid-tier Canadian gold producer with operating gold mines on three continents. We are in growth-mode, with a robust pipeline of development and exploration projects in Canada, South America and Africa. Throughout our 30 year history, we have demonstrated our commitment to responsible and sustainable mining practices, and our Zero Harm® commitment ensures that we continually strive to reach the highest standards in human health and safety, minimize our impact on the environment and support the development of the local communities in which we proudly operate. IAMGOLD was recently recognized by the Corporate Knights magazine on its Top 50 Corporate Citizens in Canada list. Canada", "summaryDescription" : "Autonomous Command Pit Controller at Côté Gold. Skills: Autonomous operations reliability, Pit operations efficiency, Equipment operation, Troubleshooting. Coordinate all field aspects of Autonomous Operations Reliability. Advise control centre on operational changes", "createdAt" : "2026-06-14T19:46:22.912", "lastUpdated" : "2026-06-16T00:49:03.879", "ingestTimestamp" : "2026-06-14T19:46:22.912", "mongoId" : "694ae6e370f0b99d589b3727", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Autonomous mining operations", "Autonomous operations reliability", "Pit operations efficiency", "Equipment operation", "Troubleshooting", "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Operational metrics", "Resource planning", "Continuous improvement", "Open pit mining" ], "skillCount" : 13, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Senior", "dataQualityScore" : 0.6666667, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Mining", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c68bb74d8ee00a09047b1", "title" : "Software Engineer, Autonomous Vehicles", "company" : "Helm.ai", "industry" : "AV", "salary" : { "min" : 175000.0, "max" : 250000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for Senior Software Engineers in the US Technology industry, adjusted for company size and remote work." }, "location" : "Remote - US", "locations" : [ "Remote - US" ], "timestamp" : "2026-06-15T04:58:43.475", "fingerprint" : "54fb9d0a4601e46d0489fdc461b520cae4f14386fa27c6e17235daccc0916ce2", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/helm-ai/0b3ebe5a-3cbb-419f-b5d3-4c986b344338/application", "externalId" : "0b3ebe5a-3cbb-419f-b5d3-4c986b344338", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "C++, Python, AI, ML, Neural networks, Unsupervised learning, High-performance computing, Real-time systems", "professionalSkills" : [ "Algorithm analysis", "System design", "Software engineering" ], "hardSkillsList" : [ "Real-time software development", "Algorithm optimization", "ML model deployment", "Data pipeline management", "Model versioning" ], "hardSkills" : [ { "name" : "Real-time software development", "level" : "intermediate" }, { "name" : "Algorithm optimization", "level" : "intermediate" }, { "name" : "ML model deployment", "level" : "intermediate" }, { "name" : "Data pipeline management", "level" : "intermediate" }, { "name" : "Model versioning", "level" : "intermediate" } ], "majorSkills" : "Backend systems, Software engineering, AI/ML", "majorSkillsList" : [ "Backend systems", "Software engineering", "AI/ML" ], "coreResponsibilities" : "Design vehicle software systems, Implement vehicle software systems, Test vehicle software systems, Collaborate with vendors, Partner with AI teams, Work with customers, Advance autonomous driving capabilities, Design real-time software, Develop real-time software, Deliver real-time software, Conduct algorithm analysis, Optimize algorithms, Iterate algorithms, Architect continuous learning system, Deploy ML models, Monitor ML model performance, Prioritize ML improvements, Collaborate with platform teams, Collaborate with embedded teams, Collaborate with AI teams, Ensure cohesive development, Ensure validation, Ensure integration, Stay abreast of industry trends, Stay abreast of emerging tools", "teamCollaboration" : "AI teams; Platform teams; Embedded teams", "domainKnowledge" : "Autonomous driving; Robotics; Deep Teaching methodology; Unsupervised learning; L2/L3 autonomy; Mass production; AV stack; High-performance computing; Real-time systems; AI-driven mobility; Software/hardware integration; Robotics middleware; ML model deployment; Safety-critical systems; Real-world testing protocols", "domainList" : [ "autonomous-driving", "robotics", "deep-teaching-methodology", "unsupervised-learning", "l2-l3-autonomy", "mass-production", "av-stack", "high-performance-computing", "real-time-systems", "ai-driven-mobility", "software-hardware-integration", "robotics-middleware", "ml-model-deployment", "safety-critical-systems", "real-world-testing-protocols" ], "domainSpecificKnowledge" : [ "Autonomous driving", "Robotics", "Deep Teaching methodology", "Unsupervised learning", "L2/L3 autonomy", "Mass production", "AV stack", "High-performance computing", "Real-time systems", "AI-driven mobility", "Software/hardware integration", "Robotics middleware", "ML model deployment", "Safety-critical systems", "Real-world testing protocols" ], "toolProficiency" : [ "ROS2", "CARLA" ], "communicationSkills" : "Communication skills", "continuousLearning" : "Stay abreast of industry trends; Stay abreast of emerging tools", "innovationCreativity" : "Innovation", "problemSolvingSkills" : "Problem-solving skills", "outcomesObjectives" : "Safer roads; Economically viable AI deployment", "qualificationsBasic" : "Bachelor's or Master's degree, Lead projects, Mentor team members, Work autonomously, Backend programming foundation, C++ programming, Python programming, Design performant software systems, Develop performant software systems, Deploy performant software systems, Design real-time software systems, Develop real-time software systems, Deploy real-time software systems, Data structures command, Algorithms command, Software architecture command, Design patterns command", "qualificationsPreferred" : "Ph. D. preferred, Experience in autonomous vehicle development, Software/hardware integration expertise, ROS2 experience, Robotics middleware experience, ML model deployment experience, ML model monitoring experience, Data pipeline management experience, Model versioning experience, Simulation tools experience, CARLA experience, Real-world testing protocols experience", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "We help make autonomous technologies more efficient, safer, and accessible. Helm.ai http://Helm.ai builds AI software for autonomous driving and robotics. Our \"Deep Teaching\" methodology is uniquely data and capital efficient, allowing us to surpass traditional approaches. Our unsupervised learning software can train neural networks for L2/L3 autonomy, which drastically reduces the need for human annotation and is hardware-agnostic. We work with some of the world's largest automotive manufacturers https://helm.ai/post/helm-ai-and-honda-motor-co-agree-to-multi-year-adas-joint-development-for-mass-production-consumer-vehicles towards mass production and we've raised over $100M from Honda, Mando, and others to help us scale. We are looking for versatile engineers to shape core components of the next generation of the Helm.ai http://Helm.ai autonomous stack. No prior experience in autonomous vehicles is required—we prioritize deep expertise in backend systems and a proven track record in high-impact software engineering. In this senior role, you will design, implement, and test safe, efficient, and reliable vehicle software/hardware systems, collaborate with sensor and compute vendors, partner with Helm.ai http://Helm.ai’s AI teams, and work with customers to advance highway and urban autonomous driving capabilities. You will: - Design, develop, and deliver safe, scalable, and robust real-time software for mass production grade autonomous vehicle systems directly contributing to safer roads and economically viable AI deployment. - Conduct in-depth algorithm analysis, optimization, and iteration to enhance efficiency and accuracy across the AV stack. - Architect scalable continuous learning system for deploying new ML models, monitoring their performance, and prioritizing improvements. - Collaborate with platform, embedded, and AI teams to ensure cohesive development, validation, and integration of ML based perception, prediction, and planning. - Stay abreast of industry trends and emerging tools in high-performance computing, real-time systems, and AI-driven mobility. You have: - Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, Robotics; Ph.D. preferred. - Demonstrated ability to lead projects, mentor team members, and work autonomously in high-stakes fast-paced environments. - Strong foundation in backend programming (C++, Python) and proven track record in designing, developing, and deploying performant and/or real-time software systems, e.g. aerospace, online ads, robotics, gaming, high-frequency trading. - Strong command of data structures, algorithms, software architecture, and design patterns. - Excellent problem-solving, communication, and collaboration skills, with a passion for innovation. The following are not required but a plus: - Experience in autonomous vehicle development, with expertise in software/hardware integration. Experience with ROS2 or other robotics middleware. - Experience with ML model deployment and monitoring in production environments, including data pipeline management and model versioning for safety-critical systems. - Expertise in simulation tools (e.g., CARLA) and real-world testing protocols for autonomous vehicles. We offer: - Competitive health insurance options - 401K plan management - Remote-friendly and flexible team culture - Free lunch and fully-stocked kitchen in our South Bay office - Additional perks: monthly wellness stipend, office set up allowance, company retreats, and more to come as we scale - The opportunity to work on one of the most interesting, impactful problems of the decade Helm.ai http://Helm.ai is proud to be an equal opportunity employer building a diverse and inclusive workforce. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. Any unsolicited resumes/candidate profiles submitted through our website or to personal email accounts of employees of Helm.ai http://Helm.ai are considered the property of Helm.ai http://Helm.ai and are not subject to payment of agency fees.", "summaryDescription" : "Software Engineer, Autonomous Vehicles at Helm.ai. Skills: Backend systems, Software engineering, AI/ML. Design vehicle software systems. Implement vehicle software systems", "createdAt" : "2026-06-14T03:54:44.538", "lastUpdated" : "2026-06-15T04:58:43.475", "ingestTimestamp" : "2026-06-14T03:54:44.538", "mongoId" : "6a2c68bb74d8ee00a09047b1", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 175000, "salaryAnnualMax" : 250000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Real-time software development", "Algorithm optimization", "ML model deployment", "Data pipeline management", "Model versioning", "Backend systems", "Software engineering", "AI/ML", "Algorithm analysis", "System design", "Autonomous driving", "Robotics", "Deep Teaching methodology", "Unsupervised learning", "L2/L3 autonomy", "Mass production", "AV stack", "High-performance computing", "Real-time systems", "AI-driven mobility", "Software/hardware integration", "Robotics middleware", "Safety-critical systems", "Real-world testing protocols", "ROS2", "CARLA" ], "skillCount" : 26, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2cafac74d8ee00a09d77ec", "title" : "Senior Project Manager (Autonomous Driving)", "company" : "42dot", "industry" : "PRODUCT", "salary" : { "min" : 8.5E7, "max" : 1.3E8, "currency" : "KRW", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Senior Project Manager in South Korea, adjusted for the technology industry, senior experience level, and the Pangyo city tier." }, "location" : "Pangyo (Software Dream Center), South Korea", "locations" : [ "Pangyo (Software Dream Center), South Korea" ], "certifications" : [ "ISO 26262", "ISO 21448", "UN R171", "Type Approval" ], "timestamp" : "2026-06-16T01:11:10.000", "fingerprint" : "c240e17a58b24360e6852f1b6cba733c311a5dd08e0aa37a67daa77d87ec7806", "source" : "ashby", "language" : "ko", "applyUrl" : "https://jobs.ashbyhq.com/42dot/51c7f616-1b14-4942-ac9a-47dbc77a0150/application", "externalId" : "51c7f616-1b14-4942-ac9a-47dbc77a0150", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Pangyo", "country" : "South Korea", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "37.3947237,127.1115312" } ], "locationText" : "Pangyo, South Korea", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "AI/ML, Software Architecture", "professionalSkills" : [ "Project management", "Program management", "System design", "Requirements definition", "Interface definition", "Roadmap planning", "Execution planning", "Cross-functional coordination", "Gate review operation", "Risk management", "Release management", "Stakeholder communication", "Trend analysis", "Strategy reflection", "Product specification", "Safety strategy", "Milestone management", "Engineering execution", "Technical mediation", "Decision support" ], "hardSkillsList" : [ "Agile development", "Type approval certification", "Global compliance" ], "hardSkills" : [ { "name" : "Agile development", "level" : "intermediate" }, { "name" : "Type approval certification", "level" : "intermediate" }, { "name" : "Global compliance", "level" : "intermediate" } ], "majorSkills" : "Autonomous Driving, Product Management, System Integration, Certification Management", "majorSkillsList" : [ "Autonomous Driving", "Product Management", "System Integration", "Certification Management" ], "coreResponsibilities" : "Lead AD system development, Define AD stack integration scope, Define external platform integration scope, Define milestone, Define MVP, Define roadmap, Define execution plan, Manage ODD requirements, Manage AD function requirements, Manage system requirements, Manage interface requirements, Manage safety requirements, Coordinate Perception organization, Coordinate Planning organization, Coordinate Control organization, Coordinate Localization organization, Coordinate Vehicle Interface organization, Coordinate validation organization, Coordinate quality organization, Coordinate mass production organization, Plan stage-based verification, Operate gate review, Manage backlog, Manage dependency, Manage issue, Manage risk, Manage release, Communicate development status, Communicate schedule, Communicate quality, Communicate risk, Communicate decision points, Analyze global regulations, Reflect trends in roadmap, Reflect trends in strategy, Define product requirements, Specify product, Manage product milestones, Secure product safety, Review product deliverables, Collaborate with engineering, Interface with customers, Interface with partners, Interface with certification bodies, Lead gate reviews, Lead audits, Drive execution across teams, Support technical decisions", "teamCollaboration" : "Cross-functional organizations; Global teams; External technology partners; Vendors; Customers; Partners; Certification bodies; Engineering organizations", "projectManagementSkills" : [ "Agile", "Roadmap", "Milestone", "Risk management", "Release management", "Gate review", "Backlog management", "Dependency management", "Issue management" ], "domainKnowledge" : "Software-defined Vehicle; Autonomous Driving Systems; Vehicle Software; Driver Control Assistance System; Global Type Approval; AD Stack; Vehicle Integration; System Safety; Functional Safety; Autonomous Driving Standards", "domainList" : [ "software-defined-vehicle", "autonomous-driving-systems", "vehicle-software", "driver-control-assistance-system", "global-type-approval", "ad-stack", "vehicle-integration", "system-safety", "functional-safety", "autonomous-driving-standards" ], "domainSpecificKnowledge" : [ "Software-defined Vehicle", "Autonomous Driving Systems", "Vehicle Software", "Driver Control Assistance System", "Global Type Approval", "AD Stack", "Vehicle Integration", "System Safety", "Functional Safety", "Autonomous Driving Standards" ], "toolProficiency" : [ "JIRA", "Confluence" ], "communicationSkills" : "Stakeholder communication; English communication; Technical discussion; Business negotiation", "documentationSkills" : "Technical documentation; Product specification; Safety strategy documentation", "problemSolvingSkills" : "Technical problem solving; Product perspective interpretation", "outcomesObjectives" : "Achieve global type approval; Lead product to mass production; Secure product safety; Successfully lead certification process", "qualificationsBasic" : "10+ years project/program management, 5+ years leading complex projects, Autonomous driving development experience, SDV development experience, Vehicle software development experience, AI/ML system development experience, SW/external platform integration experience, AD product lifecycle management, Software development process understanding, Requirements management understanding, Interface management understanding, Release management understanding, Global team collaboration, English communication skills, Requirements management tool usage, Technical documentation writing, OEM interface coordination, Tier 1 interface coordination, Global certification body interface coordination", "qualificationsPreferred" : "ADAS/AD mass production experience, Vehicle integration experience, OTA experience, Data pipeline experience, Perception stack understanding, Planning stack understanding, Control stack understanding, Localization stack understanding, Mapping stack understanding, Sensor fusion stack understanding, Vehicle interface stack understanding, SIL/HIL/VIL understanding, Simulation validation understanding, Scenario-based validation understanding, Proving ground validation understanding, Public road test understanding, Systems engineering experience, Software engineering experience, Vehicle safety experience, Certification experience, ISO 26262 application experience, ISO 21448 application experience, UN R171 application experience, AD architecture understanding, Control unit development process understanding, Global certification body audit experience, Type approval acquisition experience, Product perspective problem solving, Global partner negotiation skills, English technical discussion skills", "remoteFriendly" : true, "workSiteFlexibility" : "Onsite", "rawDescription" : "WE ARE LOOKING FOR THE BEST 42dot Product Management 조직은, SDV(Software-defined Vehicle) 에서 자율주행 프로젝트를 리딩할 역량 있는 Product Manager를 찾고 있습니다. 이 역할은 단순 일정 관리가 아닌 Vehicle Software 기반의 차량 개발을 end-to-end로 리딩하는 포지션입니다. 본 포지션은 Vehicle Engineering 이해를 기반으로 하되, Lv 2~ Lv 4 자율주행 시스템의 요구 사항, 개발, 검증, 릴리즈, 차량 적용까지 전 과정을 통합 관리하며, 소프트웨어 아키텍처 관점에서 프로젝트를 구조화하고 리딩할 수 있는 역량이 요구됩니다. 그리고 DCAS(Driver Control Assistance System)의 글로벌 형식 승인(Type Approval) 인증을 담당하여, 인증 전략 수립부터 기술 문서 작성, 내·외부 이해관계자 조율, 인증 기관 심사 대응까지 인증 프로세스 전반을 end-to-end로 주도합니다. 복잡한 자율주행 기술 스택과 다수의 이해관계자 사이에서 명확한 방향성을 제시하고, 글로벌 기준에 부합하는 고품질 인증 산출물을 성공적으로 이끌어낼 분을 모십니다. Responsibilities - AD Product Manager - AD 시스템 개발의 기획, 개발, 검증, 양산까지 end-to-end 프로젝트 리딩 - 자체 개발 AD stack과 외부 플랫폼 간 개발/통합 범위를 정의하고, milestone, MVP, roadmap 및 실행 계획 수립 - ODD, AD 기능, 시스템 요구사항, interface, safety requirement 등 주요 요구사항 관리 및 유관 조직 alignment - Perception, Planning, Control, Localization, Vehicle Interface, 검증, 품질, 양산 등 다양한 조직 간 cross-functional coordination 수행 - SIL/HIL/VIL, simulation, proving ground, public road test 등 단계별 검증 계획 수립 및 gate review 운영 - JIRA, Confluence 등 Agile 기반 프로젝트 운영을 통해 backlog, dependency, issue, risk, release 관리 - 경영진 및 주요 이해관계자 대상 개발 현황, 일정, 품질, 리스크, 주요 의사결정 사항 커뮤니케이션 - DCAS Certification Manager - 글로벌 자율주행 및 ADAS 법규의 트렌드 분석 및 제품 로드맵·출시 전략 반영 - 인증 법규 요구사항 기반의 제품 기능적/비기능적 요구사항 정의 및 제품 스펙 구체화 - 자율주행 제품의 컨셉, 설계, 검증, 최종 형식 승인 및 양산 출시 전 과정의 마일스톤 관리 - 글로벌 표준에 부합하는 제품 안전성 확보 전략 수립 및 산출물의 검토, 엔지니어링 조직과의 협업 - 고객, 협력사, 글로벌 인증 기관과의 인터페이스 총괄 및 제품 승인을 위한 게이트 리뷰 및 심사 리드 - Agile & Engineering Execution - Agile 개발 환경(JIRA, Confluence 등) 기반 운영 - Milestone 관리 - Gate review 리딩 및 경영진 대상 기술 기반 의사결정 지원 - Cross-functional 조직 간 기술 중재 및 실행 드라이브 Qualifications - Automotive, Mobility, Robotics, AI 또는 Software 산업에서 10년 이상 프로젝트/프로그램 관리 경험 - 대규모 cross-functional 또는 복잡도 높은 기술 개발 프로젝트를 5년 이상 리드한 경험 - 자율주행, SDV, 차량 소프트웨어 또는 AI/ML 기반 시스템 개발 프로젝트 경험 - 자체 개발 SW와 외부 솔루션/플랫폼을 함께 활용하는 환경에서 integration, dependency, risk, milestone 관리 경험 - AD 제품의 기획부터 양산까지 전체 라이프사이클 관리 경험 - 소프트웨어 개발 프로세스, 요구사항 관리, interface 관리, release 관리에 대한 이해 - 글로벌 팀, 외부 기술 파트너 또는 vendor와의 협업 및 영어 기반 커뮤니케이션 능력 - 요구사항 관리 및 개발/협업 도구를 활용한 시스템, 소프트웨어 요구사항 정의와 기술 문서 작성 경험 - OEM, Tier 1, 글로벌 인증 기관 등 다양한 이해관계자와의 인터페이스 조율 및 협업 경험 Preferred Qualifications - ADAS/AD 양산 및 vehicle integration, OTA, data pipeline 관련 프로젝트 경험 - Perception, Planning, Control, Localization, Mapping, Sensor Fusion, Vehicle Interface 등 AD stack에 대한 이해 - SIL/HIL/VIL, simulation, scenario-based validation, proving ground, public road test 등 AD 검증 환경에 대한 이해 - 시스템 및 소프트웨어 엔지니어링, 차량 안전 및 인증 관련 3년 이상 실무 경력 - 기능안전/자율주행 표준(ISO 26262, ISO 21448, UN R171 등) 중 1개 이상의 실무 적용 경험 - AD 아키텍처 및 제어기 개발 프로세스 이해를 바탕으로 한 엔지니어링 조직과의 기술 논의 경험 - 글로벌 인증 기관 Audit 대응 및 차량용 시스템/소프트웨어 법규 승인(Type Approval) 획득 경험 - 기술적 이슈를 제품 관점에서 해석하고, 다수의 이해관계자 사이에서 명확한 방향성을 제안하는 역량 - 글로벌 파트너 및 인증 기관 대상의 원활한 영어 기술 논의 및 비즈니스 협상 능력 Interview Process - 서류전형 - 화상면접 (1시간 내외) - 대면 혹은 화상면접 (3시간 내외) - 최종합격 - 전형절차는 직무별로 다르게 운영될 수 있으며, 일정 및 상황에 따라 변동될 수 있습니다. - 전형일정 및 결과는 지원서에 등록하신 이메일로 개별 안내드립니다. Additional Information - 이력서 제출 시 주민등록번호, 가족관계, 혼인 여부, 연봉, 사진, 신체조건, 출신 지역 등 채용절차법상 요구 금지된 정보는 제외 부탁드립니다. - 모든 제출 파일은 30MB 이하의 PDF 양식으로 업로드를 부탁드립니다. (이력서 업로드 중 문제가 발생한다면 지원하시고자 하는 포지션의 URL과 함께 이력서를 recruit@42dot.ai으로 전송 부탁드립니다.) - 인터뷰 프로세스 종료 후 지원자의 동의하에 평판조회가 진행될 수 있습니다. - 국가보훈대상자 및 취업보호 대상자는 관계법령에 따라 우대합니다. - 장애인 고용 촉진 및 직업재활법에 따라 장애인 등록증 소지자를 우대합니다. - 42dot은 의뢰하지 않은 서치펌의 이력서를 받지 않으며, 요청하지 않은 이력서에 대해 수수료를 지불하지 않습니다. - 3개월의 수습기간이 적용될 수 있습니다. ※ 지원 전 아래 내용을 꼭 확인해 주세요. - 42dot이 일하는 방식, 42dot Way 보러가기 → https://42dot.ai/careers/way - 42dot만의 업무몰입 프로그램, Employee Engagement Program 보러가기 → https://42dot.ai/careers/program", "summaryDescription" : "Senior Project Manager (Autonomous Driving) at 42dot. Skills: Autonomous Driving, Product Management, System Integration, Certification Management. Lead AD system development. Define AD stack integration scope", "createdAt" : "2026-06-14T20:20:42.189", "lastUpdated" : "2026-06-16T01:11:10.000", "ingestTimestamp" : "2026-06-14T20:20:42.189", "mongoId" : "6a2cafac74d8ee00a09d77ec", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Agile development", "Type approval certification", "Global compliance", "Autonomous Driving", "Product Management", "System Integration", "Certification Management", "Project management", "Program management", "System design", "Requirements definition", "Interface definition", "Roadmap planning", "Execution planning", "Cross-functional coordination", "Gate review operation", "Risk management", "Release management", "Stakeholder communication", "Trend analysis", "Strategy reflection", "Product specification", "Safety strategy", "Milestone management", "Engineering execution", "Technical mediation", "Decision support", "Agile", "Roadmap", "Milestone", "Gate review", "Backlog management", "Dependency management", "Issue management", "Software-defined Vehicle", "Autonomous Driving Systems", "Vehicle Software", "Driver Control Assistance System", "Global Type Approval", "AD Stack", "Vehicle Integration", "System Safety", "Functional Safety", "Autonomous Driving Standards", "ISO 26262", "ISO 21448", "UN R171", "Type Approval", "JIRA", "Confluence" ], "skillCount" : 50, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c93fa74d8ee00a098964f", "title" : "Autonomous Operations Specialist, Equipment Operator", "company" : "Pronto AI", "industry" : "Technology", "salary" : { "min" : 71000.0, "max" : 89000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Remote", "locations" : [ "Remote" ], "timestamp" : "2026-06-15T10:15:20.475", "fingerprint" : "8fa8f0baadbb839036f40b682ddf8004870a8fae613e055af232702d4b9cc206", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/pronto/jobs/8587069002", "externalId" : "8587069002", "industryFunction" : { }, "structuredLocations" : [ { "workMode" : "remote" } ], "locationText" : "", "employmentType" : "FULL_TIME", "experienceMinYears" : 3, "experienceMaxYears" : 5, "professionalSkills" : [ "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Resource planning" ], "hardSkillsList" : [ "Equipment inspection", "Light maintenance" ], "hardSkills" : [ { "name" : "Equipment inspection", "level" : "intermediate" }, { "name" : "Light maintenance", "level" : "intermediate" } ], "majorSkills" : "Autonomous vehicle technology, Equipment operation, Safety driving", "majorSkillsList" : [ "Autonomous vehicle technology", "Equipment operation", "Safety driving" ], "coreResponsibilities" : "Serve as Safety Drivers, Test and provide feedback, Operate heavy equipment, Assist with development, Assist with testing, Refine safety protocols, Perform equipment inspections, Perform light maintenance, Maintain operating records", "teamCollaboration" : "Work with engineering teams; Collaborate with operators", "domainKnowledge" : "Autonomous Haulage Systems; Mining operations; Quarrying operations; Construction sites", "domainList" : [ "autonomous-haulage-systems", "mining-operations", "quarrying-operations", "construction-sites" ], "domainSpecificKnowledge" : [ "Autonomous Haulage Systems", "Mining operations", "Quarrying operations", "Construction sites" ], "innovationCreativity" : "Inventing the future", "specialRequirements" : "Willingness to travel, Work occasional nights, Work occasional weekends", "outcomesObjectives" : "Make mining operations safer; Make mining operations smarter; Make mining operations more efficient", "qualificationsBasic" : "Professional driving experience 3-5 years, Clean safety record", "qualificationsPreferred" : "Experience with mining operations, Experience with quarrying operations, Experience operating heavy equipment", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Who we are Pronto AI is a global leader in commercializing autonomous vehicle (AV) technology, deploying Autonomous Haulage Systems (AHS) that automate operations in mines, quarries, and construction sites worldwide. While much of the industry remains in R&D, we deliver real, production-ready autonomy that is already operating in the field. We are on a mission to make mining operations safer, smarter, and more efficient through cutting-edge technology, and we are building toward becoming the world’s first profitable AV technology company. What you’ll do We are looking for entrepreneurial Test Operators to help us revolutionize the mining and quarrying industries. We give our Operators a wide range of responsibilities / opportunities to help us develop and roll-out our autonomous technologies to the world. This is not a standard driving position - it's an opportunity for highly capable, motivated professionals to be part of a technology team that is moving fast, is inventing the future of haulage, and asks a lot of its team members. Serving as Safety Drivers in our autonomous off-road haul trucks at our customer deployments in our various locations across the US. Working directly with our engineering teams to test and provide feedback on new technologies / features When necessary, operating other heavy equipment, such as excavators, loaders, and / or bulldozers Assisting with the development and testing of our off-road autonomous technologies Following and helping to refine / further develop safety protocols Performing routine equipment inspections and light maintenance Maintaining accurate operating records What we’re looking for An entrepreneurial mindset and a desire to be part of an early stage, deep tech startup that is inventing the future of the mining and quarrying industries Professional driving experience of at least 3-5 years, either off-road or on-road, with a clean safety record Experience with mining and / or quarrying operations preferred Experience operating other heavy equipment (e.g., excavators, loaders, bulldozers) preferred Willingness to travel as necessary and work occasional nights / weekends Strong communication skills, attention to detail, and ability to work in demanding, fast-paced environments Why join us Work on real, production-deployed autonomy. Build technology that directly improves safety, efficiency, and productivity. Tackle complex challenges in demanding, real-world environments. Be part of a fast-moving team with high ownership and impact. See your work deployed and making a difference in the field. Collaborate closely with experienced engineers and industry operators. What else you need to know As a company driven by innovation and continuous change, close collaboration is essential. We’re constantly reimagining our industry, creating new products, and refining our processes, and we do our best work together. While this role is remote, travel to our various field sites across the US is a critical part of this operation. The base salary range for this role is $71,000-$89,000 per year and will vary based on location. Actual compensation will be determined on an individual basis and may vary depending on experience, skills, and qualifications. Base salary is just one part of your total rewards package. You may also be eligible for equity awards and an annual performance-based bonus. Benefits Summary (USA Full-Time Exempt Employees): Medical, Dental, Vision, Disability, and Life Insurance Flexible Spending Account / Health Savings Account Options 401(k) Equity Sick Time, Unlimited Flexible Time Off, and Paid Holidays Paid Parental Leave Pre-Tax Commuter Benefit Plan Benefits are subject to change at the company's discretion. Pronto accepts applications on an ongoing basis. Ready to join us as we serve those who serve others? #LI-Onsite", "summaryDescription" : "Autonomous Operations Specialist, Equipment Operator at Pronto AI. Skills: Autonomous vehicle technology, Equipment operation, Safety driving. Serve as Safety Drivers. Test and provide feedback", "postedDate" : "2026-06-14T08:47:12.834", "createdAt" : "2026-06-14T08:47:12.834", "lastUpdated" : "2026-06-15T10:15:20.475", "ingestTimestamp" : "2026-06-14T08:47:12.834", "mongoId" : "6a2c93fa74d8ee00a098964f", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 71000, "salaryAnnualMax" : 89000, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "Equipment inspection", "Light maintenance", "Autonomous vehicle technology", "Equipment operation", "Safety driving", "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Resource planning", "Autonomous Haulage Systems", "Mining operations", "Quarrying operations", "Construction sites" ], "skillCount" : 14, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "69ce5e3b9bc74574cb677a05", "title" : "Working Student Autonomous Driving Research", "company" : "Mercedes-Benz AG", "industry" : "Manufacturing", "salary" : { "min" : 48000.0, "max" : 60000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an entry-level working student in the automotive industry in Sindelfingen, Germany, adjusted for company size and industry." }, "location" : "Germany-Baden-Württemberg-Sindelfingen", "locations" : [ "Germany-Baden-Württemberg-Sindelfingen", "Kolumbusstr. 19 21, , Sindelfingen" ], "timestamp" : "2026-06-15T03:31:20.398", "fingerprint" : "5939c9fb5ac3cab3645fe55e3604a4f0dce1a64f5784e636da86777b73dc4848", "source" : "taleo", "language" : "en", "applyUrl" : "https://daimler.taleo.net/careersection/ex/jobdetail.ftl?job=888850", "externalId" : "888850", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Sindelfingen", "state" : "Baden-Württemberg", "country" : "Germany", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "48.7084162,9.0035455" } ], "locationText" : "Sindelfingen, Baden-Württemberg, Germany", "employmentType" : "INTERNSHIP", "minimumEducation" : "Master's", "technicalSkills" : "Python, C++, Linux, Convolutional Neural Networks, Vision Transformers, Diffusion Networks, Deep learning, Computer Vision, Foundation Models, Generative AI, LLM, VLM, VLAM, Docker", "professionalSkills" : [ "Data processing", "Model training", "Validation", "Literature research", "Algorithm evaluation", "Problem-solving" ], "hardSkillsList" : [ "Automated dataset preparation", "Coding framework development", "Data processing", "Model training", "Validation", "Literature research", "Algorithm analysis", "Performance evaluation" ], "softSkillsList" : [ "Motivation", "Independence" ], "hardSkills" : [ { "name" : "Automated dataset preparation", "level" : "intermediate" }, { "name" : "Coding framework development", "level" : "intermediate" }, { "name" : "Data processing", "level" : "intermediate" }, { "name" : "Model training", "level" : "intermediate" }, { "name" : "Validation", "level" : "intermediate" }, { "name" : "Literature research", "level" : "intermediate" }, { "name" : "Algorithm analysis", "level" : "intermediate" }, { "name" : "Performance evaluation", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Motivation" }, { "name" : "Independence" } ], "majorSkills" : "Autonomous Driving, Neural Networks, Generative Models, Data Generation", "majorSkillsList" : [ "Autonomous Driving", "Neural Networks", "Generative Models", "Data Generation" ], "coreResponsibilities" : "Prepare datasets, Contribute to coding framework, Conduct literature research, Analyze algorithm performance, Evaluate algorithm performance, Participate in meetings, Discuss project progress, Share insights, Support problem-solving", "teamCollaboration" : "Diverse team; International colleagues", "domainKnowledge" : "Autonomous driving; Urban navigation; Neural network architectures; Generative models; End-to-end driving systems; Foundation Models; Generative AI; LLM; VLM; VLAM", "domainList" : [ "autonomous-driving", "urban-navigation", "neural-network-architectures", "generative-models", "end-to-end-driving-systems", "foundation-models", "generative-ai", "llm", "vlm", "vlam" ], "domainSpecificKnowledge" : [ "Autonomous driving", "Urban navigation", "Neural network architectures", "Generative models", "End-to-end driving systems", "Foundation Models", "Generative AI", "LLM", "VLM", "VLAM" ], "toolProficiency" : [ "Pytorch", "Docker" ], "communicationSkills" : "Communication skills", "continuousLearning" : "Literature research", "innovationCreativity" : "Novel neural network architectures; Pioneering methods; Innovative approaches", "problemSolvingSkills" : "Problem-solving", "specialRequirements" : "6-12 months duration", "outcomesObjectives" : "Enhance safety; Enhance reliability; Improve performance; Improve adaptability; Navigate complex scenarios", "qualificationsBasic" : "Master’s degree in quantitative field, Working student position, English and/or German fluency, Object-oriented programming skills, Linux familiarity, Convolutional Neural Networks understanding, Vision Transformers understanding, Diffusion Networks understanding, Communication skills in remote environment, Ability to think ahead, Independence", "qualificationsPreferred" : "Deep learning frameworks familiarity, Computer Vision familiarity, Foundation Models familiarity, Generative AI familiarity, LLM / VLM/VLAM experience, Docker experience, German language proficiency", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "Are you passionate about robots taking over the world? Then look no further! We are constantly looking for highly motivated students to join our autonomous car research team in Stuttgart, Germany in the following area: Navigating urban areas presents unique challenges for autonomous vehicles, requiring sophisticated algorithms and custom-generated data to ensure safety and reliability. Within the publicly funded projects STADT:up (stadtup-online.de) and nxtAIM (nxtaim.de), we are dedicated to developing advanced algorithms to address these challenges. Our research focuses on developing novel neural network architectures that enhance the safety and reliability of autonomous vehicles in urban areas. In addition to that, we are pioneering methods to generate new data, which is vital for training and optimizing our models. These innovative approaches aim to improve the performance and adaptability of autonomous driving systems, enabling them to navigate complex urban scenarios safely and efficiently. You can look forward to working with a diverse team of international colleagues and enjoying good coffee as well as the occasional cake (we love it when you bring one to share!). The tasks of the working student will include: Prepare large-scale automated driving datasets for training and evaluation purposes. Contribute to the development and maintenance of the coding framework for data processing, model training, and validation of end-to-end driving systems. Conduct literature research to familiarize yourself with the latest advancements in autonomous driving and generative models Analyze and evaluate algorithm performance using public and in-house datasets, identifying strengths and areas for improvement Participate in regular meetings to discuss project progress, share insights, and support collaborative problem-solving The activity can begin from Mai 2026. Minimum Skills Required: Pursuing a Master’s degree in a highly quantitative field such as Computer Science, Physics, Mathematics, Electrical Engineering or adjacent fields Looking for a working student position Fluency in English and/or German Strong programming skills in an object-oriented programming language such as Python/ C++ Familiarity with Linux Understanding of Convolutional Neural Networks/Vision Transformers/Diffusion Networks Strong communication skills in a partially remote work environment Ability to think ahead / Independence Nice to haves but not required: Familiarity with deep learning frameworks such as Pytorch Familiarity with Computer Vision, Foundation Models, Generative AI Familiarity with LLM / VLM/VLAM Experience with Docker German language Additional information: The position is based at our research lab in Sindelfingen (partial remote work possible) Ideally candidates are available for a duration of 6-12 months We only consider applications that are attached by at least a curriculum vitae, a motivation letter as well as a recent transcript of records For further information, please feel free to contact us via email We look forward to receiving your online application, including a resume, cover letter, certificates, current certificate of enrollment stating your semester, and proof of the standard period of study. Please remember to mark your documents as \"relevant for this application\" in the online form and observe the maximum file size of 5 MB. You can find further information on the hiring criteria here . Severely disabled applicants and applicants with equivalent status are welcome! The representative for severely disabled employees (sbv-sindelfingen@mercedes-benz.com) will gladly support you in the application process. HR Services will be happy to help you with any questions you may have about the application process. You can reach us by email at myhrservice@mercedes-benz.com or by phone at 0711/17-99000 (Mon-Fri 10am-12pm & 1pm-3pm). Mercedes-Benz AG", "summaryDescription" : "Working Student Autonomous Driving Research at Mercedes-Benz AG. Skills: Autonomous Driving, Neural Networks, Generative Models, Data Generation. Prepare datasets. Contribute to coding framework", "createdAt" : "2026-06-14T01:07:48.547", "lastUpdated" : "2026-06-15T03:31:20.398", "ingestTimestamp" : "2026-06-14T01:07:48.547", "mongoId" : "69ce5e3b9bc74574cb677a05", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "30k-50k", "hasSalary" : false, "allSkills" : [ "Automated dataset preparation", "Coding framework development", "Data processing", "Model training", "Validation", "Literature research", "Algorithm analysis", "Performance evaluation", "Motivation", "Independence", "Autonomous Driving", "Neural Networks", "Generative Models", "Data Generation", "Algorithm evaluation", "Problem-solving", "Autonomous driving", "Urban navigation", "Neural network architectures", "Generative models", "End-to-end driving systems", "Foundation Models", "Generative AI", "LLM", "VLM", "VLAM", "Pytorch", "Docker" ], "skillCount" : 28, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Entry", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Automotive", "llmIndustryConfidence" : 0.95 }, { "id" : "6a191e7758b93c861e39f6b0", "title" : "Project & Product Management of Autonomous Driving", "company" : "Mercedes-Benz Group China Ltd.", "industry" : "Manufacturing", "salary" : { "min" : 650000.0, "max" : 1100000.0, "currency" : "CNY", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Senior Project & Product Management in the Automotive industry in Beijing, China, adjusted for company size and seniority." }, "location" : "China (Mainland)-Beijing-Beijing", "locations" : [ "China (Mainland)-Beijing-Beijing", "8 Boxing Road, BDA, Beijing" ], "timestamp" : "2026-06-16T01:46:38.785", "fingerprint" : "d9ec25ee665eef7e77503620db71e7d3ebffc0707de090e8551651c11cb0f8de", "source" : "taleo", "language" : "en", "applyUrl" : "https://tas-daimler.taleo.net/careersection/ex/jobdetail.ftl?job=898617", "externalId" : "898617", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Beijing", "country" : "China", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "39.9057136,116.3912972" } ], "locationText" : "Beijing, China", "technicalSkills" : "AI", "professionalSkills" : [ "Product management", "Project management", "Resource management", "Risk management", "Supplier management", "Change management", "Business case evaluation", "Demand management", "Test management", "Legal evaluation", "Organization build-up" ], "hardSkillsList" : [ "Software development", "Hardware development", "Vehicle development", "Product industrialization" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Software development", "level" : "intermediate" }, { "name" : "Hardware development", "level" : "intermediate" }, { "name" : "Vehicle development", "level" : "intermediate" }, { "name" : "Product industrialization", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Product management, Project management, Autonomous Driving, ADAS", "majorSkillsList" : [ "Product management", "Project management", "Autonomous Driving", "ADAS" ], "coreResponsibilities" : "Lead MB. OS ADAS product & project development, Coordinate project management for MB ADAS projects, Track product & project maturity status, Create transparency about project scopes and timeline, Report project status, Manage resources, Manage risks, Co-work with Domain regards of supplier management, Maintain development project management system, Act as interface between different projects, Provide development project information, Provide technical consultant, Define cross functional ADAS product development system, Define cross functional ADAS product development tools, Own defined product development system, Own defined product development tools, Provide transparency to stakeholders, Drive development of system and processes, Plan project resources, Plan project budget, Align with RD HQ, Align with controlling, Lead resource lifecycle management, Utilize planned resource intelligently, Create project holistic overview, Update project premise handbook, Update project timeline, Communicate cross domainly, Define project scope, Define feature roll-out plan, Monitor implementation status, Defect project risks, Support supplier dialog, Support supplier meetings, Align product strategy, Support project business case evaluation, Support RD related funding, Manage escalation, Manage project delay, Manage resource shortage, Manage critical supplier performance, Steer change requests, Manage change cost, Manage change timeline, Provide technical support, Support surrounding processes, Support demand management, Support test management, Support legal evaluation, Support team matters, Support organization build-up", "teamCollaboration" : "Cross functional teams; Multi-stakeholder management; Diverse business partners", "projectManagementSkills" : [ "Agile", "Scrum", "PMP", "Jira", "Confluence" ], "domainKnowledge" : "Autonomous Driving; ADAS; Vehicle hardware; Vehicle software; Vehicle EE architecture; Vehicle SW architecture; Carline product industrialization; Series production; China-fit product", "domainList" : [ "autonomous-driving", "adas", "vehicle-hardware", "vehicle-software", "vehicle-ee-architecture", "vehicle-sw-architecture", "carline-product-industrialization", "series-production", "china-fit-product" ], "domainSpecificKnowledge" : [ "Autonomous Driving", "ADAS", "Vehicle hardware", "Vehicle software", "Vehicle EE architecture", "Vehicle SW architecture", "Carline product industrialization", "Series production", "China-fit product" ], "toolProficiency" : [ "MS Office", "PowerPoint", "Excel", "Word", "Jira", "Confluence" ], "communicationSkills" : "Presentation skills", "specialRequirements" : "Willingness to travel", "qualificationsBasic" : "Master degree in electrical engineering, software engineering or computer science, 5+ years of experience in software development projects, Excellent skills in multi-stakeholder management, Good skills in conflict management, Advanced MS Office skills, Very good English", "qualificationsPreferred" : "Work experience at OEMs or suppliers, E/E especially ADAS and SW development experience, Working experience in international company, Experience with ADAS components/application, Experience working in an Agile development environment, Experience as scurm master or product owner, Advance knowledge in project management methodologies, PMP certification, Good knowledge & experiences about hardware/software/carline product industrialization, Know-how with vehicle EE architecture, Know-how with SW architecture/development, Familiar with vehicle development process, Experiences in collaboration with Joint venture partner, Experiences in supplier management, Good spirit, knowledge & experiences about AI tools, German language skills", "remoteFriendly" : false, "workSiteFlexibility" : "Flexible", "rawDescription" : " Object : Responsible as project lead for MB.OS ADAS product & project development for MB carlines in China market. Leading and coordinating the project management for MB ADAS projects in sense of development & industrialization phase, carline rollout phase and also change management within lifecycle. Responsible for product & project maturity status tracking towards carline SoP. Create transparency about projects scopes and timeline, be responsible for project status report, resources management and risk management, co-work with Domain regards of supplier management, maintain an efficient development project management system within the project lifecycle time Job designation/Field of work: Collaborate with different stakeholders, acting as the interface between different projects and providing necessary development project information and technical consultant for relevant stakeholders . Define and conduct cross functional ADAS product development system and tools for China market development projects. In order to create transparency for project milestone cross domainly, as well as resource distribution . Own the defined product development system and tools and provide the transparency to all stakeholders. Drive continously the development of the system and processes to ensure the high requirement of project management and effienciency . Project resource & budget planning including FTE & VMAT etc and alignment with RD HQ and controlling. Lead the resource lifecycle management according to different project . phases/workloads/milestone in order to ultilize the planned resource