{ "count" : 59194, "data" : [ { "id" : "6a2cb05a74d8ee00a09d9b1f", "title" : "AI and Agentic AI Risk Management Senior Specialist", "company" : "Nu", "industry" : "Risk Management", "salary" : { "min" : 155000.0, "max" : 230000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior AI and Agentic AI Risk Management Specialist in the US FinTech industry, adjusted for seniority and company size." }, "location" : "USA", "locations" : [ "USA" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-15T11:53:12.381", "fingerprint" : "6a30dc3615fd9e2c2b5cd804828cc7ad30428947c29cb6520ee3c443da65a84f", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/nubank/14012e76-5a1f-4fa7-baa2-898812774514/application", "externalId" : "14012e76-5a1f-4fa7-baa2-898812774514", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "hybrid" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Python, R, Scala, Spark, SQL, Snowflake, BigQuery, Redshift, Databricks, Dbt, Fivetran, Airflow, Delta Lake, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, GCP, Azure", "professionalSkills" : [ "Risk management", "Model risk", "AI risk", "Agentic AI", "Generative AI", "LLM", "Data governance", "Platform architecture", "Quantitative analysis" ], "hardSkillsList" : [ "Statistical methods", "ML frameworks", "BI platforms", "Cloud data stacks", "Modelling skills", "Regression", "Classification", "Clustering", "Time-series", "A/B testing", "Causal inference", "AI quality", "Agent behavior", "Model behavior", "Platform controls", "Data privacy", "Fraud detection" ], "softSkillsList" : [ "Agency", "Adaptability", "Influencing" ], "hardSkills" : [ { "name" : "Statistical methods", "level" : "intermediate" }, { "name" : "ML frameworks", "level" : "intermediate" }, { "name" : "BI platforms", "level" : "intermediate" }, { "name" : "Cloud data stacks", "level" : "intermediate" }, { "name" : "Modelling skills", "level" : "intermediate" }, { "name" : "Regression", "level" : "intermediate" }, { "name" : "Classification", "level" : "intermediate" }, { "name" : "Clustering", "level" : "intermediate" }, { "name" : "Time-series", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" }, { "name" : "AI quality", "level" : "intermediate" }, { "name" : "Agent behavior", "level" : "intermediate" }, { "name" : "Model behavior", "level" : "intermediate" }, { "name" : "Platform controls", "level" : "intermediate" }, { "name" : "Data privacy", "level" : "intermediate" }, { "name" : "Fraud detection", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Agency" }, { "name" : "Adaptability" }, { "name" : "Influencing" } ], "majorSkills" : "AI Risk Management, Agentic AI Risk, Model Risk Management, Generative AI", "majorSkillsList" : [ "AI Risk Management", "Agentic AI Risk", "Model Risk Management", "Generative AI" ], "coreResponsibilities" : "Build risk management framework, Enhance risk management framework, Define inventory standards, Define assessment methodologies, Define control design, Define issue management, Inventory AI use cases, Map AI use cases, Surface gaps, Surface materiality, Surface critical risks, Define mitigation actions, Assess first-line monitoring, Perform independent assessments, Assess generative AI risks, Assess agentic workflow risks, Assess data risks, Assess assumption risks, Assess methodology risks, Assess testing risks, Assess behavior risks, Assess monitoring risks, Assess LLM risks, Identify model limitations, Identify failure modes, Identify emerging AI risks, Influence platform architecture, Influence embedded controls, Build Key Risk Indicators, Build metrics, Develop tools, Develop evals, Develop analyses, Develop playbooks, Serve as advisor, Evaluate new use cases, Discuss AI risk status, Report AI risk status, Champion AI", "teamCollaboration" : "First-line teams; Second line of defense; Third line of defense; Senior managers; Stakeholders", "projectManagementSkills" : [ "Agile" ], "domainKnowledge" : "AI quality; Agentic behavior; Platform cybersecurity; Data privacy; Fraud-specific matters; RAG pipelines; Tool use; Autonomy boundaries; Human oversight; Hallucination risk; Model drift; Model instability; Fairness; Robustness; SR 11-7; SR 26-2; OCC 2011-12; NIST AI RMF; EU AI Act", "domainList" : [ "ai-quality", "agentic-behavior", "platform-cybersecurity", "data-privacy", "fraud-specific-matters", "rag-pipelines", "tool-use", "autonomy-boundaries", "human-oversight", "hallucination-risk", "model-drift", "model-instability", "fairness", "robustness", "sr-11-7", "sr-26-2", "occ-2011-12", "nist-ai-rmf", "eu-ai-act" ], "domainSpecificKnowledge" : [ "AI quality", "Agentic behavior", "Platform cybersecurity", "Data privacy", "Fraud-specific matters", "RAG pipelines", "Tool use", "Autonomy boundaries", "Human oversight", "Hallucination risk", "Model drift", "Model instability", "Fairness", "Robustness", "SR 11-7", "SR 26-2", "OCC 2011-12", "NIST AI RMF", "EU AI Act" ], "toolProficiency" : [ "Tableau", "Power BI", "Looker", "Metabase", "Superset", "Qlik", "MicroStrategy", "SageMaker", "Vertex AI", "ML Studio" ], "communicationSkills" : "Written communication; Verbal communication; Technical communication; Regulator communication", "documentationSkills" : "Documentation; Presentations", "continuousLearning" : "Learning platform; Language learning", "innovationCreativity" : "Responsible innovation", "problemSolvingSkills" : "Synthesizing context; Making judgments", "qualificationsBasic" : "5+ years experience, SQL proficiency, Statistics degree, Computer Science degree, Mathematics degree", "qualificationsPreferred" : "PhD preferred, GCP Professional Data Engineer, AWS Data Analytics, Databricks Certified, Dbt Certified", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "ABOUT NU Nu is one of the largest digital financial services platforms in the world, serving 135 million customers across Brazil, Mexico, and Colombia. The company has been leading an industry transformation by leveraging data and proprietary technology to develop innovative products and services. Guided by its mission to fight complexity and empower people, Nu caters to customers’ complete financial journey, promoting financial access and advancement with responsible lending and transparency. The company is powered by an efficient and scalable business model that combines low cost to serve with growing returns. Nu’s impact has been recognized in multiple awards, including Time 100 Most Influential Companies, Fast Company’s Most Innovative Companies, and Forbes World’s Best Banks. Visit our institutional page: https://www.nu.com/2026-en ABOUT US Nu is one of the largest digital financial platforms in the world, with more than 122 million customers across Brazil, Mexico, and Colombia. Guided by our mission to fight complexity and empower people, we are redefining financial services in Latin America and this is still just the beginning of the purple future we're building. Listed on the New York Stock Exchange (NYSE: NU), we combine proprietary technology, data intelligence, and an efficient operating model to deliver financial products that are simple, accessible, and human. Our impact has been recognized by global rankings such as Time 100 Companies, Fast Company’s Most Innovative Companies, and Forbes World’s Best Bank. Visit our institutional page https://international.nubank.com.br/careers/ About the team At Nubank we heavily rely on Data, Machine Learning, and increasingly on Generative and Agentic AI to drive our strategy and deliver the best experience and products to our customers. The Model Risk team plays a crucial role in ensuring the risks associated with our models and AI systems are understood and under control. We are now building a dedicated AI Risk Management capability to address the emerging risks of advanced AI — including LLM-powered and autonomous agentic systems — with a focus on AI quality, model and agent behavior, and the platform controls that keep these systems safe and reliable across internal and customer-facing use cases. About the role This is a senior, hands-on technical position. You will help define what model risk management looks like for AI and Agentic AI at Nubank — building and enhancing the frameworks, not just inheriting them. You will perform independent assessments of AI systems for quality, behavior, and robustness, and help design the guardrails and platform-level controls that govern their safe use. You'll act as a credible technical peer to first-line engineering and AI development teams, providing practical guidance on AI risk without slowing responsible innovation. This role focuses on AI quality, agentic behavior, and platform controls; cybersecurity, data privacy, and fraud-specific matters sit with partner functions and are out of scope. What you will do AI Risk Framework & Governance - Build and continuously enhance the risk management framework for AI and Agentic AI systems, including inventory standards, assessment methodologies, control design, and issue management. - Inventory and map Nubank's AI use cases to surface gaps, materiality, and the most critical risks, and define prioritized mitigation actions. - Assess whether first-line monitoring is effective, proportionate to model risk, and sufficient to keep AI systems fit for purpose over time. Independent AI Assessment - Perform independent technical assessments across generative AI, and agentic workflows, covering data, assumptions, methodology, testing, behavior, and monitoring. - Assess risks in LLM-powered applications, including RAG pipelines, tool