in an intelligent and reasonable way. Regular project status report to create project holistic overview for the relevant stakeholders and management . Regular project premise handbook and timeline update and cross domain communication to FO/PO and management . Define project scope and feature roll-out plan and monitoring the implementation status on each milestone . Management escalation by defecting project risks as earlier as possible. Support supplier dialog/meetings with management for critical projects . Product strategy alignment with multi - stakeholders . Support on project business case evaluation including RD related funding . Escalation and risk management: e.g. project delay, resource shortage, critical supplier performance at the delivery milestone etc. Change management during the project lifecycle time: Overall steering the change requests, cost and timeline management for the change implementation . Technical support for Project leaders and function managers with project management knowledge . Support surrounding processes (demand management, test management, legal evaluation) to cover the complete lifecycle of delivering a “China-fit” product. Support on Team matters, and organization build-up . Qualifications: Education: Master degree in electrical engineering, software engineering or computer science, or similar major Experience: Good knowledge/experience about vehicle hardware/software development project . Work experience at OEMs or suppliers for E/E especially ADAS and SW development is a plus. At least 5+ years of experience in software development projects . At least 5+ years of experience in software development projects . Working experience in international company is a plus. Experience with ADAS components/application is plus, e.g. Auto Parking, Driving assistant system, AEB… Experience working in an Agile development environment, Agile/Scrum methodology, experience as scurm master or product owner is plus . Specific Knowledge & requirements: Advance knowledge in terms of methodologies in project management, e.g. project plan, risk analysis, PMP is a plus. Good understanding about hardware & software development & quality methodologies, good knowledge & experiences about hardware/software/carline product industrialization for vehicle series production . Know-how with vehicle EE architecture and SW architecture/development is a plus . Familiar with vehicle development process is an advantage, experiences in collaboration with Joint venture partner or is a plus . Experiences in supplier management is a plus . Excellent skills in multi-stakeholder management and diverse business partners, experiences and good skills in conflict management is need . Advanced MS Office skills in PowerPoint, Excel and Word. Good spirit, knowledge & experiences about AI tools is a plus . Experience with Jira and Confluence or similar PM tools. Self-responsibility with high motivation for moving things forward, team player with team spirit . Leading and drive spirit with excellent communication, interpersonal and presentation skills . Willingness to travel inside China and foreign countries. Open minded for taking over challenges & responsibility with resilience . Very good English. German is a plus. Mercedes-Benz Group China Ltd.", "summaryDescription" : "Project & Product Management of Autonomous Driving at Mercedes-Benz Group China Ltd.. Skills: Product management, Project management, Autonomous Driving, ADAS. Lead MB. OS ADAS product & project development. Coordinate project management for MB ADAS projects", "createdAt" : "2026-06-14T19:19:36.333", "lastUpdated" : "2026-06-16T01:46:38.785", "ingestTimestamp" : "2026-06-14T19:19:36.333", "mongoId" : "6a191e7758b93c861e39f6b0", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Software development", "Hardware development", "Vehicle development", "Product industrialization", "Leadership", "Product management", "Project management", "Autonomous Driving", "ADAS", "Resource management", "Risk management", "Supplier management", "Change management", "Business case evaluation", "Demand management", "Test management", "Legal evaluation", "Organization build-up", "Agile", "Scrum", "PMP", "Jira", "Confluence", "Vehicle hardware", "Vehicle software", "Vehicle EE architecture", "Vehicle SW architecture", "Carline product industrialization", "Series production", "China-fit product", "MS Office", "PowerPoint", "Excel", "Word" ], "skillCount" : 34, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.6666667, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Automotive", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c783674d8ee00a093e5b9", "title" : "Autonomous Vehicle Operator", "industry" : "Business Operations", "salary" : { "min" : 115000.0, "max" : 165000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Autonomous Vehicle Operator in Houston, adjusted for mid-seniority and the technology industry." }, "location" : "Houston, TX", "locations" : [ "Houston, TX" ], "certifications" : [ "Valid U. S. driver's license" ], "timestamp" : "2026-06-16T00:57:30.909", "fingerprint" : "fb13f1c9880767efdf818ace1081f556dfe14516b7c57a52b87f83db56aca468", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/isee/652062e1-1c9b-4436-8b1a-ada67c1a1cbb/apply", "externalId" : "652062e1-1c9b-4436-8b1a-ada67c1a1cbb", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Houston", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "29.7589382,-95.3676974" } ], "locationText" : "Houston, Texas, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "technicalSkills" : "Linux, Google Suite, Jira, Slack, Git", "professionalSkills" : [ "Technical acumen", "Technical aptitude" ], "hardSkillsList" : [ "Troubleshooting", "Log data review", "System failure analysis", "Disengagement analysis", "Diagnostic tree updates" ], "softSkillsList" : [ "Independent operation" ], "hardSkills" : [ { "name" : "Troubleshooting", "level" : "intermediate" }, { "name" : "Log data review", "level" : "intermediate" }, { "name" : "System failure analysis", "level" : "intermediate" }, { "name" : "Disengagement analysis", "level" : "intermediate" }, { "name" : "Diagnostic tree updates", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Independent operation" } ], "majorSkills" : "Autonomous vehicle operation, Real-time monitoring, Troubleshooting", "majorSkillsList" : [ "Autonomous vehicle operation", "Real-time monitoring", "Troubleshooting" ], "coreResponsibilities" : "Monitor Autonomous Yard Trucks, Support Autonomous Yard Trucks, Provide troubleshooting technical support, Review log data, Isolate issues, Track issues, Document issues, Triage issues, Update knowledge base, Update diagnostic trees, Interact with customers", "teamCollaboration" : "Interact with customers", "domainKnowledge" : "Autonomous vehicle systems; Automotive systems", "domainList" : [ "autonomous-vehicle-systems", "automotive-systems" ], "domainSpecificKnowledge" : [ "Autonomous vehicle systems", "Automotive systems" ], "toolProficiency" : [ "Google Suite", "Jira", "Slack", "Git" ], "communicationSkills" : "Written communication; Verbal communication", "documentationSkills" : "Documentation", "continuousLearning" : "Learn new software; Learn new processes", "problemSolvingSkills" : "Troubleshooting; Isolate issues; Track issues; Document issues; Triage issues", "specialRequirements" : "Work in moving vehicle, Work outdoors, Rotating shifts, Travel up to 2 months", "outcomesObjectives" : "Maximize troubleshooting efficiency", "qualificationsBasic" : "At least 21 years of age, At least 5 years of driving experience, Valid U. S. driver's license, Clean driving history, Pass a criminal background check, Pass safety and performance checkpoints", "qualificationsPreferred" : "Familiarity with Linux, Familiarity with Google Suite, Familiarity with Jira, Familiarity with Slack, Familiarity with Git", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "## Responsibilities Monitor and support Autonomous Yard Trucks in real-time during operations Provide troubleshooting technical support for any HW or SW issues that occur on prototype vehicles Review log data of system failures and disengagements of autonomy system Isolate, track, document, and triage issues systematically Update knowledge base and diagnostic trees to maximize troubleshooting efficiency Interact with our customers as an ambassador for ISEE’s technology ## Qualifications At least 21 years of age and at least 5 years of driving experience The ability to operate independently with little or no supervision Excellent written and verbal communication Technical acumen and familiarity with Linux, Google Suite, Jira, Slack, and Git are preferred Strong technical aptitude and ability to quickly learn new software and processes Proven interest and technical capability to work with modern automotive systems Experience in a professional work environment where safety, honesty, procedure, and/or software testing is emphasized Detail-oriented mindset with a focus on safety and procedure Ability to work in close quarters in a professional manner for extended periods of time Must have a valid U. S. driver's license and clean driving history, validated by a regular MVR check Must continually pass safety and performance checkpoints for continued employment Pass a criminal background check Use a laptop in a moving vehicle for up to 10 hours per day Work in outdoor conditions for up to 10 hours per day Able to work on rotating shifts, including nights, weekends, early mornings, and holidays Ability to travel for up to 2 months", "summaryDescription" : "Autonomous Vehicle Operator. Skills: Autonomous vehicle operation, Real-time monitoring, Troubleshooting. Monitor Autonomous Yard Trucks. Support Autonomous Yard Trucks", "postedDate" : "2026-06-12T13:41:56.084", "createdAt" : "2026-06-12T13:41:56.084", "lastUpdated" : "2026-06-16T00:57:30.909", "ingestTimestamp" : "2026-06-14T21:37:13.001", "mongoId" : "6a2c783674d8ee00a093e5b9", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 115000, "salaryAnnualMax" : 165000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Troubleshooting", "Log data review", "System failure analysis", "Disengagement analysis", "Diagnostic tree updates", "Independent operation", "Autonomous vehicle operation", "Real-time monitoring", "Technical acumen", "Technical aptitude", "Autonomous vehicle systems", "Automotive systems", "Valid U. S. driver's license", "Google Suite", "Jira", "Slack", "Git" ], "skillCount" : 17, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "daysOld" : 3, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.92 }, { "id" : "6a191e7758b93c861e39f860", "title" : "Section Lead, Autonomous Driving Toolchain & Platform", "company" : "Mercedes-Benz Group China Ltd.", "industry" : "Technology", "salary" : { "min" : 650000.0, "max" : 1000000.0, "currency" : "CNY", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Lead Section Lead in Autonomous Driving Toolchain & Platform in Beijing, China, adjusted for industry and company size." }, "location" : "China (Mainland)-Beijing-Beijing", "locations" : [ "China (Mainland)-Beijing-Beijing", "Daimler Tower 8, Wangjing Street Chaoyang District, , Beijing" ], "timestamp" : "2026-06-15T10:00:41.603", "fingerprint" : "feb8eaf8d87d096e3631c8d2214ab92eb45c1051adc0580d5aee7e13aa8768b4", "source" : "taleo", "language" : "en", "applyUrl" : "https://tas-daimler.taleo.net/careersection/ex/jobdetail.ftl?job=876833", "externalId" : "876833", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Beijing", "state" : "Beijing", "country" : "China", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "39.9011168,116.4210134" } ], "locationText" : "Beijing, Beijing, China", "experienceMinYears" : 5, "experienceMaxYears" : 15, "experienceLevel" : "Lead", "technicalSkills" : "C, C++, Java, JavaScript, Python, Machine Learning, Artificial Intelligence, Gen AI, Cloud computing, Microservices", "professionalSkills" : [ "IT solutions delivery", "Supplier management", "Project management", "Team management", "People management", "Budget control", "Resource planning" ], "hardSkillsList" : [ "Data mining", "Algorithm transplanting", "Software engineering" ], "softSkillsList" : [ "Leadership", "Mentoring", "Conflict management" ], "hardSkills" : [ { "name" : "Data mining", "level" : "intermediate" }, { "name" : "Algorithm transplanting", "level" : "intermediate" }, { "name" : "Software engineering", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" }, { "name" : "Conflict management" } ], "majorSkills" : "Autonomous Driving, Toolchain & Platform, DevOps, Cloud-based platform", "majorSkillsList" : [ "Autonomous Driving", "Toolchain & Platform", "DevOps", "Cloud-based platform" ], "coreResponsibilities" : "Lead Autonomous Driving Toolchain & Platform section, Deliver IT solutions on Automated Driving System area, Enable ADAS/AD development and testing, Design cloud-based solutions, Deliver micro-service-oriented solutions, Deliver partner agnostic solutions, Deliver data driven solutions, Observe markets and competitors, Identify development potentials, Ensure system competitiveness, Cooperate with local and global IT, Act as bridge between Germany and local RD, Establish cooperation model with customers, Gear up communication process, Provide analyses to customers, Provide recommendations to customers, Provide presentation to customers, Provide demonstration to customers, Provide advice to customers, Drive team transformation, Build up internal development competence, Ramp up ADAS knowledge, Ramp up interior sensing knowledge, Ramp up vital sensing knowledge, Incubate system development competency, Offer feedback for team members, Provide guidance to team members, Provide coaching to team members, Report team member performance, Report team member progression, Report team member training needs, Report team member disciplinary issues, Follow up on employee surveys, Manage team building topics, Create environment with trust, Create environment with respect, Create environment with belonging, Deliver ADAS dev-test platform maintenance, Support new dev-test platform development, Manage new dev-test platform projects, Enhance local development competence, Bring transparency to team, Breakdown company strategy to employees, Define team mission, Define team initiatives, Define team tasks, Achieve department OKR, Setup team regular communication, Setup team shop floor meeting, Support team member development plans, Guide team members for decision making, Monitor team performance, Ensure quality of team delivery, Facilitate resource planning, Facilitate budget control, Support China local side for global strategy, Realize needed actions in China, Bring RD China consideration back to HQ, Communicate with CoC partners, Bring impact to Germany from China, Introduce central application to local needs, Bridge local business units with HQ, Coordinate with other IT departments, Drive co-creative innovation, Share IT knowledge, Share business process, Lead IT RD owned topics, Continuously update IT knowledge, Continuously update RD business process knowledge, Ensure IT RD security, Ensure IT RD governance, Follow standard company compliance, Support IT security guidelines, Ensure processes are compliance, Provide Audit support", "teamCollaboration" : "Local and global IT; RD stakeholders; Central competence Germany; Local RD business partners; Core customers; MB RD China; Other related IT departments", "projectManagementSkills" : [ "Agile", "SAFe", "Project management" ], "domainKnowledge" : "Autonomous Driving; ADAS; Automated Driving System; Data-driven development; Micro-service-oriented; Partner agnostic; Automotive-grade chips; Data closed-loop system; Data mining; Data labeling; Model training; Model deployment; Machine Learning; Data; Artificial Intelligence; AI/Gen AI model; AD/ADAS security; Data compliance; Software engineering principles; Software development lifecycle; IT RD security; Company compliance", "domainList" : [ "autonomous-driving", "adas", "automated-driving-system", "data-driven-development", "micro-service-oriented", "partner-agnostic", "automotive-grade-chips", "data-closed-loop-system", "data-mining", "data-labeling", "model-training", "model-deployment", "machine-learning", "data", "artificial-intelligence", "ai-gen-ai-model", "ad-adas-security", "data-compliance", "software-engineering-principles", "software-development-lifecycle", "it-rd-security", "company-compliance" ], "domainSpecificKnowledge" : [ "Autonomous Driving", "ADAS", "Automated Driving System", "Data-driven development", "Micro-service-oriented", "Partner agnostic", "Automotive-grade chips", "Data closed-loop system", "Data mining", "Data labeling", "Model training", "Model deployment", "Machine Learning", "Data", "Artificial Intelligence", "AI/Gen AI model", "AD/ADAS security", "Data compliance", "Software engineering principles", "Software development lifecycle", "IT RD security", "Company compliance" ], "toolProficiency" : [ "BEV perception", "DriveGPT", "Orin", "Xavier", "TI TDA4" ], "communicationSkills" : "Analyses; Recommendations; Presentation; Demonstration; Advice; Fluent English; Fluent Chinese", "continuousLearning" : "Keep learning; Continuously updating knowledge", "innovationCreativity" : "Co-creative innovation", "problemSolvingSkills" : "Conflict management", "outcomesObjectives" : "Enable ADAS/AD development and testing; Ensure competitiveness of MB systems; Improve engagement from beginning phase; Ensure team members best delivery; Achieve department OKR; Make sure quality of team delivery; Bring impact to Germany from China; Create value for company", "qualificationsBasic" : "5+ years auto-driving backend platform experience, 5+ years coding experience, Bachelor degree or above", "qualificationsPreferred" : "German is bonus point", "remoteFriendly" : false, "rawDescription" : "Objective of job • Lead “Autonomous Driving Toolchain & Platform” section. Be responsible for IT solutions delivery on Automated Driving System area, enabling ADAS/AD development and testing etc., good understanding of MB company strategies and be able to breakdown the strategy from department level to employees, promote lean-agile mindsets on team level, always keep IT RD security and company compliance in mind. • Delivery: Focus on our business partner’s requirements based on Product Orientation, design and deliver cloud-based, micro-service-oriented, partner agnostic, data driven development and testing solutions together with RD partner. Observe the Chinese and global markets and competitors, identify development potentials and ensure competitiveness of MB systems. • Communication & Cooperation: Good cooperation with local and global IT, RD stakeholders. Acting as a bridge between central of competence from Germany and local RD business partners, bring transparency to both sides and improve engagement from the beginning phase. Establish reliable and aligned cooperation model with core customers and gear up the communication process. Acting as a key window facing client, focusing on providing analyses, recommendations, presentation, demonstration, and advice to customers. • Team Management: Assist supervisor to drive team transformation, build up internal development competence, ramp up ADAS, interior sensing and vital sensing knowledges, incubate in depth system development competency. • People Management: As section lead, offer professional and constructive feedback for team members development, provide guidance and coaching to ensure the team members best delivery, report to supervisor on team member’s performance, progression, training needs and disciplinary issues, assist supervisor on section team employee survey follow-ups and team building topics, create and maintain an environment with trust, respect, and a sense of belonging among team members. Job designation • Autonomous Driving Enablement solutions delivery -Previous ADAS dev-test platform maintenance. -New dev-test platform development support and knowledge ramp up. -New dev-test platform project management and delivery together with MB RD China. -Support, drive and enhance local development competence to delivery best AD services with MB RD China business partner. • Section team management -Bring transparency to the team, and breakdown company strategy and management request to employees, and define team mission, initiatives, and tasks accordingly. -Together with team members achieve department OKR. -Setup and maintain team regular communication and shop floor meeting. -Support team member individual development plan. -Engage and guide team members for decision making. -Monitor team performance and make sure the quality of team delivery. -Facilitate resource planning and budget control. • Be involved in CoC HQ strategy and regular communication from management level. -Support from China local side as global RD and IT strategy required. -Understand and breakdown the strategy from HQ and realize the needed actions in China. -Bring RD China’s consideration back to the HQ for being involved in every beginning phase. -Close communicate with CoC partners for shared RD IT solution for Germany and China. -Based on IT RD strategy bring the impact to Germany from China. -Be aware of central RD methodologies, concepts, and toolchains, introduce central application to meet local needs and bridge local business units with HQ for customization. • Cross business cooperation within MBGC IT departments -Coordinate and cooperate with other related IT departments. -Drive co-creative innovation to create value for our company in IT area. -Share IT knowledge and business process for IT solution integration. -Be responsible for leading IT RD owned topics and cooperate with other departments. -Keep learning and continuously updating knowledge on IT technology, RD business process. • Ensure IT RD security and governance based on China CCSL and company requirements. Follow standard company compliance requirements. -Follow, support and ensure all demands meet the IT security guidelines -Ensuring processes are compliance and provide Audit support. Qualification •Education: -Bachelor degree or above at Computer Science, Intelligent Science, EE, Information Engineering related majors. •Experience: -5+ years auto-driving backend platform experience with focus on data-driven development in the field of AD/ADAS for series passenger car projects. Familiar with the application of large models (such as BEV perception, DriveGPT) in autonomous driving; Experience in transplanting algorithms for automotive-grade chips (Orin/Xavier, TI TDA4); Participated in the construction of an autonomous driving data closed-loop system and is familiar with the entire process of data mining-labeling-training-deployment. -5+ years coding experience on AD/ADAS areas, familiar with C, C++, Java, Java script, Python etc. -Deep understanding about global & local competitor’s AD/ADAS solutions and toolchain, system & function release process and relevant China local & international suppliers. -Familiar with the application of large models (such as BEV perception, DriveGPT) in autonomous driving, experience in transplanting algorithms for automotive-grade chips (Orin/Xavier, TI TDA4), participated in the construction of an autonomous driving data closed-loop system and is familiar with the entire process of data mining-labeling-training-deployment. -Experience on cloud computing, cloud-based platform architectures, CI/CD and DevOps. -Deep understanding and experience on Machine Learning, Data, Artificial Intelligence, AI/Gen AI model. -Familiar with AD/ADAS related security and data compliance. -Solid SW engineering experience, proficient in software engineering principles, software development lifecycle, project management, supplier management. -Good knowledge of Agile, SAFe, ASPICE. -Strong self-motivation, team motivation ability. -Strong ownership, result driven, willing to win. -Big picture thinking and good insight. -Excellent cross-functional communication, coordination, and conflict management skills. -Fluent in English and Chinese, German is bonus point. Mercedes-Benz Group China Ltd.", "summaryDescription" : "Section Lead, Autonomous Driving Toolchain & Platform at Mercedes-Benz Group China Ltd.. Skills: Autonomous Driving, Toolchain & Platform, DevOps, Cloud-based platform. Lead Autonomous Driving Toolchain & Platform section. Deliver IT solutions on Automated Driving System area", "createdAt" : "2026-06-14T08:44:26.677", "lastUpdated" : "2026-06-15T10:00:41.603", "ingestTimestamp" : "2026-06-14T08:44:26.677", "mongoId" : "6a191e7758b93c861e39f860", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Data mining", "Algorithm transplanting", "Software engineering", "Leadership", "Mentoring", "Conflict management", "Autonomous Driving", "Toolchain & Platform", "DevOps", "Cloud-based platform", "IT solutions delivery", "Supplier management", "Project management", "Team management", "People management", "Budget control", "Resource planning", "Agile", "SAFe", "ADAS", "Automated Driving System", "Data-driven development", "Micro-service-oriented", "Partner agnostic", "Automotive-grade chips", "Data closed-loop system", "Data labeling", "Model training", "Model deployment", "Machine Learning", "Data", "Artificial Intelligence", "AI/Gen AI model", "AD/ADAS security", "Data compliance", "Software engineering principles", "Software development lifecycle", "IT RD security", "Company compliance", "BEV perception", "DriveGPT", "Orin", "Xavier", "TI TDA4" ], "skillCount" : 44, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Lead", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "69ce5e3b9bc74574cb677b0f", "title" : "Section Lead, Autonomous Driving Toolchain & Platform", "company" : "Mercedes-Benz Group China Ltd.", "industry" : "Technology", "salary" : { "min" : 750000.0, "max" : 1200000.0, "currency" : "CNY", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Lead Section Lead in Autonomous Driving Toolchain & Platform in Beijing, China, adjusted for industry and company size." }, "location" : "China (Mainland)-Beijing-Beijing", "locations" : [ "China (Mainland)-Beijing-Beijing", "Daimler Tower 8, Wangjing Street Chaoyang District, , Beijing" ], "timestamp" : "2026-06-15T08:44:56.414", "fingerprint" : "40e6bf914074d3a1f83f99a9ef91470180e6aa8ee894b85198cb8afbc2230da4", "source" : "taleo", "language" : "en", "applyUrl" : "https://daimler.taleo.net/careersection/ex/jobdetail.ftl?job=876833", "externalId" : "876833", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Beijing", "state" : "Beijing", "country" : "China", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "39.9011168,116.4210134" } ], "locationText" : "Beijing, Beijing, China", "experienceMinYears" : 5, "experienceMaxYears" : 15, "experienceLevel" : "Lead", "technicalSkills" : "C, C++, Java, Java script, Python, Machine Learning, Data, Artificial Intelligence, Gen AI model, Cloud computing, Cloud-based platform architectures, CI/CD, DevOps", "professionalSkills" : [ "Supplier management", "Project management" ], "hardSkillsList" : [ "Software engineering principles", "Software development lifecycle" ], "softSkillsList" : [ "Leadership", "Conflict management" ], "hardSkills" : [ { "name" : "Software engineering principles", "level" : "intermediate" }, { "name" : "Software development lifecycle", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Conflict management" } ], "majorSkills" : "Autonomous Driving, Toolchain, Platform", "majorSkillsList" : [ "Autonomous Driving", "Toolchain", "Platform" ], "coreResponsibilities" : "Lead Autonomous Driving Toolchain & Platform section, Deliver IT solutions on Automated Driving System area, Enable ADAS/AD development and testing, Design cloud-based solutions, Deliver micro-service-oriented solutions, Deliver partner agnostic solutions, Deliver data driven solutions, Observe markets and competitors, Identify development potentials, Ensure competitiveness of MB systems, Cooperate with local and global IT, Cooperate with RD stakeholders, Act as bridge between Germany CoC, Act as bridge to local RD business partners, Bring transparency to both sides, Improve engagement from beginning phase, Establish cooperation model with core customers, Gear up communication process, Provide analyses to customers, Provide recommendations to customers, Provide presentation to customers, Provide demonstration to customers, Provide advice to customers, Drive team transformation, Build up internal development competence, Ramp up ADAS knowledges, Ramp up interior sensing knowledges, Ramp up vital sensing knowledges, Incubate system development competency, Offer feedback for team members development, Provide guidance to team members, Provide coaching to team members, Ensure team members best delivery, Report team member performance, Report team member progression, Report team member training needs, Report team member disciplinary issues, Follow up on employee surveys, Manage team building topics, Create environment with trust, Create environment with respect, Create environment with belonging, Maintain dev-test platform, Support new dev-test platform development, Manage new dev-test platform projects, Enhance local development competence, Deliver best AD services, Breakdown company strategy to employees, Define team mission, Define team initiatives, Define team tasks, Achieve department OKR, Setup team regular communication, Setup team shop floor meeting, Support team member individual development, Guide team members for decision making, Monitor team performance, Ensure quality of team delivery, Facilitate resource planning, Facilitate budget control, Participate in CoC HQ strategy, Communicate with management level, Support global RD and IT strategy, Breakdown HQ strategy, Realize needed actions in China, Bring RD China consideration back to HQ, Communicate with CoC partners, Share RD IT solution, Bring impact to Germany from China, Be aware of central RD methodologies, Be aware of central RD concepts, Be aware of central RD toolchains, Introduce central application, Bridge local business units with HQ, Coordinate with other IT departments, Drive co-creative innovation, Share IT knowledge, Share business process, Lead IT RD owned topics, Keep learning IT technology, Update knowledge on IT technology, Update knowledge on RD business process, Ensure IT RD security, Ensure IT RD governance, Follow standard company compliance, Support IT security guidelines, Ensure demands meet IT security guidelines, Ensure processes are compliance, Provide Audit support", "teamCollaboration" : "Local and global IT; RD stakeholders; Germany CoC; Local RD business partners; Core customers; MBGC IT departments", "projectManagementSkills" : [ "Agile", "SAFe", "Project management" ], "domainKnowledge" : "Autonomous Driving; ADAS; Data mining; Algorithm transplanting; Automotive-grade chips; Data closed-loop system; BEV perception; DriveGPT; AD/ADAS solutions; AD/ADAS toolchain; System release process; Function release process; China local suppliers; International suppliers; Machine Learning; Data; Artificial Intelligence; AI/Gen AI model; AD/ADAS security; Data compliance; IT RD security; Company compliance; China CCSL", "domainList" : [ "autonomous-driving", "adas", "data-mining", "algorithm-transplanting", "automotive-grade-chips", "data-closed-loop-system", "bev-perception", "drivegpt", "ad-adas-solutions", "ad-adas-toolchain", "system-release-process", "function-release-process", "china-local-suppliers", "international-suppliers", "machine-learning", "data", "artificial-intelligence", "ai-gen-ai-model", "ad-adas-security", "data-compliance", "it-rd-security", "company-compliance", "china-ccsl" ], "domainSpecificKnowledge" : [ "Autonomous Driving", "ADAS", "Data mining", "Algorithm transplanting", "Automotive-grade chips", "Data closed-loop system", "BEV perception", "DriveGPT", "AD/ADAS solutions", "AD/ADAS toolchain", "System release process", "Function release process", "China local suppliers", "International suppliers", "Machine Learning", "Data", "Artificial Intelligence", "AI/Gen AI model", "AD/ADAS security", "Data compliance", "IT RD security", "Company compliance", "China CCSL" ], "toolProficiency" : [ "Orin", "Xavier", "TI TDA4" ], "communicationSkills" : "Analyses; Recommendations; Presentation; Demonstration; Advice", "continuousLearning" : "Keep learning; Continuously updating knowledge", "innovationCreativity" : "Co-creative innovation", "qualificationsBasic" : "5+ years auto-driving backend platform experience, 5+ years coding experience on AD/ADAS areas, Bachelor degree or above", "qualificationsPreferred" : "German is bonus point", "remoteFriendly" : false, "rawDescription" : "Objective of job • Lead “Autonomous Driving Toolchain & Platform” section. Be responsible for IT solutions delivery on Automated Driving System area, enabling ADAS/AD development and testing etc., good understanding of MB company strategies and be able to breakdown the strategy from department level to employees, promote lean-agile mindsets on team level, always keep IT RD security and company compliance in mind. • Delivery: Focus on our business partner’s requirements based on Product Orientation, design and deliver cloud-based, micro-service-oriented, partner agnostic, data driven development and testing solutions together with RD partner. Observe the Chinese and global markets and competitors, identify development potentials and ensure competitiveness of MB systems. • Communication & Cooperation: Good cooperation with local and global IT, RD stakeholders. Acting as a bridge between central of competence from Germany and local RD business partners, bring transparency to both sides and improve engagement from the beginning phase. Establish reliable and aligned cooperation model with core customers and gear up the communication process. Acting as a key window facing client, focusing on providing analyses, recommendations, presentation, demonstration, and advice to customers. • Team Management: Assist supervisor to drive team transformation, build up internal development competence, ramp up ADAS, interior sensing and vital sensing knowledges, incubate in depth system development competency. • People Management: As section lead, offer professional and constructive feedback for team members development, provide guidance and coaching to ensure the team members best delivery, report to supervisor on team member’s performance, progression, training needs and disciplinary issues, assist supervisor on section team employee survey follow-ups and team building topics, create and maintain an environment with trust, respect, and a sense of belonging among team members. Job designation • Autonomous Driving Enablement solutions delivery -Previous ADAS dev-test platform maintenance. -New dev-test platform development support and knowledge ramp up. -New dev-test platform project management and delivery together with MB RD China. -Support, drive and enhance local development competence to delivery best AD services with MB RD China business partner. • Section team management -Bring transparency to the team, and breakdown company strategy and management request to employees, and define team mission, initiatives, and tasks accordingly. -Together with team members achieve department OKR. -Setup and maintain team regular communication and shop floor meeting. -Support team member individual development plan. -Engage and guide team members for decision making. -Monitor team performance and make sure the quality of team delivery. -Facilitate resource planning and budget control. • Be involved in CoC HQ strategy and regular communication from management level. -Support from China local side as global RD and IT strategy required. -Understand and breakdown the strategy from HQ and realize the needed actions in China. -Bring RD China’s consideration back to the HQ for being involved in every beginning phase. -Close communicate with CoC partners for shared RD IT solution for Germany and China. -Based on IT RD strategy bring the impact to Germany from China. -Be aware of central RD methodologies, concepts, and toolchains, introduce central application to meet local needs and bridge local business units with HQ for customization. • Cross business cooperation within MBGC IT departments -Coordinate and cooperate with other related IT departments. -Drive co-creative innovation to create value for our company in IT area. -Share IT knowledge and business process for IT solution integration. -Be responsible for leading IT RD owned topics and cooperate with other departments. -Keep learning and continuously updating knowledge on IT technology, RD business process. • Ensure IT RD security and governance based on China CCSL and company requirements. Follow standard company compliance requirements. -Follow, support and ensure all demands meet the IT security guidelines -Ensuring processes are compliance and provide Audit support. Qualification •Education: -Bachelor degree or above at Computer Science, Intelligent Science, EE, Information Engineering related majors. •Experience: -5+ years auto-driving backend platform experience with focus on data-driven development in the field of AD/ADAS for series passenger car projects. Familiar with the application of large models (such as BEV perception, DriveGPT) in autonomous driving; Experience in transplanting algorithms for automotive-grade chips (Orin/Xavier, TI TDA4); Participated in the construction of an autonomous driving data closed-loop system and is familiar with the entire process of data mining-labeling-training-deployment. -5+ years coding experience on AD/ADAS areas, familiar with C, C++, Java, Java script, Python etc. -Deep understanding about global & local competitor’s AD/ADAS solutions and toolchain, system & function release process and relevant China local & international suppliers. -Familiar with the application of large models (such as BEV perception, DriveGPT) in autonomous driving, experience in transplanting algorithms for automotive-grade chips (Orin/Xavier, TI TDA4), participated in the construction of an autonomous driving data closed-loop system and is familiar with the entire process of data mining-labeling-training-deployment. -Experience on cloud computing, cloud-based platform architectures, CI/CD and DevOps. -Deep understanding and experience on Machine Learning, Data, Artificial Intelligence, AI/Gen AI model. -Familiar with AD/ADAS related security and data compliance. -Solid SW engineering experience, proficient in software engineering principles, software development lifecycle, project management, supplier management. -Good knowledge of Agile, SAFe, ASPICE. -Strong self-motivation, team motivation ability. -Strong ownership, result driven, willing to win. -Big picture thinking and good insight. -Excellent cross-functional communication, coordination, and conflict management skills. -Fluent in English and Chinese, German is bonus point. Mercedes-Benz Group China Ltd.", "summaryDescription" : "Section Lead, Autonomous Driving Toolchain & Platform at Mercedes-Benz Group China Ltd.. Skills: Autonomous Driving, Toolchain, Platform. Lead Autonomous Driving Toolchain & Platform section. 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- We are building the first super app to manage car ownership—an industry where the experience is stuck in the 90s. - Lead a strategic area leveraging LLMs, agents, and internal APIs to automate a fragmented, $2T market. - Work with partners at OpenAI to integrate Jerry.ai http://Jerry.ai services directly into the ChatGPT App and pioneer new model capabilities. LEAD THE AI REVOLUTION FOR JERRY.AI http://Jerry.ai: At Jerry.ai http://Jerry.ai, we are moving past fragmented, time-consuming processes to create a seamless, automated platform. You will sit at the intersection of product, engineering, and applied AI as you build and scale a sophisticated system that already automates >70% of inbound sales and service requests (over 50k chats per month). Your role will include shaping how modern LLM systems, human-in-the-loop feedback, and computer-use agents redefine an entire industry. HOW YOU WILL MAKE AN IMPACT: - Lead end-to-end development for our AI platform and customer experiences, from initial roadmap to rollout. - Partner with engineers to design prompt strategies, evaluation frameworks, and guardrails—balancing latency, cost, and accuracy. - Serve as the technical translator between engineering and the broader organization, establishing AI best practices and platform standards. - Drive systematic improvement in answer quality, customer satisfaction, and automation rates through rigorous experimentation. - Work with partners at OpenAI to evaluate and deploy the next generation of voice models and workflow automation. WHAT WE’RE LOOKING FOR IN A BUILDER: - Intrinsically Motivated Technologist: You live and breathe AI. You read the release notes when a new model drops and you’ve already built your own custom workflows. - Systems Thinker: You are comfortable diving into technical conversations about API design and system architecture, translating complex concepts for any audience. - Optimistic Problem-Solver: You are a \"how can we\" thinker who seeks constant improvement and thrives on owning high-impact metrics. - Data-Driven with Conviction: You are familiar with SQL and comfortable diving into the data to answer your own questions and validate hypotheses. IDEAL PROFILE: - 4+ years of experience in management consulting or technical product management at a fast-paced startup. - Proven interest in modern LLM systems. - Ability to navigate technical tradeoffs and lead by example when implementing AI platform standards. - A track record of taking complex, strategic ideas and turning them into scalable, production-grade products. While we appreciate your interest and application, only applicants under consideration will be contacted. Jerry.ai is proud to be an Equal Employment Opportunity employer. We prohibit discrimination based on race, religion, color, national origin, sex, pregnancy, reproductive health decisions or related medical conditions, sexual orientation, gender identity, gender expression, age, veteran status, disability, genetic information, or other characteristics protected by applicable local, state or federal laws. Jerry.ai is committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, please contact us at recruiting@jerry.ai recruiting@getjerry.com The successful candidate’s starting pay will fall within the pay range listed on this job posting, determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Ranges are market-dependent and may be modified in the future. In addition to base salary, the compensation may include opportunities for equity grants. We offer a comprehensive benefits package to regular employees, including health, dental, and vision coverage, paid time off, paid parental leave, 401(K) plan with employer matching, and wellness benefits, among others. Equity opportunities may also be part of your total rewards package. Part-time, contract, or freelance roles may not be eligible for certain benefits. About Jerry.ai Jerry.ai is America’s first and only super app to radically simplify car ownership. We are redefining how people manage owning a car, one of their most expensive and time-consuming assets. Backed by artificial intelligence and machine learning, Jerry.ai simplifies and automates owning and maintaining a car while providing personalized services for all car owners' needs. We spend every day innovating and improving our AI-powered app to provide the best possible experience for our customers. From car insurance and financing to maintenance and safety, Jerry.ai does it all. We are the #1 rated and most downloaded app in our category with a 4.7 star rating in the App Store. We have more than 5 million customers — and we’re just getting started. Jerry.ai was founded in 2017 by serial entrepreneurs and has raised more than $240 million in financing. Join our team and work with passionate, curious and egoless people who love solving real-world problems. 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LEAD THE AI REVOLUTION FOR JERRY.AI http://Jerry.ai: At Jerry.ai http://Jerry.ai, we are moving past fragmented, time-consuming processes to create a seamless, automated platform. You will sit at the intersection of product, engineering, and applied AI as you build and scale a sophisticated system that already automates >70% of inbound sales and service requests (over 50k chats per month). Your role will include shaping how modern LLM systems, human-in-the-loop feedback, and computer-use agents redefine an entire industry. HOW YOU WILL MAKE AN IMPACT: - Lead end-to-end development for our AI platform and customer experiences, from initial roadmap to rollout. - Partner with engineers to design prompt strategies, evaluation frameworks, and guardrails—balancing latency, cost, and accuracy. - Serve as the technical translator between engineering and the broader organization, establishing AI best practices and platform standards. - Drive systematic improvement in answer quality, customer satisfaction, and automation rates through rigorous experimentation. - Work with partners at OpenAI to evaluate and deploy the next generation of voice models and workflow automation. WHAT WE’RE LOOKING FOR IN A BUILDER: - Intrinsically Motivated Technologist: You live and breathe AI. You read the release notes when a new model drops and you’ve already built your own custom workflows. - Systems Thinker: You are comfortable diving into technical conversations about API design and system architecture, translating complex concepts for any audience. - Optimistic Problem-Solver: You are a \"how can we\" thinker who seeks constant improvement and thrives on owning high-impact metrics. - Data-Driven with Conviction: You are familiar with SQL and comfortable diving into the data to answer your own questions and validate hypotheses. IDEAL PROFILE: - 4+ years of experience in management consulting or technical product management at a fast-paced startup. - Proven interest in modern LLM systems. - Ability to navigate technical tradeoffs and lead by example when implementing AI platform standards. - A track record of taking complex, strategic ideas and turning them into scalable, production-grade products. While we appreciate your interest and application, only applicants under consideration will be contacted. Jerry.ai is proud to be an Equal Employment Opportunity employer. We prohibit discrimination based on race, religion, color, national origin, sex, pregnancy, reproductive health decisions or related medical conditions, sexual orientation, gender identity, gender expression, age, veteran status, disability, genetic information, or other characteristics protected by applicable local, state or federal laws. Jerry.ai is committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, please contact us at recruiting@jerry.ai recruiting@getjerry.com The successful candidate’s starting pay will fall within the pay range listed on this job posting, determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Ranges are market-dependent and may be modified in the future. In addition to base salary, the compensation may include opportunities for equity grants. We offer a comprehensive benefits package to regular employees, including health, dental, and vision coverage, paid time off, paid parental leave, 401(K) plan with employer matching, and wellness benefits, among others. Equity opportunities may also be part of your total rewards package. Part-time, contract, or freelance roles may not be eligible for certain benefits. About Jerry.ai Jerry.ai is America’s first and only super app to radically simplify car ownership. We are redefining how people manage owning a car, one of their most expensive and time-consuming assets. Backed by artificial intelligence and machine learning, Jerry.ai simplifies and automates owning and maintaining a car while providing personalized services for all car owners' needs. We spend every day innovating and improving our AI-powered app to provide the best possible experience for our customers. From car insurance and financing to maintenance and safety, Jerry.ai does it all. We are the #1 rated and most downloaded app in our category with a 4.7 star rating in the App Store. We have more than 5 million customers — and we’re just getting started. Jerry.ai was founded in 2017 by serial entrepreneurs and has raised more than $240 million in financing. Join our team and work with passionate, curious and egoless people who love solving real-world problems. 