use, autonomy boundaries, model/agent quality, human oversight, and hallucination risk. - Identify and document model limitations, failure modes, and emerging AI risks, including drift, instability, fairness, and robustness concerns. Controls, Platform & Enablement - Influence first-line teams on platform architecture and embedded controls for the safe deployment and monitoring of AI. - Build Key Risk Indicators (KRIs) and metrics for continuous monitoring of AI risk. - Develop tools, evals, analyses, and playbooks (including AI-enabled automation) to improve the speed, scale, and effectiveness of AI governance and validation. Advisory & Advocacy - Serve as a trusted advisor across the AI/ML lifecycle, evaluating new use cases for materiality and governance requirements prior to deployment. - Discuss and report AI risk status and independent opinions to stakeholders, including senior managers and, where relevant, regulators. - Champion AI risk management as a strategic enabler of safe and scalable AI adoption, and build AI risk literacy across engineering, product, and risk teams. - Work in a multicultural, diverse, and highly skilled environment. Requirements we are looking for - Education: A bachelor's or master's degree in a quantitative field (computer science, data science, statistics, mathematics, engineering, or related). - Hands-on AI/ML experience: A track record developing or validating AI/ML models and systems, ideally a candidate who has moved from an AI / Machine Learning Engineer background into model risk, governance, or risk management. You don't need to have trained foundation models from scratch, but you need solid, current technical depth. - Strong technical foundations: Proficiency in Python, SQL, and modern ML tooling; familiarity with LLMs, RAG systems, prompt engineering, and AI agent frameworks. - Evaluation and testing: Experience evaluating and testing ML and generative AI systems, including custom evals, benchmarking, stress testing, and drift/degradation monitoring. - Risk management experience: Demonstrated experience in risk identification, control definition, and framework building; understanding of model risk governance principles and independent effective challenge. - Data skills: Experience working with large datasets and building dashboards and analyses to support risk visibility. - High agency and adaptability: Comfortable operating in ambiguity, synthesizing fragmented technical and business context into a clear view of how complex AI systems actually work, and making sound judgments without a complete playbook. - Influencing skills: Able to engage and align stakeholders across first and second lines of defense as a credible technical peer. - Communication: Strong written and verbal skills, you can explain AI risk to a data scientist and to a regulator, and use different language for each. - Advanced or fluent English: You will meet with partners and stakeholders across countries and prepare documentation and presentations in English. - PLUS: Experience in a 2nd or 3rd line of defense. - PLUS: Familiarity with regulatory Model Risk Management and AI frameworks (e.g., SR 11-7 / SR 26-2 / OCC 2011-12, NIST AI RMF, EU AI Act). Benefits - Opportunity of earning equity at Nu - Medical Insurance - Dental and Vision Insurance - Life Insurance and AD&D - Extended maternity and paternity leaves - Nucleo - Our learning platform of courses - NuLanguage - Our language learning program - NuCare - Our mental health and wellness assistance program - Extended maternity and paternity leaves - 401K - Saving Plans - Health Saving Account and Flexible Spending Account - Work-from-home Allowance - Relocation Assistance Package, if applicable. WORK MODEL FOR THIS ROLE Hybrid 2-3 times/week: Our hybrid work model brings us to the office at least twice a week, on strategic days designed to maximize team connection and collaboration. For more details, visit https://building.nubank.com/nu-hybrid-work-model/ By submitting an application, I acknowledge that I have read and understand the Nubank Candidate Privacy Notice. Nubank Candidate Privacy Notice (English https://building.nubank.com/privacy-notice-for-candidates// Portuguese https://building.nubank.com/pt-br/aviso-de-privacidade-para-candidatos/ / Spanish). https://nu.com.mx/aviso-de-privacidad-candidatos/", "summaryDescription" : "AI and Agentic AI Risk Management Senior Specialist at Nu. Skills: AI Risk Management, Agentic AI Risk, Model Risk Management, Generative AI. Build risk management framework. Enhance risk management framework", "createdAt" : "2026-06-13T23:50:19.096", "lastUpdated" : "2026-06-15T11:53:12.381", "ingestTimestamp" : "2026-06-13T23:50:19.096", "mongoId" : "6a2cb05a74d8ee00a09d9b1f", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 155000, "salaryAnnualMax" : 230000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Statistical methods", "ML frameworks", "BI platforms", "Cloud data stacks", "Modelling skills", "Regression", "Classification", "Clustering", "Time-series", "A/B testing", "Causal inference", "AI quality", "Agent behavior", "Model behavior", "Platform controls", "Data privacy", "Fraud detection", "Agency", "Adaptability", "Influencing", "AI Risk Management", "Agentic AI Risk", "Model Risk Management", "Generative AI", "Risk management", "Model risk", "AI risk", "Agentic AI", "LLM", "Data governance", "Platform architecture", "Quantitative analysis", "Agile", "Agentic behavior", "Platform cybersecurity", "Fraud-specific matters", "RAG pipelines", "Tool use", "Autonomy boundaries", "Human oversight", "Hallucination risk", "Model drift", "Model instability", "Fairness", "Robustness", "SR 11-7", "SR 26-2", "OCC 2011-12", "NIST AI RMF", "EU AI Act", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "Tableau", "Power BI", "Looker", "Metabase", "Superset", "Qlik", "MicroStrategy", "SageMaker", "Vertex AI", "ML Studio" ], "skillCount" : 64, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.97 }, { "id" : "6a305f96f292fd229cf7e607", "title" : "Senior AI FullStack Developer ( Python/React)", "company" : "CI&T", "industry" : "Prod_Centaurus+", "salary" : { "min" : 180000.0, "max" : 280000.0, "currency" : "BRL", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for Senior AI FullStack Developer in Brazil, adjusted for seniority and remote work." }, "location" : "Brazil", "locations" : [ "Brazil" ], "timestamp" : "2026-06-16T15:17:29.805", "fingerprint" : "475e1f0d70a09aa65b77b3c2ebb11d7396bc2ca2a8aa0a1f14d540783316cdb6", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/ciandt/130f999d-bd4e-425d-8fa8-9afca9f0b467/apply", "externalId" : "130f999d-bd4e-425d-8fa8-9afca9f0b467", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Brazil", "continent" : "sa", "workMode" : "remote" } ], "locationText" : "Brazil", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Python, React", "majorSkills" : "AI Deployment, Application modernization, Data & AI", "majorSkillsList" : [ "AI Deployment", "Application modernization", "Data & AI" ], "coreResponsibilities" : "Transform AI potential, Deploy AI solutions, Execute AI-native solutions, Build tech-integrated solutions, Accelerate innovation", "domainKnowledge" : "Agentic SDLC; AI Deployment; AI-native execution; Application modernization; Data & AI; Martech", "domainList" : [ "agentic-sdlc", "ai-deployment", "ai-native-execution", "application-modernization", "data-ai", "martech" ], "domainSpecificKnowledge" : [ "Agentic SDLC", "AI Deployment", "AI-native execution", "Application modernization", "Data & AI", "Martech" ], "continuousLearning" : "Continuous learning platform; Online learning platforms; Language learning platform", "outcomesObjectives" : "Build solutions with real impact", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "## Description At CI&T, we help large enterprises transform the potential of AI into real business impact with AI Deployment, AI-native execution, and tech-integrated business solutions. With 30 years of experience in technological transformation, we accelerate innovation with expertise in Agentic SDLC, Application modernization, Data & AI, Martech and Business strategy. We are 8,000 CI&Ters across more than 25 countries, collaborating to build solutions with real impact. AI is already part of how we work, evolve, and innovate every day. ## Additional Information Our benefits: -Health and dental insurance -Meal and food allowance -Childcare assistance -Extended paternity leave -Partnership with gyms and health and wellness professionals via Wellhub (Gympass) TotalPass; -Profit Sharing and Results Participation (PLR); -Life insurance -Continuous learning platform (CI&T University); -Discount club -Free online platform dedicated to physical, mental, and overall well-being -Pregnancy and responsible parenting course -Partnerships with online learning platforms -Language learning platform And many more! More details about our benefits here: https://ciandt.com/br/pt-br/carreiras At CI&T, inclusion starts at the first contact. If you are a person with a disability, it is important to present your assessment during the selection process. See which data needs to be included in the report by clicking here.This way, we can ensure the support and accommodations that you deserve. If you do not yet have the assessment, don't worry: we can support you in obtaining it. We have a dedicated Health and Well-being team, inclusion specialists, and affinity groups who will be with you at every stage. Count on us to make this journey side by side.", "summaryDescription" : "Senior AI FullStack Developer ( Python/React) at CI&T. Skills: AI Deployment, Application modernization, Data & AI. Transform AI potential. Deploy AI solutions", "postedDate" : "2026-06-15T18:28:41.629", "createdAt" : "2026-06-15T18:28:41.629", "lastUpdated" : "2026-06-16T15:17:29.805", "ingestTimestamp" : "2026-06-16T03:23:08.419", "mongoId" : "6a305f96f292fd229cf7e607", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "150k-200k", "hasSalary" : false, "allSkills" : [ "AI Deployment", "Application modernization", "Data & AI", "Agentic SDLC", "AI-native execution", "Martech" ], "skillCount" : 6, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a307f69f292fd229c058ed5", "title" : "Staff Software Engineer, Agentic AI, Trust and Safety", "salary" : { "min" : 240000.0, "max" : 360000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Staff Software Engineer in Kirkland, United States, adjusted for lead seniority and technology industry." }, "location" : "[Kirkland, WA, USA, [Kirkland, WA, USA], Kirkland, null, WA, US]", "locations" : [ "[Kirkland, WA, USA, [Kirkland, WA, USA], Kirkland, null, WA, US]" ], "timestamp" : "2026-06-16T11:43:17.325", "fingerprint" : "916797029975f92614f13aabc10a0697e4c45c0acc84afe3c07fa1495fc21925", "source" : "google", "language" : "en", "externalId" : "117289788767118022", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Kirkland", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6765382,-122.2070775" } ], "locationText" : "Kirkland, Washington, United States", "experienceMinYears" : 8, "experienceMaxYears" : 15, "experienceLevel" : "Staff", "summaryDescription" : "Staff Software Engineer, Agentic AI, Trust and Safety", "postedDate" : "2026-06-16T01:52:21.711", "createdAt" : "2026-06-16T01:52:21.711", "lastUpdated" : "2026-06-16T11:43:17.325", "ingestTimestamp" : "2026-06-16T01:52:21.711", "mongoId" : "6a307f69f292fd229c058ed5", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 240000, "salaryAnnualMax" : 360000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Lead", "dataQualityScore" : 0.5555556, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a305af3f292fd229cf57886", "title" : "Senior Agentic AI Engineer", "company" : "CodeRoad", "industry" : "Technology", "salary" : { "min" : 95000.0, "max" : 145000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Agentic AI Engineer in Bulgaria, adjusted for seniority and the technology industry." }, "location" : "Remote", "locations" : [ "Remote" ], "timestamp" : "2026-06-16T07:52:05.994", "fingerprint" : "292fe99d0becea3d5dbd75dd3088473517e82eca8f9274ba636f70a9d75e6de0", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/coderoad/jobs/4110608009", "externalId" : "4110608009", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Bulgaria", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Bulgaria", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Python, LangGraph, Crew AI, Agent Development Kit, N8N, Pinecone, Weaviate, Langtrace, Agent Ops, LangSmith, Chainlit, Streamlit, React, JavaScript, AWS, Azure, GCP, MLflow, Kubeflow", "professionalSkills" : [ "Technical leadership", "System design", "Code quality", "Mentorship" ], "hardSkillsList" : [ "Agentic AI development", "Vector database management", "Model optimization", "Multi-agent coordination", "Reinforcement learning", "Model deployment" ], "softSkillsList" : [ "Adaptability" ], "hardSkills" : [ { "name" : "Agentic AI development", "level" : "intermediate" }, { "name" : "Vector database management", "level" : "intermediate" }, { "name" : "Model optimization", "level" : "intermediate" }, { "name" : "Multi-agent coordination", "level" : "intermediate" }, { "name" : "Reinforcement learning", "level" : "intermediate" }, { "name" : "Model deployment", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Adaptability" } ], "majorSkills" : "Agentic AI, Autonomous systems, Multi-Cloud Platforms", "majorSkillsList" : [ "Agentic AI", "Autonomous systems", "Multi-Cloud Platforms" ], "coreResponsibilities" : "Lead architectural design, Provide technical guidance, Mentor junior developers, Design agentic AI systems, Develop autonomous decision-making, Develop multi-agent coordination, Build data pipelines, Manage vector databases, Utilize monitoring tools, Track system performance, Optimize models, Develop user-facing interfaces, Implement safeguards for bias mitigation, Implement safeguards for transparency, Implement safeguards for explainability, Partner with AI researchers, Partner with MLOps engineers, Partner with data scientists, Partner with product teams, Write clean code, Write maintainable code, Write documented code, Ensure scalability, Ensure reproducibility", "teamCollaboration" : "Cross-functional teams; AI researchers; MLOps engineers; Data scientists; Product teams", "projectManagementSkills" : [ "Version control" ], "domainKnowledge" : "Agentic AI; Autonomous AI; Multi-agent systems; Ethical AI; Bias mitigation; Explainability; GDPR; AI standards", "domainList" : [ "agentic-ai", "autonomous-ai", "multi-agent-systems", "ethical-ai", "bias-mitigation", "explainability", "gdpr", "ai-standards" ], "domainSpecificKnowledge" : [ "Agentic AI", "Autonomous AI", "Multi-agent systems", "Ethical AI", "Bias mitigation", "Explainability", "GDPR", "AI standards" ], "toolProficiency" : [ "Git", "LangGraph", "Crew AI", "Agent Development Kit", "N8N", "Pinecone", "Weaviate", "Langtrace", "Agent Ops", "LangSmith", "Chainlit", "Streamlit" ], "communicationSkills" : "Explain technical concepts", "documentationSkills" : "Well-documented code", "innovationCreativity" : "Create innovative AI agents", "problemSolvingSkills" : "Troubleshooting", "specialRequirements" : "East/West Coast time zones", "outcomesObjectives" : "Drive business value; Adhere to reliability standards; Adhere to transparency standards; Adhere to ethical responsibility standards", "qualificationsBasic" : "5+ years software development, 2-3 years AI/ML systems, Design and architect complex solutions, Python proficiency, Ethical AI knowledge", "qualificationsPreferred" : "React knowledge a plus, Modern JavaScript frameworks a plus, MLOps tools familiarity, Cloud platforms familiarity", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "The Team At Coderoad, we're more than just a software development company—we're your gateway to the global tech world. Whether you're looking to skill up or level up your career, we offer the challenges you’ve been searching for. We provide end-to-end software development services and give you the opportunity to work on exciting, real-world projects in a supportive environment. Whether it's staff augmentation, dedicated IT teams, or general software engineering, we have opportunities for everyone to challenge themselves and take their career to the next level! We are seeking a highly skilled Senior Agentic AI Developer to design, build, and deploy cutting-edge autonomous AI systems with a focus on agentic capabilities. The ideal candidate will have deep expertise in developing and integrating agentic AI solutions, connecting to Multi-Cloud Platforms (MCP), and leveraging specialized tools to deliver scalable, ethical, and high-performing AI applications. You will work closely with cross-functional teams to create innovative AI agents that drive business value while adhering to the highest standards of reliability, transparency, and ethical responsibility. Position Location - Latam (Remote) Time Zone Requirements - This team operates on the East/West Coast time zones. How you’ll make an impact: Architectural Design & Technical Leadership: Lead the architectural design of complex agentic AI solutions, ensuring they are robust, scalable, and secure. Provide technical guidance and mentorship to junior developers, guiding them on best practices, code quality, and advanced development techniques. Agentic AI Development: Design and develop advanced agentic AI systems with autonomous decision-making, adaptability, and multi-agent coordination, using frameworks like LangGraph, Crew AI, Agent Development Kit, and N8N. Vector Database Management: Build and manage data pipelines using vector databases such as Pinecone, Weaviate, or similar, to support efficient storage, retrieval, and processing of high-dimensional data for agentic AI applications. Monitoring & Optimization: Utilize monitoring tools like Langtrace, Agent Ops, and LangSmith to track the performance, health, and decision-making accuracy of agentic AI systems in production. Proactively optimize models to address issues like latency, drift, or bias. Front-End Development: Develop user-facing interfaces for agentic AI applications using tools like Chainlit and Streamlit, ensuring intuitive and responsive user experiences. Apply React-based knowledge to enhance front-end functionality when needed. Ethical AI Implementation: Ensure agentic AI systems adhere to ethical guidelines and regulatory standards, implementing safeguards for bias mitigation, transparency, and explainability in autonomous decision-making processes. Collaboration: Partner with AI researchers, MLOps engineers, data scientists, and product teams to align development efforts with project goals, facilitating iterative development and seamless integration of agentic AI solutions. Code Quality & Documentation: Write clean, maintainable, and well-documented code, adhering to best practices for version control (e.g., Git) and ensuring scalability and reproducibility of AI solutions. Qualifications: Experience: 5+ years of software development experience, with at least 2-3 years focused on developing AI/ML or agentic AI systems. Architectural & Mentorship Skills: Demonstrated ability to design and architect complex software solutions. Experience leading projects, mentoring junior developers, and driving a team toward a unified technical vision. Agentic AI Tools: (6months)Hands-on expertise with agentic AI frameworks and tools, including LangGraph, Crew AI, Agent Development Kit, and N8N for building and orchestrating autonomous AI agents. Vector Databases: (1 -2 years) Strong experience with vector databases such as Pinecone, Weaviate, or similar, for managing high-dimensional data in AI applications. Monitoring Tools: (6 months ) Proficiency with monitoring tools like Langtrace, Agent Ops, and LangSmith for tracking and optimizing agentic AI system performance. Front-End Development: Experience building user interfaces with Chainlit and Streamlit. Knowledge of React and modern JavaScript frameworks is a strong plus. Technical Expertise: Deep knowledge of AI/ML concepts, including reinforcement learning, multi-agent systems, and model deployment. Proficiency in Python and familiarity with MLOps tools (e.g., MLflow, Kubeflow) and cloud platforms (e.g., AWS, Azure, GCP). Ethical AI Knowledge: Understanding of ethical AI principles, including bias detection, explainability, and compliance with regulations like GDPR or AI-specific standards. Collaboration & Communication: Excellent communication and teamwork skills, with the ability to work with cross-functional teams and explain complex technical concepts to non-technical stakeholders. What you’ll love: 100% Remote Holidays Off Paid Time Off Health insurance assistance program. Competitive Pay (USD) Excellent teamwork and work environment Training", "summaryDescription" : "Senior Agentic AI Engineer at CodeRoad. Skills: Agentic AI, Autonomous systems, Multi-Cloud Platforms. Lead architectural design. Provide technical guidance", "postedDate" : "2026-06-15T23:22:36.695", "createdAt" : "2026-06-15T23:22:36.695", "lastUpdated" : "2026-06-16T07:52:05.994", "ingestTimestamp" : "2026-06-15T23:22:36.695", "mongoId" : "6a305af3f292fd229cf57886", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Agentic AI development", "Vector database management", "Model optimization", "Multi-agent coordination", "Reinforcement learning", "Model deployment", "Adaptability", "Agentic AI", "Autonomous systems", "Multi-Cloud Platforms", "Technical leadership", "System design", "Code quality", "Mentorship", "Version control", "Autonomous AI", "Multi-agent systems", "Ethical AI", "Bias mitigation", "Explainability", "GDPR", "AI standards", "Git", "LangGraph", "Crew AI", "Agent Development Kit", "N8N", "Pinecone", "Weaviate", "Langtrace", "Agent Ops", "LangSmith", "Chainlit", "Streamlit" ], "skillCount" : 34, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a305098f292fd229cef28d2", "title" : "Product Owner, Agentic AI", "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", "Chicago, Illinois", "Toronto, Ontario", "New York, New York", "Boston, Massachusetts", "Los Angeles, California", "Atlanta, Georgia" ], "timestamp" : "2026-06-16T11:10:33.790", "fingerprint" : "c2a6f5f22a4cbfbe8abcb08c0534f6abc58d8738b2e6e4534aba44aef4746fda", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/jerry.ai/bd0b4d20-a66c-4f6f-9a83-a5a8faa987ce/application", "externalId" : "bd0b4d20-a66c-4f6f-9a83-a5a8faa987ce", "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" : 4, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "LLMs, APIs", "professionalSkills" : [ "System design", "API design", "System architecture" ], "hardSkillsList" : [ "Prompt strategy", "Evaluation frameworks", "Guardrails" ], "hardSkills" : [ { "name" : "Prompt strategy", "level" : "intermediate" }, { "name" : "Evaluation frameworks", "level" : "intermediate" }, { "name" : "Guardrails", "level" : "intermediate" } ], "majorSkills" : "Product strategy, Roadmap, User stories, AI platform", "majorSkillsList" : [ "Product strategy", "Roadmap", "User stories", "AI platform" ], "coreResponsibilities" : "Lead end-to-end development AI platform, Lead end-to-end development customer experiences, Partner with engineers design prompt strategies, Partner with engineers design evaluation frameworks, Partner with engineers design guardrails, Serve as technical translator, Establish AI best practices, Establish platform standards, Drive systematic improvement answer quality, Drive systematic improvement customer satisfaction, Drive systematic improvement automation rates, Work with partners OpenAI evaluate voice models, Work with partners OpenAI deploy voice models, Work with partners OpenAI evaluate workflow automation, Work with partners OpenAI deploy workflow automation", "teamCollaboration" : "Cross-functional collaboration; Partner with engineers; Work with partners OpenAI", "projectManagementSkills" : [ "Roadmap", "User stories" ], "domainKnowledge" : "Agentic AI; LLM systems; Voice models; Workflow automation", "domainList" : [ "agentic-ai", "llm-systems", "voice-models", "workflow-automation" ], "domainSpecificKnowledge" : [ "Agentic AI", "LLM systems", "Voice models", "Workflow automation" ], "communicationSkills" : "Technical translator", "innovationCreativity" : "Pioneer new model capabilities", "problemSolvingSkills" : "Optimistic problem-solver; Systems thinker", "outcomesObjectives" : "Improve answer quality; Improve customer satisfaction; Improve automation rates", "qualificationsBasic" : "4+ years experience management consulting, 4+ years technical product management, Proven interest modern LLM systems, Ability navigate technical tradeoffs, Lead by example implementing AI platform standards, Track record taking complex strategic ideas into scalable production-grade products", "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" : "Product Owner, Agentic AI at Jerry.ai. Skills: Product strategy, Roadmap, User stories, AI platform. Lead end-to-end development AI platform. Lead end-to-end development customer experiences", "createdAt" : "2026-06-16T00:29:57.348", "lastUpdated" : "2026-06-16T11:10:33.790", "ingestTimestamp" : "2026-06-16T00:29:57.348", "mongoId" : "6a305098f292fd229cef28d2", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 160000, "salaryAnnualMax" : 200000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Prompt strategy", "Evaluation frameworks", "Guardrails", "Product strategy", "Roadmap", "User stories", "AI platform", "System design", "API design", "System architecture", "Agentic AI", "LLM systems", "Voice models", "Workflow automation" ], "skillCount" : 14, "jobCategory" : "product", "jobSubcategory" : "product_management", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a305930f292fd229cf45a13", "title" : "Product Owner, Agentic AI", "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", "Chicago, Illinois", "Toronto, Ontario", "New York, New York", "Boston, Massachusetts", "Los Angeles, California", "Atlanta, Georgia" ], "timestamp" : "2026-06-16T10:37:11.878", "fingerprint" : "2946551d2746c86f197363b558536b992cc1010259be8044230f7369aa0da02c", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/Jerry.ai/bd0b4d20-a66c-4f6f-9a83-a5a8faa987ce/application", "externalId" : "bd0b4d20-a66c-4f6f-9a83-a5a8faa987ce", "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" : 4, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "LLMs, APIs", "professionalSkills" : [ "System design", "API design", "System architecture" ], "hardSkillsList" : [ "Prompt strategies", "Evaluation frameworks", "Workflow automation" ], "hardSkills" : [ { "name" : "Prompt strategies", "level" : "intermediate" }, { "name" : "Evaluation frameworks", "level" : "intermediate" }, { "name" : "Workflow automation", "level" : "intermediate" } ], "majorSkills" : "Product strategy, Roadmap development, User stories, Cross-functional collaboration", "majorSkillsList" : [ "Product strategy", "Roadmap development", "User stories", "Cross-functional collaboration" ], "coreResponsibilities" : "Lead end-to-end development AI platform, Lead end-to-end development customer experiences, Partner with engineers design prompt strategies, Partner with engineers design evaluation frameworks, Partner with engineers design guardrails, Serve technical translator between engineering organization, Establish AI best practices, Establish platform standards, Drive systematic improvement answer quality, Drive systematic improvement customer satisfaction, Drive systematic improvement automation rates, Work with partners evaluate deploy next generation voice, Work with partners deploy workflow automation", "teamCollaboration" : "Cross-functional teams; Engineering teams; Product teams", "projectManagementSkills" : [ "Roadmap development" ], "domainKnowledge" : "Agentic AI; LLM systems; Voice models; Workflow automation", "domainList" : [ "agentic-ai", "llm-systems", "voice-models", "workflow-automation" ], "domainSpecificKnowledge" : [ "Agentic AI", "LLM systems", "Voice models", "Workflow automation" ], "communicationSkills" : "Technical translation", "innovationCreativity" : "Pioneer new model capabilities", "problemSolvingSkills" : "Problem-solving", "outcomesObjectives" : "Improve answer quality; Improve customer satisfaction; Improve automation rates", "qualificationsBasic" : "4+ years experience management consulting, 4+ years technical product management, Proven interest modern LLM systems, Ability navigate technical tradeoffs, Lead by example implementing AI platform standards, Track record taking complex strategic ideas into scalable production-grade products", "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" : "Product Owner, Agentic AI at Jerry.ai. Skills: Product strategy, Roadmap development, User stories, Cross-functional collaboration. Lead end-to-end development AI platform. Lead end-to-end development customer experiences", "createdAt" : "2026-06-16T00:26:49.222", "lastUpdated" : "2026-06-16T10:37:11.878", "ingestTimestamp" : "2026-06-16T00:26:49.222", "mongoId" : "6a305930f292fd229cf45a13", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 160000, "salaryAnnualMax" : 200000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Prompt strategies", "Evaluation frameworks", "Workflow automation", "Product strategy", "Roadmap development", "User stories", "Cross-functional collaboration", "System design", "API design", "System architecture", "Agentic AI", "LLM systems", "Voice models" ], "skillCount" : 13, "jobCategory" : "product", "jobSubcategory" : "product_management", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "68ed10ab70f0b99d58e7ba6d", "title" : "Agentic AI Teacher", "company" : "Amazon.com Services LLC", "industry" : "Database Administration, Machine Learning Data Operatio, Artificial Intelligence", "salary" : { "min" : 40400.0, "max" : 86500.