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This role involves monitoring vehicle performance, following assigned routes, and documenting observations accurately. It requires precise execution of test procedures, adherence to strict safety standards, and active participation in data collection processes for advanced automotive systems. ## Key Responsibilities Safely operate and monitor autonomous vehicles Take control of the vehicle when required Follow routes, test plans, and shift schedules Observe road conditions and vehicle behavior Record incidents and provide clear reports Use smartphones, in-vehicle systems, and digital tools Maintain a safety-first and professional approach ## Requirements EU citizenship Valid driver’s license with a clean driving record Willingness and ability to travel to the United States for training (visa provided) Good command of English Willing to work rotating shifts (including evenings/weekends) Comfortable with long periods of driving and focus Basic digital skills (smartphones, Google Workspace, etc.) Strong attention to detail and safe driving habits ## Preferred Qualifications Experience in autonomous vehicle or advanced driver-assistance system testing Technical understanding of vehicle systems Experience working in structured, process-driven environments ## What We Offer Opportunity to contribute to advanced automotive projects Professional and structured working environment Paid 4-week training (travel & accommodation covered if in the U.S.) Stable, long-term opportunity Ongoing support and training", "summaryDescription" : "Autonomous Vehicle Test Driver. 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LEAD THE AI REVOLUTION FOR JERRY.AI http://Jerry.ai: At Jerry.ai http://Jerry.ai, we are moving past fragmented, time-consuming processes to create a seamless, automated platform. You will sit at the intersection of product, engineering, and applied AI as you build and scale a sophisticated system that already automates >70% of inbound sales and service requests (over 50k chats per month). Your role will include shaping how modern LLM systems, human-in-the-loop feedback, and computer-use agents redefine an entire industry. 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While we appreciate your interest and application, only applicants under consideration will be contacted. Jerry.ai is proud to be an Equal Employment Opportunity employer. We prohibit discrimination based on race, religion, color, national origin, sex, pregnancy, reproductive health decisions or related medical conditions, sexual orientation, gender identity, gender expression, age, veteran status, disability, genetic information, or other characteristics protected by applicable local, state or federal laws. Jerry.ai is committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, please contact us at recruiting@jerry.ai recruiting@getjerry.com The successful candidate’s starting pay will fall within the pay range listed on this job posting, determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Ranges are market-dependent and may be modified in the future. In addition to base salary, the compensation may include opportunities for equity grants. We offer a comprehensive benefits package to regular employees, including health, dental, and vision coverage, paid time off, paid parental leave, 401(K) plan with employer matching, and wellness benefits, among others. Equity opportunities may also be part of your total rewards package. Part-time, contract, or freelance roles may not be eligible for certain benefits. About Jerry.ai Jerry.ai is America’s first and only super app to radically simplify car ownership. 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You read the release notes when a new model drops and you’ve already built your own custom workflows. - Systems Thinker: You are comfortable diving into technical conversations about API design and system architecture, translating complex concepts for any audience. - Optimistic Problem-Solver: You are a \"how can we\" thinker who seeks constant improvement and thrives on owning high-impact metrics. - Data-Driven with Conviction: You are familiar with SQL and comfortable diving into the data to answer your own questions and validate hypotheses. IDEAL PROFILE: - 5+ years of experience in management consulting or technical product management at a fast-paced startup. - Proven interest in modern LLM systems and a desire to work in a regulated production environment. - Ability to navigate technical tradeoffs and lead by example when implementing AI platform standards. - A track record of taking complex, strategic ideas and turning them into scalable, production-grade products. While we appreciate your interest and application, only applicants under consideration will be contacted. Jerry.ai is proud to be an Equal Employment Opportunity employer. We prohibit discrimination based on race, religion, color, national origin, sex, pregnancy, reproductive health decisions or related medical conditions, sexual orientation, gender identity, gender expression, age, veteran status, disability, genetic information, or other characteristics protected by applicable local, state or federal laws. Jerry.ai is committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, please contact us at recruiting@jerry.ai recruiting@getjerry.com The successful candidate’s starting pay will fall within the pay range listed on this job posting, determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Ranges are market-dependent and may be modified in the future. In addition to base salary, the compensation may include opportunities for equity grants. We offer a comprehensive benefits package to regular employees, including health, dental, and vision coverage, paid time off, paid parental leave, 401(K) plan with employer matching, and wellness benefits, among others. Equity opportunities may also be part of your total rewards package. Part-time, contract, or freelance roles may not be eligible for certain benefits. About Jerry.ai Jerry.ai is America’s first and only super app to radically simplify car ownership. We are redefining how people manage owning a car, one of their most expensive and time-consuming assets. Backed by artificial intelligence and machine learning, Jerry.ai simplifies and automates owning and maintaining a car while providing personalized services for all car owners' needs. We spend every day innovating and improving our AI-powered app to provide the best possible experience for our customers. From car insurance and financing to maintenance and safety, Jerry.ai does it all. We are the #1 rated and most downloaded app in our category with a 4.7 star rating in the App Store. We have more than 5 million customers — and we’re just getting started. Jerry.ai was founded in 2017 by serial entrepreneurs and has raised more than $240 million in financing. Join our team and work with passionate, curious and egoless people who love solving real-world problems. 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LEAD THE AI REVOLUTION FOR JERRY.AI http://Jerry.ai: At Jerry.ai http://Jerry.ai, we are moving past fragmented, time-consuming processes to create a seamless, automated platform. You will sit at the intersection of product, engineering, and applied AI as you build and scale a sophisticated system that already automates >70% of inbound sales and service requests (over 50k chats per month). Your role will include shaping how modern LLM systems, human-in-the-loop feedback, and computer-use agents redefine an entire industry. HOW YOU WILL MAKE AN IMPACT: - Lead end-to-end development for our AI platform and customer experiences, from initial roadmap to rollout. - Partner with engineers to design prompt strategies, evaluation frameworks, and guardrails—balancing latency, cost, and accuracy. - Serve as the technical translator between engineering and the broader organization, establishing AI best practices and platform standards. - Drive systematic improvement in answer quality, customer satisfaction, and automation rates through rigorous experimentation. - Work with partners at OpenAI to evaluate and deploy the next generation of voice models and workflow automation. WHAT WE’RE LOOKING FOR IN A BUILDER: - Intrinsically Motivated Technologist: You live and breathe AI. You read the release notes when a new model drops and you’ve already built your own custom workflows. - Systems Thinker: You are comfortable diving into technical conversations about API design and system architecture, translating complex concepts for any audience. - Optimistic Problem-Solver: You are a \"how can we\" thinker who seeks constant improvement and thrives on owning high-impact metrics. - Data-Driven with Conviction: You are familiar with SQL and comfortable diving into the data to answer your own questions and validate hypotheses. IDEAL PROFILE: - 4+ years of experience in management consulting or technical product management at a fast-paced startup. - Proven interest in modern LLM systems. - Ability to navigate technical tradeoffs and lead by example when implementing AI platform standards. - A track record of taking complex, strategic ideas and turning them into scalable, production-grade products. While we appreciate your interest and application, only applicants under consideration will be contacted. Jerry.ai is proud to be an Equal Employment Opportunity employer. We prohibit discrimination based on race, religion, color, national origin, sex, pregnancy, reproductive health decisions or related medical conditions, sexual orientation, gender identity, gender expression, age, veteran status, disability, genetic information, or other characteristics protected by applicable local, state or federal laws. Jerry.ai is committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, please contact us at recruiting@jerry.ai recruiting@getjerry.com The successful candidate’s starting pay will fall within the pay range listed on this job posting, determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Ranges are market-dependent and may be modified in the future. In addition to base salary, the compensation may include opportunities for equity grants. We offer a comprehensive benefits package to regular employees, including health, dental, and vision coverage, paid time off, paid parental leave, 401(K) plan with employer matching, and wellness benefits, among others. Equity opportunities may also be part of your total rewards package. Part-time, contract, or freelance roles may not be eligible for certain benefits. About Jerry.ai Jerry.ai is America’s first and only super app to radically simplify car ownership. We are redefining how people manage owning a car, one of their most expensive and time-consuming assets. Backed by artificial intelligence and machine learning, Jerry.ai simplifies and automates owning and maintaining a car while providing personalized services for all car owners' needs. We spend every day innovating and improving our AI-powered app to provide the best possible experience for our customers. From car insurance and financing to maintenance and safety, Jerry.ai does it all. We are the #1 rated and most downloaded app in our category with a 4.7 star rating in the App Store. We have more than 5 million customers — and we’re just getting started. Jerry.ai was founded in 2017 by serial entrepreneurs and has raised more than $240 million in financing. Join our team and work with passionate, curious and egoless people who love solving real-world problems. Help us build a revolutionary product that’s disrupting a massive market.", "summaryDescription" : "Product Owner, AI Agents and Platform at Jerry. ai. Skills: AI platform, LLM systems, Product strategy. Lead end-to-end development for AI platform. Lead end-to-end development for customer experiences", "createdAt" : "2026-06-16T00:27:18.534", "lastUpdated" : "2026-06-16T09:36:44.085", "ingestTimestamp" : "2026-06-16T00:27:18.534", "mongoId" : "6a305930f292fd229cf45a12", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 160000, "salaryAnnualMax" : 200000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Prompt strategies", "Evaluation frameworks", "Guardrails", "AI platform", "LLM systems", "Product strategy", "System design", "API design", "System architecture", "Roadmap development", "AI agents", "Voice models", "Workflow automation", "Car ownership industry" ], "skillCount" : 14, "jobCategory" : "product", "jobSubcategory" : "product_management", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a305930f292fd229cf45a10", "title" : "Senior Manager, AI Agents and Platform", "company" : "Jerry.ai", "industry" : "Product", "salary" : { "min" : 160000.0, "max" : 200000.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "San Francisco Bay Area", "locations" : [ "San Francisco Bay Area", "New York, New York", "Boston, Massachusetts", "Los Angeles, California", "Atlanta, Georgia", "Chicago, Illinois", "Toronto, Ontario" ], "timestamp" : "2026-06-16T08:37:34.299", "fingerprint" : "b550f5eb63d2b4183dc294c415a93d78bd88bc2aa8cff4dc531de85937b83874", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/Jerry.ai/90040f9c-007f-4b82-8437-15f3578b07f7/application", "externalId" : "90040f9c-007f-4b82-8437-15f3578b07f7", "industryFunction" : { }, "structuredLocations" : [ { "city" : "San Francisco", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.7879363,-122.4075201" } ], "locationText" : "San Francisco, California, United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "technicalSkills" : "LLMs, APIs", "professionalSkills" : [ "System architecture", "API design" ], "hardSkillsList" : [ "Prompt strategies", "Evaluation frameworks", "Answer quality", "Automation rates" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Prompt strategies", "level" : "intermediate" }, { "name" : "Evaluation frameworks", "level" : "intermediate" }, { "name" : "Answer quality", "level" : "intermediate" }, { "name" : "Automation rates", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "AI Agents, LLM systems, Platform standards", "majorSkillsList" : [ "AI Agents", "LLM systems", "Platform standards" ], "coreResponsibilities" : "Lead end-to-end development for AI platform, Lead end-to-end development for customer experiences, Design prompt strategies, Design evaluation frameworks, Design guardrails, Serve as technical translator, Establish AI best practices, Establish platform standards, Drive systematic improvement in answer quality, Drive systematic improvement in customer satisfaction, Drive systematic improvement in automation rates, Work with partners at OpenAI, Evaluate voice models, Deploy voice models, Evaluate workflow automation, Deploy workflow automation", "teamCollaboration" : "Cross-functional teams; Work with partners at OpenAI", "projectManagementSkills" : [ "Roadmap planning" ], "domainKnowledge" : "Car ownership; Regulated production environment; Voice models; Workflow automation", "domainList" : [ "car-ownership", "regulated-production-environment", "voice-models", "workflow-automation" ], "domainSpecificKnowledge" : [ "Car ownership", "Regulated production environment", "Voice models", "Workflow automation" ], "communicationSkills" : "Technical translator", "innovationCreativity" : "Pioneer new model capabilities", "problemSolvingSkills" : "Optimistic Problem-Solver; Data-Driven", "outcomesObjectives" : "Automate >70% of inbound sales; Automate >70% of service requests", "qualificationsBasic" : "5+ years of experience in management consulting, 5+ years of experience in technical product management, Proven interest in modern LLM systems, Ability to navigate technical tradeoffs, Lead by example implementing AI platform standards, Track record of turning complex ideas into scalable products", "qualificationsPreferred" : "Desire to work in a regulated production environment", "remoteFriendly" : true, "rawDescription" : "WHY JERRY.AI http://Jerry.ai? - We are building the first super app to manage car ownership—an industry where the experience is stuck in the 90s. - Lead a strategic area leveraging LLMs, agents, and internal APIs to automate a fragmented, $2T market. - Work with partners at OpenAI to integrate Jerry.ai http://Jerry.ai services directly into the ChatGPT App and pioneer new model capabilities. LEAD THE AI REVOLUTION FOR JERRY.AI http://Jerry.ai: At Jerry.ai http://Jerry.ai, we are moving past fragmented, time-consuming processes to create a seamless, automated platform. You will sit at the intersection of product, engineering, and applied AI as you build and scale a sophisticated system that already automates >70% of inbound sales and service requests (over 50k chats per month). Your role will include shaping how modern LLM systems, human-in-the-loop feedback, and computer-use agents redefine an entire industry. HOW YOU WILL MAKE AN IMPACT: - Lead end-to-end development for our AI platform and customer experiences, from initial roadmap to rollout. - Partner with engineers to design prompt strategies, evaluation frameworks, and guardrails—balancing latency, cost, and accuracy. - Serve as the technical translator between engineering and the broader organization, establishing AI best practices and platform standards. - Drive systematic improvement in answer quality, customer satisfaction, and automation rates through rigorous experimentation. - Work with partners at OpenAI to evaluate and deploy the next generation of voice models and workflow automation. WHAT WE’RE LOOKING FOR IN A BUILDER: - Intrinsically Motivated Technologist: You live and breathe AI. You read the release notes when a new model drops and you’ve already built your own custom workflows. - Systems Thinker: You are comfortable diving into technical conversations about API design and system architecture, translating complex concepts for any audience. - Optimistic Problem-Solver: You are a \"how can we\" thinker who seeks constant improvement and thrives on owning high-impact metrics. - Data-Driven with Conviction: You are familiar with SQL and comfortable diving into the data to answer your own questions and validate hypotheses. IDEAL PROFILE: - 5+ years of experience in management consulting or technical product management at a fast-paced startup. - Proven interest in modern LLM systems and a desire to work in a regulated production environment. - Ability to navigate technical tradeoffs and lead by example when implementing AI platform standards. - A track record of taking complex, strategic ideas and turning them into scalable, production-grade products. While we appreciate your interest and application, only applicants under consideration will be contacted. Jerry.ai is proud to be an Equal Employment Opportunity employer. We prohibit discrimination based on race, religion, color, national origin, sex, pregnancy, reproductive health decisions or related medical conditions, sexual orientation, gender identity, gender expression, age, veteran status, disability, genetic information, or other characteristics protected by applicable local, state or federal laws. Jerry.ai is committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, please contact us at recruiting@jerry.ai recruiting@getjerry.com The successful candidate’s starting pay will fall within the pay range listed on this job posting, determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Ranges are market-dependent and may be modified in the future. In addition to base salary, the compensation may include opportunities for equity grants. We offer a comprehensive benefits package to regular employees, including health, dental, and vision coverage, paid time off, paid parental leave, 401(K) plan with employer matching, and wellness benefits, among others. Equity opportunities may also be part of your total rewards package. Part-time, contract, or freelance roles may not be eligible for certain benefits. About Jerry.ai Jerry.ai is America’s first and only super app to radically simplify car ownership. We are redefining how people manage owning a car, one of their most expensive and time-consuming assets. Backed by artificial intelligence and machine learning, Jerry.ai simplifies and automates owning and maintaining a car while providing personalized services for all car owners' needs. We spend every day innovating and improving our AI-powered app to provide the best possible experience for our customers. From car insurance and financing to maintenance and safety, Jerry.ai does it all. We are the #1 rated and most downloaded app in our category with a 4.7 star rating in the App Store. We have more than 5 million customers — and we’re just getting started. Jerry.ai was founded in 2017 by serial entrepreneurs and has raised more than $240 million in financing. Join our team and work with passionate, curious and egoless people who love solving real-world problems. Help us build a revolutionary product that’s disrupting a massive market.", "summaryDescription" : "Senior Manager, AI Agents and Platform at Jerry.ai. Skills: AI Agents, LLM systems, Platform standards. Lead end-to-end development for AI platform. Lead end-to-end development for customer experiences", "createdAt" : "2026-06-16T00:25:01.743", "lastUpdated" : "2026-06-16T08:37:34.299", "ingestTimestamp" : "2026-06-16T00:25:01.743", "mongoId" : "6a305930f292fd229cf45a10", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 160000, "salaryAnnualMax" : 200000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Prompt strategies", "Evaluation frameworks", "Answer quality", "Automation rates", "Leadership", "AI Agents", "LLM systems", "Platform standards", "System architecture", "API design", "Roadmap planning", "Car ownership", "Regulated production environment", "Voice models", "Workflow automation" ], "skillCount" : 15, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Manager", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a191e7758b93c861e39f727", "title" : "Intern Uncertainty Estimation for End-to-End Autonomous Driving", "company" : "Mercedes-Benz Group AG", "industry" : "Manufacturing", "salary" : { "min" : 15000.0, "max" : 20000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an entry-level internship in the automotive industry in Sindelfingen, Germany, adjusted for company size and industry." }, "location" : "Germany-Baden-Württemberg-Sindelfingen", "locations" : [ "Germany-Baden-Württemberg-Sindelfingen", "Kolumbusstr. 19 21, , Sindelfingen" ], "timestamp" : "2026-06-16T02:28:11.613", "fingerprint" : "6517e1bebd1639b7b0e747d0d0b8a4e771559041ab4bcd526b7c68318f9b48b9", "source" : "taleo", "language" : "en", "applyUrl" : "https://tas-daimler.taleo.net/careersection/ex/jobdetail.ftl?job=892666", "externalId" : "892666", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Sindelfingen", "state" : "Baden-Württemberg", "country" : "Germany", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "48.7084162,9.0035455" } ], "locationText" : "Sindelfingen, Baden-Württemberg, Germany", "employmentType" : "INTERNSHIP", "technicalSkills" : "Python, Deep learning, Neural networks, PyTorch, MMDetection, Linux, LLM, VLM, VLAMs", "professionalSkills" : [ "Uncertainty estimation", "Deep learning methodologies" ], "hardSkillsList" : [ "End-to-end autonomous driving", "Deep learning" ], "hardSkills" : [ { "name" : "End-to-end autonomous driving", "level" : "intermediate" }, { "name" : "Deep learning", "level" : "intermediate" } ], "majorSkills" : "Uncertainty estimation, End-to-end autonomous driving, Deep learning", "majorSkillsList" : [ "Uncertainty estimation", "End-to-end autonomous driving", "Deep learning" ], "coreResponsibilities" : "Conduct literature review, Integrate uncertainty estimation methods, Validate uncertainty estimation methods, Analyze uncertainties, Utilize uncertainties, Evaluate impact on planning, Implement training frameworks, Implement evaluation frameworks, Optimize training frameworks, Optimize evaluation frameworks", "teamCollaboration" : "Research team support", "domainKnowledge" : "Autonomous driving; End-to-end driving; Uncertainty estimation; Deep learning", "domainList" : [ "autonomous-driving", "end-to-end-driving", "uncertainty-estimation", "deep-learning" ], "domainSpecificKnowledge" : [ "Autonomous driving", "End-to-end driving", "Uncertainty estimation", "Deep learning" ], "toolProficiency" : [ "PyTorch", "MMDetection", "Linux", "Docker" ], "problemSolvingSkills" : "Root cause analysis", "qualificationsBasic" : "Master's degree in computer science, Master's degree in robotics, Master's degree in physics, Master's degree in mathematics, Master's degree in electrical engineering, Programming proficiency in Python, Solid foundation deep learning techniques, In-depth understanding deep learning techniques, Familiarity with common software frameworks, Hands-on experience with Linux, Development within Linux environments, Effective communication skills, Effective collaboration skills, Fluency in spoken English, Fluency in written English", "qualificationsPreferred" : "Knowledge of perception, Knowledge of prediction, Knowledge of planning, Knowledge of uncertainty estimation, Publication at deep learning conference, Publication at robotics conference, Hands-on experience with Docker, Familiarity with LLM, Familiarity with VLM, Familiarity with VLAMs", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "The Mercedes-Benz Group AG is one of the most successful automotive companies in the world. Together with Mercedes-Benz AG, the vehicle manufacturer is one of the largest providers of premium and luxury cars and vans. We are committed to shaping the future of automotive mobility by developing highly automated driving systems for both highway and urban areas. To achieve this, we are seeking highly motivated interns to support our research team on the topic of uncertainty estimation for end-to-end (E2E) autonomous driving within our Perception Team in Sindelfingen. E2E autonomous driving models have emerged as a promising paradigm that directly maps sensor inputs to driving decisions. Compared to modular pipelines that separately process perception, prediction and planning, E2E models jointly optimize all stages within a single framework, resulting in simpler architectures and reduced information loss across modules. While architectural innovations have significantly improved model expressiveness and scalability, these systems are still prone to errors when encountering novel scenarios or unfamiliar appearances. To ensure safe decision-making, it is crucial to employ uncertainty estimation to identify potential errors such that they can be mitigated. However, the modeling and utilization of uncertainty along the E2E functional chain remain relatively underexplored. This research gap poses a critical challenge to the safety of autonomous systems in complex real-world environments. Your role will involve investigating advanced uncertainty estimation methods and analyzing their applicability within the context of E2E AD. Additionally, you will aim to integrate these methods into the E2E AD system and analyze the effects of uncertainty on planning, especially in long-tail and rare scenarios. For this, you are expected to survey the state-of-the-art technologies in this domain and leverage advanced deep learning methodologies. These challenges await you: Conducting a comprehensive literature review on the current state-of-the-art methods in E2E driving and advanced uncertainty estimation techniques Integrating and validating suitable uncertainty estimation methods within the E2E driving pipeline Analyzing and utilizing these uncertainties along the E2E functional chain to evaluate their impact on planning tasks, particularly in novel and rare scenarios Implementing and optimizing corresponding training and evaluation frameworks Currently pursuing a master’s degree in computer science, robotics, physics, mathematics, electrical engineering, or adjacent fields Strong programming proficiency in Python Solid foundation and in-depth understanding of deep learning techniques, especially neural networks, and common software frameworks (e.g., PyTorch, MMDetection family) Hands-on experience with Linux and development within Linux environments Effective communication and collaboration skills Fluency in spoken and written English Preferred Qualifications: Knowledge of perception, prediction, planning and uncertainty estimation Publication at a deep learning or robotics conference (including collaborations) Hands-on experience with containerization technologies (e.g., Docker) Familiarity with LLM / VLM / VLAMs Additional Information: We look forward to receiving your online application, including a resume, cover letter, certificates, current certificate of enrollment stating your semester, proof of mandatory internship if applicable, and proof of the standard period of study. Please remember to mark your documents as \"relevant for this application\" in the online form and observe the maximum file size of 5 MB. You can find further information on the hiring criteria here . Severely disabled applicants and applicants with equivalent status are welcome! The representative for severely disabled employees (sbv-sindelfingen@mercedes-benz.com) will gladly support you in the application process. HR Services will be happy to help you with any questions you may have about the application process. You can reach us by email at myhrservice@mercedes-benz.com or by phone at 0711/17-99000 (Mon-Fri 10am-12pm & 1pm-3pm). Mercedes-Benz AG", "summaryDescription" : "Intern Uncertainty Estimation for End-to-End Autonomous Driving at Mercedes-Benz Group AG. Skills: Uncertainty estimation, End-to-end autonomous driving, Deep learning. Conduct literature review. Integrate uncertainty estimation methods", "createdAt" : "2026-06-14T20:43:34.945", "lastUpdated" : "2026-06-16T02:28:11.613", "ingestTimestamp" : "2026-06-14T20:43:34.945", "mongoId" : "6a191e7758b93c861e39f727", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "End-to-end autonomous driving", "Deep learning", "Uncertainty estimation", "Deep learning methodologies", "Autonomous driving", "End-to-end driving", "PyTorch", "MMDetection", "Linux", "Docker" ], "skillCount" : 10, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Entry", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Automotive", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2a715c74d8ee00a06491be", "title" : "Autonomous Vehicle Engineer (Mechanical)", "company" : "Venti Technologies", "industry" : "Engineering", "salary" : { "min" : 72500.0, "max" : 97500.0, "currency" : "SGD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Junior Autonomous Vehicle Engineer in Singapore, adjusted for the technology industry and company size." }, "location" : "Singapore", "locations" : [ "Singapore" ], "timestamp" : "2026-06-13T20:01:36.975", "fingerprint" : "d2e2c92bbbff386f6df67d49ef89b89ca6a4cc44adcf966e668a0dc75653832e", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/GoVenti/96d43f31-445a-474c-913d-e1080586adc6/application", "externalId" : "96d43f31-445a-474c-913d-e1080586adc6", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Singapore", "country" : "Singapore", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "1.2899175,103.8519072" } ], "locationText" : "Singapore, Singapore", "employmentType" : "FULL_TIME", "experienceMinYears" : 2, "technicalSkills" : "SolidWorks", "professionalSkills" : [ "Manufacturing costs", "Cost control", "BOM management" ], "hardSkillsList" : [ "Sheet metal bending", "CNC milling", "3D printing", "Surface modelling", "Electrical integration", "Pneumatic systems" ], "hardSkills" : [ { "name" : "Sheet metal bending", "level" : "intermediate" }, { "name" : "CNC milling", "level" : "intermediate" }, { "name" : "3D printing", "level" : "intermediate" }, { "name" : "Surface modelling", "level" : "intermediate" }, { "name" : "Electrical integration", "level" : "intermediate" }, { "name" : "Pneumatic systems", "level" : "intermediate" } ], "coreResponsibilities" : "Design custom brackets, Design mounts, Design modular sub-assemblies, Integrate mechanical parts, Integrate sensors, Integrate computers, Route wiring, Design data acquisition mechanisms, Validate data mechanisms, Measure physical trucks, Measure machinery, Create CAD models, Create manufacturing drawings, Manage fabrication process, Build prototypes, Test designs, Validate designs, Write assembly instructions, Write maintenance plans, Create Bills of Materials, Track component suppliers", "domainKnowledge" : "Autonomous logistics systems; Deep learning; Autonomy technologies; Logistics algorithms", "domainList" : [ "autonomous-logistics-systems", "deep-learning", "autonomy-technologies", "logistics-algorithms" ], "domainSpecificKnowledge" : [ "Autonomous logistics systems", "Deep learning", "Autonomy technologies", "Logistics algorithms" ], "documentationSkills" : "Manufacturing drawings; Assembly instructions; Maintenance plans", "innovationCreativity" : "Innovators; Tinkerers; Problem-solvers", "problemSolvingSkills" : "Problem-solvers", "qualificationsBasic" : "2 or more years mechanical design engineer, Daily SolidWorks modelling, Sheet metal operations, Surface modelling, Design for CNC machining, Design for sheet metal fabrication, Design for additive manufacturing, Design choices keep production cheap, Build prototypes, Physically validate designs, Create clear technical drawings, Create detailed assembly instructions, Integrate wiring, Integrate sensors, Integrate connectors, Understand pneumatic systems, Manage time, Work on multiple projects", "workSiteFlexibility" : "Onsite", "rawDescription" : "A WORLD EMPOWERED BY AUTONOMY. WE BUILD ROBOTIC VEHICLES TO IMPROVE LOGISTICS SAFETY, FORGE A GREENER EARTH, AND ENHANCE HUMAN LIVES. We are a closely-knit team aspiring to change the world through disruptive technology. We are innovators. We are tinkerers. We are problem-solvers. And we have a fair amount of magic dust up our sleeves. We have a plan for fleet-level deployment of autonomous vehicles, and we are looking for the best-of-the-best to join us in making this a reality. ABOUT VENTI TECHNOLOGIES Based in the U.S. and Asia, Venti Technologies is the leader in safe-speed autonomous logistics systems, developing the future of goods transportation. Using rigorous mathematics, deep learning, and theoretically-grounded algorithms, Venti has a proprietary collection of autonomy technologies including a suite of powerful logistics algorithms. Venti’s proven value proposition of saving costs, increasing vehicle utilization, and improving safety is recognized by customers and driving growth. Launched in 2018, Venti brings together an unsurpassed team internationally. The company has autonomous systems deployed in Asia for industrial and logistics sites and a growing pipeline. Venti has offices in Cambridge (Massachusetts, USA), Suzhou (China), and Singapore – our Asian headquarters. Position overview We are looking for a Mechanical Engineer with at least 2 years of experience to join our team. Your main focus will be designing parts that are ready to be used in heavy-duty autonomous trucks, not just on a screen. You need to be fast and accurate in SolidWorks and genuinely understand how parts get made. We need someone who knows the limits of sheet metal bending, CNC milling, and 3D printing, and uses that knowledge to design parts that keep our manufacturing costs low. You should also have a basic understanding on electrical and pneumatic systems to help integrate our mechanical designs with the rest of the AV system. Key Responsibilities: - Design Sub-Assemblies: Design and develop custom brackets, mounts, and modular sub-assemblies that neatly integrate mechanical parts, measuring mechanisms, sensors, computers, and routing. - Develop Data Mechanisms: Design and validate mechanisms for acquiring real-time data, including wheel encoders, joint positions, and articulated body angles. - Vehicle & Machine Mapping: Measure physical trucks and machinery in person to create accurate CAD models for installing the Venti AV kit. - Sourcing & Vendor Management: Create clear manufacturing drawings, send them out to suppliers for quotes, and manage the fabrication process. - Prototyping & Testing: Build, test, and physically validate your designs to catch and fix issues before they go into full production. - Production Hand-off: Write detailed, step-by-step assembly instructions so the fabrication and integration teams can build your designs without confusion. - Maintenance Planning: Write up clear maintenance plans for your designs to ensure the hardware is easy to service down the road. - BOM Management: Create and manage cross-project Bills of Materials (BOMs) and keep track of component suppliers. Requirements: - Experience: 2 or more years working as a mechanical design engineer or similar - CAD: Strong, daily experience modelling parts in SolidWorks, including specific familiarity with sheet metal operations and surface modelling. - Manufacturing Knowledge: You must know how to design specifically for CNC machining, sheet metal fabrication, and additive manufacturing. - Cost Control: A track record of making smart design choices that keep production simple and cheap. - Hands-on Work: Comfortable getting your hands dirty building prototypes and physically validating your designs. - Technical Drawings: Experienced in creating clear technical drawings for manufacturing and detailed assembly instructions for the production team. - Electrical: A basic understanding of how to integrate wiring, sensors, and connectors into your mechanical designs. - Pneumatics: Knowing your way around valves, cylinders, and air routing. - Comfortable managing your time and working on multiple projects simultaneously. SALARY IS COMMENSURATE WITH EXPERIENCE. WE ALSO OFFER WORLD-CLASS BENEFITS, FANTASTIC CULTURE, FLEXIBLE WORKING ARRANGEMENTS, AND A GREAT INTERNATIONAL WORKING ENVIRONMENT. COME AND JOIN US!", "summaryDescription" : "Autonomous Vehicle Engineer (Mechanical) at Venti Technologies. Design custom brackets. Design mounts", "postedDate" : "2026-06-11T19:23:46.968", "createdAt" : "2026-06-11T19:23:46.968", "lastUpdated" : "2026-06-13T20:01:36.975", "ingestTimestamp" : "2026-06-11T19:23:46.968", "mongoId" : "6a2a715c74d8ee00a06491be", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "Sheet metal bending", "CNC milling", "3D printing", "Surface modelling", "Electrical integration", "Pneumatic systems", "Manufacturing costs", "Cost control", "BOM management", "Autonomous logistics systems", "Deep learning", "Autonomy technologies", "Logistics algorithms" ], "skillCount" : 13, "jobCategory" : "engineering", "jobSubcategory" : "vehicle", "dataQualityScore" : 0.8888889, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Autonomous Vehicle Logistics" }, { "id" : "693c2b8970f0b99d5843fc1e", "title" : "Applied Scientist II, Sponsored Products Autonomous Campaigns", "company" : "Amazon.com Services LLC", "industry" : "Machine Learning Science, Applied Science, Advertising", "salary" : { "min" : 136000.0, "max" : 223400.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "New York, New York, USA", "locations" : [ "New York, New York, USA" ], "timestamp" : "2026-06-15T02:18:40.777", "fingerprint" : "d3273a378e1d18904c73649d6a4e1ddc3a638c1d2346b498b85a05516ec73e2d", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3139270/apply", "externalId" : "05cccbc4-9da9-4552-8915-fb95301b0e42", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7127281,-74.0060152" } ], "locationText" : "New York, New York, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 2, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "Python, Java, C++, AI, ML, LLMs, RL", "professionalSkills" : [ "Agentic architectures", "Autonomous campaigns", "Advertiser workflows", "Model optimization", "Preference optimization", "Evaluation frameworks", "Agent ecosystem", "Tool orchestration", "Multi-step reasoning", "Adaptive behavior" ], "hardSkillsList" : [ "Statistical analysis", "Reinforcement learning", "Preference optimization", "Instruction tuning", "Fine-tuning" ], "hardSkills" : [ { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "Reinforcement learning", "level" : "intermediate" }, { "name" : "Preference optimization", "level" : "intermediate" }, { "name" : "Instruction tuning", "level" : "intermediate" }, { "name" : "Fine-tuning", "level" : "intermediate" } ], "majorSkills" : "Applied AI, Agent-based AI, Autonomous systems", "majorSkillsList" : [ "Applied AI", "Agent-based AI", "Autonomous systems" ], "coreResponsibilities" : "Design agents for autonomous campaigns, Implement model and agent optimization techniques, Curate datasets and tools, Build evaluation pipelines for agent workflows, Develop agentic architectures, Prototype multi-agent orchestration frameworks, Collaborate with peers, Translate research findings into applications", "teamCollaboration" : "Collaborating with scientists; Collaborating with engineers; Collaborating with product managers; Collaborate with peers across engineering; Collaborate with peers across product", "domainKnowledge" : "Advertiser workflows; Agent architectures; Tool integration; Reasoning frameworks; Model customization", "domainList" : [ "advertiser-workflows", "agent-architectures", "tool-integration", "reasoning-frameworks", "model-customization" ], "domainSpecificKnowledge" : [ "Advertiser workflows", "Agent architectures", "Tool integration", "Reasoning frameworks", "Model customization" ], "continuousLearning" : "Stay current with research", "innovationCreativity" : "Pioneer next generation; Innovative solutions", "problemSolvingSkills" : "Ambiguous technical problems", "outcomesObjectives" : "Deliver customer-facing products; Help advertisers create campaigns; Help advertisers optimize campaigns; Help advertisers grow campaigns", "qualificationsBasic" : "Master's degree and 4+ years of CS, CE, ML or related field experience, 3+ years of building models for business application experience, Experience programming in Java, C++, Python or related language, Experience in designing experiments and statistical analysis of results, Experience with AI/ML technologies", "qualificationsPreferred" : "PhD preferred, Experience in state-of-the-art deep learning models architecture design, Deep learning training and optimization experience, Model pruning experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "We are looking for a passionate Applied Scientist to help pioneer the next generation of agentic AI applications for Amazon advertisers. In this role, you will design agentic architectures, develop tools and datasets, and contribute to building systems that can reason, plan, and act autonomously across complex advertiser workflows. You will work at the forefront of applied AI, developing methods for fine-tuning, reinforcement learning, and preference optimization, while helping create evaluation frameworks that ensure safety, reliability, and trust at scale. You will work backwards from the needs of advertisers—delivering customer-facing products that directly help them create, optimize, and grow their campaigns. Beyond building models, you will advance the agent ecosystem by experimenting with and applying core primitives such as tool orchestration, multi-step reasoning, and adaptive preference-driven behavior. This role requires working independently on ambiguous technical problems, collaborating closely with scientists, engineers, and product managers to bring innovative solutions into production. Key job responsibilities - Design and build agents for our autonomous campaigns experience. - Design and implement advanced model and agent optimization techniques, including supervised fine-tuning, instruction tuning and preference optimization (e.g., DPO/IPO). - Curate datasets and tools for MCP. - Build evaluation pipelines for agent workflows, including automated benchmarks, multi-step reasoning tests, and safety guardrails. - Develop agentic architectures (e.g., CoT, ToT, ReAct) that integrate planning, tool use, and long-horizon reasoning. - Prototype and iterate on multi-agent orchestration frameworks and workflows. - Collaborate with peers across engineering and product to bring scientific innovations into production. - Stay current with the latest research in LLMs, RL, and agent-based AI, and translate findings into practical applications. About the team The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through the latest generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond. We are at the forefront of re-inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights. We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace. If you're energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising. The Autonomous Campaigns team within Sponsored Products and Brands is focused on guiding and supporting 1.6MM advertisers to meet their advertising needs of creating and managing ad campaigns. At this scale, the complexity of diverse advertiser goals, campaign types, and market dynamics creates both a massive technical challenge and a transformative opportunity: even small improvements in guidance systems can have outsized impact on advertiser success and Amazon’s retail ecosystem. Our vision is to build a highly personalized, context-aware campaign creation and management system that leverages LLMs together with tools such as auction simulations, ML models, and optimization algorithms. This agentic framework, will operate across both chat and non-chat experiences in the ad console, scaling to natural language queries as well as proactively delivering guidance based on deep understanding of the advertiser. To execute this vision, we collaborate closely with stakeholders across Ad Console, Sales, and Marketing to identify opportunities—from high-level product guidance down to granular keyword recommendations—and deliver them through a tailored, personalized experience. Our work is grounded in state-of-the-art agent architectures, tool integration, reasoning frameworks, and model customization approaches (including tuning, MCP, and preference optimization), ensuring our systems are both scalable and adaptive. Basic Qualifications: - PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience - 3+ years of building models for business application experience - Experience programming in Java, C++, Python or related language - Experience in designing experiments and statistical analysis of results - Experience with AI/ML technologies Preferred Qualifications: - Experience in professional software development - Experience in state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $223,400/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.", "summaryDescription" : "Applied Scientist II, Sponsored Products Autonomous Campaigns at Amazon.com Services LLC. Skills: Applied AI, Agent-based AI, Autonomous systems. Design agents for autonomous campaigns. Implement model and agent optimization techniques", "postedDate" : "2026-06-13T08:09:22.289", "createdAt" : "2026-06-13T08:09:22.289", "lastUpdated" : "2026-06-15T02:18:40.777", "ingestTimestamp" : "2026-06-13T08:09:22.289", "mongoId" : "693c2b8970f0b99d5843fc1e", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3139270/apply", "salaryAnnualMin" : 136000, "salaryAnnualMax" : 223400, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Statistical analysis", "Reinforcement learning", "Preference optimization", "Instruction tuning", "Fine-tuning", "Applied AI", "Agent-based AI", "Autonomous systems", "Agentic architectures", "Autonomous campaigns", "Advertiser workflows", "Model optimization", "Evaluation frameworks", "Agent ecosystem", "Tool orchestration", "Multi-step reasoning", "Adaptive behavior", "Agent architectures", "Tool integration", "Reasoning frameworks", "Model customization" ], "skillCount" : 21, "jobCategory" : "data", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a305098f292fd229cef28d3", "title" : "Senior Product Manager, AI Agents and Platform", "company" : "Jerry. ai", "industry" : "Product", "salary" : { "min" : 160000.0, "max" : 200000.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "San Francisco Bay Area", "locations" : [ "San Francisco Bay Area", "New York, New York", "Boston, Massachusetts", "Los Angeles, California", "Atlanta, Georgia", "Chicago, Illinois", "Toronto, Ontario" ], "timestamp" : "2026-06-16T09:14:05.253", "fingerprint" : "375f4374e9ed50c42c723a237e4d7a9540f433d06da970e5867faeef89b21a5f", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/jerry.ai/b6aa8c88-786a-4e8e-88ac-0d7fd296cb06/application", "externalId" : "b6aa8c88-786a-4e8e-88ac-0d7fd296cb06", "industryFunction" : { }, "structuredLocations" : [ { "city" : "San Francisco", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.7879363,-122.4075201" } ], "locationText" : "San Francisco, California, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "LLMs, APIs", "professionalSkills" : [ "System design", "Technical translation" ], "hardSkillsList" : [ "Prompt strategies", "Evaluation frameworks", "SQL" ], "hardSkills" : [ { "name" : "Prompt strategies", "level" : "intermediate" }, { "name" : "Evaluation frameworks", "level" : "intermediate" }, { "name" : "SQL", "level" : "intermediate" } ], "majorSkills" : "AI platform, Customer experiences, LLM systems", "majorSkillsList" : [ "AI platform", "Customer experiences", "LLM systems" ], "coreResponsibilities" : "Lead end-to-end development for AI platform, Lead end-to-end development for customer experiences, Partner with engineers to design prompt strategies, Partner with engineers to design evaluation frameworks, Partner with engineers to design guardrails, Serve as technical translator, Establish AI best practices, Establish platform standards, Drive systematic improvement in answer quality, Drive systematic improvement in customer satisfaction, Drive systematic improvement in automation rates, Work with partners at OpenAI to evaluate voice, Work with partners at OpenAI to deploy voice, Work with partners at OpenAI to evaluate workflow, Work with partners at OpenAI to deploy workflow", "teamCollaboration" : "Cross-functional collaboration; Work with partners at OpenAI", "projectManagementSkills" : [ "Roadmap development" ], "domainKnowledge" : "Car ownership; LLM systems; Human-in-the-loop feedback; Computer-use agents; Voice models; Workflow automation", "domainList" : [ "car-ownership", "llm-systems", "human-in-the-loop-feedback", "computer-use-agents", "voice-models", "workflow-automation" ], "domainSpecificKnowledge" : [ "Car ownership", "LLM systems", "Human-in-the-loop feedback", "Computer-use agents", "Voice models", "Workflow automation" ], "innovationCreativity" : "Pioneer new model capabilities", "problemSolvingSkills" : "Optimistic problem-solver; Data-driven validation", "outcomesObjectives" : "Improve answer quality; Improve customer satisfaction; Improve automation rates", "qualificationsBasic" : "4+ years management consulting, 4+ years technical product management, Proven interest in modern LLM systems, Ability to navigate technical tradeoffs, Lead by example implementing AI platform standards, Track record of taking complex ideas into production-grade products", "qualificationsPreferred" : "Experience building custom workflows", "remoteFriendly" : true, "rawDescription" : "WHY JERRY.AI http://Jerry.ai? - We are building the first super app to manage car ownership—an industry where the experience is stuck in the 90s. - Lead a strategic area leveraging LLMs, agents, and internal APIs to automate a fragmented, $2T market. - Work with partners at OpenAI to integrate Jerry.ai http://Jerry.ai services directly into the ChatGPT App and pioneer new model capabilities. LEAD THE AI REVOLUTION FOR JERRY.AI http://Jerry.ai: At Jerry.ai http://Jerry.ai, we are moving past fragmented, time-consuming processes to create a seamless, automated platform. You will sit at the intersection of product, engineering, and applied AI as you build and scale a sophisticated system that already automates >70% of inbound sales and service requests (over 50k chats per month). Your role will include shaping how modern LLM systems, human-in-the-loop feedback, and computer-use agents redefine an entire industry. HOW YOU WILL MAKE AN IMPACT: - Lead end-to-end development for our AI platform and customer experiences, from initial roadmap to rollout. - Partner with engineers to design prompt strategies, evaluation frameworks, and guardrails—balancing latency, cost, and accuracy. - Serve as the technical translator between engineering and the broader organization, establishing AI best practices and platform standards. - Drive systematic improvement in answer quality, customer satisfaction, and automation rates through rigorous experimentation. - Work with partners at OpenAI to evaluate and deploy the next generation of voice models and workflow automation. WHAT WE’RE LOOKING FOR IN A BUILDER: - Intrinsically Motivated Technologist: You live and breathe AI. You read the release notes when a new model drops and you’ve already built your own custom workflows. - Systems Thinker: You are comfortable diving into technical conversations about API design and system architecture, translating complex concepts for any audience. - Optimistic Problem-Solver: You are a \"how can we\" thinker who seeks constant improvement and thrives on owning high-impact metrics. - Data-Driven with Conviction: You are familiar with SQL and comfortable diving into the data to answer your own questions and validate hypotheses. IDEAL PROFILE: - 4+ years of experience in management consulting or technical product management at a fast-paced startup. - Proven interest in modern LLM systems. - Ability to navigate technical tradeoffs and lead by example when implementing AI platform standards. - A track record of taking complex, strategic ideas and turning them into scalable, production-grade products. While we appreciate your interest and application, only applicants under consideration will be contacted. Jerry.ai is proud to be an Equal Employment Opportunity employer. We prohibit discrimination based on race, religion, color, national origin, sex, pregnancy, reproductive health decisions or related medical conditions, sexual orientation, gender identity, gender expression, age, veteran status, disability, genetic information, or other characteristics protected by applicable local, state or federal laws. Jerry.ai is committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, please contact us at recruiting@jerry.ai recruiting@getjerry.com The successful candidate’s starting pay will fall within the pay range listed on this job posting, determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Ranges are market-dependent and may be modified in the future. In addition to base salary, the compensation may include opportunities for equity grants. We offer a comprehensive benefits package to regular employees, including health, dental, and vision coverage, paid time off, paid parental leave, 401(K) plan with employer matching, and wellness benefits, among others. Equity opportunities may also be part of your total rewards package. Part-time, contract, or freelance roles may not be eligible for certain benefits. About Jerry.ai Jerry.ai is America’s first and only super app to radically simplify car ownership. We are redefining how people manage owning a car, one of their most expensive and time-consuming assets. Backed by artificial intelligence and machine learning, Jerry.ai simplifies and automates owning and maintaining a car while providing personalized services for all car owners' needs. We spend every day innovating and improving our AI-powered app to provide the best possible experience for our customers. From car insurance and financing to maintenance and safety, Jerry.ai does it all. We are the #1 rated and most downloaded app in our category with a 4.7 star rating in the App Store. We have more than 5 million customers — and we’re just getting started. Jerry.ai was founded in 2017 by serial entrepreneurs and has raised more than $240 million in financing. Join our team and work with passionate, curious and egoless people who love solving real-world problems. Help us build a revolutionary product that’s disrupting a massive market.", "summaryDescription" : "Senior Product Manager, AI Agents and Platform at Jerry. ai. Skills: AI platform, Customer experiences, LLM systems. Lead end-to-end development for AI platform. 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LEAD THE AI REVOLUTION FOR JERRY.AI http://Jerry.ai: At Jerry.ai http://Jerry.ai, we are moving past fragmented, time-consuming processes to create a seamless, automated platform. You will sit at the intersection of product, engineering, and applied AI as you build and scale a sophisticated system that already automates >70% of inbound sales and service requests (over 50k chats per month). Your role will include shaping how modern LLM systems, human-in-the-loop feedback, and computer-use agents redefine an entire industry. HOW YOU WILL MAKE AN IMPACT: - Lead end-to-end development for our AI platform and customer experiences, from initial roadmap to rollout. - Partner with engineers to design prompt strategies, evaluation frameworks, and guardrails—balancing latency, cost, and accuracy. - Serve as the technical translator between engineering and the broader organization, establishing AI best practices and platform standards. - Drive systematic improvement in answer quality, customer satisfaction, and automation rates through rigorous experimentation. - Work with partners at OpenAI to evaluate and deploy the next generation of voice models and workflow automation. WHAT WE’RE LOOKING FOR IN A BUILDER: - Intrinsically Motivated Technologist: You live and breathe AI. You read the release notes when a new model drops and you’ve already built your own custom workflows. - Systems Thinker: You are comfortable diving into technical conversations about API design and system architecture, translating complex concepts for any audience. - Optimistic Problem-Solver: You are a \"how can we\" thinker who seeks constant improvement and thrives on owning high-impact metrics. - Data-Driven with Conviction: You are familiar with SQL and comfortable diving into the data to answer your own questions and validate hypotheses. IDEAL PROFILE: - 4+ years of experience in management consulting or technical product management at a fast-paced startup. - Proven interest in modern LLM systems. - Ability to navigate technical tradeoffs and lead by example when implementing AI platform standards. - A track record of taking complex, strategic ideas and turning them into scalable, production-grade products. While we appreciate your interest and application, only applicants under consideration will be contacted. Jerry.ai is proud to be an Equal Employment Opportunity employer. We prohibit discrimination based on race, religion, color, national origin, sex, pregnancy, reproductive health decisions or related medical conditions, sexual orientation, gender identity, gender expression, age, veteran status, disability, genetic information, or other characteristics protected by applicable local, state or federal laws. Jerry.ai is committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, please contact us at recruiting@jerry.ai recruiting@getjerry.com The successful candidate’s starting pay will fall within the pay range listed on this job posting, determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Ranges are market-dependent and may be modified in the future. In addition to base salary, the compensation may include opportunities for equity grants. We offer a comprehensive benefits package to regular employees, including health, dental, and vision coverage, paid time off, paid parental leave, 401(K) plan with employer matching, and wellness benefits, among others. Equity opportunities may also be part of your total rewards package. Part-time, contract, or freelance roles may not be eligible for certain benefits. About Jerry.ai Jerry.ai is America’s first and only super app to radically simplify car ownership. We are redefining how people manage owning a car, one of their most expensive and time-consuming assets. Backed by artificial intelligence and machine learning, Jerry.ai simplifies and automates owning and maintaining a car while providing personalized services for all car owners' needs. We spend every day innovating and improving our AI-powered app to provide the best possible experience for our customers. From car insurance and financing to maintenance and safety, Jerry.ai does it all. We are the #1 rated and most downloaded app in our category with a 4.7 star rating in the App Store. We have more than 5 million customers — and we’re just getting started. Jerry.ai was founded in 2017 by serial entrepreneurs and has raised more than $240 million in financing. Join our team and work with passionate, curious and egoless people who love solving real-world problems. Help us build a revolutionary product that’s disrupting a massive market.", "summaryDescription" : "Senior Product Manager, AI Agents and Platform at Jerry. ai. Skills: AI platform, LLM systems, Workflow automation. Lead end-to-end development for AI platform. Lead end-to-end development for customer experiences", "createdAt" : "2026-06-16T00:26:59.431", "lastUpdated" : "2026-06-16T11:08:20.231", "ingestTimestamp" : "2026-06-16T00:26:59.431", "mongoId" : "6a305930f292fd229cf45a14", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 160000, "salaryAnnualMax" : 200000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Prompt strategies", "Evaluation frameworks", "SQL", "AI platform", "LLM systems", "Workflow automation", "System design", "Technical translation", "Roadmap development", "Car ownership industry", "Human-in-the-loop feedback", "Computer-use agents", "Voice models" ], "skillCount" : 13, "jobCategory" : "product", "jobSubcategory" : "product_management", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a3057f1f292fd229cf3f031", "title" : "Internship AI Agents", "company" : "KPN", "industry" : "Information Technology And Services", "salary" : { "min" : 600.0, "max" : 600.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : false }, "location" : "Amersfoort, UT, Netherlands", "locations" : [ "Amersfoort", "UT", "Netherlands" ], "timestamp" : "2026-06-16T09:10:59.342", "fingerprint" : "841c6589d0e017797e728f6cce719701a93d845eed291e4f332043811f0eb1e0", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/KPN/744000132228350-internship-ai-agents-", "externalId" : "744000132228350", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Amersfoort", "state" : "Utrecht", "country" : "Netherlands", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "52.1637703,5.4088845" } ], "locationText" : "Amersfoort, Utrecht, Netherlands", "employmentType" : "FULL_TIME", "experienceLevel" : "internship", "technicalSkills" : "Artificial intelligence, Machine learning, AI agent, Large language models, LLMs, Git", "professionalSkills" : [ "Analytical skills", "Problem-solving abilities" ], "hardSkillsList" : [ "AI frameworks", "NLP", "API development" ], "hardSkills" : [ { "name" : "AI frameworks", "level" : "intermediate" }, { "name" : "NLP", "level" : "intermediate" }, { "name" : "API development", "level" : "intermediate" } ], "majorSkills" : "AI agent development, Machine learning, Documentation generation", "majorSkillsList" : [ "AI agent development", "Machine learning", "Documentation generation" ], "coreResponsibilities" : "Develop AI agent framework, Implement AI agent solutions, Generate documentation, Maintain documentation, Design intelligent agent systems, Write clean code, Follow coding standards, Conduct testing, Debug AI agent applications, Research emerging AI technologies, Evaluate AI methodologies, Document technical specifications, Document design decisions, Document implementation details, Contribute to team meetings, Share insights, Assist integrating AI agents, Integrate with existing systems, Integrate with APIs", "teamCollaboration" : "Multicultural team; Multidisciplinary team; Experienced professionals; Fellow interns", "projectManagementSkills" : [ "Agile", "Scrum" ], "domainKnowledge" : "Telecommunications; Network operations", "domainList" : [ "telecommunications", "network-operations" ], "domainSpecificKnowledge" : [ "Telecommunications", "Network operations" ], "toolProficiency" : [ "Git" ], "communicationSkills" : "Clear communication", "documentationSkills" : "Technical documentation; Design documentation; Implementation documentation", "continuousLearning" : "Access to experts", "innovationCreativity" : "Researching the future; Innovate infrastructure", "problemSolvingSkills" : "Problem-solving abilities; Analytical skills", "specialRequirements" : "Laptop for internship use, Laptop for academic use", "qualificationsBasic" : "Bachelor's or Master's degree, Artificial intelligence and machine learning fundamentals, Speak and write English, Reside in the Netherlands", "qualificationsPreferred" : "Knowledge of AI agent architectures, Knowledge of large language models (LLMs), Experience with version control systems (Git), AI or ML projects portfolio, GitHub portfolio", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "In 2025, KPN’s network was recognized as the best in the Netherlands and achieved the highest score ever recorded globally. This achievement is the result of the continuous efforts of our network teams, who work tirelessly to improve and innovate our infrastructure. To maintain this level of excellence, we are constantly seeking talented individuals who can contribute to our mission including students interested in researching the future of telecommunications, IT, AI, and other fields related to networks. Do you want to gain hands-on experience in developing cutting-edge AI agent solutions while working alongside experienced professionals in a multicultural, multidisciplinary team? Join the Automation team in the Fixed Access department of KPN Networks. As a Fixed Access intern you will contribute to the design, development, and testing of intelligent agents that leverage the latest advancements in artificial intelligence and machine learning. This role offers a dynamic environment where innovation meets practical application, allowing you to develop your technical skill set while making meaningful contributions to real-world projects. A selection of your tasks as an intern: * Develop and implement AI agent framework and solutions specific to generate and maintain up to date documentation in order to support the operations of the network. * Collaborate with senior developers to design and architect intelligent agent systems. * Write clean, well-documented code following best practices and coding standards. * Conduct testing and debugging of AI agent applications to ensure optimal performance and reliability. * Research and evaluate emerging AI technologies and methodologies relevant to agent development. * Document technical specifications, design decisions, and implementation details. * Contribute to team meetings and share insights on project progress and technical challenges. * Assist in integrating AI agents with existing systems and APIs. ## Qualifications We are looking for someone who is motivated and who has excellent analytical and problem-solving abilities. In addition, you recognize yourself in the following: * You are pursuing a Bachelor's or Master's degree in fields such as Electrical Engineering, Artificial Intelligence, Computer Science, Information Science, or similar IT/Data-related studies. * You have a solid of artificial intelligence and machine learning fundamentals. * You enjoy working collaboratively, but can also work independently and take responsibility. * You speak and write English, and optionally Dutch. * You bring knowledge of of AI agent architectures and large language models (LLMs) and have experience with version control systems (Git). * You deliver high-quality code with sharp focus on detail and clear communication. * You reside in the Netherlands. We appreciate skills in AI frameworks, NLP, API development, Agile or Scrum. If you have AI or ML projects, add your portfolio or GitHub to your CV or cover letter. ## Additional Information What can you expect from KPN? * A monthly internship allowance of €600 based on full-time participation. * Opportunities to engage in activities and collaborate with fellow interns and colleagues. * The potential for employment at KPN upon successful completion of the internship. * A hybrid working environment: 2 days in the office, 3 days remote. * A laptop for both internship and academic use. * Travel reimbursement for train or car if you do not have a student public transport card. * Collaboration within a multidisciplinary team of experienced professionals. * Access to an extensive network of experts at KPN who are eager to share their knowledge and connections. We have a strong belief in the power of technology made even more impactful through human interaction. We look forward to meeting you! For more information, please contact our recruiter Julie Kleijzen at +31 6 33 04 99 52 or via julie.kleijzen@kpn.com. Please note that applications submitted via email will not be processed. Kindly express your interest through the application button. At KPN, we believe in smart collaboration and collective success. Therefore, acquisition in response to this vacancy is not appreciated.", "summaryDescription" : "Internship AI Agents at KPN. Skills: AI agent development, Machine learning, Documentation generation. Develop AI agent framework. Implement AI agent solutions", "postedDate" : "2026-06-15T15:04:53.000", "createdAt" : "2026-06-15T23:44:08.414", "lastUpdated" : "2026-06-16T09:10:59.342", "ingestTimestamp" : "2026-06-15T23:44:08.414", "mongoId" : "6a3057f1f292fd229cf3f031", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "AI frameworks", "NLP", "API development", "AI agent development", "Machine learning", "Documentation generation", "Analytical skills", "Problem-solving abilities", "Agile", "Scrum", "Telecommunications", "Network operations", "Git" ], "skillCount" : 13, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Entry", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a3054eff292fd229cf1bfe1", "title" : "Internship AI Agents", "company" : "KPN", "industry" : "Information Technology And Services", "salary" : { "min" : 600.0, "max" : 600.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : false }, "location" : "Amersfoort, UT, Netherlands", "locations" : [ "Amersfoort", "UT", "Netherlands" ], "timestamp" : "2026-06-16T08:56:22.326", "fingerprint" : "52f88d4a43d7592a3e003c5ed788560d66c49d983e9e2bb040fcdd6009c3f37c", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/KPN/744000132228350-internship-ai-agents-", "externalId" : "744000132228350", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Amersfoort", "state" : "Utrecht", "country" : "Netherlands", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "52.1637703,5.4088845" } ], "locationText" : "Amersfoort, Utrecht, Netherlands", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceLevel" : "internship", "technicalSkills" : "Artificial intelligence, Machine learning, AI agents, Large language models, LLMs", "professionalSkills" : [ "Problem-solving", "Analytical abilities" ], "hardSkillsList" : [ "AI frameworks", "NLP", "API development" ], "hardSkills" : [ { "name" : "AI frameworks", "level" : "intermediate" }, { "name" : "NLP", "level" : "intermediate" }, { "name" : "API development", "level" : "intermediate" } ], "majorSkills" : "AI agents, Machine learning, Documentation", "majorSkillsList" : [ "AI agents", "Machine learning", "Documentation" ], "coreResponsibilities" : "Develop AI agent framework, Implement AI agent solutions, Generate documentation, Maintain documentation, Support network operations, Collaborate with senior developers, Design intelligent agent systems, Architect intelligent agent systems, Write clean code, Follow coding standards, Conduct testing, Debug AI agent applications, Ensure optimal performance, Ensure reliability, Research AI technologies, Evaluate AI methodologies, Document technical specifications, Document design decisions, Document implementation details, Contribute to team meetings, Share insights, Assist integrating AI agents, Integrate with existing systems, Integrate with APIs", "teamCollaboration" : "Multidisciplinary team; Experienced professionals; Team meetings", "projectManagementSkills" : [ "Agile", "Scrum" ], "domainKnowledge" : "Telecommunications; Networks; IT; Data", "domainList" : [ "telecommunications", "networks", "it", "data" ], "domainSpecificKnowledge" : [ "Telecommunications", "Networks", "IT", "Data" ], "toolProficiency" : [ "Git" ], "communicationSkills" : "Clear communication", "documentationSkills" : "Documentation; Technical specifications; Design decisions; Implementation details", "continuousLearning" : "Research emerging AI technologies", "innovationCreativity" : "Innovate infrastructure; Develop cutting-edge AI agent solutions", "problemSolvingSkills" : "Problem-solving abilities; Analytical abilities", "specialRequirements" : "Travel reimbursement", "qualificationsBasic" : "Bachelor's or Master's degree, Solid AI/ML fundamentals, Speak and write English, Reside in the Netherlands", "qualificationsPreferred" : "Knowledge of AI agent architectures, Knowledge of LLMs, Experience with Git, Deliver high-quality code, Sharp focus on detail, Clear communication, Optional Dutch language skills", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "In 2025, KPN’s network was recognized as the best in the Netherlands and achieved the highest score ever recorded globally. This achievement is the result of the continuous efforts of our network teams, who work tirelessly to improve and innovate our infrastructure. To maintain this level of excellence, we are constantly seeking talented individuals who can contribute to our mission including students interested in researching the future of telecommunications, IT, AI, and other fields related to networks. Do you want to gain hands-on experience in developing cutting-edge AI agent solutions while working alongside experienced professionals in a multicultural, multidisciplinary team? Join the Automation team in the Fixed Access department of KPN Networks. As a Fixed Access intern you will contribute to the design, development, and testing of intelligent agents that leverage the latest advancements in artificial intelligence and machine learning. This role offers a dynamic environment where innovation meets practical application, allowing you to develop your technical skill set while making meaningful contributions to real-world projects. A selection of your tasks as an intern: * Develop and implement AI agent framework and solutions specific to generate and maintain up to date documentation in order to support the operations of the network. * Collaborate with senior developers to design and architect intelligent agent systems. * Write clean, well-documented code following best practices and coding standards. * Conduct testing and debugging of AI agent applications to ensure optimal performance and reliability. * Research and evaluate emerging AI technologies and methodologies relevant to agent development. * Document technical specifications, design decisions, and implementation details. * Contribute to team meetings and share insights on project progress and technical challenges. * Assist in integrating AI agents with existing systems and APIs. ## Qualifications We are looking for someone who is motivated and who has excellent analytical and problem-solving abilities. In addition, you recognize yourself in the following: * You are pursuing a Bachelor's or Master's degree in fields such as Electrical Engineering, Artificial Intelligence, Computer Science, Information Science, or similar IT/Data-related studies. * You have a solid of artificial intelligence and machine learning fundamentals. * You enjoy working collaboratively, but can also work independently and take responsibility. * You speak and write English, and optionally Dutch. * You bring knowledge of of AI agent architectures and large language models (LLMs) and have experience with version control systems (Git). * You deliver high-quality code with sharp focus on detail and clear communication. * You reside in the Netherlands. We appreciate skills in AI frameworks, NLP, API development, Agile or Scrum. If you have AI or ML projects, add your portfolio or GitHub to your CV or cover letter. ## Additional Information What can you expect from KPN? * A monthly internship allowance of €600 based on full-time participation. * Opportunities to engage in activities and collaborate with fellow interns and colleagues. * The potential for employment at KPN upon successful completion of the internship. * A hybrid working environment: 2 days in the office, 3 days remote. * A laptop for both internship and academic use. * Travel reimbursement for train or car if you do not have a student public transport card. * Collaboration within a multidisciplinary team of experienced professionals. * Access to an extensive network of experts at KPN who are eager to share their knowledge and connections. We have a strong belief in the power of technology made even more impactful through human interaction. We look forward to meeting you! For more information, please contact our recruiter Julie Kleijzen at +31 6 33 04 99 52 or via julie.kleijzen@kpn.com. Please note that applications submitted via email will not be processed. Kindly express your interest through the application button. At KPN, we believe in smart collaboration and collective success. Therefore, acquisition in response to this vacancy is not appreciated.", "summaryDescription" : "Internship AI Agents at KPN. Skills: AI agents, Machine learning, Documentation. Develop AI agent framework. Implement AI agent solutions", "postedDate" : "2026-06-15T15:04:53.000", "createdAt" : "2026-06-15T23:32:24.246", "lastUpdated" : "2026-06-16T08:56:22.326", "ingestTimestamp" : "2026-06-15T23:32:24.246", "mongoId" : "6a3054eff292fd229cf1bfe1", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "AI frameworks", "NLP", "API development", "AI agents", "Machine learning", "Documentation", "Problem-solving", "Analytical abilities", "Agile", "Scrum", "Telecommunications", "Networks", "IT", "Data", "Git" ], "skillCount" : 15, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Entry", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a3054eff292fd229cf1bfe3", "title" : "Meewerkstage AI Agents", "company" : "KPN", "industry" : "Information Technology And Services", "salary" : { "min" : 600.0, "max" : 600.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : false }, "location" : "Amersfoort, UT, Netherlands", "locations" : [ "Amersfoort", "UT", "Netherlands" ], "timestamp" : "2026-06-16T08:40:37.920", "fingerprint" : "20b3ad915803b9454d654212f6f003c2f5c295051200fbbd74615915e88b2720", "source" : "smartrecruiters", "language" : "nl", "applyUrl" : "https://jobs.smartrecruiters.com/KPN/744000132228779-meewerkstage-ai-agents", "externalId" : "744000132228779", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Amersfoort", "state" : "Utrecht", "country" : "Netherlands", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "52.1637703,5.4088845" } ], "locationText" : "Amersfoort, Utrecht, Netherlands", "employmentType" : "FULL_TIME", "experienceLevel" : "internship", "technicalSkills" : "AI, Machine Learning, Large Language Models, Git", "professionalSkills" : [ "Problem solving", "Responsibility taking" ], "hardSkillsList" : [ "AI agent development", "Code documentation", "Technical specification", "System integration" ], "hardSkills" : [ { "name" : "AI agent development", "level" : "intermediate" }, { "name" : "Code documentation", "level" : "intermediate" }, { "name" : "Technical specification", "level" : "intermediate" }, { "name" : "System integration", "level" : "intermediate" } ], "majorSkills" : "AI Agents, Machine Learning, Network Operations", "majorSkillsList" : [ "AI Agents", "Machine Learning", "Network Operations" ], "coreResponsibilities" : "Develop AI agent frameworks, Implement AI agent solutions, Generate documentation, Update documentation, Collaborate on design, Collaborate on architecture, Write documented code, Test AI agent applications, Research AI technologies, Assess AI methods, Document technical specifications, Document design choices, Document implementation details, Contribute to team meetings, Share insights, Support system integration, Support API integration", "teamCollaboration" : "Multidisciplinary team; Automation team; Fixed Access department", "domainKnowledge" : "Telecom; Network operations; AI agent architectures; Large language models", "domainList" : [ "telecom", "network-operations", "ai-agent-architectures", "large-language-models" ], "domainSpecificKnowledge" : [ "Telecom", "Network operations", "AI agent architectures", "Large language models" ], "toolProficiency" : [ "Git" ], "communicationSkills" : "Clear communication", "documentationSkills" : "Code documentation; Technical documentation; Design documentation; Implementation documentation", "continuousLearning" : "KPN Academy; Workshops", "innovationCreativity" : "Develop innovative AI-agent solutions", "problemSolvingSkills" : "Analytical skills; Problem-solving skills", "specialRequirements" : "Living in Netherlands", "qualificationsBasic" : "HBO or WO degree, Fundamentals of AI/ML, English and Dutch speaking, Knowledge of AI agent architectures, Knowledge of large language models, Experience with Git, High-quality code, Attention to detail, Clear communication", "qualificationsPreferred" : "Experience with AI frameworks, NLP experience, API development experience, Agile or Scrum experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "In 2025 werd het netwerk van KPN erkend als het beste van Nederland en behaalde het de hoogste score die wereldwijd is gemeten. Dit resultaat is het gevolg van de voortdurende inzet van onze netwerkteams, die zich dagelijks inzetten om onze infrastructuur te verbeteren en te innoveren. Om dit hoge niveau te behouden, zijn we continu op zoek naar talent dat kan bijdragen aan onze missie, waaronder studenten die onderzoek willen doen naar de toekomst van telecom, IT, AI en andere netwerkgerelateerde vakgebieden. Wil je praktijkervaring opdoen met het ontwikkelen van innovatieve AI-agentoplossingen, terwijl je samenwerkt met ervaren professionals in een multicultureel en multidisciplinair team? Sluit je aan bij het Automation-team binnen de afdeling Fixed Access van KPN Networks. Als stagiair(e) Fixed Access draag je bij aan het ontwerp, de ontwikkeling en het testen van intelligente agents die gebruikmaken van de nieuwste ontwikkelingen in artificial intelligence en machine learning. Je werkt in een dynamische omgeving waar innovatie en praktische toepassing samenkomen. Dit biedt je de kans om je technische vaardigheden te ontwikkelen en tegelijkertijd een waardevolle bijdrage te leveren aan projecten met impact in de praktijk. Een greep uit jouw taken als stagiair(e): * Je ontwikkelt en implementeert AI-agentframeworks en oplossingen gericht op het genereren en actueel houden van documentatie ter ondersteuning van netwerkoperaties. * Je werkt samen met senior developers aan het ontwerp en de architectuur van intelligente agentsystemen. * Je schrijft duidelijke, goed gedocumenteerde code volgens bestaande standaarden en best practices. * Je test AI-agentapplicaties om prestaties en betrouwbaarheid te waarborgen. * Je onderzoekt en beoordeelt nieuwe AI-technologieën en methodes die relevant zijn voor agentontwikkeling. * Je documenteert technische specificaties, ontwerpkeuzes en implementatiedetails. * Je draagt actief bij aan teamoverleggen en deelt inzichten over voortgang en technische uitdagingen. * Je ondersteunt bij de integratie van AI-agents met bestaande systemen en API’s. ## Qualifications Wij zoeken iemand die gemotiveerd is en beschikt over sterke analytische en probleemoplossende vaardigheden. Daarnaast herken je jezelf in het volgende: * Je volgt een hbo- of wo-opleiding in bijvoorbeeld Electrical Engineering, Artificial Intelligence, Computer Science, Information Science of een vergelijkbare IT- of data-gerelateerde studie. * Je hebt een goede basis in de fundamentals van artificial intelligence en machine learning. * Je werkt graag samen, maar kunt ook zelfstandig werken en verantwoordelijkheid nemen. * Je spreekt en schrijft Engels, en eventueel ook Nederlands. * Je hebt kennis van AI-agentarchitecturen en large language models (LLM’s) en ervaring met versiebeheersystemen zoals Git. * Je levert kwalitatief hoogwaardige code, met oog voor detail en heldere communicatie. * Je woont in Nederland. Ervaring met AI-frameworks, NLP, API-ontwikkeling en Agile of Scrum is een pré. Heb je al projecten gedaan binnen AI of machine learning? Voeg dan je portfolio of GitHub toe aan je cv of motivatiebrief. ## Additional Information Dit ontvang je van KPN: * Een stagevergoeding van EUR 600,- (o.b.v. 40 uur). * Een laptop, die je ook kunt gebruiken voor jouw schoolopdrachten. * Heb je geen studenten-ov? Dan worden jouw reiskosten vergoed voor de trein of auto. * Je krijgt bij ons een vaste begeleider die jou op professionele manier coacht in jouw stage. * Je krijgt toegang tot een groot netwerk van experts bij KPN die graag hun kennis & netwerk met jou delen. * Breid jouw kennis & skills uit door onze KPN Academy en workshops. * Fun activiteiten via Jong KPN en het stagiair-netwerk. * En ook niet onbelangrijk; regelmatig zijn er gezellige borrels en activiteiten op kantoor. Ben jij klaar voor deze uitdaging en wil je bijdragen aan het succes van KPN? Ons geloof in technologie is groot. Dit wordt nóg krachtiger samen met menselijk contact, daarom ontmoeten we je graag! Wil je meer weten? Neem contact op met onze recruiter Julie Kleijzen via julie.kleijzen@kpn.com. Sollicitaties die per e-mail worden verstuurd, worden niet in behandeling genomen. Graag je interesse kenbaar maken via de sollicitatieknop. Bij KPN hebben we recruitmenttalent dat slim samenwerkt en zo wint. Daarom wordt acquisitie naar aanleiding van deze vacature niet gewaardeerd.", "summaryDescription" : "Meewerkstage AI Agents at KPN. Skills: AI Agents, Machine Learning, Network Operations. Develop AI agent frameworks. Implement AI agent solutions", "postedDate" : "2026-06-15T15:04:36.000", "createdAt" : "2026-06-15T23:40:06.141", "lastUpdated" : "2026-06-16T08:40:37.920", "ingestTimestamp" : "2026-06-15T23:40:06.141", "mongoId" : "6a3054eff292fd229cf1bfe3", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "AI agent development", "Code documentation", "Technical specification", "System integration", "AI Agents", "Machine Learning", "Network Operations", "Problem solving", "Responsibility taking", "Telecom", "Network operations", "AI agent architectures", "Large language models", "Git" ], "skillCount" : 14, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Entry", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a3057f1f292fd229cf3f032", "title" : "Meewerkstage AI Agents", "company" : "KPN", "industry" : "Information Technology And Services", "salary" : { "min" : 600.0, "max" : 600.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : false }, "location" : "Amersfoort, UT, Netherlands", "locations" : [ "Amersfoort", "UT", "Netherlands" ], "timestamp" : "2026-06-16T07:04:34.579", "fingerprint" : "43e12ada3068149ae0a6fc55f38aa9f7e5f675453e53399ad4eac87190d88aa1", "source" : "smartrecruiters", "language" : "nl", "applyUrl" : "https://jobs.smartrecruiters.com/KPN/744000132228779-meewerkstage-ai-agents", "externalId" : "744000132228779", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Amersfoort", "state" : "Utrecht", "country" : "Netherlands", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "52.1637703,5.4088845" } ], "locationText" : "Amersfoort, Utrecht, Netherlands", "employmentType" : "FULL_TIME", "experienceLevel" : "internship", "technicalSkills" : "AI, Machine Learning, LLMs", "professionalSkills" : [ "Problem solving", "Responsibility" ], "hardSkillsList" : [ "AI agent development", "Code documentation", "Technical specifications", "System integration" ], "hardSkills" : [ { "name" : "AI agent development", "level" : "intermediate" }, { "name" : "Code documentation", "level" : "intermediate" }, { "name" : "Technical specifications", "level" : "intermediate" }, { "name" : "System integration", "level" : "intermediate" } ], "majorSkills" : "AI Agents, Machine Learning, Network Operations", "majorSkillsList" : [ "AI Agents", "Machine Learning", "Network Operations" ], "coreResponsibilities" : "Develop and implement AI agent frameworks, Generate and update documentation, Support network operations, Collaborate with senior developers, Design intelligent agent systems, Write clear code, Document code, Test AI agent applications, Ensure performance and reliability, Research new AI technologies, Assess new AI methods, Document technical specifications, Document design choices, Document implementation details, Contribute to team meetings, Share insights, Support AI agent integration, Integrate with existing systems, Integrate with APIs", "teamCollaboration" : "Multidisciplinary team; Automation team; Fixed Access department", "domainKnowledge" : "Telecom; Network operations; AI agent architectures; Large language models", "domainList" : [ "telecom", "network-operations", "ai-agent-architectures", "large-language-models" ], "domainSpecificKnowledge" : [ "Telecom", "Network operations", "AI agent architectures", "Large language models" ], "toolProficiency" : [ "Git" ], "communicationSkills" : "Clear communication", "documentationSkills" : "Code documentation; Technical documentation", "continuousLearning" : "KPN Academy; Workshops", "innovationCreativity" : "Develop innovative AI-agent solutions", "problemSolvingSkills" : "Problem solving skills; Analytical skills", "specialRequirements" : "Living in the Netherlands", "qualificationsBasic" : "HBO or WO degree, Fundamentals of AI/ML, English and Dutch speaking, Knowledge of AI agent architectures, Knowledge of LLMs, Experience with Git, High-quality code, Attention to detail, Clear communication", "qualificationsPreferred" : "Experience with AI frameworks, NLP experience, API development experience, Agile or Scrum experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "In 2025 werd het netwerk van KPN erkend als het beste van Nederland en behaalde het de hoogste score die wereldwijd is gemeten. Dit resultaat is het gevolg van de voortdurende inzet van onze netwerkteams, die zich dagelijks inzetten om onze infrastructuur te verbeteren en te innoveren. Om dit hoge niveau te behouden, zijn we continu op zoek naar talent dat kan bijdragen aan onze missie, waaronder studenten die onderzoek willen doen naar de toekomst van telecom, IT, AI en andere netwerkgerelateerde vakgebieden. Wil je praktijkervaring opdoen met het ontwikkelen van innovatieve AI-agentoplossingen, terwijl je samenwerkt met ervaren professionals in een multicultureel en multidisciplinair team? Sluit je aan bij het Automation-team binnen de afdeling Fixed Access van KPN Networks. Als stagiair(e) Fixed Access draag je bij aan het ontwerp, de ontwikkeling en het testen van intelligente agents die gebruikmaken van de nieuwste ontwikkelingen in artificial intelligence en machine learning. Je werkt in een dynamische omgeving waar innovatie en praktische toepassing samenkomen. Dit biedt je de kans om je technische vaardigheden te ontwikkelen en tegelijkertijd een waardevolle bijdrage te leveren aan projecten met impact in de praktijk. Een greep uit jouw taken als stagiair(e): * Je ontwikkelt en implementeert AI-agentframeworks en oplossingen gericht op het genereren en actueel houden van documentatie ter ondersteuning van netwerkoperaties. * Je werkt samen met senior developers aan het ontwerp en de architectuur van intelligente agentsystemen. * Je schrijft duidelijke, goed gedocumenteerde code volgens bestaande standaarden en best practices. * Je test AI-agentapplicaties om prestaties en betrouwbaarheid te waarborgen. * Je onderzoekt en beoordeelt nieuwe AI-technologieën en methodes die relevant zijn voor agentontwikkeling. * Je documenteert technische specificaties, ontwerpkeuzes en implementatiedetails. * Je draagt actief bij aan teamoverleggen en deelt inzichten over voortgang en technische uitdagingen. * Je ondersteunt bij de integratie van AI-agents met bestaande systemen en API’s. ## Qualifications Wij zoeken iemand die gemotiveerd is en beschikt over sterke analytische en probleemoplossende vaardigheden. Daarnaast herken je jezelf in het volgende: * Je volgt een hbo- of wo-opleiding in bijvoorbeeld Electrical Engineering, Artificial Intelligence, Computer Science, Information Science of een vergelijkbare IT- of data-gerelateerde studie. * Je hebt een goede basis in de fundamentals van artificial intelligence en machine learning. * Je werkt graag samen, maar kunt ook zelfstandig werken en verantwoordelijkheid nemen. * Je spreekt en schrijft Engels, en eventueel ook Nederlands. * Je hebt kennis van AI-agentarchitecturen en large language models (LLM’s) en ervaring met versiebeheersystemen zoals Git. * Je levert kwalitatief hoogwaardige code, met oog voor detail en heldere communicatie. * Je woont in Nederland. Ervaring met AI-frameworks, NLP, API-ontwikkeling en Agile of Scrum is een pré. Heb je al projecten gedaan binnen AI of machine learning? Voeg dan je portfolio of GitHub toe aan je cv of motivatiebrief. ## Additional Information Dit ontvang je van KPN: * Een stagevergoeding van EUR 600,- (o.b.v. 40 uur). * Een laptop, die je ook kunt gebruiken voor jouw schoolopdrachten. * Heb je geen studenten-ov? Dan worden jouw reiskosten vergoed voor de trein of auto. * Je krijgt bij ons een vaste begeleider die jou op professionele manier coacht in jouw stage. * Je krijgt toegang tot een groot netwerk van experts bij KPN die graag hun kennis & netwerk met jou delen. * Breid jouw kennis & skills uit door onze KPN Academy en workshops. * Fun activiteiten via Jong KPN en het stagiair-netwerk. * En ook niet onbelangrijk; regelmatig zijn er gezellige borrels en activiteiten op kantoor. Ben jij klaar voor deze uitdaging en wil je bijdragen aan het succes van KPN? Ons geloof in technologie is groot. Dit wordt nóg krachtiger samen met menselijk contact, daarom ontmoeten we je graag! Wil je meer weten? Neem contact op met onze recruiter Julie Kleijzen via julie.kleijzen@kpn.com. Sollicitaties die per e-mail worden verstuurd, worden niet in behandeling genomen. Graag je interesse kenbaar maken via de sollicitatieknop. Bij KPN hebben we recruitmenttalent dat slim samenwerkt en zo wint. Daarom wordt acquisitie naar aanleiding van deze vacature niet gewaardeerd.", "summaryDescription" : "Meewerkstage AI Agents at KPN. Skills: AI Agents, Machine Learning, Network Operations. Develop and implement AI agent frameworks. Generate and update documentation", "postedDate" : "2026-06-15T15:04:36.000", "createdAt" : "2026-06-15T23:34:05.898", "lastUpdated" : "2026-06-16T07:04:34.579", "ingestTimestamp" : "2026-06-15T23:34:05.898", "mongoId" : "6a3057f1f292fd229cf3f032", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "AI agent development", "Code documentation", "Technical specifications", "System integration", "AI Agents", "Machine Learning", "Network Operations", "Problem solving", "Responsibility", "Telecom", "Network operations", "AI agent architectures", "Large language models", "Git" ], "skillCount" : 14, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Entry", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2cb13c74d8ee00a09dc952", "title" : "Senior Manager, AI Agents and Platform", "company" : "Jerry.ai", "industry" : "Product", "salary" : { "min" : 160000.0, "max" : 200000.