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Boston, Massachusetts, USA", "locations" : [ "Boston, Massachusetts, USA" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T05:42:03.741", "fingerprint" : "6773eda641049df65d94171f71b24b9c07718697d99fc61da135d6485bb6f6b9", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3105132/apply", "externalId" : "28d1bcb5-eb2a-4e62-a9f9-318db65d629d", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Boston", "state" : "Massachusetts", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "42.3588336,-71.0578303" } ], "locationText" : "Boston, Massachusetts, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "technicalSkills" : "SQL, Python, R, Spark, AWS, GCP, Azure, SageMaker, Vertex AI, ML Studio, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, Tableau, Power BI, Looker", "professionalSkills" : [ "Data modeling", "Statistical analysis", "Machine learning", "Business intelligence", "Analytics engineering", "Quantitative analysis" ], "hardSkillsList" : [ "Data science", "Data engineering", "ML/AI", "BI", "Analytics engineering", "Quantitative analysis", "Statistical methods", "ML frameworks", "BI platforms", "Cloud data stacks", "Modelling skills" ], "hardSkills" : [ { "name" : "Data science", "level" : "intermediate" }, { "name" : "Data engineering", "level" : "intermediate" }, { "name" : "ML/AI", "level" : "intermediate" }, { "name" : "BI", "level" : "intermediate" }, { "name" : "Analytics engineering", "level" : "intermediate" }, { "name" : "Quantitative analysis", "level" : "intermediate" }, { "name" : "Statistical methods", "level" : "intermediate" }, { "name" : "ML frameworks", "level" : "intermediate" }, { "name" : "BI platforms", "level" : "intermediate" }, { "name" : "Cloud data stacks", "level" : "intermediate" }, { "name" : "Modelling skills", "level" : "intermediate" } ], "majorSkills" : "Data science, Machine learning, Data engineering, Business intelligence", "majorSkillsList" : [ "Data science", "Machine learning", "Data engineering", "Business intelligence" ], "coreResponsibilities" : "Develop and deploy machine learning models, Build and maintain data pipelines, Design and implement BI solutions, Perform quantitative analysis, Collaborate with stakeholders", "teamCollaboration" : "Cross-functional teams; Stakeholders", "toolProficiency" : [ "SQL", "Python", "R", "Spark", "AWS", "GCP", "Azure", "SageMaker", "Vertex AI", "ML Studio", "Scikit-learn", "TensorFlow", "PyTorch", "XGBoost", "LightGBM", "Hugging Face", "MLflow", "Tableau", "Power BI", "Looker" ], "qualificationsBasic" : "5+ years of experience in data science, Proficiency in SQL, Experience with Python or R", "qualificationsPreferred" : "PhD preferred, Experience with AWS, GCP, or Azure, Experience with ML frameworks, Experience with BI tools", "remoteFriendly" : false, "workSiteFlexibility" : "onsite", "rawDescription" : "Amazon is investing in generative AI and the responsible development and deployment of Large Language Models (LLMs) across all of our businesses. As part of the Data Team, you will deliver high-quality training data to improve and expand our proprietary LLM capabilities. We seek innovative candidates who can solve complex problems and drive technological advancement in AI. Your work will directly impact how Amazon's customers interact with our AI systems across multiple business lines. Key job responsibilities - Create and annotate high-quality complex training data in multiple modalities (text, image, video) on various topics, including technical or science-related content - Write grammatically correct texts in different styles with various degrees of creativity, strictly adhering to provided guidelines - Utilize Python and SQL to automate and optimize data processing workflows - Interpret technical documentation to implement solutions accurately - Dive deep into issues and implement solutions independently - Identify and report tooling bugs and suggest improvements - Make sound judgments and logical decisions when faced with ambiguous or incomplete information About the team Amazon strives to be the world’s most customer-centric company, where customers can research and purchase anything they might want online or offline. We set big goals and are looking for people who can help us reach and exceed them. The AGI organization provides AI capabilities for a variety of Amazon products and searches. We provide secure, flexible, cost effective, and high-quality data development services to our customers, that enables them to build advanced ML models. Basic Qualifications: - Bachelor’s degree in a relevant field or equivalent professional experience - Advanced English-level language proficiency (C1+ or equivalent fluency by Common European Framework of Reference for Languages (CEFR) standards) - Proven experience working with written language data, including experience with annotation, and other forms of data markup - Familiarity with critical concepts such as Python, scripting language, data structures etc Preferred Qualifications: - Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy - Experience managing stakeholder relationships across departments - Advanced-level proficiency in multiple languages (C1+ or equivalent fluency by Common European Framework of Reference for Languages (CEFR) standards) Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 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 $40,400/year in our lowest geographic market up to $86,500/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" : "Agentic AI Teacher at Amazon.com Services LLC. Skills: Data science, Machine learning, Data engineering, Business intelligence. Develop and deploy machine learning models. Build and maintain data pipelines", "postedDate" : "2026-06-14T19:07:43.254", "createdAt" : "2026-06-14T19:07:43.254", "lastUpdated" : "2026-06-16T05:42:03.741", "ingestTimestamp" : "2026-06-14T19:07:43.254", "mongoId" : "68ed10ab70f0b99d58e7ba6d", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3105132/apply", "salaryAnnualMin" : 40400, "salaryAnnualMax" : 86500, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Data science", "Data engineering", "ML/AI", "BI", "Analytics engineering", "Quantitative analysis", "Statistical methods", "ML frameworks", "BI platforms", "Cloud data stacks", "Modelling skills", "Machine learning", "Business intelligence", "Data modeling", "Statistical analysis", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "SQL", "Python", "R", "Spark", "AWS", "GCP", "Azure", "SageMaker", "Vertex AI", "ML Studio", "Scikit-learn", "TensorFlow", "PyTorch", "XGBoost", "LightGBM", "Hugging Face", "MLflow", "Tableau", "Power BI", "Looker" ], "skillCount" : 39, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a308d16f292fd229c09ef8c", "title" : "AI Sales Executive - Agentic AI Loops", "company" : "IFS", "industry" : "Information Technology And Services", "salary" : { "min" : 95000.0, "max" : 140000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior AI Sales Executive in Staines-upon-Thames, UK, adjusted for the technology industry and company size." }, "location" : "Staines-upon-Thames, England, United Kingdom", "locations" : [ "Staines-upon-Thames", "England", "United Kingdom" ], "timestamp" : "2026-06-16T15:36:53.377", "fingerprint" : "87ef17aede6d0a8696594aa7f511a33410428c70553eb00febcec299c0ed27fd", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/IFS1/744000132160469-ai-sales-executive-agentic-ai-loops", "externalId" : "744000132160469", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Staines-upon-Thames", "state" : "England", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "51.4340120,-0.5110440" } ], "locationText" : "Staines-upon-Thames, England, United Kingdom", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "coreResponsibilities" : "Drive revenue growth, Manage sales pipeline, Develop client relationships, Close deals, Meet sales targets, Identify new business opportunities, Collaborate with internal teams, Provide market feedback", "teamCollaboration" : "Internal teams", "outcomesObjectives" : "Achieve revenue targets; Expand market share", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "IFS