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "San Francisco Bay Area", "locations" : [ "San Francisco Bay Area", "New York, New York", "Boston, Massachusetts", "Los Angeles, California", "Atlanta, Georgia", "Chicago, Illinois", "Toronto, Ontario" ], "timestamp" : "2026-06-16T01:28:13.305", "fingerprint" : "5ec68a055b0680cfe6f60c2f27a55a293e93215d3c785dcc30034b7e71abf02b", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/Jerry.ai/50e8c1a8-466c-4711-8bec-5fe5af8d831f/application", "externalId" : "50e8c1a8-466c-4711-8bec-5fe5af8d831f", "industryFunction" : { }, "structuredLocations" : [ { "city" : "San Francisco", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.7879363,-122.4075201" } ], "locationText" : "San Francisco, California, United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "technicalSkills" : "LLMs, APIs", "professionalSkills" : [ "System architecture", "API design" ], "hardSkillsList" : [ "Prompt strategies", "Evaluation frameworks", "Answer quality" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Prompt strategies", "level" : "intermediate" }, { "name" : "Evaluation frameworks", "level" : "intermediate" }, { "name" : "Answer quality", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "AI Agents, LLM systems, Platform standards", "majorSkillsList" : [ "AI Agents", "LLM systems", "Platform standards" ], "coreResponsibilities" : "Lead end-to-end development for AI platform, Lead end-to-end development for customer experiences, Design prompt strategies, Design evaluation frameworks, Design guardrails, Serve as technical translator, Establish AI best practices, Establish platform standards, Drive systematic improvement in answer quality, Drive systematic improvement in customer satisfaction, Drive systematic improvement in automation rates, Evaluate voice models, Deploy voice models, Evaluate workflow automation, Deploy workflow automation", "teamCollaboration" : "Partner with engineers; Work with partners at OpenAI", "projectManagementSkills" : [ "Roadmap" ], "domainKnowledge" : "Car ownership; Regulated production environment", "domainList" : [ "car-ownership", "regulated-production-environment" ], "domainSpecificKnowledge" : [ "Car ownership", "Regulated production environment" ], "communicationSkills" : "Technical translator", "innovationCreativity" : "Pioneer new model capabilities", "problemSolvingSkills" : "Optimistic Problem-Solver", "outcomesObjectives" : "Automate >70% of inbound sales; Automate >70% of service requests", "qualificationsBasic" : "5+ years of experience in management consulting, 5+ years of experience in technical product management, Proven interest in modern LLM systems, Ability to navigate technical tradeoffs, Lead by example implementing AI platform standards, Track record of turning complex ideas into scalable products", "qualificationsPreferred" : "Desire to work in a regulated production environment", "remoteFriendly" : true, "rawDescription" : "WHY JERRY.AI http://Jerry.ai? - We are building the first super app to manage car ownership—an industry where the experience is stuck in the 90s. - Lead a strategic area leveraging LLMs, agents, and internal APIs to automate a fragmented, $2T market. - Work with partners at OpenAI to integrate Jerry.ai http://Jerry.ai services directly into the ChatGPT App and pioneer new model capabilities. LEAD THE AI REVOLUTION FOR JERRY.AI http://Jerry.ai: At Jerry.ai http://Jerry.ai, we are moving past fragmented, time-consuming processes to create a seamless, automated platform. You will sit at the intersection of product, engineering, and applied AI as you build and scale a sophisticated system that already automates >70% of inbound sales and service requests (over 50k chats per month). Your role will include shaping how modern LLM systems, human-in-the-loop feedback, and computer-use agents redefine an entire industry. HOW YOU WILL MAKE AN IMPACT: - Lead end-to-end development for our AI platform and customer experiences, from initial roadmap to rollout. - Partner with engineers to design prompt strategies, evaluation frameworks, and guardrails—balancing latency, cost, and accuracy. - Serve as the technical translator between engineering and the broader organization, establishing AI best practices and platform standards. - Drive systematic improvement in answer quality, customer satisfaction, and automation rates through rigorous experimentation. - Work with partners at OpenAI to evaluate and deploy the next generation of voice models and workflow automation. WHAT WE’RE LOOKING FOR IN A BUILDER: - Intrinsically Motivated Technologist: You live and breathe AI. You read the release notes when a new model drops and you’ve already built your own custom workflows. - Systems Thinker: You are comfortable diving into technical conversations about API design and system architecture, translating complex concepts for any audience. - Optimistic Problem-Solver: You are a \"how can we\" thinker who seeks constant improvement and thrives on owning high-impact metrics. - Data-Driven with Conviction: You are familiar with SQL and comfortable diving into the data to answer your own questions and validate hypotheses. IDEAL PROFILE: - 5+ years of experience in management consulting or technical product management at a fast-paced startup. - Proven interest in modern LLM systems and a desire to work in a regulated production environment. - Ability to navigate technical tradeoffs and lead by example when implementing AI platform standards. - A track record of taking complex, strategic ideas and turning them into scalable, production-grade products. While we appreciate your interest and application, only applicants under consideration will be contacted. Jerry.ai is proud to be an Equal Employment Opportunity employer. We prohibit discrimination based on race, religion, color, national origin, sex, pregnancy, reproductive health decisions or related medical conditions, sexual orientation, gender identity, gender expression, age, veteran status, disability, genetic information, or other characteristics protected by applicable local, state or federal laws. Jerry.ai is committed to providing reasonable accommodations for individuals with disabilities in our job application process. If you need assistance or an accommodation due to a disability, please contact us at recruiting@jerry.ai recruiting@getjerry.com The successful candidate’s starting pay will fall within the pay range listed on this job posting, determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions. Ranges are market-dependent and may be modified in the future. In addition to base salary, the compensation may include opportunities for equity grants. We offer a comprehensive benefits package to regular employees, including health, dental, and vision coverage, paid time off, paid parental leave, 401(K) plan with employer matching, and wellness benefits, among others. Equity opportunities may also be part of your total rewards package. Part-time, contract, or freelance roles may not be eligible for certain benefits. About Jerry.ai Jerry.ai is America’s first and only super app to radically simplify car ownership. We are redefining how people manage owning a car, one of their most expensive and time-consuming assets. Backed by artificial intelligence and machine learning, Jerry.ai simplifies and automates owning and maintaining a car while providing personalized services for all car owners' needs. We spend every day innovating and improving our AI-powered app to provide the best possible experience for our customers. From car insurance and financing to maintenance and safety, Jerry.ai does it all. We are the #1 rated and most downloaded app in our category with a 4.7 star rating in the App Store. We have more than 5 million customers — and we’re just getting started. Jerry.ai was founded in 2017 by serial entrepreneurs and has raised more than $240 million in financing. Join our team and work with passionate, curious and egoless people who love solving real-world problems. Help us build a revolutionary product that’s disrupting a massive market.", "summaryDescription" : "Senior Manager, AI Agents and Platform at Jerry.ai. Skills: AI Agents, LLM systems, Platform standards. Lead end-to-end development for AI platform. Lead end-to-end development for customer experiences", "createdAt" : "2026-06-14T20:15:58.929", "lastUpdated" : "2026-06-16T01:28:13.305", "ingestTimestamp" : "2026-06-14T20:15:58.929", "mongoId" : "6a2cb13c74d8ee00a09dc952", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 160000, "salaryAnnualMax" : 200000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Prompt strategies", "Evaluation frameworks", "Answer quality", "Leadership", "AI Agents", "LLM systems", "Platform standards", "System architecture", "API design", "Roadmap", "Car ownership", "Regulated production environment" ], "skillCount" : 12, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Manager", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a191e7758b93c861e39f7ab", "title" : "CAD customization using. NET (C#), VB", "company" : "Mercedes-Benz Research and Development India", "industry" : "Manufacturing", "salary" : { "min" : 1450000.0, "max" : 2150000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Mid-level CAD customization role using .NET (C#), VB in the Automotive industry in Bangalore, India, adjusted for seniority and company size." }, "location" : "India-Karnataka-Bangalore", "locations" : [ "India-Karnataka-Bangalore", "Brigade Tech Gardens, Katha No. 119, Kundalahalli Village, K.R. Puram Hobli, Ward No. 85, Bangalore" ], "timestamp" : "2026-06-16T00:30:44.748", "fingerprint" : "ddfdae409a0ca3e41d89c8d3bd5d9b738080f7d4143d2102fb90f3cd2e65f613", "source" : "taleo", "language" : "en", "applyUrl" : "https://tas-daimler.taleo.net/careersection/ex/jobdetail.ftl?job=889179", "externalId" : "889179", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bangalore", "state" : "Karnataka", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "12.9767936,77.5900820" } ], "locationText" : "Bangalore, Karnataka, India", "minimumEducation" : "Bachelor's", "experienceMinYears" : 3, "experienceMaxYears" : 6, "experienceLevel" : "Mid", "technicalSkills" : "NET, C#, VB, Scripting, XML, NX-Open API, HTML, AI, Deep learning, C/C++", "professionalSkills" : [ "Automation", "Requirement gathering", "Project coordination", "Technical decisions", "Report writing", "Coding standards", "SDLC", "Agile methodologies", "Architectural patterns", "Quick PoC development" ], "hardSkillsList" : [ "NXOpen/UFUNC API", "C# (.NET)", "VB", "C/C++", "Scripting", "XML", "Visual Studio", "UIlock Styler", "WPF", "Siemens NX", "Modelling", "Drafting", "Coding standards", "JIRA", "Confluence", "KANBO", "DevOps", "CI/CD", "Cloud Knowhow" ], "softSkillsList" : [ "Analytical", "Problem-solving", "Leadership" ], "hardSkills" : [ { "name" : "NXOpen/UFUNC API", "level" : "intermediate" }, { "name" : "C# (.NET)", "level" : "intermediate" }, { "name" : "VB", "level" : "intermediate" }, { "name" : "C/C++", "level" : "intermediate" }, { "name" : "Scripting", "level" : "intermediate" }, { "name" : "XML", "level" : "intermediate" }, { "name" : "Visual Studio", "level" : "intermediate" }, { "name" : "UIlock Styler", "level" : "intermediate" }, { "name" : "WPF", "level" : "intermediate" }, { "name" : "Siemens NX", "level" : "intermediate" }, { "name" : "Modelling", "level" : "intermediate" }, { "name" : "Drafting", "level" : "intermediate" }, { "name" : "Coding standards", "level" : "intermediate" }, { "name" : "JIRA", "level" : "intermediate" }, { "name" : "Confluence", "level" : "intermediate" }, { "name" : "KANBO", "level" : "intermediate" }, { "name" : "DevOps", "level" : "intermediate" }, { "name" : "CI/CD", "level" : "intermediate" }, { "name" : "Cloud Knowhow", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Analytical" }, { "name" : "Problem-solving" }, { "name" : "Leadership" } ], "majorSkills" : "CAD Customization, NET, NXOpen API, Automation", "majorSkillsList" : [ "CAD Customization", "NET", "NXOpen API", "Automation" ], "coreResponsibilities" : "Develop desktop applications, Develop Macros, Develop Plugins, Customize CAD, Implement automation requirements, Gather requirements, Deliver automation solutions, Drive programs, Coordinate projects, Execute strategy, Align to strategy, Provide direction to team, Make project plans, Create schedules, Organize meetings, Moderate meetings, Coordinate meetings, Document meetings, Align technical decisions, Negotiate with clients, Review changes, Perform administration tasks, Write reports, Ensure project adheres to timeline, Comply with best coding practices, Ensure high quality deliveries, Use NX-Open API's, Prototype solutions, Develop complex solutions, Build projects, Deploy projects, Create Architecture Documentation, Create Specification, Create UI logic, Develop Quick PoC", "teamCollaboration" : "Multiple stakeholders; Technical decisions; Customer communication; Coordinate meetings", "projectManagementSkills" : [ "SDLC", "Agile (Scrum)", "Project plans", "Schedules" ], "domainKnowledge" : "Automotive design; CAD Customization; Siemens NX; NX Modelling; NX Drafting; Architectural patterns; Service oriented architecture; Micro services; Enterprise architecture", "domainList" : [ "automotive-design", "cad-customization", "siemens-nx", "nx-modelling", "nx-drafting", "architectural-patterns", "service-oriented-architecture", "micro-services", "enterprise-architecture" ], "domainSpecificKnowledge" : [ "Automotive design", "CAD Customization", "Siemens NX", "NX Modelling", "NX Drafting", "Architectural patterns", "Service oriented architecture", "Micro services", "Enterprise architecture" ], "toolProficiency" : [ "NXOpen API", "Visual Studio 2019", "Visual Studio 2022", "UIlock Styler", "WPF", "Siemens NX", "JIRA", "Confluence", "KANBO" ], "communicationSkills" : "Excellent Communication Skills; Communication and Moderation", "documentationSkills" : "Architecture Documentation; Specification", "innovationCreativity" : "Innovative Problem Solving", "problemSolvingSkills" : "Analytical and problem solving skills; Innovative Problem Solving", "outcomesObjectives" : "High quality deliveries", "qualificationsBasic" : "3-6 years relevant experience, Experience in CAD/CAE Customization, C# (.NET), VB, C/C++ language experience", "qualificationsPreferred" : "Siemens NX experience preferred", "remoteFriendly" : false, "rawDescription" : "        Job Summary Develop standalone/integrated desktop applications, Macros & Plugins for CAD customization using .NET (C#), VB or other relevant languages. Proficiency in scripting, XML or other configurable file formats Implementation of automation requirement in the area of automotive design in the space of CAD Customization for RD. Involving in requirement gathering to end-to-end delivery of automation, driving program, coordinating projects, executing and aligning to the overall strategy, providing direction to the team, making project plans and schedules. Organizing, moderating, coordinating and documenting meetings/sessions to align technical decisions with multiple stakeholders for areas of responsibility Negotiating with clients and reviewing changes, administration tasks including report writing, and ensuring that the project adheres to the release timeline. Understand and comply with best coding practices to ensure high quality deliveries. Job Responsibility In this role, you will be responsible for: Usage of NX-Open API’s for prototyping, development and complex solutions Build and Deploy projects to test environment Creation of Architecture Documentation and Specification Creation of the UI logic Good knowledge of coding standards Should have participated in, and be familiar with, SDLC and Agile (Scrum) project methodologies Should have basic understanding of Architectural patterns (Service oriented, micro services, enterprise architecture patterns) Development of Quick PoC with latest technologies Strong Knowledge on C#/VB .Net, NX Strong Knowledge on various NX applications like Modelling, Drafting etc. Very good understanding on NXOpen/UFUNC APIs and their functionalities. ·        Good Knowledge on HTML, XML Data Processing and scripting. ·        Good knowledge on AI and deep learning Excellent Communication Skills, Analytical and problem-solving skills. Manage customer communication and Coordinate meetings for technical decisions. Work towards individual goals aligned with department and organizational objectives. Comply with organizational HR policies and procedures. Understand and adhere to organizational HSE policies and practices. DevOps and cloud knowledge Required qualifications Education: B.E., B. Tech, M.E or M. Tech, Mechanical or any related streams from reputed university. 3-6 years of relevant experience Experience in CAD/CAE Customization, Preferably in Siemens NX Language Experience: C# (.NET), VB, C/ C++ Required Technical Know-how Sl.No. Technology/Tool/Language Required Experience Range (in yrs) Expected proficiency (on a scale of 5) 1 NXOpen/ UFUNC API’s 3-6 5 2 C# (.NET), VB, C/ C++, Scripting , XML 3-6 5 3 Visual Studio 2019, 2022 3-6 5 4 UI/Block Styler/WPF 3-6 5 5 Siemens NX: Modelling, Drafting 3-6 4 6 Coding standards 3-6 4 7 JIRA, Confluence, KANBO 0-2 3 8 DevOps, CI/CD 0-2 3 9 Cloud Knowhow 0-2 3 10 Analytical and problem solving skills. 2-4 3 11 AI & Deep learning 0-2 3 Required Behavioral Competencies Sl.No. Competency Expected proficiency (on a scale of 5) 1 Communication and Moderation 5 2 Business and Results Orientation 4 3 Innovative Problem Solving 4 4 Character/Values 4 5 Leadership 3 6 Interpersonal Skills 3 About Engineering IT @ MBRDI Engineering IT is one of the IT departments within MBRDI. The focus of this department is to build innovative software products that would help assist the Engineering and Manufacturing of Mercedes-Benz Cars and Vans. About Mercedes-Benz Research and Development India Headquartered in Bengaluru was founded in 1996 as a captive unit to support Daimler’s research, IT and product development activities. We focus on topics ranging from computer-aided design and simulations (CAD, CAE) for powertrain, chassis and exteriors to embedded systems, telematics and developing various IT applications and tools. The satellite office in Pune specializes in interior component designs and IT engineering. It is now one of the largest global R&D centers outside Germany, employing more than 3000 + skilled engineers. It aims to collaborate closely with suppliers in India for its activities in product development and IT services.                       Job Summary Develop standalone/integrated desktop applications, Macros & Plugins for CAD customization using .NET (C#), VB or other relevant languages. Proficiency in scripting, XML or other configurable file formats Implementation of automation requirement in the area of automotive design in the space of CAD Customization for RD. Involving in requirement gathering to end-to-end delivery of automation, driving program, coordinating projects, executing and aligning to the overall strategy, providing direction to the team, making project plans and schedules. Organizing, moderating, coordinating and documenting meetings/sessions to align technical decisions with multiple stakeholders for areas of responsibility Negotiating with clients and reviewing changes, administration tasks including report writing, and ensuring that the project adheres to the release timeline. Understand and comply with best coding practices to ensure high quality deliveries. Job Responsibility In this role, you will be responsible for: Usage of NX-Open API’s for prototyping, development and complex solutions Build and Deploy projects to test environment Creation of Architecture Documentation and Specification Creation of the UI logic Good knowledge of coding standards Should have participated in, and be familiar with, SDLC and Agile (Scrum) project methodologies Should have basic understanding of Architectural patterns (Service oriented, micro services, enterprise architecture patterns) Development of Quick PoC with latest technologies Strong Knowledge on C#/VB .Net, NX Strong Knowledge on various NX applications like Modelling, Drafting etc. Very good understanding on NXOpen/UFUNC APIs and their functionalities. ·        Good Knowledge on HTML, XML Data Processing and scripting. ·        Good knowledge on AI and deep learning Excellent Communication Skills, Analytical and problem-solving skills. Manage customer communication and Coordinate meetings for technical decisions. Work towards individual goals aligned with department and organizational objectives. Comply with organizational HR policies and procedures. Understand and adhere to organizational HSE policies and practices. DevOps and cloud knowledge Required qualifications Education: B.E., B. Tech, M.E or M. Tech, Mechanical or any related streams from reputed university. 3-6 years of relevant experience Experience in CAD/CAE Customization, Preferably in Siemens NX Language Experience: C# (.NET), VB, C/ C++ Required Technical Know-how Sl.No. Technology/Tool/Language Required Experience Range (in yrs) Expected proficiency (on a scale of 5) 1 NXOpen/ UFUNC API’s 3-6 5 2 C# (.NET), VB, C/ C++, Scripting , XML 3-6 5 3 Visual Studio 2019, 2022 3-6 5 4 UI/Block Styler/WPF 3-6 5 5 Siemens NX: Modelling, Drafting 3-6 4 6 Coding standards 3-6 4 7 JIRA, Confluence, KANBO 0-2 3 8 DevOps, CI/CD 0-2 3 9 Cloud Knowhow 0-2 3 10 Analytical and problem solving skills. 2-4 3 11 AI & Deep learning 0-2 3 Required Behavioral Competencies Sl.No. Competency Expected proficiency (on a scale of 5) 1 Communication and Moderation 5 2 Business and Results Orientation 4 3 Innovative Problem Solving 4 4 Character/Values 4 5 Leadership 3 6 Interpersonal Skills 3 About Engineering IT @ MBRDI Engineering IT is one of the IT departments within MBRDI. The focus of this department is to build innovative software products that would help assist the Engineering and Manufacturing of Mercedes-Benz Cars and Vans. About Mercedes-Benz Research and Development India Headquartered in Bengaluru was founded in 1996 as a captive unit to support Daimler’s research, IT and product development activities. We focus on topics ranging from computer-aided design and simulations (CAD, CAE) for powertrain, chassis and exteriors to embedded systems, telematics and developing various IT applications and tools. The satellite office in Pune specializes in interior component designs and IT engineering. It is now one of the largest global R&D centers outside Germany, employing more than 3000 + skilled engineers. It aims to collaborate closely with suppliers in India for its activities in product development and IT services.               Mercedes-Benz Research and Development India Private Limited", "summaryDescription" : "CAD customization using. NET (C#), VB at Mercedes-Benz Research and Development India. Skills: CAD Customization, NET, NXOpen API, Automation. Develop desktop applications. Develop Macros", "createdAt" : "2026-06-14T18:52:11.122", "lastUpdated" : "2026-06-16T00:30:44.748", "ingestTimestamp" : "2026-06-14T18:52:11.122", "mongoId" : "6a191e7758b93c861e39f7ab", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "NXOpen/UFUNC API", "C# (.NET)", "VB", "C/C++", "Scripting", "XML", "Visual Studio", "UIlock Styler", "WPF", "Siemens NX", "Modelling", "Drafting", "Coding standards", "JIRA", "Confluence", "KANBO", "DevOps", "CI/CD", "Cloud Knowhow", "Analytical", "Problem-solving", "Leadership", "CAD Customization", "NET", "NXOpen API", "Automation", "Requirement gathering", "Project coordination", "Technical decisions", "Report writing", "SDLC", "Agile methodologies", "Architectural patterns", "Quick PoC development", "Agile (Scrum)", "Project plans", "Schedules", "Automotive design", "NX Modelling", "NX Drafting", "Service oriented architecture", "Micro services", "Enterprise architecture", "Visual Studio 2019", "Visual Studio 2022" ], "skillCount" : 45, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Automotive", "llmIndustryConfidence" : 0.95 }, { "id" : "6a306470f292fd229cfa1827", "title" : "AI Architect – Agentic Systems (LLM & Multi-Agent Solutions)", "company" : "Endava", "industry" : "Information Technology And Services", "salary" : { "min" : 1.5E7, "max" : 2.25E7, "currency" : "ARS", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Lead AI Architect in Córdoba, Argentina, adjusted for the technology industry and company size." }, "location" : "Córdoba, Cordoba, AR", "locations" : [ "Córdoba", "Cordoba", "AR" ], "timestamp" : "2026-06-16T08:58:46.632", "fingerprint" : "a3b24c559e683f3f3799d8ee2c2fbcc871bee6c66a05b63e800ab60f0aaa53d9", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/Endava/744000132242409-ai-architect-agentic-systems-llm-multi-agent-solutions-", "externalId" : "744000132242409", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Córdoba", "state" : "Córdoba", "country" : "Argentina", "continent" : "sa", "source" : "llm", "workMode" : "onsite", "geo" : "-31.4166867,-64.1834193" } ], "locationText" : "Córdoba, Córdoba, Argentina", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "technicalSkills" : "Python, AWS, Azure, GCP, LLM, API", "professionalSkills" : [ "System design", "Workflow design", "Orchestration design" ], "hardSkillsList" : [ "Agentic systems", "Multi-agent systems", "LLM systems", "Distributed systems", "RAG architectures", "Transformer architecture", "NLP concepts", "Information retrieval", "Memory strategies", "Context management", "Event-driven systems" ], "hardSkills" : [ { "name" : "Agentic systems", "level" : "intermediate" }, { "name" : "Multi-agent systems", "level" : "intermediate" }, { "name" : "LLM systems", "level" : "intermediate" }, { "name" : "Distributed systems", "level" : "intermediate" }, { "name" : "RAG architectures", "level" : "intermediate" }, { "name" : "Transformer architecture", "level" : "intermediate" }, { "name" : "NLP concepts", "level" : "intermediate" }, { "name" : "Information retrieval", "level" : "intermediate" }, { "name" : "Memory strategies", "level" : "intermediate" }, { "name" : "Context management", "level" : "intermediate" }, { "name" : "Event-driven systems", "level" : "intermediate" } ], "majorSkills" : "Agentic Systems, LLM Solutions, Multi-Agent Systems, System Architecture", "majorSkillsList" : [ "Agentic Systems", "LLM Solutions", "Multi-Agent Systems", "System Architecture" ], "coreResponsibilities" : "Design multi-agent architectures, Define LLM agent interaction, Lead agentic systems, Establish observability, Establish tracing, Establish feedback loops, Establish controls, Define memory strategies, Collaborate with data teams, Collaborate with platform teams, Collaborate with engineering teams, Integrate AI into systems, Guide teams on best practices, Train teams on best practices", "teamCollaboration" : "Data teams; Platform teams; Engineering teams", "domainKnowledge" : "Agentic systems; Multi-agent systems; LLM systems; Distributed systems; RAG architectures; Transformer architecture; NLP concepts; Information retrieval; Memory strategies; Context management; Event-driven systems; Responsible AI", "domainList" : [ "agentic-systems", "multi-agent-systems", "llm-systems", "distributed-systems", "rag-architectures", "transformer-architecture", "nlp-concepts", "information-retrieval", "memory-strategies", "context-management", "event-driven-systems", "responsible-ai" ], "domainSpecificKnowledge" : [ "Agentic systems", "Multi-agent systems", "LLM systems", "Distributed systems", "RAG architectures", "Transformer architecture", "NLP concepts", "Information retrieval", "Memory strategies", "Context management", "Event-driven systems", "Responsible AI" ], "toolProficiency" : [ "LangChain", "Semantic Kernel", "Agent Framework", "CrewAI", "Amazon Bedrock", "Google Vertex AI", "Azure AI Foundry" ], "continuousLearning" : "Internal development programmes; Internal tech communities; Training; Certifications; Coaching; Online learning platforms; Pass-it-on sessions; Workshops", "problemSolvingSkills" : "Reason about model behavior", "qualificationsBasic" : "Software architecture background, Distributed systems background, Hands-on LLM applications, Complex workflows experience, Orchestration systems experience, RAG architectures understanding, Retrieval optimization understanding, Retrieval quality understanding, LLM fundamentals understanding, Transformer architecture grasp, LLM training understanding, LLM behavior understanding, Pretraining vs fine-tuning, Context windows understanding, Hallucinations mitigation understanding, NLP concepts familiarity, Semantic similarity knowledge, Text embeddings knowledge, Vector representations knowledge, Information retrieval principles knowledge, Model behavior reasoning, Multi-agent frameworks experience, Generative AI platforms experience, MCP protocol familiarity, UCP protocol familiarity, A2A protocol familiarity, AP2 protocol familiarity, Tool use experience, Function calling experience, Agent coordination patterns experience, Memory management experience, Context management experience, Cloud experience, Python coding skills, AI integration experience", "qualificationsPreferred" : "LangChain experience, Semantic Kernel experience, Agent Framework experience, CrewAI experience, Custom agent framework experience, Amazon Bedrock experience, Google Vertex AI experience, Azure AI Foundry experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Technology is our how. And people are our why. For over two decades, we have been harnessing technology to drive meaningful change. By combining world-class engineering, industry expertise and a people-centric mindset, we consult and partner with leading brands from various industries to create dynamic platforms and intelligent digital experiences that drive innovation and transform businesses. From prototype to real-world impact - be part of a global shift by doing work that matters. We are looking for a highly skilled and hands-on AI Architect to design and lead the implementation of multi-agent (agentic) systems in enterprise environments. This is not a prompt engineering or chatbot role. We are focused on building production-grade AI systems, where multiple agents collaborate, reason, and execute complex workflows integrated with real business processes. Key Responsibilities * Design multi-agent architectures (task decomposition, orchestration, coordination patterns) * Define how LLM-powered agents interact with: * Enterprise data platforms * APIs and tools * Operational workflows * Lead agentic systems from PoC to production with model, cost, security, privacy, and responsible AI guardrails * Establish observability, tracing, feedback loops, and controls for agent behavior * Define memory strategies (short-term, long-term, contextual grounding) * Collaborate with data, platform, and engineering teams to integrate AI into core systems * Guide and train teams on best practices for scalable and reliable AI systems ## Qualifications What We’re Looking For Core Experience * Strong background in software architecture and distributed systems * Hands-on experience building complex LLM-based applications * Experience designing complex workflows or orchestration systems * Solid understanding of RAG architectures, retrieval optimization, and retrieval quality LLM & AI Foundations * Strong understanding of Large Language Model (LLM) fundamentals, not just usage * Solid grasp of Transformer architecture (attention mechanisms, embeddings, tokenization) * Understanding of how LLMs are trained and behave: * Pretraining vs fine-tuning vs instruction tuning * Context windows and limitations * Hallucinations and mitigation strategies * Familiarity with NLP concepts: * Semantic similarity * Text embeddings and vector representations * Information retrieval principles * Ability to reason about model behavior and limitations, not treat LLMs as black boxes Agentic / AI-Specific * Experience with multi-agent frameworks (LangChain, Semantic Kernel, Agent Framework, CrewAI, or custom) * Experience on platforms for managing the lifecycle of generative AI applications and agents like Amazon Bedrock (AWS), Google Vertex AI (GCP) or Azure AI Foundry * Familiarity with protocols like: MCP, UCP, A2A, AP2 * Familiarity with: * Tool use / function calling * Agent coordination patterns * Memory and context management * Experience evaluating and improving LLM reliability and accuracy Engineering & Platform * Cloud experience (AWS, Azure, or GCP) * Strong coding skills (Python preferred) * Experience integrating AI with enterprise systems (APIs, data platforms, event-driven systems) What Makes This Role Different * Focus on systems, not isolated models * Real enterprise use cases, not experimental demos * Opportunity to define architecture patterns for agentic systems * Work at the intersection of AI, data, and distributed systems ## Additional Information Discover some of the global benefits that empower our people to become the best version of themselves: * Finance: Competitive salary package, share plan, company performance bonuses, value-based recognition awards, referral bonus; * Career Development: Career coaching, global career opportunities, non-linear career paths, internal development programmes for management and technical leadership; * Learning Opportunities: Complex projects, rotations, internal tech communities, training, certifications, coaching, online learning platforms subscriptions, pass-it-on sessions, workshops, conferences; * Work-Life Balance: Hybrid work and flexible working hours, employee assistance programme; * Health: Global internal wellbeing programme, access to wellbeing apps; * Community: Global internal tech communities, hobby clubs and interest groups, inclusion and diversity programmes, events and celebrations. At Endava, we’re committed to creating an open, inclusive, and respectful environment where everyone feels safe, valued, and empowered to be their best. We welcome applications from people of all backgrounds, experiences, and perspectives—because we know that inclusive teams help us deliver smarter, more innovative solutions for our customers. Hiring decisions are based on merit, skills, qualifications, and potential. If you need adjustments or support during the recruitment process, please let us know.", "summaryDescription" : "AI Architect – Agentic Systems (LLM & Multi-Agent Solutions) at Endava. Skills: Agentic Systems, LLM Solutions, Multi-Agent Systems, System Architecture. Design multi-agent architectures. Define LLM agent interaction", "postedDate" : "2026-06-15T16:08:43.000", "createdAt" : "2026-06-16T00:13:03.799", "lastUpdated" : "2026-06-16T08:58:46.632", "ingestTimestamp" : "2026-06-16T00:13:03.799", "mongoId" : "6a306470f292fd229cfa1827", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Agentic systems", "Multi-agent systems", "LLM systems", "Distributed systems", "RAG architectures", "Transformer architecture", "NLP concepts", "Information retrieval", "Memory strategies", "Context management", "Event-driven systems", "Agentic Systems", "LLM Solutions", "Multi-Agent Systems", "System Architecture", "System design", "Workflow design", "Orchestration design", "Responsible AI", "LangChain", "Semantic Kernel", "Agent Framework", "CrewAI", "Amazon Bedrock", "Google Vertex AI", "Azure AI Foundry" ], "skillCount" : 26, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Lead", 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"industryFunction" : { }, "structuredLocations" : [ { "city" : "Córdoba", "state" : "Córdoba", "country" : "Argentina", "continent" : "sa", "source" : "llm", "workMode" : "onsite", "geo" : "-31.4166867,-64.1834193" } ], "locationText" : "Córdoba, Córdoba, Argentina", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "technicalSkills" : "Python, AWS, Azure, GCP, LLM, RAG, NLP, Transformer architecture, LangChain, Semantic Kernel, Agent Framework, CrewAI", "professionalSkills" : [ "System design", "Workflow design", "Orchestration design", "Agent coordination", "Memory strategy", "Context management", "Model integration", "Cost management", "Security management", "Privacy management", "Responsible AI" ], "hardSkillsList" : [ "Distributed systems", "LLM applications", "Complex workflows", "Orchestration systems", "RAG architectures", "Retrieval optimization", "Retrieval quality", "LLM fundamentals", "Transformer architecture", "LLM training", "LLM behavior", "Pretraining", "Fine-tuning", "Instruction tuning", "Context windows", "Hallucinations mitigation", "NLP concepts", "Semantic similarity", "Text embeddings", "Vector representations", "Information retrieval", "Model behavior reasoning", "Multi-agent frameworks", "Generative AI applications", "Agent lifecycle management", "Tool use", "Function calling", "Agent coordination patterns", "Memory management", "Context management", "Cloud platforms", "Python coding", "Enterprise systems integration", "API integration", "Data platform integration", "Event-driven systems integration" ], "hardSkills" : [ { "name" : "Distributed systems", "level" : "intermediate" }, { "name" : "LLM applications", "level" : "intermediate" }, { "name" : "Complex workflows", "level" : "intermediate" }, { "name" : "Orchestration systems", "level" : "intermediate" }, { "name" : "RAG architectures", "level" : "intermediate" }, { "name" : "Retrieval optimization", "level" : "intermediate" }, { "name" : "Retrieval quality", "level" : "intermediate" }, { "name" : "LLM fundamentals", "level" : "intermediate" }, { "name" : "Transformer architecture", "level" : "intermediate" }, { "name" : "LLM training", "level" : "intermediate" }, { "name" : "LLM behavior", "level" : "intermediate" }, { "name" : "Pretraining", "level" : "intermediate" }, { "name" : "Fine-tuning", "level" : "intermediate" }, { "name" : "Instruction tuning", "level" : "intermediate" }, { "name" : "Context windows", "level" : "intermediate" }, { "name" : "Hallucinations mitigation", "level" : "intermediate" }, { "name" : "NLP concepts", "level" : "intermediate" }, { "name" : "Semantic similarity", "level" : "intermediate" }, { "name" : "Text embeddings", "level" : "intermediate" }, { "name" : "Vector representations", "level" : "intermediate" }, { "name" : "Information retrieval", "level" : "intermediate" }, { "name" : "Model behavior reasoning", "level" : "intermediate" }, { "name" : "Multi-agent frameworks", "level" : "intermediate" }, { "name" : "Generative AI applications", "level" : "intermediate" }, { "name" : "Agent lifecycle management", "level" : "intermediate" }, { "name" : "Tool use", "level" : "intermediate" }, { "name" : "Function calling", "level" : "intermediate" }, { "name" : "Agent coordination patterns", "level" : "intermediate" }, { "name" : "Memory management", "level" : "intermediate" }, { "name" : "Context management", "level" : "intermediate" }, { "name" : "Cloud platforms", "level" : "intermediate" }, { "name" : "Python coding", "level" : "intermediate" }, { "name" : "Enterprise systems integration", "level" : "intermediate" }, { "name" : "API integration", "level" : "intermediate" }, { "name" : "Data platform integration", "level" : "intermediate" }, { "name" : "Event-driven systems integration", "level" : "intermediate" } ], "majorSkills" : "Agentic Systems, LLM, Multi-Agent Solutions, System Architecture", "majorSkillsList" : [ "Agentic Systems", "LLM", "Multi-Agent Solutions", "System Architecture" ], "coreResponsibilities" : "Design multi-agent architectures, Define LLM-powered agent interaction, Lead agentic systems from PoC to production, Establish observability for agent behavior, Establish tracing for agent behavior, Establish feedback loops for agent behavior, Establish controls for agent behavior, Define memory strategies, Collaborate with data teams, Collaborate with platform teams, Collaborate with engineering teams, Integrate AI into core systems, Guide teams on AI best practices, Train teams on AI best practices", "teamCollaboration" : "Data teams; Platform teams; Engineering teams", "domainKnowledge" : "Agentic systems; LLM; Multi-agent systems; Distributed systems; Enterprise data platforms; APIs; Operational workflows; Model lifecycle; Cost management; Security; Privacy; Responsible AI; Observability; Tracing; Feedback loops; Memory strategies; Contextual grounding; Transformer architecture; Attention mechanisms; Embeddings; Tokenization; Pretraining; Fine-tuning; Instruction tuning; Context windows; Hallucinations; NLP concepts; Semantic similarity; Text embeddings; Vector representations; Information retrieval; Tool use; Function calling; Agent coordination patterns; Memory management; Context management; Cloud platforms; Event-driven systems", "domainList" : [ "agentic-systems", "llm", "multi-agent-systems", "distributed-systems", "enterprise-data-platforms", "apis", "operational-workflows", "model-lifecycle", "cost-management", "security", "privacy", "responsible-ai", "observability", "tracing", "feedback-loops", "memory-strategies", "contextual-grounding", "transformer-architecture", "attention-mechanisms", "embeddings", "tokenization", "pretraining", "fine-tuning", "instruction-tuning", "context-windows", "hallucinations", "nlp-concepts", "semantic-similarity", "text-embeddings", "vector-representations", "information-retrieval", "tool-use", "function-calling", "agent-coordination-patterns", "memory-management", "context-management", "cloud-platforms", "event-driven-systems" ], "domainSpecificKnowledge" : [ "Agentic systems", "LLM", "Multi-agent systems", "Distributed systems", "Enterprise data platforms", "APIs", "Operational workflows", "Model lifecycle", "Cost management", "Security", "Privacy", "Responsible AI", "Observability", "Tracing", "Feedback loops", "Memory strategies", "Contextual grounding", "Transformer architecture", "Attention mechanisms", "Embeddings", "Tokenization", "Pretraining", "Fine-tuning", "Instruction tuning", "Context windows", "Hallucinations", "NLP concepts", "Semantic similarity", "Text embeddings", "Vector representations", "Information retrieval", "Tool use", "Function calling", "Agent coordination patterns", "Memory management", "Context management", "Cloud platforms", "Event-driven systems" ], "toolProficiency" : [ "LangChain", "Semantic Kernel", "Agent Framework", "CrewAI", "Amazon Bedrock", "Google Vertex AI", "Azure AI Foundry" ], "continuousLearning" : "Internal development programmes; Internal tech communities; Training; Certifications; Coaching; Online learning platforms; Pass-it-on sessions; Workshops", "problemSolvingSkills" : "Reason about model behavior", "qualificationsBasic" : "Software architecture background, Distributed systems background, Hands-on LLM applications, Complex workflows experience, Orchestration systems experience, RAG architectures understanding, Retrieval optimization understanding, Retrieval quality understanding, LLM fundamentals understanding, Transformer architecture grasp, LLM training understanding, LLM behavior understanding, Pretraining vs fine-tuning, Context windows understanding, Hallucinations mitigation understanding, NLP concepts understanding, Semantic similarity understanding, Text embeddings understanding, Vector representations understanding, Information retrieval principles, Model behavior reasoning, Multi-agent frameworks experience, Generative AI platforms experience, MCP protocol familiarity, UCP protocol familiarity, A2A protocol familiarity, AP2 protocol familiarity, Tool use familiarity, Function calling familiarity, Agent coordination patterns familiarity, Memory management familiarity, Context management familiarity, Cloud experience, Python coding skills, AI enterprise systems integration", "qualificationsPreferred" : "LangChain experience, Semantic Kernel experience, Agent Framework experience, CrewAI experience, Custom agent framework experience, Amazon Bedrock experience, Google Vertex AI experience, Azure AI Foundry experience, AWS experience, Azure experience, GCP experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Technology is our how. And people are our why. For over two decades, we have been harnessing technology to drive meaningful change. By combining world-class engineering, industry expertise and a people-centric mindset, we consult and partner with leading brands from various industries to create dynamic platforms and intelligent digital experiences that drive innovation and transform businesses. From prototype to real-world impact - be part of a global shift by doing work that matters. We are looking for a highly skilled and hands-on AI Architect to design and lead the implementation of multi-agent (agentic) systems in enterprise environments. This is not a prompt engineering or chatbot role. We are focused on building production-grade AI systems, where multiple agents collaborate, reason, and execute complex workflows integrated with real business processes. Key Responsibilities * Design multi-agent architectures (task decomposition, orchestration, coordination patterns) * Define how LLM-powered agents interact with: * Enterprise data platforms * APIs and tools * Operational workflows * Lead agentic systems from PoC to production with model, cost, security, privacy, and responsible AI guardrails * Establish observability, tracing, feedback loops, and controls for agent behavior * Define memory strategies (short-term, long-term, contextual grounding) * Collaborate with data, platform, and engineering teams to integrate AI into core systems * Guide and train teams on best practices for scalable and reliable AI systems ## Qualifications What We’re Looking For Core Experience * Strong background in software architecture and distributed systems * Hands-on experience building complex LLM-based applications * Experience designing complex workflows or orchestration systems * Solid understanding of RAG architectures, retrieval optimization, and retrieval quality LLM & AI Foundations * Strong understanding of Large Language Model (LLM) fundamentals, not just usage * Solid grasp of Transformer architecture (attention mechanisms, embeddings, tokenization) * Understanding of how LLMs are trained and behave: * Pretraining vs fine-tuning vs instruction tuning * Context windows and limitations * Hallucinations and mitigation strategies * Familiarity with NLP concepts: * Semantic similarity * Text embeddings and vector representations * Information retrieval principles * Ability to reason about model behavior and limitations, not treat LLMs as black boxes Agentic / AI-Specific * Experience with multi-agent frameworks (LangChain, Semantic Kernel, Agent Framework, CrewAI, or