is a billion-dollar revenue company with 7000+ employees on all continents. Our leading AI technology is the backbone of our award-winning enterprise software solutions, enabling our customers to be their best when it really matters–at the Moment of Service™. Our commitment to internal AI adoption has allowed us to stay at the forefront of technological advancements, ensuring our colleagues can unlock their creativity and productivity, and our solutions are always cutting-edge. At IFS, we’re flexible, we’re innovative, and we’re focused not only on how we can engage with our customers but on how we can make a real change and have a worldwide impact. We help solve some of society’s greatest challenges, fostering a better future through our agility, collaboration, and trust. We celebrate diversity and understand our responsibility to reflect the diverse world we work in. We are committed to promoting an inclusive workforce that fully represents the many different cultures, backgrounds, and viewpoints of our customers, our partners, and our communities. As a truly international company serving people from around the globe, we realize that our success is tantamount to the respect we have for those different points of view. By joining our team, you will have the opportunity to be part of a global, diverse environment; you will be joining a winning team with a commitment to sustainability; and a company where we get things done so that you can make a positive impact on the world. We’re looking for innovative and original thinkers to work in an environment where you can #MakeYourMoment so that we can help others make theirs. With the power of our AI-driven solutions, we empower our team to change the status quo and make a real difference. If you want to change the status quo, we’ll help you make your moment. Join Team Purple. Join IFS. Job Description Are you a high-energy sales professional with a passion for AI autonomy and intelligent agents? IFS is looking for an AI Sales Specialist – Agentic to drive market growth of IFS Loops , our agentic AI platform, across industrial markets. This is a hunter role focused on introducing autonomous, AI-driven workflows into complex enterprise environments, targeting both existing IFS customers and the wider market. You’ll drive execution of the GTM, supported by regional sales teams to position IFS Loops as a transformational layer that augments human decision-making with agentic intelligence. What You’ll Do * Hunt into strategic industrial accounts both organically (demand you generate yourself) and via planned campaigns and install base motions, driving net-new revenue for IFS Loops and agentic AI capabilities. * Lead consultatively grounded conversations around agentic AI, orchestration, autonomous workflows, and decision intelligence. * Position IFS Loops as a differentiated platform enabling enterprises to operationalize AI beyond copilots and dashboards. * Engage senior business stakeholders, including CEO, CFO, CIOs, CTOs, COOs, and Heads of Digital, with confidence and credibility. * Partner closely with core account teams, AI product specialists, and solution engineering in a matrixed GTM model. ## Qualifications Required: * Proven sales hunter with success selling complex enterprise software. * Demonstrated experience selling AI solutions , ideally including agentic systems, automation platforms, or intelligent workflow technologies. * Strong understanding of how AI agents integrate with enterprise systems and operational processes. * A technically credible, consultative seller who can translate emerging AI concepts into business outcomes. * Curious, adaptable, and deeply engaged with the evolution of agentic AI and enterprise automation. Preferred: * Experience selling into industrial markets such as manufacturing, energy, aerospace & defense, engineering, and/or construction. * Preferred experience, launching or scaling new or acquired offerings into new markets. At IFS, we’re redefining how AI delivers value - moving from insight to autonomous action. As part of our agentic AI growth strategy, you’ll have the opportunity to: * Sell one of the market’s most forward-looking enterprise agentic AI platforms with packaged digital workers. * Shape how industrial organizations adopt and trust autonomous AI. * Work within a fast-scaling, high-visibility AI business. * Partner with global enterprises tackling mission-critical operations. ## Additional Information We embrace flexibility and hybrid work opportunities to support diverse needs and lifestyles, while also valuing inclusive workplace experiences. By fostering a sense of community, we drive innovation, strengthen connections, and nurture belonging. Our commitment ensures you can work in a way that suits you best, while also engaging with colleagues to share ideas and build meaningful relationships.", "summaryDescription" : "AI Sales Executive - Agentic AI Loops at IFS. Drive revenue growth. Manage sales pipeline", "postedDate" : "2026-06-15T09:56:32.000", "createdAt" : "2026-06-16T03:36:44.225", "lastUpdated" : "2026-06-16T15:36:53.377", "ingestTimestamp" : "2026-06-16T03:36:44.225", "mongoId" : "6a308d16f292fd229c09ef8c", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "sales", "jobSubcategory" : "revenue", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.97 }, { "id" : "6a30685df292fd229cfc3aa9", "title" : "AI Sales Executive - Agentic AI Loops", "company" : "IFS", "industry" : "Information Technology And Services", "salary" : { "min" : 95000.0, "max" : 140000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior AI Sales Executive in Staines-upon-Thames, United Kingdom, adjusted for the technology industry and company size." }, "location" : "Staines-upon-Thames, England, United Kingdom", "locations" : [ "Staines-upon-Thames", "England", "United Kingdom" ], "timestamp" : "2026-06-16T10:15:38.569", "fingerprint" : "d15e32846b83c806c9fdfec9be356ca104f5ed08f5c789c2d5264b508e1156ad", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/IFS1/744000132160469-ai-sales-executive-agentic-ai-loops", "externalId" : "744000132160469", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Staines-upon-Thames", "state" : "England", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "51.4340120,-0.5110440" } ], "locationText" : "Staines-upon-Thames, England, United Kingdom", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "coreResponsibilities" : "Drive revenue growth, Manage sales pipeline, Develop client relationships, Close deals, Meet sales targets, Identify new business opportunities, Present solutions to clients, Negotiate contracts", "teamCollaboration" : "Sales team; Cross-functional teams", "communicationSkills" : "Client presentations; Negotiation", "specialRequirements" : "Travel required", "outcomesObjectives" : "Achieve sales quotas; Expand market share", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "IFS is a billion-dollar revenue company with 7000+ employees on all continents. Our leading AI technology is the backbone of our award-winning enterprise software solutions, enabling our customers to be their best when it really matters–at the Moment of Service™. Our commitment to internal AI adoption has allowed us to stay at the forefront of technological advancements, ensuring our colleagues can unlock their creativity and productivity, and our solutions are always cutting-edge. At IFS, we’re flexible, we’re innovative, and we’re focused not only on how we can engage with our customers but on how we can make a real change and have a worldwide impact. We help solve some of society’s greatest challenges, fostering a better future through our agility, collaboration, and trust. We celebrate diversity and understand our responsibility to reflect the diverse world we work in. We are committed to promoting an inclusive workforce that fully represents the many different cultures, backgrounds, and viewpoints of our customers, our partners, and our communities. As a truly international company serving people from around the globe, we realize that our success is tantamount to the respect we have for those different points of view. By joining our team, you will have the opportunity to be part of a global, diverse environment; you will be joining a winning team with a commitment to sustainability; and a company where we get things done so that you can make a positive impact on the world. We’re looking for innovative and original thinkers to work in an environment where you can #MakeYourMoment so that we can help others make theirs. With the power of our AI-driven solutions, we empower our team to change the status quo and make a real difference. If you want to change the status quo, we’ll help you make your moment. Join Team Purple. Join IFS. Job Description Are you a high-energy sales professional with a passion for AI autonomy and intelligent agents? IFS is looking for an AI Sales Specialist – Agentic to drive market growth of IFS Loops , our agentic AI platform, across industrial markets. This is a hunter role focused on introducing autonomous, AI-driven workflows into complex enterprise environments, targeting both existing IFS customers and the wider market. You’ll drive execution of the GTM, supported by regional sales teams to position IFS Loops as a transformational layer that augments human decision-making with agentic intelligence. What You’ll Do * Hunt into strategic industrial accounts both organically (demand you generate yourself) and via planned campaigns and install