custom) * Experience on platforms for managing the lifecycle of generative AI applications and agents like Amazon Bedrock (AWS), Google Vertex AI (GCP) or Azure AI Foundry * Familiarity with protocols like: MCP, UCP, A2A, AP2 * Familiarity with: * Tool use / function calling * Agent coordination patterns * Memory and context management * Experience evaluating and improving LLM reliability and accuracy Engineering & Platform * Cloud experience (AWS, Azure, or GCP) * Strong coding skills (Python preferred) * Experience integrating AI with enterprise systems (APIs, data platforms, event-driven systems) What Makes This Role Different * Focus on systems, not isolated models * Real enterprise use cases, not experimental demos * Opportunity to define architecture patterns for agentic systems * Work at the intersection of AI, data, and distributed systems ## Additional Information Discover some of the global benefits that empower our people to become the best version of themselves: * Finance: Competitive salary package, share plan, company performance bonuses, value-based recognition awards, referral bonus; * Career Development: Career coaching, global career opportunities, non-linear career paths, internal development programmes for management and technical leadership; * Learning Opportunities: Complex projects, rotations, internal tech communities, training, certifications, coaching, online learning platforms subscriptions, pass-it-on sessions, workshops, conferences; * Work-Life Balance: Hybrid work and flexible working hours, employee assistance programme; * Health: Global internal wellbeing programme, access to wellbeing apps; * Community: Global internal tech communities, hobby clubs and interest groups, inclusion and diversity programmes, events and celebrations. At Endava, we’re committed to creating an open, inclusive, and respectful environment where everyone feels safe, valued, and empowered to be their best. We welcome applications from people of all backgrounds, experiences, and perspectives—because we know that inclusive teams help us deliver smarter, more innovative solutions for our customers. Hiring decisions are based on merit, skills, qualifications, and potential. If you need adjustments or support during the recruitment process, please let us know.", "summaryDescription" : "AI Architect – Agentic Systems (LLM & Multi-Agent Solutions) at Endava. Skills: Agentic Systems, LLM, Multi-Agent Solutions, System Architecture. Design multi-agent architectures. Define LLM-powered agent interaction", "postedDate" : "2026-06-15T16:08:43.000", "createdAt" : "2026-06-15T23:31:23.754", "lastUpdated" : "2026-06-16T09:21:00.770", "ingestTimestamp" : "2026-06-15T23:31:23.754", "mongoId" : "6a30544ff292fd229cf17215", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Distributed systems", "LLM applications", "Complex workflows", "Orchestration systems", "RAG architectures", "Retrieval optimization", "Retrieval quality", "LLM fundamentals", "Transformer architecture", "LLM training", "LLM behavior", "Pretraining", "Fine-tuning", "Instruction tuning", "Context windows", "Hallucinations mitigation", "NLP concepts", "Semantic similarity", "Text embeddings", "Vector representations", "Information retrieval", "Model behavior reasoning", "Multi-agent frameworks", "Generative AI applications", "Agent lifecycle management", "Tool use", "Function calling", "Agent coordination 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"https://jobs.smartrecruiters.com/Endava/744000132242089-ai-architect-agentic-systems-llm-multi-agent-solutions-", "externalId" : "744000132242089", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Rosario", "state" : "Santa Fe", "country" : "Argentina", "continent" : "sa", "source" : "llm", "workMode" : "onsite", "geo" : "-32.9593609,-60.6617024" } ], "locationText" : "Rosario, Santa Fe, Argentina", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "technicalSkills" : "Python, AWS, Azure, GCP, LLM, RAG, NLP, Transformer, Vector representations", "professionalSkills" : [ "System design", "Architecture design", "Workflow design", "Orchestration design" ], "hardSkillsList" : [ "Agentic systems", "Multi-agent systems", "LLM applications", "Distributed systems", "Cloud platforms", "API integration", "Data platforms", "Event-driven systems", "Model training", "Fine-tuning", "Instruction tuning", "Context windows", 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And people are our why. For over two decades, we have been harnessing technology to drive meaningful change. By combining world-class engineering, industry expertise and a people-centric mindset, we consult and partner with leading brands from various industries to create dynamic platforms and intelligent digital experiences that drive innovation and transform businesses. From prototype to real-world impact - be part of a global shift by doing work that matters. We are looking for a highly skilled and hands-on AI Architect to design and lead the implementation of multi-agent (agentic) systems in enterprise environments. This is not a prompt engineering or chatbot role. We are focused on building production-grade AI systems, where multiple agents collaborate, reason, and execute complex workflows integrated with real business processes. Key Responsibilities * Design multi-agent architectures (task decomposition, orchestration, coordination patterns) * Define how LLM-powered agents interact with: * Enterprise data platforms * APIs and tools * Operational workflows * Lead agentic systems from PoC to production with model, cost, security, privacy, and responsible AI guardrails * Establish observability, tracing, feedback loops, and controls for agent behavior * Define memory strategies (short-term, long-term, contextual grounding) * Collaborate with data, platform, and engineering teams to integrate AI into core systems * Guide and train teams on best practices for scalable and reliable AI systems ## Qualifications What We’re Looking For Core Experience * Strong background in software architecture and distributed systems * Hands-on experience building complex LLM-based applications * Experience designing complex workflows or orchestration systems * Solid understanding of RAG architectures, retrieval optimization, and retrieval quality LLM & AI Foundations * Strong understanding of Large Language Model (LLM) fundamentals, not just usage * Solid grasp of Transformer architecture (attention mechanisms, embeddings, tokenization) * Understanding of how LLMs are trained and behave: * Pretraining vs fine-tuning vs instruction tuning * Context windows and limitations * Hallucinations and mitigation strategies * Familiarity with NLP concepts: * Semantic similarity * Text embeddings and vector representations * Information retrieval principles * Ability to reason about model behavior and limitations, not treat LLMs as black boxes Agentic / AI-Specific * Experience with multi-agent frameworks (LangChain, Semantic Kernel, Agent Framework, CrewAI, or custom) * Experience on platforms for managing the lifecycle of generative AI applications and agents like Amazon Bedrock (AWS), Google Vertex AI (GCP) or Azure AI Foundry * Familiarity with protocols like: MCP, UCP, A2A, AP2 * Familiarity with: * Tool use / function calling * Agent coordination patterns * Memory and context management * Experience evaluating and improving LLM reliability and accuracy Engineering & Platform * Cloud experience (AWS, Azure, or GCP) * Strong coding skills (Python preferred) * Experience integrating AI with enterprise systems (APIs, data platforms, event-driven systems) What Makes This Role Different * Focus on systems, not isolated models * Real enterprise use cases, not experimental demos * Opportunity to define architecture patterns for agentic systems * Work at the intersection of AI, data, and distributed systems ## Additional Information Discover some of the global benefits that empower our people to become the best version of themselves: * Finance: Competitive salary package, share plan, company performance bonuses, value-based recognition awards, referral bonus; * Career Development: Career coaching, global career opportunities, non-linear career paths, internal development programmes for management and technical leadership; * Learning Opportunities: Complex projects, rotations, internal tech communities, training, certifications, coaching, online learning platforms subscriptions, pass-it-on sessions, workshops, conferences; * Work-Life Balance: Hybrid work and flexible working hours, employee assistance programme; * Health: Global internal wellbeing programme, access to wellbeing apps; * Community: Global internal tech communities, hobby clubs and interest groups, inclusion and diversity programmes, events and celebrations. At Endava, we’re committed to creating an open, inclusive, and respectful environment where everyone feels safe, valued, and empowered to be their best. We welcome applications from people of all backgrounds, experiences, and perspectives—because we know that inclusive teams help us deliver smarter, more innovative solutions for our customers. Hiring decisions are based on merit, skills, qualifications, and potential. If you need adjustments or support during the recruitment process, please let us know.", "summaryDescription" : "AI Architect – Agentic Systems (LLM & Multi-Agent Solutions) at Endava. Skills: Agentic Systems, LLM, Multi-agent Solutions, Distributed Systems. Design multi-agent architectures. 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Fe, AR", "locations" : [ "Rosario", "Santa Fe", "AR" ], "timestamp" : "2026-06-16T07:08:46.129", "fingerprint" : "a97fece42ebeae8c8bdf77d19b1f097b52a1e4bc171906ab93c36761399a530e", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/Endava/744000132242089-ai-architect-agentic-systems-llm-multi-agent-solutions-", "externalId" : "744000132242089", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Rosario", "state" : "Santa Fe", "country" : "Argentina", "continent" : "sa", "source" : "llm", "workMode" : "onsite", "geo" : "-32.9593609,-60.6617024" } ], "locationText" : "Rosario, Santa Fe, Argentina", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "technicalSkills" : "LLM, Python, AWS, Azure, GCP, LangChain, Semantic Kernel, Agent Framework, CrewAI", "professionalSkills" : [ "System design", "Architecture design" ], "hardSkillsList" : [ "Agentic systems", "Multi-agent 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}, { "name" : "Context windows", "level" : "intermediate" }, { "name" : "Hallucinations mitigation", "level" : "intermediate" }, { "name" : "Semantic similarity", "level" : "intermediate" }, { "name" : "Text embeddings", "level" : "intermediate" }, { "name" : "Vector representations", "level" : "intermediate" }, { "name" : "Information retrieval", "level" : "intermediate" } ], "majorSkills" : "Agentic systems, LLM, Multi-agent systems, System architecture", "majorSkillsList" : [ "Agentic systems", "LLM", "Multi-agent systems", "System architecture" ], "coreResponsibilities" : "Design multi-agent architectures, Define LLM agent interaction, Lead agentic systems from PoC to production, Establish observability for agent behavior, Establish tracing for agent behavior, Establish feedback loops for agent behavior, Establish controls for agent behavior, Define memory strategies, Collaborate with data teams, Collaborate with platform teams, Collaborate with engineering teams, Integrate AI into core systems, Guide teams on AI best practices, Train teams on AI best practices", "teamCollaboration" : "Data teams; Platform teams; Engineering teams", "domainKnowledge" : "Distributed systems; Agentic systems; Multi-agent systems; Enterprise data platforms; Business processes; Responsible AI; Transformer architecture; NLP concepts; Event-driven systems", "domainList" : [ "distributed-systems", "agentic-systems", "multi-agent-systems", "enterprise-data-platforms", "business-processes", "responsible-ai", "transformer-architecture", "nlp-concepts", "event-driven-systems" ], "domainSpecificKnowledge" : [ "Distributed systems", "Agentic systems", "Multi-agent systems", "Enterprise data platforms", "Business processes", "Responsible AI", "Transformer architecture", "NLP concepts", "Event-driven systems" ], "toolProficiency" : [ "Amazon Bedrock", "Google Vertex AI", "Azure AI Foundry" ], "continuousLearning" : "Internal development programmes; Internal tech communities; Training; Certifications; Online learning platforms", "innovationCreativity" : "Prototype development", "problemSolvingSkills" : "Root cause analysis", "qualificationsBasic" : "Software architecture background, Distributed systems background, Hands-on LLM application building, Complex workflow design experience, Orchestration system design experience, RAG architecture understanding, Retrieval optimization understanding, Retrieval quality understanding, LLM fundamentals understanding, Transformer architecture grasp, LLM training and behavior understanding, NLP concepts familiarity, Model behavior reasoning ability, Multi-agent framework experience, Generative AI application platform experience, Cloud experience (AWS, Azure, or GCP), Python coding skills, AI integration with enterprise systems", "qualificationsPreferred" : "Prompt engineering experience, Chatbot role experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Technology is our how. And people are our why. For over two decades, we have been harnessing technology to drive meaningful change. By combining world-class engineering, industry expertise and a people-centric mindset, we consult and partner with leading brands from various industries to create dynamic platforms and intelligent digital experiences that drive innovation and transform businesses. From prototype to real-world impact - be part of a global shift by doing work that matters. We are looking for a highly skilled and hands-on AI Architect to design and lead the implementation of multi-agent (agentic) systems in enterprise environments. This is not a prompt engineering or chatbot role. We are focused on building production-grade AI systems, where multiple agents collaborate, reason, and execute complex workflows integrated with real business processes. Key Responsibilities * Design multi-agent architectures (task decomposition, orchestration, coordination patterns) * Define how LLM-powered agents interact with: * Enterprise data platforms * APIs and tools * Operational workflows * Lead agentic systems from PoC to production with model, cost, security, privacy, and responsible AI guardrails * Establish observability, tracing, feedback loops, and controls for agent behavior * Define memory strategies (short-term, long-term, contextual grounding) * Collaborate with data, platform, and engineering teams to integrate AI into core systems * Guide and train teams on best practices for scalable and reliable AI systems ## Qualifications What We’re Looking For Core Experience * Strong background in software architecture and distributed systems * Hands-on experience building complex LLM-based applications * Experience designing complex workflows or orchestration systems * Solid understanding of RAG architectures, retrieval optimization, and retrieval quality LLM & AI Foundations * Strong understanding of Large Language Model (LLM) fundamentals, not just usage * Solid grasp of Transformer architecture (attention mechanisms, embeddings, tokenization) * Understanding of how LLMs are trained and behave: * Pretraining vs fine-tuning vs instruction tuning * Context windows and limitations * Hallucinations and mitigation strategies * Familiarity with NLP concepts: * Semantic similarity * Text embeddings and vector representations * Information retrieval principles * Ability to reason about model behavior and limitations, not treat LLMs as black boxes Agentic / AI-Specific * Experience with multi-agent frameworks (LangChain, Semantic Kernel, Agent Framework, CrewAI, or custom) * Experience on platforms for managing the lifecycle of generative AI applications and agents like Amazon Bedrock (AWS), Google Vertex AI (GCP) or Azure AI Foundry * Familiarity with protocols like: MCP, UCP, A2A, AP2 * Familiarity with: * Tool use / function calling * Agent coordination patterns * Memory and context management * Experience evaluating and improving LLM reliability and accuracy Engineering & Platform * Cloud experience (AWS, Azure, or GCP) * Strong coding skills (Python preferred) * Experience integrating AI with enterprise systems (APIs, data platforms, event-driven systems) What Makes This Role Different * Focus on systems, not isolated models * Real enterprise use cases, not experimental demos * Opportunity to define architecture patterns for agentic systems * Work at the intersection of AI, data, and distributed systems ## Additional Information Discover some of the global benefits that empower our people to become the best version of themselves: * Finance: Competitive salary package, share plan, company performance bonuses, value-based recognition awards, referral bonus; * Career Development: Career coaching, global career opportunities, non-linear career paths, internal development programmes for management and technical leadership; * Learning Opportunities: Complex projects, rotations, internal tech communities, training, certifications, coaching, online learning platforms subscriptions, pass-it-on sessions, workshops, conferences; * Work-Life Balance: Hybrid work and flexible working hours, employee assistance programme; * Health: Global internal wellbeing programme, access to wellbeing apps; * Community: Global internal tech communities, hobby clubs and interest groups, inclusion and diversity programmes, events and celebrations. At Endava, we’re committed to creating an open, inclusive, and respectful environment where everyone feels safe, valued, and empowered to be their best. We welcome applications from people of all backgrounds, experiences, and perspectives—because we know that inclusive teams help us deliver smarter, more innovative solutions for our customers. Hiring decisions are based on merit, skills, qualifications, and potential. If you need adjustments or support during the recruitment process, please let us know.", "summaryDescription" : "AI Architect – Agentic Systems (LLM & Multi-Agent Solutions) at Endava. Skills: Agentic systems, LLM, Multi-agent systems, System architecture. Design multi-agent architectures. 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: "Onsite", "rawDescription" : "Technology is our how. And people are our why. For over two decades, we have been harnessing technology to drive meaningful change. By combining world-class engineering, industry expertise and a people-centric mindset, we consult and partner with leading brands from various industries to create dynamic platforms and intelligent digital experiences that drive innovation and transform businesses. From prototype to real-world impact - be part of a global shift by doing work that matters. We are looking for a highly skilled and hands-on AI Architect to design and lead the implementation of multi-agent (agentic) systems in enterprise environments. This is not a prompt engineering or chatbot role. We are focused on building production-grade AI systems, where multiple agents collaborate, reason, and execute complex workflows integrated with real business processes. Key Responsibilities * Design multi-agent architectures (task decomposition, orchestration, coordination patterns) * Define how LLM-powered agents interact with: * Enterprise data platforms * APIs and tools * Operational workflows * Lead agentic systems from PoC to production with model, cost, security, privacy, and responsible AI guardrails * Establish observability, tracing, feedback loops, and controls for agent behavior * Define memory strategies (short-term, long-term, contextual grounding) * Collaborate with data, platform, and engineering teams to integrate AI into core systems * Guide and train teams on best practices for scalable and reliable AI systems ## Qualifications What We’re Looking For Core Experience * Strong background in software architecture and distributed systems * Hands-on experience building complex LLM-based applications * Experience designing complex workflows or orchestration systems * Solid understanding of RAG architectures, retrieval optimization, and retrieval quality LLM & AI Foundations * Strong understanding of Large Language Model (LLM) fundamentals, not just usage * Solid grasp of Transformer architecture (attention mechanisms, embeddings, tokenization) * Understanding of how LLMs are trained and behave: * Pretraining vs fine-tuning vs instruction tuning * Context windows and limitations * Hallucinations and mitigation strategies * Familiarity with NLP concepts: * Semantic similarity * Text embeddings and vector representations * Information retrieval principles * Ability to reason about model behavior and limitations, not treat LLMs as black boxes Agentic / AI-Specific * Experience with multi-agent frameworks (LangChain, Semantic Kernel, Agent Framework, CrewAI, or custom) * Experience on platforms for managing the lifecycle of generative AI applications and agents like Amazon Bedrock (AWS), Google Vertex AI (GCP) or Azure AI Foundry * Familiarity with protocols like: MCP, UCP, A2A, AP2 * Familiarity with: * Tool use / function calling * Agent coordination patterns * Memory and context management * Experience evaluating and improving LLM reliability and accuracy Engineering & Platform * Cloud experience (AWS, Azure, or GCP) * Strong coding skills (Python preferred) * Experience integrating AI with enterprise systems (APIs, data platforms, event-driven systems) What Makes This Role Different * Focus on systems, not isolated models * Real enterprise use cases, not experimental demos * Opportunity to define architecture patterns for agentic systems * Work at the intersection of AI, data, and distributed systems ## Additional Information Discover some of the global benefits that empower our people to become the best version of themselves: * Finance: Competitive salary package, share plan, company performance bonuses, value-based recognition awards, referral bonus; * Career Development: Career coaching, global career opportunities, non-linear career paths, internal development programmes for management and technical leadership; * Learning Opportunities: Complex projects, rotations, internal tech communities, training, certifications, coaching, online learning platforms subscriptions, pass-it-on sessions, workshops, conferences; * Work-Life Balance: Hybrid work and flexible working hours, employee assistance programme; * Health: Global internal wellbeing programme, access to wellbeing apps; * Community: Global internal tech communities, hobby clubs and interest groups, inclusion and diversity programmes, events and celebrations. At Endava, we’re committed to creating an open, inclusive, and respectful environment where everyone feels safe, valued, and empowered to be their best. We welcome applications from people of all backgrounds, experiences, and perspectives—because we know that inclusive teams help us deliver smarter, more innovative solutions for our customers. Hiring decisions are based on merit, skills, qualifications, and potential. If you need adjustments or support during the recruitment process, please let us know.", "summaryDescription" : "AI Architect – Agentic Systems (LLM & Multi-Agent Solutions) at Endava. Skills: Agentic systems, LLM systems, Multi-agent systems, Distributed systems. Design multi-agent architectures. 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And people are our why. For over two decades, we have been harnessing technology to drive meaningful change. By combining world-class engineering, industry expertise and a people-centric mindset, we consult and partner with leading brands from various industries to create dynamic platforms and intelligent digital experiences that drive innovation and transform businesses. From prototype to real-world impact - be part of a global shift by doing work that matters. We are looking for a highly skilled and hands-on AI Architect to design and lead the implementation of multi-agent (agentic) systems in enterprise environments. This is not a prompt engineering or chatbot role. We are focused on building production-grade AI systems, where multiple agents collaborate, reason, and execute complex workflows integrated with real business processes. Key Responsibilities * Design multi-agent architectures (task decomposition, orchestration, coordination patterns) * Define how LLM-powered agents interact with: * Enterprise data platforms * APIs and tools * Operational workflows * Lead agentic systems from PoC to production with model, cost, security, privacy, and responsible AI guardrails * Establish observability, tracing, feedback loops, and controls for agent behavior * Define memory strategies (short-term, long-term, contextual grounding) * Collaborate with data, platform, and engineering teams to integrate AI into core systems * Guide and train teams on best practices for scalable and reliable AI systems ## Qualifications What We’re Looking For Core Experience * Strong background in software architecture and distributed systems * Hands-on experience building complex LLM-based applications * Experience designing complex workflows or orchestration systems * Solid understanding of RAG architectures, retrieval optimization, and retrieval quality LLM & AI Foundations * Strong understanding of Large Language Model (LLM) fundamentals, not just usage * Solid grasp of Transformer architecture (attention mechanisms, embeddings, tokenization) * Understanding of how LLMs are trained and behave: * Pretraining vs fine-tuning vs instruction tuning * Context windows and limitations * Hallucinations and mitigation strategies * Familiarity with NLP concepts: * Semantic similarity * Text embeddings and vector representations * Information retrieval principles * Ability to reason about model behavior and limitations, not treat LLMs as black boxes Agentic / AI-Specific * Experience with multi-agent frameworks (LangChain, Semantic Kernel, Agent Framework, CrewAI, or custom) * Experience on platforms for managing the lifecycle of generative AI applications and agents like Amazon Bedrock (AWS), Google Vertex AI (GCP) or Azure AI Foundry * Familiarity with protocols like: MCP, UCP, A2A, AP2 * Familiarity with: * Tool use / function calling * Agent coordination patterns * Memory and context management * Experience evaluating and improving LLM reliability and accuracy Engineering & Platform * Cloud experience (AWS, Azure, or GCP) * Strong coding skills (Python preferred) * Experience integrating AI with enterprise systems (APIs, data platforms, event-driven systems) What Makes This Role Different * Focus on systems, not isolated models * Real enterprise use cases, not experimental demos * Opportunity to define architecture patterns for agentic systems * Work at the intersection of AI, data, and distributed systems ## Additional Information Discover some of the global benefits that empower our people to become the best version of themselves: * Finance: Competitive salary package, share plan, company performance bonuses, value-based recognition awards, referral bonus; * Career Development: Career coaching, global career opportunities, non-linear career paths, internal development programmes for management and technical leadership; * Learning Opportunities: Complex projects, rotations, internal tech communities, training, certifications, coaching, online learning platforms subscriptions, pass-it-on sessions, workshops, conferences; * Work-Life Balance: Hybrid work and flexible working hours, employee assistance programme; * Health: Global internal wellbeing programme, access to wellbeing apps; * Community: Global internal tech communities, hobby clubs and interest groups, inclusion and diversity programmes, events and celebrations. 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"Semantic Kernel", "Agent Framework", "CrewAI", "Amazon Bedrock", "Google Vertex AI", "Azure AI Foundry" ], "continuousLearning" : "Internal development programmes; Internal tech communities; Training; Certifications; Coaching; Online learning platforms; Pass-it-on sessions; Workshops", "qualificationsBasic" : "Software architecture background, Distributed systems background, Hands-on LLM application building, Complex workflow design experience, Orchestration system design experience, RAG architecture understanding, Retrieval optimization understanding, Retrieval quality understanding, LLM fundamentals understanding, Transformer architecture grasp, LLM training behavior understanding, NLP concepts familiarity, Model behavior reasoning, Multi-agent framework experience, Generative AI application platform experience, Cloud experience (AWS, Azure, or GCP), Python coding skills, AI integration with enterprise systems", "qualificationsPreferred" : "Prompt engineering experience, Chatbot role experience, LangChain experience, Semantic Kernel experience, Agent Framework experience, CrewAI experience, Custom agent framework experience, Amazon Bedrock experience, Google Vertex AI experience, Azure AI Foundry experience, MCP protocol familiarity, UCP protocol familiarity, A2A protocol familiarity, AP2 protocol familiarity, Tool use experience, Function calling experience, Agent coordination patterns experience, Memory management experience, Context management experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Technology is our how. And people are our why. For over two decades, we have been harnessing technology to drive meaningful change. By combining world-class engineering, industry expertise and a people-centric mindset, we consult and partner with leading brands from various industries to create dynamic platforms and intelligent digital experiences that drive innovation and transform businesses. From prototype to real-world impact - be part of a global shift by doing work that matters. We are looking for a highly skilled and hands-on AI Architect to design and lead the implementation of multi-agent (agentic) systems in enterprise environments. This is not a prompt engineering or chatbot role. We are focused on building production-grade AI systems, where multiple agents collaborate, reason, and execute complex workflows integrated with real business processes. Key Responsibilities * Design multi-agent architectures (task decomposition, orchestration, coordination patterns) * Define how LLM-powered agents interact with: * Enterprise data platforms * APIs and tools * Operational workflows * Lead agentic systems from PoC to production with model, cost, security, privacy, and responsible AI guardrails * Establish observability, tracing, feedback loops, and controls for agent behavior * Define memory strategies (short-term, long-term, contextual grounding) * Collaborate with data, platform, and engineering teams to integrate AI into core systems * Guide and train teams on best practices for scalable and reliable AI systems ## Qualifications What We’re Looking For Core Experience * Strong background in software architecture and distributed systems * Hands-on experience building complex LLM-based applications * Experience designing complex workflows or orchestration systems * Solid understanding of RAG architectures, retrieval optimization, and retrieval quality LLM & AI Foundations * Strong understanding of Large Language Model (LLM) fundamentals, not just usage * Solid grasp of Transformer architecture (attention mechanisms, embeddings, tokenization) * Understanding of how LLMs are trained and behave: * Pretraining vs fine-tuning vs instruction tuning * Context windows and limitations * Hallucinations and mitigation strategies * Familiarity with NLP concepts: * Semantic similarity * Text embeddings and vector representations * Information retrieval principles * Ability to reason about model behavior and limitations, not treat LLMs as black boxes Agentic / AI-Specific * Experience with multi-agent frameworks (LangChain, Semantic Kernel, Agent Framework, CrewAI, or custom) * Experience on platforms for managing the lifecycle of generative AI applications and agents like Amazon Bedrock (AWS), Google Vertex AI (GCP) or Azure AI Foundry * Familiarity with protocols like: MCP, UCP, A2A, AP2 * Familiarity with: * Tool use / function calling * Agent coordination patterns * Memory and context management * Experience evaluating and improving LLM reliability and accuracy Engineering & Platform * Cloud experience (AWS, Azure, or GCP) * Strong coding skills (Python preferred) * Experience integrating AI with enterprise systems (APIs, data platforms, event-driven systems) What Makes This Role Different * Focus on systems, not isolated models * Real enterprise use cases, not experimental demos * Opportunity to define architecture patterns for agentic systems * Work at the intersection of AI, data, and distributed systems ## Additional Information Discover some of the global benefits that empower our people to become the best version of themselves: * Finance: Competitive salary package, share plan, company performance bonuses, value-based recognition awards, referral bonus; * Career Development: Career coaching, global career opportunities, non-linear career paths, internal development programmes for management and technical leadership; * Learning Opportunities: Complex projects, rotations, internal tech communities, training, certifications, coaching, online learning platforms subscriptions, pass-it-on sessions, workshops, conferences; * Work-Life Balance: Hybrid work and flexible working hours, employee assistance programme; * Health: Global internal wellbeing programme, access to wellbeing apps; * Community: Global internal tech communities, hobby clubs and interest groups, inclusion and diversity programmes, events and celebrations. At Endava, we’re committed to creating an open, inclusive, and respectful environment where everyone feels safe, valued, and empowered to be their best. We welcome applications from people of all backgrounds, experiences, and perspectives—because we know that inclusive teams help us deliver smarter, more innovative solutions for our customers. Hiring decisions are based on merit, skills, qualifications, and potential. If you need adjustments or support during the recruitment process, please let us know.", "summaryDescription" : "AI Architect – Agentic Systems (LLM & Multi-Agent Solutions) at Endava. Skills: Agentic Systems, LLM Solutions, Multi-Agent Systems, Distributed Systems. Design multi-agent architectures. Decompose tasks", "postedDate" : "2026-06-15T16:06:23.000", "createdAt" : "2026-06-16T00:19:06.245", "lastUpdated" : "2026-06-16T10:12:11.094", "ingestTimestamp" : "2026-06-16T00:19:06.245", "mongoId" : "6a306470f292fd229cfa182a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Agentic systems", "Multi-agent systems", "LLM applications", "Distributed systems", "Workflow orchestration", "Retrieval optimization", "Model behavior analysis", "Agent coordination", "Memory management", "Context management", "API integration", "Data platform integration", "Event-driven systems", "Agentic Systems", "LLM Solutions", "Multi-Agent Systems", "Distributed Systems", "System design", "Workflow design", "Orchestration design", "Responsible AI", "LLM fundamentals", "Transformer architecture", "NLP concepts", "Information retrieval", "RAG architectures", "Cloud-native architecture", "LangChain", "Semantic Kernel", "Agent 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"smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/Endava/744000132240861-ai-architect-agentic-systems-llm-multi-agent-solutions-", "externalId" : "744000132240861", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Medellín", "state" : "Antioquia", "country" : "Colombia", "continent" : "sa", "source" : "llm", "workMode" : "onsite", "geo" : "6.2697324,-75.6025597" } ], "locationText" : "Medellín, Antioquia, Colombia", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "technicalSkills" : "Python, AWS, Azure, GCP, LLM, Transformer, NLP, RAG", "professionalSkills" : [ "System design", "Workflow design", "Orchestration design", "Responsible AI" ], "hardSkillsList" : [ "Agentic systems", "Multi-agent systems", "LLM applications", "Distributed systems", "Workflow orchestration", "Retrieval optimization", "Model behavior analysis", "Agent coordination", "Memory management", "Context 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Systems", "majorSkillsList" : [ "Agentic Systems", "LLM Solutions", "Multi-Agent Systems", "Distributed Systems" ], "coreResponsibilities" : "Design multi-agent architectures, Decompose tasks, Orchestrate agents, Coordinate agents, Define LLM agent interactions, Integrate with enterprise data, Integrate with APIs, Integrate with tools, Integrate with workflows, Lead agentic systems from PoC, Lead agentic systems to production, Implement model guardrails, Implement cost guardrails, Implement security guardrails, Implement privacy guardrails, Implement responsible AI guardrails, Establish observability for agents, Establish tracing for agents, Establish feedback loops for agents, Establish controls for agent behavior, Define memory strategies, Define long-term memory, Define contextual grounding, Collaborate with data teams, Collaborate with platform teams, Collaborate with engineering teams, Integrate AI into core systems, Guide teams on AI best practices, Train teams on AI best practices", "teamCollaboration" : "Data teams; Platform teams; Engineering teams", "domainKnowledge" : "Agentic systems; Multi-agent systems; LLM fundamentals; Transformer architecture; NLP concepts; Information retrieval; Generative AI applications; Cloud-native architecture; Distributed systems", "domainList" : [ "agentic-systems", "multi-agent-systems", "llm-fundamentals", "transformer-architecture", "nlp-concepts", "information-retrieval", "generative-ai-applications", "cloud-native-architecture", "distributed-systems" ], "domainSpecificKnowledge" : [ "Agentic systems", "Multi-agent systems", "LLM fundamentals", "Transformer architecture", "NLP concepts", "Information retrieval", "Generative AI applications", "Cloud-native architecture", "Distributed systems" ], "toolProficiency" : [ "LangChain", "Semantic Kernel", "Agent Framework", "CrewAI", "Amazon Bedrock", "Google Vertex AI", "Azure AI Foundry" ], "continuousLearning" : "Internal development programmes; Internal tech 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And people are our why. For over two decades, we have been harnessing technology to drive meaningful change. By combining world-class engineering, industry expertise and a people-centric mindset, we consult and partner with leading brands from various industries to create dynamic platforms and intelligent digital experiences that drive innovation and transform businesses. From prototype to real-world impact - be part of a global shift by doing work that matters. We are looking for a highly skilled and hands-on AI Architect to design and lead the implementation of multi-agent (agentic) systems in enterprise environments. This is not a prompt engineering or chatbot role. We are focused on building production-grade AI systems, where multiple agents collaborate, reason, and execute complex workflows integrated with real business processes. Key Responsibilities * Design multi-agent architectures (task decomposition, orchestration, coordination patterns) * Define how LLM-powered agents interact with: * Enterprise data platforms * APIs and tools * Operational workflows * Lead agentic systems from PoC to production with model, cost, security, privacy, and responsible AI guardrails * Establish observability, tracing, feedback loops, and controls for agent behavior * Define memory strategies (short-term, long-term, contextual grounding) * Collaborate with data, platform, and engineering teams to integrate AI into core systems * Guide and train teams on best practices for scalable and reliable AI systems ## Qualifications What We’re Looking For Core Experience * Strong background in software architecture and distributed systems * Hands-on experience building complex LLM-based applications * Experience designing complex workflows or orchestration systems * Solid understanding of RAG architectures, retrieval optimization, and retrieval quality LLM & AI Foundations * Strong understanding of Large Language Model (LLM) fundamentals, not just usage * Solid grasp of Transformer architecture (attention mechanisms, embeddings, tokenization) * Understanding of how LLMs are trained and behave: * Pretraining vs fine-tuning vs instruction tuning * Context windows and limitations * Hallucinations and mitigation strategies * Familiarity with NLP concepts: * Semantic similarity * Text embeddings and vector representations * Information retrieval principles * Ability to reason about model behavior and limitations, not treat LLMs as black boxes Agentic / AI-Specific * Experience with multi-agent frameworks (LangChain, Semantic Kernel, Agent Framework, CrewAI, or custom) * Experience on platforms for managing the lifecycle of generative AI applications and agents like Amazon Bedrock (AWS), Google Vertex AI (GCP) or Azure AI Foundry * Familiarity with protocols like: MCP, UCP, A2A, AP2 * Familiarity with: * Tool use / function calling * Agent coordination patterns * Memory and context management * Experience evaluating and improving LLM reliability and accuracy Engineering & Platform * Cloud experience (AWS, Azure, or GCP) * Strong coding skills (Python preferred) * Experience integrating AI with enterprise systems (APIs, data platforms, event-driven systems) What Makes This Role Different * Focus on systems, not isolated models * Real enterprise use cases, not experimental demos * Opportunity to define architecture patterns for agentic systems * Work at the intersection of AI, data, and distributed systems ## Additional Information Discover some of the global benefits that empower our people to become the best version of themselves: * Finance: Competitive salary package, share plan, company performance bonuses, value-based recognition awards, referral bonus; * Career Development: Career coaching, global career opportunities, non-linear career paths, internal development programmes for management and technical leadership; * Learning Opportunities: Complex projects, rotations, internal tech communities, training, certifications, coaching, online learning platforms subscriptions, pass-it-on sessions, workshops, conferences; * Work-Life Balance: Hybrid work and flexible working hours, employee assistance programme; * Health: Global internal wellbeing programme, access to wellbeing apps; * Community: Global internal tech communities, hobby clubs and interest groups, inclusion and diversity programmes, events and celebrations. At Endava, we’re committed to creating an open, inclusive, and respectful environment where everyone feels safe, valued, and empowered to be their best. We welcome applications from people of all backgrounds, experiences, and perspectives—because we know that inclusive teams help us deliver smarter, more innovative solutions for our customers. Hiring decisions are based on merit, skills, qualifications, and potential. If you need adjustments or support during the recruitment process, please let us know.", "summaryDescription" : "AI Architect – Agentic Systems (LLM & Multi-Agent Solutions) at Endava. Skills: Agentic Systems, LLM Solutions, Multi-Agent Systems, Distributed Systems. Design multi-agent architectures. Decompose tasks", "postedDate" : "2026-06-15T16:06:23.000", "createdAt" : "2026-06-15T23:31:30.397", "lastUpdated" : "2026-06-16T06:41:23.705", "ingestTimestamp" : "2026-06-15T23:31:30.397", "mongoId" : "6a30544ff292fd229cf17218", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Agentic systems", "Multi-agent systems", "LLM applications", "Distributed systems", "Workflow orchestration", "Retrieval optimization", "Model behavior analysis", "Agent coordination", "Memory management", "Context management", "API integration", "Data platform integration", "Event-driven systems", "Agentic Systems", "LLM Solutions", "Multi-Agent Systems", "Distributed Systems", "System design", "Workflow design", "Orchestration design", "Responsible AI", "LLM fundamentals", "Transformer architecture", "NLP concepts", "Information retrieval", "Generative AI applications", "Cloud-native architecture", "LangChain", "Semantic Kernel", "Agent Framework", "CrewAI", "Amazon Bedrock", "Google Vertex AI", "Azure AI Foundry" ], "skillCount" : 34, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Lead", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a306470f292fd229cfa182b", "title" : "AI Architect – Agentic Systems (LLM & Multi-Agent Solutions)", "company" : "Endava", "industry" : "Information Technology And Services", "salary" : { "min" : 1.8E8, "max" : 2.7E8, "currency" : "COP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Lead AI Architect in Technology industry in Cali, Colombia, adjusted for seniority and company size." }, "location" : "Cali, Valle del Cauca, CO", "locations" : [ "Cali", "Valle del Cauca", "CO" ], "timestamp" : "2026-06-16T08:56:53.950", "fingerprint" : "39db9e5151cf82d77a31da33179f9398b060c6cb711bb13aa3a3d6d90f4cb94c", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/Endava/744000132241599-ai-architect-agentic-systems-llm-multi-agent-solutions-", "externalId" : "744000132241599", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Cali", "state" : "Valle del Cauca", "country" : "Colombia", "continent" : "sa", "source" : "llm", "workMode" : "onsite", "geo" : "3.4108435,-76.5812127" } ], "locationText" : "Cali, Valle del Cauca, Colombia", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "technicalSkills" : "Python, LLM, AI, Generative AI, Transformer architecture, NLP, Vector representations, Information retrieval, Multi-agent systems, AWS, Azure, GCP", "professionalSkills" : [ "System design", "Workflow design", "Orchestration design", "Responsible AI" ], "hardSkillsList" : [ "Model training", "Fine-tuning", "Instruction tuning", "Semantic similarity", "Text embeddings", "Agent coordination", "Memory management", "Context management", "API integration", "Data platform integration", "Event-driven systems integration" ], "hardSkills" : [ { "name" : "Model training", "level" : "intermediate" }, { "name" : "Fine-tuning", "level" : "intermediate" }, { "name" : "Instruction tuning", "level" : "intermediate" }, { "name" : "Semantic similarity", "level" : "intermediate" }, { "name" : "Text embeddings", "level" : "intermediate" }, { "name" : "Agent coordination", "level" : "intermediate" }, { "name" : "Memory management", "level" : "intermediate" }, { "name" : "Context management", "level" : "intermediate" }, { "name" : "API integration", "level" : "intermediate" }, { "name" : "Data platform integration", "level" : "intermediate" }, { "name" : "Event-driven systems integration", "level" : "intermediate" } ], "majorSkills" : "Agentic Systems, LLM, Multi-Agent Solutions, Software Architecture", "majorSkillsList" : [ "Agentic Systems", "LLM", "Multi-Agent Solutions", "Software Architecture" ], "coreResponsibilities" : "Design multi-agent architectures, Define LLM agent interaction, Lead agentic systems, Establish observability, Establish tracing, Establish feedback loops, Establish controls for agent behavior, Define memory strategies, Collaborate with data teams, Collaborate with platform teams, Collaborate with engineering teams, Integrate AI into core systems, Guide teams on best practices, Train teams on best practices", "teamCollaboration" : "Data teams; 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Training; Certifications; Coaching; Online learning platforms; Pass-it-on sessions; Workshops", "innovationCreativity" : "Prototype development", "problemSolvingSkills" : "Root cause analysis", "qualificationsBasic" : "Software architecture background, Distributed systems background, Hands-on LLM applications, Complex workflows experience, Orchestration systems experience, RAG architectures understanding, Retrieval optimization understanding, Retrieval quality understanding, LLM fundamentals understanding, Transformer architecture grasp, LLM training behavior understanding, NLP concepts familiarity, Model behavior reasoning, Multi-agent frameworks experience, Generative AI lifecycle platforms experience, Cloud experience, Python coding skills, AI enterprise systems integration", "qualificationsPreferred" : "LangChain experience, Semantic Kernel experience, Agent Framework experience, CrewAI experience, Custom agent framework experience, Amazon Bedrock experience, Google Vertex AI experience, Azure AI Foundry experience, MCP protocol familiarity, UCP protocol familiarity, A2A protocol familiarity, AP2 protocol familiarity, Tool use familiarity, Function calling familiarity, Agent coordination patterns familiarity, Memory management familiarity, Context management familiarity, AWS experience, Azure experience, GCP experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Technology is our how. And people are our why. For over two decades, we have been harnessing technology to drive meaningful change. By combining world-class engineering, industry expertise and a people-centric mindset, we consult and partner with leading brands from various industries to create dynamic platforms and intelligent digital experiences that drive innovation and transform businesses. From prototype to real-world impact - be part of a global shift by doing work that matters. We are looking for a highly skilled and hands-on AI Architect to design and lead the implementation of multi-agent (agentic) systems in enterprise environments. This is not a prompt engineering or chatbot role. We are focused on building production-grade AI systems, where multiple agents collaborate, reason, and execute complex workflows integrated with real business processes. Key Responsibilities * Design multi-agent architectures (task decomposition, orchestration, coordination patterns) * Define how LLM-powered agents interact with: * Enterprise data platforms * APIs and tools * Operational workflows * Lead agentic systems from PoC to production with model, cost, security, privacy, and responsible AI guardrails * Establish observability, tracing, feedback loops, and controls for agent behavior * Define memory strategies (short-term, long-term, contextual grounding) * Collaborate with data, platform, and engineering teams to integrate AI into core systems * Guide and train teams on best practices for scalable and reliable AI systems ## Qualifications What We’re Looking For Core Experience * Strong background in software architecture and distributed systems * Hands-on experience building complex LLM-based applications * Experience designing complex workflows or orchestration systems * Solid understanding of RAG architectures, retrieval optimization, and retrieval quality LLM & AI Foundations * Strong understanding of Large Language Model (LLM) fundamentals, not just usage * Solid grasp of Transformer architecture (attention mechanisms, embeddings, tokenization) * Understanding of how LLMs are trained and behave: * Pretraining vs fine-tuning vs instruction tuning * Context windows and limitations * Hallucinations and mitigation strategies * Familiarity with NLP concepts: * Semantic similarity * Text embeddings and vector representations * Information retrieval principles * Ability to reason about model behavior and limitations, not treat LLMs as black boxes Agentic / AI-Specific * Experience with multi-agent frameworks (LangChain, Semantic Kernel, Agent Framework, CrewAI, or custom) * Experience on platforms for managing the lifecycle of generative AI applications and agents like Amazon Bedrock (AWS), Google Vertex AI (GCP) or Azure AI Foundry * Familiarity with protocols like: MCP, UCP, A2A, AP2 * Familiarity with: * Tool use / function calling * Agent coordination patterns * Memory and context management * Experience evaluating and improving LLM reliability and accuracy Engineering & Platform * Cloud experience (AWS, Azure, or GCP) * Strong coding skills (Python preferred) * Experience integrating AI with enterprise systems (APIs, data platforms, event-driven systems) What Makes This Role Different * Focus on systems, not isolated models * Real enterprise use cases, not experimental demos * Opportunity to define architecture patterns for agentic systems * Work at the intersection of AI, data, and distributed systems ## Additional Information Discover some of the global benefits that empower our people to become the best version of themselves: * Finance: Competitive salary package, share plan, company performance bonuses, value-based recognition awards, referral bonus; * Career Development: Career coaching, global career opportunities, non-linear career paths, internal development programmes for management and technical leadership; * Learning Opportunities: Complex projects, rotations, internal tech communities, training, certifications, coaching, online learning platforms subscriptions, pass-it-on sessions, workshops, conferences; * Work-Life Balance: Hybrid work and flexible working hours, employee assistance programme; * Health: Global internal wellbeing programme, access to wellbeing apps; * Community: Global internal tech communities, hobby clubs and interest groups, inclusion and diversity programmes, events and celebrations. At Endava, we’re committed to creating an open, inclusive, and respectful environment where everyone feels safe, valued, and empowered to be their best. We welcome applications from people of all backgrounds, experiences, and perspectives—because we know that inclusive teams help us deliver smarter, more innovative solutions for our customers. Hiring decisions are based on merit, skills, qualifications, and potential. If you need adjustments or support during the recruitment process, please let us know.", "summaryDescription" : "AI Architect – Agentic Systems (LLM & Multi-Agent Solutions) at Endava. Skills: Agentic Systems, LLM, Multi-Agent Solutions, Software Architecture. Design multi-agent architectures. Define LLM agent interaction", "postedDate" : "2026-06-15T16:05:43.000", "createdAt" : "2026-06-15T23:57:56.088", "lastUpdated" : "2026-06-16T08:56:53.950", "ingestTimestamp" : "2026-06-15T23:57:56.088", "mongoId" : "6a306470f292fd229cfa182b", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Model training", "Fine-tuning", "Instruction tuning", "Semantic similarity", "Text embeddings", "Agent coordination", "Memory management", "Context management", "API integration", "Data platform integration", "Event-driven systems integration", "Agentic Systems", "LLM", "Multi-Agent Solutions", "Software Architecture", "System design", "Workflow design", "Orchestration design", "Responsible AI", "Distributed systems", "Agentic systems", "Multi-agent systems", "Enterprise data platforms", "Operational workflows", "Transformer architecture", "NLP concepts", "Cloud-native architecture", "Event-driven systems", "LangChain", "Semantic Kernel", "Agent Framework", "CrewAI", "Amazon Bedrock", "Google Vertex AI", "Azure AI Foundry" ], "skillCount" : 35, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Lead", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a30544ff292fd229cf17219", "title" : "AI Architect – Agentic Systems (LLM & Multi-Agent Solutions)", "company" : "Endava", "industry" : "Information Technology And Services", "salary" : { "min" : 1.8E8, "max" : 2.7E8, "currency" : "COP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Lead AI Architect in Technology industry in Cali, Colombia, adjusted for seniority and company size." }, "location" : "Cali, Valle del Cauca, CO", "locations" : [ "Cali", "Valle del Cauca", "CO" ], "timestamp" : "2026-06-16T08:52:40.931", "fingerprint" : "608c3c81c77381b3e20430727ce38ed7a7cafd6baf390073cb63cfc98e834c56", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/Endava/744000132241599-ai-architect-agentic-systems-llm-multi-agent-solutions-", "externalId" : "744000132241599", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Cali", "state" : "Valle del Cauca", "country" : "Colombia", "continent" : "sa", "source" : "llm", "workMode" : "onsite", "geo" : "3.4108435,-76.5812127" } ], "locationText" : "Cali, Valle del Cauca, Colombia", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "technicalSkills" : "Python, LLM, AI, Generative AI, Transformer architecture, NLP, AWS, Azure, GCP", "professionalSkills" : [ "System design", "Workflow design", "Orchestration design", "Architecture definition" ], "hardSkillsList" : [ "Agentic systems", "Multi-agent systems", "LLM training", "NLP concepts", "Information retrieval", "Model behavior analysis", "Tool use", "Agent coordination", "Memory management", "Context management", "API integration", "Data platform integration", "Event-driven systems integration" ], "hardSkills" : [ { "name" : "Agentic systems", "level" : "intermediate" }, { "name" : "Multi-agent systems", "level" : "intermediate" }, { "name" : "LLM training", "level" : "intermediate" }, { "name" : "NLP concepts", "level" : "intermediate" }, { "name" : "Information retrieval", "level" : "intermediate" }, { "name" : "Model behavior analysis", "level" : "intermediate" }, { "name" : "Tool use", "level" : "intermediate" }, { "name" : "Agent coordination", "level" : "intermediate" }, { "name" : "Memory management", "level" : "intermediate" }, { "name" : "Context management", "level" : "intermediate" }, { "name" : "API integration", "level" : "intermediate" }, { "name" : "Data platform integration", "level" : "intermediate" }, { "name" : "Event-driven systems integration", "level" : "intermediate" } ], "majorSkills" : "Agentic systems, LLM, Multi-agent solutions, System architecture", "majorSkillsList" : [ "Agentic systems", "LLM", "Multi-agent solutions", "System architecture" ], "coreResponsibilities" : "Design multi-agent architectures, Define LLM agent interaction, Lead agentic systems, Establish observability, Establish tracing, Establish feedback loops, Establish controls, Define memory strategies, Collaborate with data teams, Collaborate with platform teams, Collaborate with engineering teams, Integrate AI into systems, Guide teams on best practices, Train teams on best practices", "teamCollaboration" : "Data teams; Platform teams; Engineering teams", "domainKnowledge" : "Distributed systems; Agentic systems; Multi-agent systems; LLM fundamentals; Transformer architecture; NLP concepts; RAG architectures; Cloud-native architecture; Event-driven systems", "domainList" : [ "distributed-systems", "agentic-systems", "multi-agent-systems", "llm-fundamentals", "transformer-architecture", "nlp-concepts", "rag-architectures", "cloud-native-architecture", "event-driven-systems" ], "domainSpecificKnowledge" : [ "Distributed systems", "Agentic systems", "Multi-agent systems", "LLM fundamentals", "Transformer architecture", "NLP concepts", "RAG architectures", "Cloud-native architecture", "Event-driven systems" ], "toolProficiency" : [ "LangChain", "Semantic Kernel", "Agent Framework", "CrewAI", "Amazon Bedrock", "Google Vertex AI", "Azure AI Foundry" ], "continuousLearning" : "Internal tech communities; Training; Certifications; Coaching; Online learning platforms; Pass-it-on sessions; Workshops", "innovationCreativity" : "Prototype development", "problemSolvingSkills" : "Reasoning about model behavior", "qualificationsBasic" : "Software architecture background, Distributed systems background, Hands-on LLM applications, Complex workflows experience, Orchestration systems experience, RAG architectures understanding, Retrieval optimization understanding, Retrieval quality understanding, LLM fundamentals understanding, Transformer architecture grasp, LLM training understanding, NLP concepts familiarity, Model behavior reasoning, Multi-agent frameworks experience, Generative AI platforms experience, Cloud experience, Python coding skills, AI enterprise systems integration", "qualificationsPreferred" : "LangChain experience, Semantic Kernel experience, Agent Framework experience, CrewAI experience, Custom agent framework experience, Amazon Bedrock experience, Google Vertex AI experience, Azure AI Foundry experience, MCP protocol familiarity, UCP protocol familiarity, A2A protocol familiarity, AP2 protocol familiarity, Tool use familiarity, Agent coordination patterns familiarity, Memory management familiarity, Context management familiarity, AWS experience, Azure experience, GCP experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Technology is our how. And people are our why. For over two decades, we have been harnessing technology to drive meaningful change. By combining world-class engineering, industry expertise and a people-centric mindset, we consult and partner with leading brands from various industries to create dynamic platforms and intelligent digital experiences that drive innovation and transform businesses. From prototype to real-world impact - be part of a global shift by doing work that matters. We are looking for a highly skilled and hands-on AI Architect to design and lead the implementation of multi-agent (agentic) systems in enterprise environments. This is not a prompt engineering or chatbot role. We are focused on building production-grade AI systems, where multiple agents collaborate, reason, and execute complex workflows integrated with real business processes. Key Responsibilities * Design multi-agent architectures (task decomposition, orchestration, coordination patterns) * Define how LLM-powered agents interact with: * Enterprise data platforms * APIs and tools * Operational workflows * Lead agentic systems from PoC to production with model, cost, security, privacy, and responsible AI guardrails * Establish observability, tracing, feedback loops, and controls for agent behavior * Define memory strategies (short-term, long-term, contextual grounding) * Collaborate with data, platform, and engineering teams to integrate AI into core systems * Guide and train teams on best practices for scalable and reliable AI systems ## Qualifications What We’re Looking For Core Experience * Strong background in software architecture and distributed systems * Hands-on experience building complex LLM-based applications * Experience designing complex workflows or orchestration systems * Solid understanding of RAG architectures, retrieval optimization, and retrieval quality LLM & AI Foundations * Strong understanding of Large Language Model (LLM) fundamentals, not just usage * Solid grasp of Transformer architecture (attention mechanisms, embeddings, tokenization) * Understanding of how LLMs are trained and behave: * Pretraining vs fine-tuning vs instruction tuning * Context windows and limitations * Hallucinations and mitigation strategies * Familiarity with NLP concepts: * Semantic similarity * Text embeddings and vector representations * Information retrieval principles * Ability to reason about model behavior and limitations, not treat LLMs as black boxes Agentic / AI-Specific * Experience with multi-agent frameworks (LangChain, Semantic Kernel, Agent Framework, CrewAI, or custom) * Experience on platforms for managing the lifecycle of generative AI applications and agents like Amazon Bedrock (AWS), Google Vertex AI (GCP) or Azure AI Foundry * Familiarity with protocols like: MCP, UCP, A2A, AP2 * Familiarity with: * Tool use / function calling * Agent coordination patterns * Memory and context management * Experience evaluating and improving LLM reliability and accuracy Engineering & Platform * Cloud experience (AWS, Azure, or GCP) * Strong coding skills (Python preferred) * Experience integrating AI with enterprise systems (APIs, data platforms, event-driven systems) What Makes This Role Different * Focus on systems, not isolated models * Real enterprise use cases, not experimental demos * Opportunity to define architecture patterns for agentic systems * Work at the intersection of AI, data, and distributed systems ## Additional Information Discover some of the global benefits that empower our people to become the best version of themselves: * Finance: Competitive salary package, share plan, company performance bonuses, value-based recognition awards, referral bonus; * Career Development: Career coaching, global career opportunities, non-linear career paths, internal development programmes for management and technical leadership; * Learning Opportunities: Complex projects, rotations, internal tech communities, training, certifications, coaching, online learning platforms subscriptions, pass-it-on sessions, workshops, conferences; * Work-Life Balance: Hybrid work and flexible working hours, employee assistance programme; * Health: Global internal wellbeing programme, access to wellbeing apps; * Community: Global internal tech communities, hobby clubs and interest groups, inclusion and diversity programmes, events and celebrations. At Endava, we’re committed to creating an open, inclusive, and respectful environment where everyone feels safe, valued, and empowered to be their best. We welcome applications from people of all backgrounds, experiences, and perspectives—because we know that inclusive teams help us deliver smarter, more innovative solutions for our customers. Hiring decisions are based on merit, skills, qualifications, and potential. If you need adjustments or support during the recruitment process, please let us know.", "summaryDescription" : "AI Architect – Agentic Systems (LLM & Multi-Agent Solutions) at Endava. Skills: Agentic systems, LLM, Multi-agent solutions, System architecture. Design multi-agent architectures. Define LLM agent interaction", "postedDate" : "2026-06-15T16:05:43.000", "createdAt" : "2026-06-15T23:31:31.946", "lastUpdated" : "2026-06-16T08:52:40.931", "ingestTimestamp" : "2026-06-15T23:31:31.946", "mongoId" : "6a30544ff292fd229cf17219", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Agentic systems", "Multi-agent systems", "LLM training", "NLP concepts", "Information retrieval", "Model behavior analysis", "Tool use", "Agent coordination", "Memory management", "Context management", "API integration", "Data platform integration", "Event-driven systems integration", "LLM", "Multi-agent solutions", "System architecture", "System design", "Workflow design", "Orchestration design", "Architecture definition", "Distributed systems", "LLM fundamentals", "Transformer architecture", "RAG architectures", "Cloud-native architecture", "Event-driven systems", "LangChain", "Semantic Kernel", "Agent Framework", "CrewAI", "Amazon Bedrock", "Google Vertex AI", "Azure AI Foundry" ], "skillCount" : 33, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Lead", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a306470f292fd229cfa182c", "title" : "AI Architect – Agentic Systems (LLM & Multi-Agent Solutions)", "company" : "Endava", "industry" : "Information Technology And Services", "salary" : { "min" : 1.85E8, "max" : 2.5E8, "currency" : "COP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Lead AI Architect in Technology in Bogotá, Colombia, adjusted for company size and industry." }, "location" : "Bogotá, Bogota D.C., CO", "locations" : [ "Bogotá", "Bogota D.C.", "CO" ], "timestamp" : "2026-06-16T10:05:41.897", "fingerprint" : "ce8f0677a9b55b5bf8877bb1899ce564eb2f5f104ed98a94a17d6ae2bf6a301d", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/Endava/744000132241459-ai-architect-agentic-systems-llm-multi-agent-solutions-", "externalId" : "744000132241459", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bogotá", "state" : "Bogota D. 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And people are our why. For over two decades, we have been harnessing technology to drive meaningful change. By combining world-class engineering, industry expertise and a people-centric mindset, we consult and partner with leading brands from various industries to create dynamic platforms and intelligent digital experiences that drive innovation and transform businesses. From prototype to real-world impact - be part of a global shift by doing work that matters. We are looking for a highly skilled and hands-on AI Architect to design and lead the implementation of multi-agent (agentic) systems in enterprise environments. This is not a prompt engineering or chatbot role. We are focused on building production-grade AI systems, where multiple agents collaborate, reason, and execute complex workflows integrated with real business processes. Key Responsibilities * Design multi-agent architectures (task decomposition, orchestration, coordination patterns) * Define how LLM-powered agents interact with: * Enterprise data platforms * APIs and tools * Operational workflows * Lead agentic systems from PoC to production with model, cost, security, privacy, and responsible AI guardrails * Establish observability, tracing, feedback loops, and controls for agent behavior * Define memory strategies (short-term, long-term, contextual grounding) * Collaborate with data, platform, and engineering teams to integrate AI into core systems * Guide and train teams on best practices for scalable and reliable AI systems ## Qualifications What We’re Looking For Core Experience * Strong background in software architecture and distributed systems * Hands-on experience building complex LLM-based applications * Experience designing complex workflows or orchestration systems * Solid understanding of RAG architectures, retrieval optimization, and retrieval quality LLM & AI Foundations * Strong understanding of Large Language Model (LLM) fundamentals, not just usage * Solid grasp of Transformer architecture (attention mechanisms, embeddings, tokenization) * Understanding of how LLMs are trained and behave: * Pretraining vs fine-tuning vs instruction tuning * Context windows and limitations * Hallucinations and mitigation strategies * Familiarity with NLP concepts: * Semantic similarity * Text embeddings and vector representations * Information retrieval principles * Ability to reason about model behavior and limitations, not treat LLMs as black boxes Agentic / AI-Specific * Experience with multi-agent frameworks (LangChain, Semantic Kernel, Agent Framework, CrewAI, or custom) * Experience on platforms for managing the lifecycle of generative AI applications and agents like Amazon Bedrock (AWS), Google Vertex AI (GCP) or Azure AI Foundry * Familiarity with protocols like: MCP, UCP, A2A, AP2 * Familiarity with: * Tool use / function calling * Agent coordination patterns * Memory and context management * Experience evaluating and improving LLM reliability and accuracy Engineering & Platform * Cloud experience (AWS, Azure, or GCP) * Strong coding skills (Python preferred) * Experience integrating AI with enterprise systems (APIs, data platforms, event-driven systems) What Makes This Role Different * Focus on systems, not isolated models * Real enterprise use cases, not experimental demos * Opportunity to define architecture patterns for agentic systems * Work at the intersection of AI, data, and distributed systems ## Additional Information Discover some of the global benefits that empower our people to become the best version of themselves: * Finance: Competitive salary package, share plan, company performance bonuses, value-based recognition awards, referral bonus; * Career Development: Career coaching, global career opportunities, non-linear career paths, internal development programmes for management and technical leadership; * Learning Opportunities: Complex projects, rotations, internal tech communities, training, certifications, coaching, online learning platforms subscriptions, pass-it-on sessions, workshops, conferences; * Work-Life Balance: Hybrid work and flexible working hours, employee assistance programme; * Health: Global internal wellbeing programme, access to wellbeing apps; * Community: Global internal tech communities, hobby clubs and interest groups, inclusion and diversity programmes, events and celebrations. At Endava, we’re committed to creating an open, inclusive, and respectful environment where everyone feels safe, valued, and empowered to be their best. We welcome applications from people of all backgrounds, experiences, and perspectives—because we know that inclusive teams help us deliver smarter, more innovative solutions for our customers. Hiring decisions are based on merit, skills, qualifications, and potential. If you need adjustments or support during the recruitment process, please let us know.", "summaryDescription" : "AI Architect – Agentic Systems (LLM & Multi-Agent Solutions) at Endava. Skills: Agentic Systems, LLM Solutions, Multi-Agent Systems, AI Architecture. Design multi-agent architectures. 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And people are our why. For over two decades, we have been harnessing technology to drive meaningful change. By combining world-class engineering, industry expertise and a people-centric mindset, we consult and partner with leading brands from various industries to create dynamic platforms and intelligent digital experiences that drive innovation and transform businesses. From prototype to real-world impact - be part of a global shift by doing work that matters. We are looking for a highly skilled and hands-on AI Architect to design and lead the implementation of multi-agent (agentic) systems in enterprise environments. This is not a prompt engineering or chatbot role. We are focused on building production-grade AI systems, where multiple agents collaborate, reason, and execute complex workflows integrated with real business processes. Key Responsibilities * Design multi-agent architectures (task decomposition, orchestration, coordination patterns) * Define how LLM-powered agents interact with: * Enterprise data platforms * APIs and tools * Operational workflows * Lead agentic systems from PoC to production with model, cost, security, privacy, and responsible AI guardrails * Establish observability, tracing, feedback loops, and controls for agent behavior * Define memory strategies (short-term, long-term, contextual grounding) * Collaborate with data, platform, and engineering teams to integrate AI into core systems * Guide and train teams on best practices for scalable and reliable AI systems ## Qualifications What We’re Looking For Core Experience * Strong background in software architecture and distributed systems * Hands-on experience building complex LLM-based applications * Experience designing complex workflows or orchestration systems * Solid understanding of RAG architectures, retrieval optimization, and retrieval quality LLM & AI Foundations * Strong understanding of Large Language Model (LLM) fundamentals, not just usage * Solid grasp of Transformer architecture (attention mechanisms, embeddings, tokenization) * Understanding of how LLMs are trained and behave: * Pretraining vs fine-tuning vs instruction tuning * Context windows and limitations * Hallucinations and mitigation strategies * Familiarity with NLP concepts: * Semantic similarity * Text embeddings and vector representations * Information retrieval principles * Ability to reason about model behavior and limitations, not treat LLMs as black boxes Agentic / AI-Specific * Experience with multi-agent frameworks (LangChain, Semantic Kernel, Agent Framework, CrewAI, or custom) * Experience on platforms for managing the lifecycle of generative AI applications and agents like Amazon Bedrock (AWS), Google Vertex AI (GCP) or Azure AI Foundry * Familiarity with protocols like: MCP, UCP, A2A, AP2 * Familiarity with: * Tool use / function calling * Agent coordination patterns * Memory and context management * Experience evaluating and improving LLM reliability and accuracy Engineering & Platform * Cloud experience (AWS, Azure, or GCP) * Strong coding skills (Python preferred) * Experience integrating AI with enterprise systems (APIs, data platforms, event-driven systems) What Makes This Role Different * Focus on systems, not isolated models * Real enterprise use cases, not experimental demos * Opportunity to define architecture patterns for agentic systems * Work at the intersection of AI, data, and distributed systems ## Additional Information Discover some of the global benefits that empower our people to become the best version of themselves: * Finance: Competitive salary package, share plan, company performance bonuses, value-based recognition awards, referral bonus; * Career Development: Career coaching, global career opportunities, non-linear career paths, internal development programmes for management and technical leadership; * Learning Opportunities: Complex projects, rotations, internal tech communities, training, certifications, coaching, online learning platforms subscriptions, pass-it-on sessions, workshops, conferences; * Work-Life Balance: Hybrid work and flexible working hours, employee assistance programme; * Health: Global internal wellbeing programme, access to wellbeing apps; * Community: Global internal tech communities, hobby clubs and interest groups, inclusion and diversity programmes, events and celebrations. 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And people are our why. For over two decades, we have been harnessing technology to drive meaningful change. By combining world-class engineering, industry expertise and a people-centric mindset, we consult and partner with leading brands from various industries to create dynamic platforms and intelligent digital experiences that drive innovation and transform businesses. From prototype to real-world impact - be part of a global shift by doing work that matters. We are looking for a highly skilled and hands-on AI Architect to design and lead the implementation of multi-agent (agentic) systems in enterprise environments. This is not a prompt engineering or chatbot role. We are focused on building production-grade AI systems, where multiple agents collaborate, reason, and execute complex workflows integrated with real business processes. Key Responsibilities * Design multi-agent architectures (task decomposition, orchestration, coordination patterns) * Define how LLM-powered agents interact with: * Enterprise data platforms * APIs and tools * Operational workflows * Lead agentic systems from PoC to production with model, cost, security, privacy, and responsible AI guardrails * Establish observability, tracing, feedback loops, and controls for agent behavior * Define memory strategies (short-term, long-term, contextual grounding) * Collaborate with data, platform, and engineering teams to integrate AI into core systems * Guide and train teams on best practices for scalable and reliable AI systems ## Qualifications What We’re Looking For Core Experience * Strong background in software architecture and distributed systems * Hands-on experience building complex LLM-based applications * Experience designing complex workflows or orchestration systems * Solid understanding of RAG architectures, retrieval optimization, and retrieval quality LLM & AI Foundations * Strong understanding of Large Language Model (LLM) fundamentals, not just usage * Solid grasp of Transformer architecture (attention mechanisms, embeddings, tokenization) * Understanding of how LLMs are trained and behave: * Pretraining vs fine-tuning vs instruction tuning * Context windows and limitations * Hallucinations and mitigation strategies * Familiarity with NLP concepts: * Semantic similarity * Text embeddings and vector representations * Information retrieval principles * Ability to reason about model behavior and limitations, not treat LLMs as black boxes Agentic / AI-Specific * Experience with multi-agent frameworks (LangChain, Semantic Kernel, Agent Framework, CrewAI, or custom) * Experience on platforms for managing the lifecycle of generative AI applications and agents like Amazon Bedrock (AWS), Google Vertex AI (GCP) or Azure AI Foundry * Familiarity with protocols like: MCP, UCP, A2A, AP2 * Familiarity with: * Tool use / function calling * Agent coordination patterns * Memory and context management * Experience evaluating and improving LLM reliability and accuracy Engineering & Platform * Cloud experience (AWS, Azure, or GCP) * Strong coding skills (Python preferred) * Experience integrating AI with enterprise systems (APIs, data platforms, event-driven systems) What Makes This Role Different * Focus on systems, not isolated models * Real enterprise use cases, not experimental demos * Opportunity to define architecture patterns for agentic systems * Work at the intersection of AI, data, and distributed systems ## Additional Information Discover some of the global benefits that empower our people to become the best version of themselves: * Finance: Competitive salary package, share plan, company performance bonuses, value-based recognition awards, referral bonus; * Career Development: Career coaching, global career opportunities, non-linear career paths, internal development programmes for management and technical leadership; * Learning Opportunities: Complex projects, rotations, internal tech communities, training, certifications, coaching, online learning platforms subscriptions, pass-it-on sessions, workshops, conferences; * Work-Life Balance: Hybrid work and flexible working hours, employee assistance programme; * Health: Global internal wellbeing programme, access to wellbeing apps; * Community: Global internal tech communities, hobby clubs and interest groups, inclusion and diversity programmes, events and celebrations. At Endava, we’re committed to creating an open, inclusive, and respectful environment where everyone feels safe, valued, and empowered to be their best. We welcome applications from people of all backgrounds, experiences, and perspectives—because we know that inclusive teams help us deliver smarter, more innovative solutions for our customers. Hiring decisions are based on merit, skills, qualifications, and potential. If you need adjustments or support during the recruitment process, please let us know.", "summaryDescription" : "AI Architect – Agentic Systems (LLM & Multi-Agent Solutions) at Endava. Skills: Agentic Systems, LLM Solutions, Multi-Agent Systems, Software Architecture. Design multi-agent architectures. 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"rawDescription" : "Technology is our how. And people are our why. For over two decades, we have been harnessing technology to drive meaningful change. By combining world-class engineering, industry expertise and a people-centric mindset, we consult and partner with leading brands from various industries to create dynamic platforms and intelligent digital experiences that drive innovation and transform businesses. From prototype to real-world impact - be part of a global shift by doing work that matters. We are looking for a highly skilled and hands-on AI Architect to design and lead the implementation of multi-agent (agentic) systems in enterprise environments. This is not a prompt engineering or chatbot role. We are focused on building production-grade AI systems, where multiple agents collaborate, reason, and execute complex workflows integrated with real business processes. Key Responsibilities * Design multi-agent architectures (task decomposition, orchestration, coordination patterns) * Define how LLM-powered agents interact with: * Enterprise data platforms * APIs and tools * Operational workflows * Lead agentic systems from PoC to production with model, cost, security, privacy, and responsible AI guardrails * Establish observability, tracing, feedback loops, and controls for agent behavior * Define memory strategies (short-term, long-term, contextual grounding) * Collaborate with data, platform, and engineering teams to integrate AI into core systems * Guide and train teams on best practices for scalable and reliable AI systems ## Qualifications What We’re Looking For Core Experience * Strong background in software architecture and distributed systems * Hands-on experience building complex LLM-based applications * Experience designing complex workflows or orchestration systems * Solid understanding of RAG architectures, retrieval optimization, and retrieval quality LLM & AI Foundations * Strong understanding of Large Language Model (LLM) fundamentals, not just usage * Solid grasp of Transformer architecture (attention mechanisms, embeddings, tokenization) * Understanding of how LLMs are trained and behave: * Pretraining vs fine-tuning vs instruction tuning * Context windows and limitations * Hallucinations and mitigation strategies * Familiarity with NLP concepts: * Semantic similarity * Text embeddings and vector representations * Information retrieval principles * Ability to reason about model behavior and limitations, not treat LLMs as black boxes Agentic / AI-Specific * Experience with multi-agent frameworks (LangChain, Semantic Kernel, Agent Framework, CrewAI, or custom) * Experience on platforms for managing the lifecycle of generative AI applications and agents like Amazon Bedrock (AWS), Google Vertex AI (GCP) or Azure AI Foundry * Familiarity with protocols like: MCP, UCP, A2A, AP2 * Familiarity with: * Tool use / function calling * Agent coordination patterns * Memory and context management * Experience evaluating and improving LLM reliability and accuracy Engineering & Platform * Cloud experience (AWS, Azure, or GCP) * Strong coding skills (Python preferred) * Experience integrating AI with enterprise systems (APIs, data platforms, event-driven systems) What Makes This Role Different * Focus on systems, not isolated models * Real enterprise use cases, not experimental demos * Opportunity to define architecture patterns for agentic systems * Work at the intersection of AI, data, and distributed systems ## Additional Information Discover some of the global benefits that empower our people to become the best version of themselves: * Finance: Competitive salary package, share plan, company performance bonuses, value-based recognition awards, referral bonus; * Career Development: Career coaching, global career opportunities, non-linear career paths, internal development programmes for management and technical leadership; * Learning Opportunities: Complex projects, rotations, internal tech communities, training, certifications, coaching, online learning platforms subscriptions, pass-it-on sessions, workshops, conferences; * Work-Life Balance: Hybrid work and flexible working hours, employee assistance programme; * Health: Global internal wellbeing programme, access to wellbeing apps; * Community: Global internal tech communities, hobby clubs and interest groups, inclusion and diversity programmes, events and celebrations. At Endava, we’re committed to creating an open, inclusive, and respectful environment where everyone feels safe, valued, and empowered to be their best. We welcome applications from people of all backgrounds, experiences, and perspectives—because we know that inclusive teams help us deliver smarter, more innovative solutions for our customers. Hiring decisions are based on merit, skills, qualifications, and potential. If you need adjustments or support during the recruitment process, please let us know.", "summaryDescription" : "AI Architect – Agentic Systems (LLM & Multi-Agent Solutions) at Endava. Skills: AI Architecture, Agentic Systems, LLM Solutions, Multi-Agent Systems. Design multi-agent architectures. Define LLM-powered agent interaction", "postedDate" : "2026-06-15T16:03:42.000", "createdAt" : "2026-06-15T23:31:36.116", "lastUpdated" : "2026-06-16T08:03:50.121", "ingestTimestamp" : "2026-06-15T23:31:36.116", "mongoId" : "6a30544ff292fd229cf1721b", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Software architecture", "Distributed systems", "LLM applications", "Workflow orchestration", "RAG architectures", "Retrieval optimization", "Retrieval quality", "LLM fundamentals", "Transformer architecture", "LLM training", "LLM behavior", "NLP concepts", "Model behavior", "Multi-agent frameworks", "Generative AI platforms", "Cloud platforms", "Python coding", "Enterprise integration", "Agent coordination", "Memory strategies", "Context management", "AI Architecture", "Agentic Systems", "LLM Solutions", "Multi-Agent Systems", "System design", "Architecture design", "Workflow design", "Orchestration design", "Agentic systems", "LLM", "Multi-agent systems", "Memory management", "Responsible AI", "Vector representations", "Information retrieval", "LangChain", "Semantic Kernel", "Agent Framework", "CrewAI", "Amazon Bedrock", "Google Vertex AI", "Azure AI Foundry" ], "skillCount" : 43, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Lead", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "69e1e3852beec4dd3d1d0ee7", "title" : "Semi-Skilled Construction Operative", "company" : "Home Group", "industry" : "Real Estate", "salary" : { "min" : 29830.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : false }, "location" : "County Durham-Durham-Durham (Mercury House)", "locations" : [ "County Durham-Durham-Durham (Mercury House)", "04.May.26, 11:59:00 PM", "251591, 251591, true" ], "timestamp" : "2026-06-16T01:14:31.717", "fingerprint" : "c5d5505834751102b316a17011877c5d4693d20fc47f258b26c36c1a8b16df5b", "source" : "taleo", "language" : "en", "applyUrl" : "https://homegroup.taleo.net/careersection/ex/jobdetail.ftl?job=251591", "externalId" : "251591", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Durham", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "54.6666670,-1.7500000" } ], "locationText" : "Durham, United Kingdom", "employmentType" : "FULL_TIME", "hardSkillsList" : [ "Building trades", "Housing repairs", "Construction site operations" ], "hardSkills" : [ { "name" : "Building trades", "level" : "intermediate" }, { "name" : "Housing repairs", "level" : "intermediate" }, { "name" : "Construction site operations", "level" : "intermediate" } ], "majorSkills" : "Maintenance, Property refurbishment", "majorSkillsList" : [ "Maintenance", "Property refurbishment" ], "coreResponsibilities" : "Complete allocated jobs right first time, Provide whole job repair approach, Support trades team, Complete repairs, Complete maintenance, Complete property refurbishment tasks, Clear sites, Dispose of waste, Drive materials, Store materials, Improve first time fixes, Prevent multiple visits, Deliver high-quality work, Deliver compliant work, Log jobs using technology, Complete online learning", "teamCollaboration" : "Collaborating with other colleagues", "domainKnowledge" : "Building construction; Building trade activities", "domainList" : [ "building-construction", "building-trade-activities" ], "domainSpecificKnowledge" : [ "Building construction", "Building trade activities" ], "continuousLearning" : "Complete online learning", "problemSolvingSkills" : "Use own initiative and judgement", "specialRequirements" : "On call on rota basis, Basic DBS, Health check", "outcomesObjectives" : "Improve first time fixes; Prevent multiple visits", "qualificationsBasic" : "Experience in maintenance environment, Knowledge of building construction, Knowledge of building trade activities, Full current driving licence", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Semi-skilled Construction Operative Working in our properties across the North East Permanent, full time 37.5 hpw Monday to Friday, with on call on a rota basis £29,830 per annum plus van great benefits including matching pension contributions We can’t offer a CoS for this role Home, a place where you belong Do you have a good knowledge of building trades, housing repairs or construction site operations and looking for a new role with a great employer? Come join us at Home Group and be part of our fantastic repairs and maintenance team. You’ll carry out high-quality, right first-time maintenance across our responsive and void properties. If you fancy working alongside a brilliant team, then read on… What you’ll do As Semi-skilled Construction Operative, all allocated jobs are completed right first time, with a whole job repair approach, providing a brilliant service for our customers. Supporting our trades team across a range of repairs, maintenance and property refurbishment tasks including Joiners, Roofers, Decorators, Bricklayers, Plumbers etc. Site activities including clearing, disposals, driving and storage of materials. You’ll support us to improve first time fixes and prevent multiple visits to customers’ homes. Delivering high-quality and compliant work. Why join us? This is more than a job, it’s a place where you feel valued. You get great training, support from friendly colleagues and a chance to make a real difference every day. Be part of one of the UK’s Great Places to Work! You have Experience in a range of semi-skilled work in a maintenance environment. Knowledge of building construction and building trade activities. A flexible approach, able to use your own initiative and judgement. A full current driving licence, as you will be provided with a company van for business use and commuting. Stronger together We do our best work when we’re ourselves. That’s why inclusion, wellbeing, and our diversity networks help make Home Group a great place to work ! The practical bits Working Monday to Friday You must be able to use technology for logging jobs, complete online learning and collaborating with other colleagues. You’ll need a Basic DBS and health check done, we pay for that. What’s in it for you? ·       34 days leave, rising to 39 (this includes bank holidays and a “me day”). The option to buy 5 more each year ·        2 paid volunteering days each year ·        Health cash plan saving you (and your children) £1140+ each year covering dental, opticians, prescriptions and more ·        Matching pension contribution (up to 7% and life insurance of 3x basic salary) ·        Family friendly policies including maternity, paternity, adoption, neonatal, fertility and menopause support Find out more Click APPLY NOW to see our Semi-skilled Construction Operative Job Description , find out about us and for help to apply . Sometimes we close a job early, so don’t delay.  For adjustments email recruitment@homegroup.org.uk Durham (Mercury House) Belmont Business Park", "summaryDescription" : "Semi-Skilled Construction Operative at Home Group. Skills: Maintenance, Property refurbishment. Complete allocated jobs right first time. Provide whole job repair approach", "createdAt" : "2026-06-14T20:43:24.011", "lastUpdated" : "2026-06-16T01:14:31.717", "ingestTimestamp" : "2026-06-14T20:43:24.011", "mongoId" : "69e1e3852beec4dd3d1d0ee7", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Building trades", "Housing repairs", "Construction site operations", "Maintenance", "Property refurbishment", "Building construction", "Building trade activities" ], "skillCount" : 7, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Entry", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Real Estate", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2a5c9d74d8ee00a06152f7", "title" : "Head of Mission Readiness, Autonomous Airpower", "company" : "Anduril Industries", "industry" : "defense technology", "salary" : { "min" : 275000.0, "max" : 425000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for Director level in Defense Technology in Costa Mesa, California, adjusted for company size and seniority." }, "location" : "Costa Mesa, California, United States", "locations" : [ "Costa Mesa", "California", "United States" ], "timestamp" : "2026-06-14T21:34:59.529", "fingerprint" : "ea0ead252330c99b87eb11ac4cdafba2c39996209c71391f5e352dcee84ae0b5", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://boards.greenhouse.io/andurilindustries/jobs/5158742007?gh_jid=5158742007", "externalId" : "5158742007", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Costa Mesa", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "33.6633386,-117.9033170" } ], "locationText" : "Costa Mesa, California, United States", "experienceLevel" : "Manager", "professionalSkills" : [ "Logistics management", "Program administration", "Operations management", "Manufacturing engineering", "Supply chain management", "Government logistics", "DoD logistics" ], "hardSkillsList" : [ "Logistics strategies", "Budget monitoring", "Contract acquisitions", "Negotiations" ], "softSkillsList" : [ "Leadership", "Critical thinking" ], "hardSkills" : [ { "name" : "Logistics strategies", "level" : "intermediate" }, { "name" : "Budget monitoring", "level" : "intermediate" }, { "name" : "Contract acquisitions", "level" : "intermediate" }, { "name" : "Negotiations", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Critical thinking" } ], "majorSkills" : "Mission Readiness, Integrated Support, Logistics", "majorSkillsList" : [ "Mission Readiness", "Integrated Support", "Logistics" ], "coreResponsibilities" : "Direct Mission Readiness - Integrated Logistics Support activities, Execute logistics support, Implement logistics processes, Implement logistics best practices, Provide technical oversight, Monitor budget, Take Integrated Logistics Support from zero to one, Implement logistics systems, Maintain logistics systems, Implement logistics standards, Maintain logistics standards, Implement logistics data, Maintain logistics data, Lead a high-performing team, Develop a high-performing team, Recruit team members, Train team members, Manage team performance, Collaborate with cross-functional teams, Ensure alignment of logistics goals, Ensure execution of logistics goals, Develop logistics plans, Implement logistics plans, Ensure timely execution of logistics program deliverables, Participate with engineering to establish design concepts, Participate with engineering to establish design criteria, Participate with engineering to establish engineering efforts, Influence preparation of proposals, Coordinate preparation of proposals, Influence preparation of business plans, Coordinate preparation of business plans, Influence preparation of proposal work statements, Coordinate preparation of proposal work statements, Influence preparation of specifications, Coordinate preparation of specifications, Influence preparation of operating budgets, Coordinate preparation of operating budgets, Influence preparation of financial terms/conditions of contract(s), Coordinate preparation of financial terms/conditions of contract(s), Influence contract acquisitions, Negotiate contract acquisitions, Modify contract acquisitions, Problem solve for your team, Remove obstacles for your team, Problem solve for partners, Remove obstacles for partners, Think critically, Engage the right teams, Communicate effectively to keep teams informed, Ensure stakeholders understand accomplishments, Ensure stakeholders understand timelines, Roll up your sleeves, Get the job done", "teamCollaboration" : "Cross-functional teams; Engineering teams; Quality teams; Program management teams; Internal teams; External teams", "projectManagementSkills" : [ "Program administration", "Scheduling", "Coordinating workloads" ], "domainKnowledge" : "Commercial logistics; Military logistics; Government programs; DoD logistics; Aircraft logistics", "domainList" : [ "commercial-logistics", "military-logistics", "government-programs", "dod-logistics", "aircraft-logistics" ], "domainSpecificKnowledge" : [ "Commercial logistics", "Military logistics", "Government programs", "DoD logistics", "Aircraft logistics" ], "communicationSkills" : "Communicate effectively", "problemSolvingSkills" : "Problem solve; Think critically", "specialRequirements" : "Ability to travel, Ability to be local, Relocate to Costa Mesa, CA, Maintain U. S. Secret security clearance", "qualificationsBasic" : "Bachelor's degree in engineering, business, or related field, 10+ years of experience in DoD/government logistics or progressively complex program administration, Leadership roles in operations, manufacturing engineering, or supply chain, Eligible to obtain and maintain an active U. S. Secret security clearance, Ability to travel as needed for the business, Ability to be local or relocate to Costa Mesa, CA", "qualificationsPreferred" : "Expertise in regulatory requirements as it relates to the DoD or government logistics, Experience related to aircraft, Experience working with, in, and around Air Force or other military branch Integrated Logistics operations, Ability to work cross-functionally, including at a deeply technical level, Unstructured startup experience, Outcome orientation with the ability to drive initiatives from inception to implementation and adoption, Willing and able to dive into tactical execution mode, Demonstrated ability to lead projects from idea conception to idea execution without assistance, Government Proposal experience", "workSiteFlexibility" : "Onsite", "rawDescription" : "Anduril Industries is a defense technology company with a mission to transform U. S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years. ABOUT THE JOB We are looking for a Head of Mission Readiness, Autonomous Airpower (Fury) to join our rapidly growing team in Costa Mesa, CA. You’ll be leading the effort to advance and formalize Anduril’s Mission Readiness - Integrated Support capabilities. You will lead the development, implementation, and management of comprehensive logistics strategies that improve Anduril’s ability to deploy, maintain, and sustain hardware. This role involves leading and coordinating with cross-functional teams to ensure seamless integration of all elements of Mission Readiness - Integrated Product Support. It will require a breadth of understanding of both commercial and military logistics, experience working on government programs, and a deep appreciation for details. This position is pivotal in ensuring Anduril continues to scale our capabilities in government and DoD logistics. We are a fast-growing company at the early stages of our growth, and you will be expected to own material and important projects during your time on the team, which will have a significant impact on the company’s trajectory. Anduril fosters a diverse, collaborative, culture with plenty of opportunities for ownership and professional growth. WHAT YOU’LL DO Direct all Mission Readiness - Integrated Logistics Support activities across programs to include execution, process, best practices, technical oversight, and budget monitoring. Responsible for taking Integrated Logistics Support at Anduril from zero to one on an extremely aggressive timeline. Implement and maintain logistics systems, standards, and data to ensure accurate and efficient logistics operations and management. Lead and develop a high-performing team, including recruitment, training, and performance management. Collaborate with cross-functional teams, including engineering, quality, and program management, to ensure alignment and execution of logistics goals. Develop and implement logistics plans and best practices to ensure the timely execution of all logistics program deliverables in a highly collaborative environment. Participate with engineering to establish design concepts, criteria, and engineering efforts for product research, development, testing, and integration. Influence, and coordinate the preparation of proposals, business plans, proposal work statements and specifications, operating budgets, and financial terms/conditions of contract(s). Influence contract acquisitions, negotiations, and modifications. Problem solve and remove obstacles for your team and internal and external partners. Know how to think critically and engage the right teams to help. Communicate effectively to keep internal and external teams informed at all times. Use the necessary channels (Slack, email, meetings) to ensure stakeholders understand what needs to be accomplished and when. Be a team player where no task is too small. Be willing to roll up your sleeves and get the job done. Embrace the startup life. QUALIFICATIONS Bachelor's degree in engineering, business, or related field. 10+ years of experience in DoD/government logistics or progressively complex program administration experience, including leadership roles in operations, manufacturing engineering, or supply chain. Demonstrates technical expertise and application of logistics management principles, concepts, and practice as well as leadership skills including organizing, planning, scheduling, and coordinating workloads to meet established deadlines or milestones. Eligible to obtain and maintain an active U. S. Secret security clearance. Ability to travel as needed for the business. Ability to be local or relocate to Costa Mesa, CA. PREFERRED QUALIFICATIONS Expertise in regulatory requirements as it relates to the DoD or government logistics, preferably related to aircraft Experience working with, in, and around Air Force or other military branch Integrated Logistics operations. Excellent leadership, communication, and interpersonal skills. Strong ability to work cross-functionally, including at a deeply technical level, in an unstructured environment; startup experience preferred. Strong outcome orientation with the ability to drive initiatives from inception to implementation and adoption. Willing and able to dive into tactical execution mode when needed to move the effort forward. Demonstrated ability to lead projects from idea conception to idea execution without assistance. Moves fast, has a positive attitude and can lead people directly and via influence. Government Proposal experience is desired. US Salary Range $253,000—$336,000 USD The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Anduril's total compensation package. Additionally, Anduril offers top-tier benefits for full-time employees, including: Benefits At Anduril, we invest in our people. Our comprehensive, competitive benefits package (available at little to no cost to employees) ensures you’re supported in health, recovery, and whatever comes next. For more information, Explore Our Benefits. Protecting Yourself from Recruitment Scams Anduril is committed to maintaining the integrity of our Talent acquisition process and the security of our candidates. We've observed a rise in sophisticated phishing and fraudulent schemes where individuals impersonate Anduril representatives, luring job seekers with false interviews or job offers. These scammers often attempt to extract payment or sensitive personal information. To ensure your safety and help you navigate your job search with confidence, please keep the following critical points in mind: No Financial Requests: Anduril will never solicit payment or demand personal financial details (such as banking information, credit card numbers, or social security numbers) at any stage of our hiring process. Our legitimate recruitment is entirely free for candidates. Please always verify communications: Direct from Anduril: If you receive an email from one of our recruiters, it will only come from an @anduril.com address. Via Agency Partner: If contacted by a recruiting agency for an Anduril role, their email will clearly identify their agency. If you suspect any suspicious activity, please verify the agency's authenticity by reaching out to contact@anduril.com. Exercise Caution with Unsolicited Outreach: If you receive any communication that appears suspicious, contains grammatical errors, or makes unusual requests, do not engage. Always confirm the sender's email domain is @anduril.com before providing any personal information or clicking on links. What to Do If You Suspect Fraud: Should you encounter any questionable or fraudulent outreach claiming to be from Anduril, please report it immediately to contact@anduril.com. Your proactive caution is invaluable in protecting your personal information and upholding the security and trustworthiness of our recruitment efforts. Data Privacy To view Anduril's candidate data privacy policy, please visit https://anduril.com/applicant-privacy-notice/. By submitting your application, you consent to Anduril Industries using a third-party service provider to conduct pre-employment risk, integrity, and due diligence screening and assessing potential risks as part of your application process. This third-party service provider provides risk-intelligence services that may include analysis of sanctions and watchlists, adverse media, public-record information, and other lawful open-source or commercial data sources. This third-party service provider does not act as a consumer reporting agency. Use of this provider helps to ensure compliance with applicable laws and protect technology, intellectual property, and organizational security.", "summaryDescription" : "Head of Mission Readiness, Autonomous Airpower at Anduril Industries. Skills: Mission Readiness, Integrated Support, Logistics. Direct Mission Readiness - Integrated Logistics Support activities. Execute logistics support", "postedDate" : "2026-06-11T22:14:52.762", "createdAt" : "2026-06-11T22:14:52.762", "lastUpdated" : "2026-06-14T21:34:59.529", "ingestTimestamp" : "2026-06-11T22:14:52.762", "mongoId" : "6a2a5c9d74d8ee00a06152f7", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 275000, "salaryAnnualMax" : 425000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "Logistics strategies", "Budget monitoring", "Contract acquisitions", "Negotiations", "Leadership", "Critical thinking", "Mission Readiness", "Integrated Support", "Logistics", "Logistics management", "Program administration", "Operations management", "Manufacturing engineering", "Supply chain management", "Government logistics", "DoD logistics", "Scheduling", "Coordinating workloads", "Commercial logistics", "Military logistics", "Government programs", "Aircraft logistics" ], "skillCount" : 22, "jobCategory" : "product", "jobSubcategory" : "programs-:-deployments-:-integrated-product-support", "dataQualityScore" : 0.8888889, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "defense technology" }, { "id" : "6a18ce8858b93c861e2c812e", "title" : "Transportation Engineer or II - Design", "company" : "Texas Department of Transportation", "industry" : "Government", "salary" : { "min" : 65104.0, "max" : 114099.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "UST-Texas-El Paso-El Paso District Headquarters", "locations" : [ "UST-Texas-El Paso-El Paso District Headquarters", "Yearly", "Exempt,
El Paso District Headquarters (24DISTHQ)
13301 GATEWAY BLVD WEST
El Paso, 79928

, El Paso District Headquarters" ], "timestamp" : "2026-06-15T22:46:47.917", "fingerprint" : "5d1c5835a4785bed53ae8b9d612cd449ffc3cdb4af6e8303ba4ae69a8489f5d6", "source" : "taleo", "language" : "en", "applyUrl" : "https://fa009.taleo.net/careersection/ex/jobdetail.ftl?job=44573", "externalId" : "44573", "industryFunction" : { }, "structuredLocations" : [ { "city" : "El Paso", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "31.7601001,-106.4870476" } ], "locationText" : "El Paso, Texas, United States", "employmentType" : "FULL_TIME", "professionalSkills" : [ "Project development", "Roadway design" ], "majorSkills" : "Roadway projects, Transportation infrastructure", "majorSkillsList" : [ "Roadway projects", "Transportation infrastructure" ], "coreResponsibilities" : "Develop plans, Develop specifications, Recommend improvements, Support project delivery, Design roadway projects, Shape roadway projects", "teamCollaboration" : "Collaborative environment; Local partners; Federal partners", "domainKnowledge" : "Texas transportation", "domainList" : [ "texas-transportation" ], "domainSpecificKnowledge" : [ "Texas transportation" ], "continuousLearning" : "Professional development", "innovationCreativity" : "Innovative roadway projects", "outcomesObjectives" : "Impact communities across state", "qualificationsBasic" : "Transportation Engineer I or II", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Ready to design the future of Texas transportation? Join the Texas Department of Transportation (TxDOT) as a Transportation Engineer in our Design Office, where you’ll play a vital role in shaping safe, efficient, and innovative roadway projects that impact communities across the state. Engineers at all levels (I–II) contribute to planning, design, and project development, working in a collaborative environment with opportunities to travel, engage with local and federal partners, and apply advanced engineering practices to real-world challenges. With responsibilities ranging from developing plans and specifications to recommending improvements and supporting project delivery, this position offers meaningful career growth, professional development, and the chance to make a lasting difference in Texas’ transportation infrastructure. Salary/ Plan Grade:    Transportation Engineer I (B24): $.65,104 - $106,634 Transportation Engineer II (B25): $ 69,572 - $114,099 ****The Texas Department of Transportation reserves the sole right in determining the level of position based on the applicant's work experience, education, skill level and all other appropriate factors, and based on business 65,104.00 114,099.00", "summaryDescription" : "Transportation Engineer or II - Design at Texas Department of Transportation. Skills: Roadway projects, Transportation infrastructure. Develop plans. Develop specifications", "createdAt" : "2026-06-14T21:53:15.756", "lastUpdated" : "2026-06-15T22:46:47.917", "ingestTimestamp" : "2026-06-14T21:53:15.756", "mongoId" : "6a18ce8858b93c861e2c812e", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 65104, "salaryAnnualMax" : 114099, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "Roadway projects", "Transportation infrastructure", "Project development", "Roadway design", "Texas transportation" ], "skillCount" : 5, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Government", "llmIndustryConfidence" : 0.95 }, { "id" : "6a30503bf292fd229ceedc3d", "title" : "Software Engineer, Agents & Automations", "company" : "Cohere", "industry" : "Product", "salary" : { "min" : 75000.0, "max" : 110000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Software Engineer in London, UK, adjusted for the technology industry and company size." }, "location" : "London", "locations" : [ "London", "United States", "Canada", "Europe" ], "timestamp" : "2026-06-16T11:24:39.602", "fingerprint" : "aadde5eb86d0ba21513b6cd03ab79d0143ced0cecc12e3900dc4ff13f3fa5605", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/cohere/4a3c3eb2-ae2e-4a86-a677-7bdecbc7d76e/application", "externalId" : "4a3c3eb2-ae2e-4a86-a677-7bdecbc7d76e", "industryFunction" : { }, "structuredLocations" : [ { "city" : "London", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "51.5074456,-0.1277653" } ], "locationText" : "London, United Kingdom", "employmentType" : "FULL_TIME", "technicalSkills" : "Python, TypeScript, React, Postgres, Kubernetes", "professionalSkills" : [ "Product judgment", "Technical decisions", "User impact" ], "hardSkillsList" : [ "Workflow builder", "Execution engine", "Integrations", "Debugging tools", "Observability", "Evaluation systems", "Feedback loops" ], "hardSkills" : [ { "name" : "Workflow builder", "level" : "intermediate" }, { "name" : "Execution engine", "level" : "intermediate" }, { "name" : "Integrations", "level" : "intermediate" }, { "name" : "Debugging tools", "level" : "intermediate" }, { "name" : "Observability", "level" : "intermediate" }, { "name" : "Evaluation systems", "level" : "intermediate" }, { "name" : "Feedback loops", "level" : "intermediate" } ], "majorSkills" : "Agents, Automations, AI, Platform engineering", "majorSkillsList" : [ "Agents", "Automations", "AI", "Platform engineering" ], "coreResponsibilities" : "Design core capabilities, Build core capabilities, Ship core capabilities, Maintain core capabilities, Build product features, Build platform features, Create agents, Run agents, Debug agents, Evaluate agents, Improve agents, Create automations, Run automations, Debug automations, Evaluate automations, Improve automations, Own features end-to-end, Work across the stack, Make practical decisions, Collaborate with product, Collaborate with design, Collaborate with modelling, Collaborate with customer-facing teams, Collaborate with engineers, Define outcomes, Ship measurable improvements, Use AI actively, Stay intellectually engaged, Accountable for quality, Accountable for reliability", "teamCollaboration" : "Cross-functional teams; Product teams; Design teams; Modelling teams; Customer-facing teams; Engineering teams", "domainKnowledge" : "Enterprise AI; AI systems; AI workspace platform; AI agents; Workplace tools; Enterprise systems; Natural-language intent; Complex automations", "domainList" : [ "enterprise-ai", "ai-systems", "ai-workspace-platform", "ai-agents", "workplace-tools", "enterprise-systems", "natural-language-intent", "complex-automations" ], "domainSpecificKnowledge" : [ "Enterprise AI", "AI systems", "AI workspace platform", "AI agents", "Workplace tools", "Enterprise systems", "Natural-language intent", "Complex automations" ], "communicationSkills" : "Document decisions", "problemSolvingSkills" : "Troubleshooting failed runs", "outcomesObjectives" : "Ship reliable software; Augment business workflows; Automate business workflows; Ship measurable improvements", "qualificationsBasic" : "Shipped and operated production software, Comfortable working across boundaries, Product judgment, High agency, Move quickly, Communicate clearly, Document important decisions, Collaborate well across functions, Advocate for a point of view, Change mind when evidence changes, Commit once decision is made, Use AI actively, Accountable for systems built", "qualificationsPreferred" : "Experience with Python, Experience with TypeScript, Experience with React, Experience with Postgres, Experience with Kubernetes", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Who are we? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company co-headquartered in Toronto and San Francisco, with key offices in London, New York City, Montreal, Seoul, Germany and Paris. Join us! WHY THIS ROLE? North is Cohere's cutting-edge AI workspace platform, designed to revolutionize the way enterprises utilize AI. It offers a secure and customizable environment, allowing companies to deploy AI while maintaining control over sensitive data. North integrates seamlessly with existing workflows, providing a trusted platform that connects AI agents with workplace tools and applications. The Agents & Automations team builds the platform inside North that lets customers create AI-powered workflows. Some of these workflows are structured automations, such as routing requests, keeping systems up-to-date, or triggering approvals. Others are more flexible agents that can gather context, use tools, make decisions, and take action across enterprise systems. As an engineer on this team, you will help build the core platform that makes this possible: the workflow builder, execution engine, integrations, debugging tools, observability, evaluation systems, and feedback loops that help customers understand and improve what they deploy. This is broad product engineering work across frontend, backend, and AI-powered systems. The goal is to ship reliable software that helps customers augment or automate real business workflows with agents and automations they can trust. AS A SOFTWARE ENGINEER, AGENTS & AUTOMATIONS, YOU WILL: - Design, build, ship, and maintain core capabilities for North’s Agents & Automations platform. - Build product and platform features that help users create, run, debug, evaluate, and improve agents and automations. - Own features end-to-end, from technical design through implementation, testing, launch, and iteration. - Work across the stack, from frontend product surfaces to backend systems, depending on what the product needs. - Make practical technical decisions that balance speed, quality, depth, and user impact. - Collaborate closely with product, design, modelling, customer-facing teams, and other engineers to define the right outcomes and ship measurable improvements. - Use AI actively in your work, while staying intellectually engaged and accountable for the quality and reliability of what you ship. Example problems you might work on include helping users turn natural-language intent into a working automation, adding richer analytics for deployed agents, creating better debugging tools for failed runs, or designing workflow primitives that make complex enterprise automations easier to build. YOU MAY BE A GOOD FIT IF: - You have built, shipped, and operated production software used by real users or customers. - You are comfortable working across backend, frontend, product, data, and infrastructure boundaries. - You have strong product judgment, pay attention to product details and care deeply about whether your work helps the end user. - You bring high agency: you act, tinker, learn quickly, and drive change without waiting for perfect instructions. - You move quickly while maintaining a high bar for correctness, maintainability, and user impact. - You communicate clearly, document important decisions, and collaborate well across functions. - You can advocate for a point of view, change your mind when the evidence changes, and commit once a decision is made. - You are excited to use AI to do your best work, while staying accountable for the systems you build. Our stack includes Python, TypeScript with React, Postgres, and Kubernetes. We care more about strong fundamentals, product judgment, agency, and learning ability than prior experience with every part of the stack. If this role sounds exciting, but your experience does not match every bullet, we still encourage you to apply. We value and celebrate diversity and strive to create an inclusive work environment for all. We welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs. HOW AND WHERE WE WORK: - Cohere is remote-friendly. We have offices in Toronto, San Francisco, New York City, London, Paris, Montreal, and more coming soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider.", "summaryDescription" : "Software Engineer, Agents & Automations at Cohere. Skills: Agents, Automations, AI, Platform engineering. Design core capabilities. Build core capabilities", "createdAt" : "2026-06-16T00:30:24.413", "lastUpdated" : "2026-06-16T11:24:39.602", "ingestTimestamp" : "2026-06-16T00:30:24.413", "mongoId" : "6a30503bf292fd229ceedc3d", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Workflow builder", "Execution engine", "Integrations", "Debugging tools", "Observability", "Evaluation systems", "Feedback loops", "Agents", "Automations", "AI", "Platform engineering", "Product judgment", "Technical decisions", "User impact", "Enterprise AI", "AI systems", "AI workspace platform", "AI agents", "Workplace tools", "Enterprise systems", "Natural-language intent", "Complex automations" ], "skillCount" : 22, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2a553074d8ee00a0606105", "title" : "Counsel, Product & Commercial (Rideshare & Autonomous Vehicles)", "company" : "Lyft", "industry" : "Technology", "salary" : { "min" : 176000.0, "max" : 220000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "San Francisco, California, United States", "locations" : [ "San Francisco", "California", "United States" ], "timestamp" : "2026-06-14T20:01:39.489", "fingerprint" : "49d139bc87def9a1f7bbf354bfe56dd4247ebd896b285fdb9f01e1fae4a2553a", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://app.careerpuck.com/job-board/lyft/job/8584969002?gh_jid=8584969002", "externalId" : "8584969002", "industryFunction" : { }, "structuredLocations" : [ { "city" : "San Francisco", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "37.7879363,-122.4075201" } ], "locationText" : "San Francisco, California, United States", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "professionalSkills" : [ "Product counseling", "Commercial transactions", "Legal advisor", "Thought leader", "Risk management", "Legal strategies" ], "hardSkillsList" : [ "Regulatory compliance", "Consumer protection", "Privacy issues", "Safety issues", "Contract interpretation", "Product legal guidance" ], "softSkillsList" : [ "Strategic", "Entrepreneurial", "Resourceful", "Problem-solver", "Judgment", "Business-minded", "Grace under pressure" ], "hardSkills" : [ { "name" : "Regulatory compliance", "level" : "intermediate" }, { "name" : "Consumer protection", "level" : "intermediate" }, { "name" : "Privacy issues", "level" : "intermediate" }, { "name" : "Safety issues", "level" : "intermediate" }, { "name" : "Contract interpretation", "level" : "intermediate" }, { "name" : "Product legal guidance", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Strategic" }, { "name" : "Entrepreneurial" }, { "name" : "Resourceful" }, { "name" : "Problem-solver" }, { "name" : "Judgment" }, { "name" : "Business-minded" }, { "name" : "Grace under pressure" } ], "majorSkills" : "Autonomous vehicles, Product development, Commercial partnerships", "majorSkillsList" : [ "Autonomous vehicles", "Product development", "Commercial partnerships" ], "coreResponsibilities" : "Serve as strategic thought leader, Shape autonomous vehicle deployment, Guide marketplace integration, Guide third-party platform partnerships, Mitigate regulatory issues, Mitigate consumer protection issues, Mitigate privacy issues, Mitigate safety issues, Provide full-lifecycle product legal guidance, Translate contract terms, Translate regulatory demands, Develop actionable product frameworks, Develop technical implementation strategies, Lead long-term initiatives, Drive autonomous mobility roadmap, Coordinate across legal silos, Coordinate across business silos, Ensure compliant execution, Advance Lyft priorities, Develop legal strategies, Drive legal strategies, Improve internal processes, Calibrate legal risk approach, Satisfy product iteration demands", "teamCollaboration" : "Partner with AV teams; Partner with Product teams; Partner with Engineering teams; Partner with Business Development teams; Partner with cross-functional organizations; Coordinate across legal silos; Coordinate across business silos; Collaborate with legal team members", "projectManagementSkills" : [ "Roadmap planning" ], "domainKnowledge" : "Autonomous vehicles; Consumer-focused partnerships; Emerging technologies; Product development; Regulatory demands; Marketplace integration; Third-party platforms", "domainList" : [ "autonomous-vehicles", "consumer-focused-partnerships", "emerging-technologies", "product-development", "regulatory-demands", "marketplace-integration", "third-party-platforms" ], "domainSpecificKnowledge" : [ "Autonomous vehicles", "Consumer-focused partnerships", "Emerging technologies", "Product development", "Regulatory demands", "Marketplace integration", "Third-party platforms" ], "communicationSkills" : "Communication skills", "problemSolvingSkills" : "Problem-solving capabilities", "specialRequirements" : "Work in-office 3 days/week, Work from anywhere 4 weeks/year", "qualificationsBasic" : "5+ years experience, J.D. from accredited law school, Active U.S. state bar membership, Product counseling experience, Commercial transactions experience, Legal counsel on product development, Legal counsel on emerging technologies, Legal counsel on AV initiatives, Experience at tech company, Experience in regulated industry, Craft creative legal solutions, Handle complex commercial negotiations", "qualificationsPreferred" : "Experience in highly regulated industry", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Lyft is seeking an experienced, strategic, and self-motivated attorney to join the Product & Commercial Legal Team to focus primarily on Lyft's autonomous vehicles (AV) initiatives and strategic consumer-focused partnerships. You’ll serve as a trusted legal advisor and thought leader, partnering closely with our Autonomous Vehicles, Product, Engineering, and Business Development teams to guide the development, commercialization, and deployment of cutting-edge AV technologies and product integrations. The legal issues you’ll encounter are revolutionary and always evolving. The successful candidate will be a pragmatic, entrepreneurial, and resourceful problem-solver who can build strong relationships, navigate uncharted territory, and craft creative legal frameworks where no obvious playbook exists. Responsibilities: Serve as a strategic thought leader to AV and Partnership product and business teams to actively shape and guide Lyft’s approach to autonomous vehicle deployment, marketplace integration, and third-party platform partnerships. Partner closely with cross-functional organizations—including Product, Engineering, Marketing, Operations, Public Policy, and Comms—to recognize and mitigate regulatory, consumer protection, privacy, and safety issues related to the development and commercialization of AV and partnership-driven products. Provide full-lifecycle product legal guidance, translating complex contract terms and regulatory demands into actionable product frameworks and technical implementation strategies. Lead and contribute to high-impact, long-term initiatives that drive Lyft’s broader autonomous mobility roadmap, coordinating across legal and business silos to ensure timely, compliant execution of public-facing programs. Advance Lyft’s priorities by connecting issues across business leaders and subject matter experts to develop and drive comprehensive, long-term legal strategies that balance innovation with risk management. Collaborate with legal team members to improve internal processes, calibrate the company’s approach to legal risk, and ensure rapid product iteration demands are satisfied. Experience: 5+ years of experience working in a top-tier law firm or in-house legal department, with a strong focus on product counseling or commercial transactions. J. D. from an accredited law school and active membership in at least one U. S. state bar. Experience providing legal counsel on product development, emerging technologies, or AV initiatives at a tech company or other highly regulated, innovation-driven industry. Comfort navigating uncharted territory—able to craft creative, practical legal solutions where the rules are unclear and there is no established precedent. Demonstrated experience handling high-stakes, structurally complex commercial negotiations with sophisticated counterparties. Excellent problem-solving capabilities, independent judgment, and communication skills, with a proven ability to provide firm but well-reasoned, business-minded advice to product and engineering leaders. Ability to think quickly on your feet, convey grace under pressure, and simultaneously manage complex product launch timelines and shifting priorities. Benefits: Great medical, dental, and vision insurance options with additional programs available when enrolled Mental health benefits Family building benefits Child care and pet benefits 401(k) plan with company match to help save for your future In addition to 12 observed holidays, salaried team members have discretionary paid time off, hourly team members have 15 days paid time off 18 weeks of paid parental leave. Biological, adoptive, and foster parents are all eligible Subsidized commuter benefits Monthly Lyft credits and complimentary Lyft Pink membership Lyft is an equal opportunity employer committed to an inclusive workplace that fosters belonging. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, age, genetic information, or any other basis prohibited by law. We also consider qualified applicants with criminal histories consistent with applicable federal, state and local law. Lyft highly values having employees working in-office to foster a collaborative work environment and company culture. This role will be in-office on a hybrid schedule — Team Members will be expected to work in the office 3 days per week on Mondays, Wednesdays, and Thursdays. Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role. Your recruiter can share more information about the various in-office perks Lyft offers. Additionally, hybrid roles have the flexibility to work from anywhere for up to 4 weeks per year. #Hybrid The expected base pay range for this position in the San Francisco area is $176,000 - $220,000, not inclusive of potential equity offering, bonus or benefits. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.", "summaryDescription" : "Counsel, Product & Commercial (Rideshare & Autonomous Vehicles) at Lyft. Skills: Autonomous vehicles, Product development, Commercial partnerships. Serve as strategic thought leader. Shape autonomous vehicle deployment", "postedDate" : "2026-06-11T17:26:59.340", "createdAt" : "2026-06-11T17:26:59.340", "lastUpdated" : "2026-06-14T20:01:39.489", "ingestTimestamp" : "2026-06-11T17:26:59.340", "mongoId" : "6a2a553074d8ee00a0606105", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 176000, "salaryAnnualMax" : 220000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Regulatory compliance", "Consumer protection", "Privacy issues", "Safety issues", "Contract interpretation", "Product legal guidance", "Strategic", "Entrepreneurial", "Resourceful", "Problem-solver", "Judgment", "Business-minded", "Grace under pressure", "Autonomous vehicles", "Product development", "Commercial partnerships", "Product counseling", "Commercial transactions", "Legal advisor", "Thought leader", "Risk management", "Legal strategies", "Roadmap planning", "Consumer-focused partnerships", "Emerging technologies", "Regulatory demands", "Marketplace integration", "Third-party platforms" ], "skillCount" : 28, "jobCategory" : "product", "jobSubcategory" : "product-&-commercial,-compliance,-ip-and-osac", "dataQualityScore" : 0.8888889, "daysOld" : 3, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "6a2ca44674d8ee00a09b1154", "title" : "Autonomous Vehicle Test Operator (CDL-A) 1st Shift (6-Month Temporary)", "company" : "Outrider", "industry" : "Logistics", "salary" : { "min" : 25.0, "max" : 30.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "San Antonio, Texas, United States", "locations" : [ "San Antonio", "Texas", "United States" ], "certifications" : [ "CDL-A license" ], "timestamp" : "2026-06-15T03:23:03.505", "fingerprint" : "dd8eb088b7d26bc45423a1601f670b0ec5becbbd2f4f6a3ffec6cdb0aaa44d2e", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/outrider/jobs/5255728008", "externalId" : "5255728008", "industryFunction" : { }, "structuredLocations" : [ { "city" : "San Antonio", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "29.4246002,-98.4951405" } ], "locationText" : "San Antonio, Texas, United States", "employmentType" : "TEMPORARY", "technicalSkills" : "Software, Web applications, Hardware", "professionalSkills" : [ "Safety inspections", "Root-cause analysis", "Preventative maintenance" ], "hardSkillsList" : [ "Vehicle operation", "Manual repairs" ], "hardSkills" : [ { "name" : "Vehicle operation", "level" : "intermediate" }, { "name" : "Manual repairs", "level" : "intermediate" } ], "majorSkills" : "Autonomous vehicle operation, Safety critical systems", "majorSkillsList" : [ "Autonomous vehicle operation", "Safety critical systems" ], "coreResponsibilities" : "Safely operate vehicles, Conduct daily inspections, Propose safety improvements, Determine on-spot responses, Provide test reports, Perform preventative maintenance, Assist in root-cause analysis, Perform minor repairs, Communicate issues, Comply with safety rules, Support positive work environment, Perform other tasks", "teamCollaboration" : "Engineering teams; Customer Operations; Technical Operations; Executive team members; Commercial teams; Operations teams; AV Dispatchers; Test Operations Lead", "domainKnowledge" : "Autonomous vehicle system; Automated driving system", "domainList" : [ "autonomous-vehicle-system", "automated-driving-system" ], "domainSpecificKnowledge" : [ "Autonomous vehicle system", "Automated driving system" ], "toolProficiency" : [ "MS Office", "Google Suite" ], "communicationSkills" : "Verbal test reports; Written test reports", "documentationSkills" : "Test reports", "problemSolvingSkills" : "Root-cause analysis", "specialRequirements" : "Up to 20% travel, Ascending and descending trucks, Lifting and transporting supplies, Using hand tools, Cleaning work areas, Standing for extended periods, Walking for extended periods, Bending for extended periods, Twisting for extended periods, Reaching for extended periods", "qualificationsBasic" : "Ability to back trailer, Clean driving record, Flexibility for work shifts, Unwavering focus on safety, Facility with desktop software, Excellent written communication, Excellent verbal communication", "qualificationsPreferred" : "Experience testing reliability, Experience testing durability, Understanding software development lifecycle, Familiarity with IT software, Comfort with Linux, Comfort with command-line interface", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "The Company Outrider is a software company that is automating distribution yards with electric, self-driving trucks. Our system eliminates manual tasks that are hazardous and repetitive while it improves safety and efficiency. Outrider’s mission is to drive the rapid adoption of sustainable freight transportation. We are a private company founded in 2018 and backed by NEA, 8VC, Koch Disruptive Technologies, NVIDIA, and other top-tier investors. Our customers are Fortune 200 companies and our autonomous trucks are already running in distribution yards. For more information, visit www.outrider.ai The Role THIS IS A TEMPORARY 6-MONTH POSITION TO START, WITH THE POSSIBILITY OF EXTENSION The Autonomous Vehicle Test Operator reports to the Shift Manager and is responsible for safely testing, operating, and monitoring Outrider’s autonomous vehicle system. This role ensures AVs in manual, partial, or full automation are operated safely by identifying risks, intervening when needed, and returning vehicles to a minimum-risk state. Operators closely observe vehicle performance both in-cab and through a software-based monitoring tool. The role requires sharp focus, quick decision-making, and a safety-first mindset. It is essential to advancing Outrider’s automation technology and delivering a safety-critical system for large-scale distribution yards. Available Shifts: Second Shift: Monday - Friday, 4:15PM - 12:45AM Duties and Responsibilities Safely operate vehicles, either in the cab or remotely via a web-based dispatching/monitoring user interface. Be a steward of the safety mindset: conduct daily on-site safety inspections of the trucks, equipment, and area, and proactively propose safety improvements Use keen judgement to determine appropriate on-the-spot responses to vehicle performance and safety issues Provide insightful and thorough verbal and/or written test reports on system performance - including vehicle and system data and/or observations related to automated driving system development - for Engineering, Customer Operations, Technical Operations and Executive team members Perform preventative maintenance checks, and services on autonomous vehicles, including but not limited to, preparation, installation, and maintenance of vehicle hardware Assist commercial, operations, and engineering teams in root-cause analysis of issues found during operation Perform minor repairs under the direction of the engineering staff and/or in accordance with OEM repair instructions Communicate issues and subjective performance to the AV Dispatchers, Test Operations Lead and peers on the Engineering Teams Comply with established safety rules, policies, and procedures, including wearing required safety equipment Demonstrate Outrider's values by supporting a positive and engaging work environment. Perform other tasks as assigned Be flexible around occasional travel to perform fieldwork, depending on customer locations and needs (up to 20%) Required Qualifications Desire and ability to understand Outrider’s autonomous vehicle system and technology through the constant reading of documentation and Q&A with colleagues Ability to back a trailer into a dock spot or parking spot. Clean driving record for the past 5 years Flexibility for day, night, and/or weekend work, as needed (and sometimes on short notice) Unwavering focus on safety and helping to explore and implement system improvements Facility with desktop software and web applications Excellent written and verbal communication skills Contagious energy and positivity in relationships and interactions Ideal Qualifications Experience testing reliability or durability of robotic systems, autonomous vehicles, or other automated distribution yard products Understanding of the software development life cycle, modern software/hardware/system testing methods, and continuous integration Experience working in a highly talented R&D or engineering environment Familiarity and comfort with IT software packages such as MS Office, Google Suite, Linux and command-line interface/CLI CDL-A license Work Environment and Physical Demands This role is primarily based in a warehouse setting with regular exposure to varying environmental conditions such as heat, cold, rain, and snow. This position involves regular exposure to moderate noise levels typical of a warehouse environment, including machinery and vehicle operations. Employees will be working around autonomous trucks and must be comfortable operating in an industrial environment. Physical requirements include: Ascending and descending in and out of trucks Lifting and transporting supplies as needed Using hand tools such as screwdrivers and wrenches Cleaning and maintaining work areas with supplies such as brooms Performing tasks that may require standing, walking, bending, twisting, or reaching for extended periods Compensation & Benefits Hourly Wage: $25.00 - $30 Actual compensation is based on several factors, including but not limited to job-related skills, qualifications, experience, and specific work location due to differences in the cost of labor Health Insurance Dental insurance Vision Insurance Parental Leave 401(K) Retirement Flexible Spending Account (FSA) Health Savings Account (HSA) Short-Term Disability Long–Term Disability Life insurance Pet insurance", "summaryDescription" : "Autonomous Vehicle Test Operator (CDL-A) 1st Shift (6-Month Temporary) at Outrider. Skills: Autonomous vehicle operation, Safety critical systems. Safely operate vehicles. Conduct daily inspections", "postedDate" : "2026-06-13T21:37:48.970", "createdAt" : "2026-06-13T21:37:48.970", "lastUpdated" : "2026-06-15T03:23:03.505", "ingestTimestamp" : "2026-06-13T21:37:48.970", "mongoId" : "6a2ca44674d8ee00a09b1154", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 52000, "salaryAnnualMax" : 62400, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "Vehicle operation", "Manual repairs", "Autonomous vehicle operation", "Safety critical systems", "Safety inspections", "Root-cause analysis", "Preventative maintenance", "Autonomous vehicle system", "Automated driving system", "CDL-A license", "MS Office", "Google Suite" ], "skillCount" : 12, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 } ], "status" : 200, "message" : "design and implement autonomous or semi autonomous agents using llms jobs", "metadata" : { "title" : "design and implement autonomous or semi autonomous agents using llms" }, "pagination" : { "page" : 0, "limit" : 50, "totalCount" : 40400, "totalPages" : 808, "hasNext" : true, "hasPrevious" : false } }

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