base motions, driving net-new revenue for IFS Loops and agentic AI capabilities. * Lead consultatively grounded conversations around agentic AI, orchestration, autonomous workflows, and decision intelligence. * Position IFS Loops as a differentiated platform enabling enterprises to operationalize AI beyond copilots and dashboards. * Engage senior business stakeholders, including CEO, CFO, CIOs, CTOs, COOs, and Heads of Digital, with confidence and credibility. * Partner closely with core account teams, AI product specialists, and solution engineering in a matrixed GTM model. ## Qualifications Required: * Proven sales hunter with success selling complex enterprise software. * Demonstrated experience selling AI solutions , ideally including agentic systems, automation platforms, or intelligent workflow technologies. * Strong understanding of how AI agents integrate with enterprise systems and operational processes. * A technically credible, consultative seller who can translate emerging AI concepts into business outcomes. * Curious, adaptable, and deeply engaged with the evolution of agentic AI and enterprise automation. Preferred: * Experience selling into industrial markets such as manufacturing, energy, aerospace & defense, engineering, and/or construction. * Preferred experience, launching or scaling new or acquired offerings into new markets. At IFS, we’re redefining how AI delivers value - moving from insight to autonomous action. As part of our agentic AI growth strategy, you’ll have the opportunity to: * Sell one of the market’s most forward-looking enterprise agentic AI platforms with packaged digital workers. * Shape how industrial organizations adopt and trust autonomous AI. * Work within a fast-scaling, high-visibility AI business. * Partner with global enterprises tackling mission-critical operations. ## Additional Information We embrace flexibility and hybrid work opportunities to support diverse needs and lifestyles, while also valuing inclusive workplace experiences. By fostering a sense of community, we drive innovation, strengthen connections, and nurture belonging. Our commitment ensures you can work in a way that suits you best, while also engaging with colleagues to share ideas and build meaningful relationships.", "summaryDescription" : "AI Sales Executive - Agentic AI Loops at IFS. Drive revenue growth. Manage sales pipeline", "postedDate" : "2026-06-15T09:56:32.000", "createdAt" : "2026-06-15T23:53:58.398", "lastUpdated" : "2026-06-16T10:15:38.569", "ingestTimestamp" : "2026-06-15T23:53:58.398", "mongoId" : "6a30685df292fd229cfc3aa9", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "sales", "jobSubcategory" : "revenue", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.97 }, { "id" : "6a2c6ace74d8ee00a090e131", "title" : "Agentic AI Engineer", "company" : "Innodata Inc.", "industry" : "Technology", "salary" : { "min" : 100000.0, "max" : 120000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "INN - Remote - US", "locations" : [ "INN - Remote - US" ], "timestamp" : "2026-06-15T12:24:10.013", "fingerprint" : "b5cc7c7e35a305974a3c7f7f12908b6fac3bb2a43afdfbe62264ece7202dbccf", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/innodatainc/jobs/4272039009", "externalId" : "4272039009", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "technicalSkills" : "Python, PyTorch, TensorFlow, Hugging Face, LangChain, LangGraph, AutoGen, FastAPI, Flask, Node.js, REST APIs, GraphQL APIs, Microservices, ETL, SQL, NoSQL, Vector DBs, Docker, Kubernetes, CI/CD, AWS, GCP, Azure", "professionalSkills" : [ "System design", "Backend development", "API development", "Data pipeline development", "Containerization", "Deployment", "Monitoring", "Observability", "Drift detection" ], "hardSkillsList" : [ "Fine-tuning techniques", "Agent-to-agent orchestration", "Multi-context protocol", "Retrieval-augmented generation", "Data governance", "Bias mitigation", "Lineage tracking" ], "hardSkills" : [ { "name" : "Fine-tuning techniques", "level" : "intermediate" }, { "name" : "Agent-to-agent orchestration", "level" : "intermediate" }, { "name" : "Multi-context protocol", "level" : "intermediate" }, { "name" : "Retrieval-augmented generation", "level" : "intermediate" }, { "name" : "Data governance", "level" : "intermediate" }, { "name" : "Bias mitigation", "level" : "intermediate" }, { "name" : "Lineage tracking", "level" : "intermediate" } ], "majorSkills" : "Agentic AI, Multi-agent systems, Foundation models, RAG pipelines", "majorSkillsList" : [ "Agentic AI", "Multi-agent systems", "Foundation models", "RAG pipelines" ], "coreResponsibilities" : "Design multi-agent systems, Build multi-agent systems, Deploy multi-agent systems, Architect agent-to-agent orchestration pipelines, Fine-tune foundation models, Integrate RAG pipelines, Build A2A orchestration, Implement MCP for context reuse, Implement MCP for collaboration, Develop APIs, Develop backend services, Integrate with enterprise systems, Build secure data pipelines, Ensure data governance, Ensure bias mitigation, Ensure lineage tracking, Containerize agents, Deploy agents, Monitor agents, Benchmark accuracy, Benchmark safety, Benchmark compliance", "teamCollaboration" : "Collaborate with QA; Collaborate with red teaming; Collaborate with product leads", "projectManagementSkills" : [ "CI/CD pipelines" ], "domainKnowledge" : "Enterprise automation; Generative AI; AI systems; Foundation models; Retrieval-augmented generation; Agent-to-agent communication; Multi-context protocol", "domainList" : [ "enterprise-automation", "generative-ai", "ai-systems", "foundation-models", "retrieval-augmented-generation", "agent-to-agent-communication", "multi-context-protocol" ], "domainSpecificKnowledge" : [ "Enterprise automation", "Generative AI", "AI systems", "Foundation models", "Retrieval-augmented generation", "Agent-to-agent communication", "Multi-context protocol" ], "toolProficiency" : [ "LangChain", "LangGraph", "CrewAI", "AutoGen", "Pinecone", "Weaviate", "FAISS", "Milvus", "Jenkins", "GitHub Actions" ], "innovationCreativity" : "Frontier of agentic AI", "qualificationsBasic" : "Advanced proficiency in Python, Proficiency in PyTorch/TensorFlow, Proficiency in Hugging Face, Hands-on experience with LangChain/LangGraph, Hands-on experience with MCP, Hands-on experience with A2A orchestration, Hands-on experience with multi-agent architectures, Proficient in ETL pipelines, Proficient in SQL/NoSQL, Proficient in vector DBs, Backend expertise in FastAPI/Flask/Node.js, Backend expertise in REST/GraphQL APIs, Backend expertise in microservices, DevOps/MLOps experience, Cloud experience with AWS/GCP/Azure AI services, Secure integration practices", "qualificationsPreferred" : "Familiarity with enterprise HR/ATS systems, Familiarity with workflow automation", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Innodata (Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked. Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale. We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers. Scope of the Role: We are seeking an Agentic AI Engineer to design, build, and deploy sophisticated multi-agent AI systems that operate autonomously across complex enterprise environments. You will architect agent-to-agent orchestration pipelines, fine-tune foundation models, and integrate retrieval-augmented generation (RAG) into scalable backend infrastructure — bridging the gap between cutting-edge AI research and real-world production deployment. This is a high-impact role at the frontier of agentic AI, building the intelligent systems that will define the next generation of enterprise automation. What You’ll Own: Design and implement multi-agent systems using LangChain, LangGraph, CrewAI, AutoGen or similar frameworks. Build A2A (agent-to-agent) orchestration and implement MCP (multi-context protocol) for context reuse and collaboration. Fine-tune foundation models (LoRA, RLHF, DPO) and integrate retrieval-augmented generation (RAG) pipelines. Develop APIs and backend services (FastAPI/Flask/Node.js) and integrate with enterprise systems (HRIS, CRM, ERP). Build secure data pipelines (ETL, embeddings, vector DB ingestion) and ensure governance, bias mitigation, and lineage. Containerize, deploy, and monitor agents (Docker, Kubernetes, CI/CD pipelines) with observability and drift detection. Collaborate with QA, red teaming, and product leads to benchmark accuracy, safety, and compliance. You’ll Thrive in This Role If You Have: Advanced proficiency in Python, PyTorch/TensorFlow, Hugging Face, and fine-tuning techniques (LoRA, RLHF). Hands-on experience with LangChain/LangGraph, MCP, A2A orchestration, and multi-agent architectures. Proficient in ETL pipelines, SQL/NoSQL, vector DBs (Pinecone, Weaviate, FAISS, Milvus). Backend expertise in FastAPI/Flask/Node.js, REST/GraphQL APIs, and microservices. DevOps/MLOps experience: Docker, Kubernetes, CI/CD (Jenkins/GitHub Actions), monitoring/observability. Cloud experience with AWS/GCP/Azure AI services and secure integration practices. Bonus: familiarity with enterprise HR/ATS systems (Workday, SAP, Paychex) and workflow automation. The expected salary range for this position is $100,000 – $120,000 USD per year, based on experience, skills, and qualifications. Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at https://consumer.ftc.gov/articles/job-scams. If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at verifyjoboffer@innodata.com and consider reporting it to the FTC at ReportFraud.ftc.gov.", "summaryDescription" : "Agentic AI Engineer at Innodata Inc.. Skills: Agentic AI, Multi-agent systems, Foundation models, RAG pipelines. Design multi-agent systems. Build multi-agent systems", "postedDate" : "2026-06-14T09:29:20.191", "createdAt" : "2026-06-14T09:29:20.191", "lastUpdated" : "2026-06-15T12:24:10.013", "ingestTimestamp" : "2026-06-14T09:29:20.191", "mongoId" : "6a2c6ace74d8ee00a090e131", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 100000, "salaryAnnualMax" : 120000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Fine-tuning techniques", "Agent-to-agent orchestration", "Multi-context protocol", "Retrieval-augmented generation", "Data governance", "Bias mitigation", "Lineage tracking", "Agentic AI", "Multi-agent systems", "Foundation models", "RAG pipelines", "System design", "Backend development", "API development", "Data pipeline development", "Containerization", "Deployment", "Monitoring", "Observability", "Drift detection", "CI/CD pipelines", "Enterprise automation", "Generative AI", "AI systems", "Agent-to-agent communication", "LangChain", "LangGraph", "CrewAI", "AutoGen", "Pinecone", "Weaviate", "FAISS", "Milvus", "Jenkins", "GitHub Actions" ], "skillCount" : 35, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c7b3074d8ee00a0948bb3", "title" : "RAG and Evaluation Engineer", "company" : "LTS", "industry" : "Technology", "salary" : { "min" : 145000.0, "max" : 210000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimation is based on the market baseline for a Senior RAG and Evaluation Engineer in the United States, adjusted for the technology industry and remote work." }, "location" : "United States - Remote", "locations" : [ "United States - Remote" ], "timestamp" : "2026-06-15T06:35:36.771", "fingerprint" : "c8ac4f60b75f957ac89ea39c07d64f795375dcccacb1a7fcf649282f9414c411", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/lts/jobs/4284737009", "externalId" : "4284737009", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "technicalSkills" : "TypeScript, Python, RAG, BM25, Embeddings", "professionalSkills" : [ "Benchmarking", "Regression detection" ], "hardSkillsList" : [ "Chunking", "Hybrid retrieval", "Reranking", "LLM-as-judge patterns", "Synthetic data generation" ], "hardSkills" : [ { "name" : "Chunking", "level" : "intermediate" }, { "name" : "Hybrid retrieval", "level" : "intermediate" }, { "name" : "Reranking", "level" : "intermediate" }, { "name" : "LLM-as-judge patterns", "level" : "intermediate" }, { "name" : "Synthetic data generation", "level" : "intermediate" } ], "majorSkills" : "RAG, Evaluation, Retrieval pipelines", "majorSkillsList" : [ "RAG", "Evaluation", "Retrieval pipelines" ], "coreResponsibilities" : "Define metrics, Use AI tooling", "teamCollaboration" : "Fast-paced environment; Collaborative environment", "domainKnowledge" : "Healthcare IT; Legacy modernization", "domainList" : [ "healthcare-it", "legacy-modernization" ], "domainSpecificKnowledge" : [ "Healthcare IT", "Legacy modernization" ], "toolProficiency" : [ "AI tooling", "Agents" ], "innovationCreativity" : "Innovation", "qualificationsBasic" : "Production RAG system, Production retrieval pipelines, Applied evaluation skills, Production experience, Demonstrated experience in remote work", "qualificationsPreferred" : "Code-as-corpus retrieval, Applied IR background, Open-source contributions, Experience integrating feedback loops, Healthcare IT experience, Legacy modernization experience, Public technical writing, Conference talks", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "LTS is seeking a RAG equivalent experience may substitute for the degree requirement. Has shipped a production RAG system with quality the candidate can describe in numbers (rigor matters more than scale). Ability to work in a fast-paced, collaborative environment. Production experience with retrieval pipelines — ingestion, chunking, embedding, hybrid retrieval, reranking. Strong applied evaluation skills — benchmark design, regression detection, LLM-as-judge patterns. Knows when BM25 beats embeddings and when neither is enough. Measures everything they ship; opinions about chunking are backed by benchmarks. Patient with detail; comfortable defining metrics before the team has agreed on them. Heavy native use of AI tooling: agents in parallel, model as collaborator. Strong TypeScript or Python. Demonstrated experience in a remote work environment. Nice to Have: Code-as-corpus retrieval (search over source code rather than prose). Applied IR or search-engine background. Synthetic data generation and LLM-as-judge patterns. Open-source contributions to retrieval, eval, or RAG tooling. Experience integrating retrieval feedback loops with production usage. Healthcare IT or legacy modernization domain experience. Public technical writing or conference talks on retrieval or evaluation. What’s in it for you? The opportunity to support high visibility federal missions in IT and healthcare A culture that values innovation, growth, collaboration, and quality Access to cutting-edge tools and technologies Comprehensive benefits for you and your family A career path that rewards ambition and performance If you’re ready to push boundaries, sharpen your skills, and join a team that is passionate about building what’s next, we’d love to meet you. Apply today and let’s build a future together! LTS shares salary ranges to promote transparency. Compensation ranges are provided for informational purposes, and final compensation may vary based on experience, skills, location, and role requirements. LTS is committed to offering eligible employees comprehensive benefits that will provide them with options intended to meet their needs and the needs of their family.", "summaryDescription" : "RAG and Evaluation Engineer at LTS. Skills: RAG, Evaluation, Retrieval pipelines. Define metrics. Use AI tooling", "postedDate" : "2026-06-13T20:58:18.293", "createdAt" : "2026-06-13T20:58:18.293", "lastUpdated" : "2026-06-15T06:35:36.771", "ingestTimestamp" : "2026-06-13T20:58:18.293", "mongoId" : "6a2c7b3074d8ee00a0948bb3", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 145000, "salaryAnnualMax" : 210000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Chunking", "Hybrid retrieval", "Reranking", "LLM-as-judge patterns", "Synthetic data generation", "RAG", "Evaluation", "Retrieval pipelines", "Benchmarking", "Regression detection", "Healthcare IT", "Legacy modernization", "AI tooling", "Agents" ], "skillCount" : 14, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.7777778, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a210e2074d8ee00a0af5d5b", "title" : "Data and AI Consultant", "industry" : "Consulting", "location" : "[Johannesburg, South Africa, [222, 216 Rahima Moosa St, Johannesburg, 2001, South Africa], Johannesburg, 2001, GP, ZA]", "locations" : [ "[Johannesburg, South Africa, [222, 216 Rahima Moosa St, Johannesburg, 2001, South Africa], Johannesburg, 2001, GP, ZA]" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T11:09:43.961", "fingerprint" : "ce5f54c24f1d83855c92bcc25d7de6eb92fe29ce03d92b75ad978f7e88ee4e1a", "source" : "google", "language" : "en", "externalId" : "122332690157314758", "industryFunction" : { }, "technicalSkills" : "SQL, Python, R, Scala, Spark, Dbt, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, Dbt Cloud, Delta Lake, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, S3, Glue, SageMaker, Athena, GCP, Vertex AI, Azure, Synapse, ML Studio", "professionalSkills" : [ "Data science", "Data engineering", "ML/AI", "Business intelligence", "Analytics engineering", "Quantitative analysis", "Statistical methods", "ML frameworks", "BI platforms", "Cloud data stacks", "Modelling skills" ], "hardSkillsList" : [ "Statistical analysis", "Machine learning", "Data modelling", "ETL processes", "Data warehousing", "Cloud computing", "A/B testing", "Causal inference" ], "hardSkills" : [ { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "Machine learning", "level" : "intermediate" }, { "name" : "Data modelling", "level" : "intermediate" }, { "name" : "ETL processes", "level" : "intermediate" }, { "name" : "Data warehousing", "level" : "intermediate" }, { "name" : "Cloud computing", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" } ], "majorSkills" : "Data Science, AI, Machine Learning, Data Engineering", "majorSkillsList" : [ "Data Science", "AI", "Machine Learning", "Data Engineering" ], "coreResponsibilities" : "Develop and implement data science solutions, Build and maintain data pipelines, Design and deploy machine learning models, Create and manage business intelligence dashboards, Analyze complex datasets, Provide insights and recommendations, Collaborate with stakeholders, Stay updated on industry trends", "teamCollaboration" : "Cross-functional teams; Client stakeholders", "domainKnowledge" : "Cloud-native architecture; Distributed systems", "domainList" : [ "cloud-native-architecture", "distributed-systems" ], "domainSpecificKnowledge" : [ "Cloud-native architecture", "Distributed systems" ], "toolProficiency" : [ "Tableau", "Power BI", "Looker" ], "communicationSkills" : "Client presentations; Technical documentation", "problemSolvingSkills" : "Analytical skills", "qualificationsBasic" : "5+ years of experience in data science, Proficiency in SQL, Bachelor's degree in Statistics, Computer Science, Mathematics, or related field", "qualificationsPreferred" : "PhD preferred, Experience with specific ML frameworks, Cloud platform certifications", "summaryDescription" : "Data and AI Consultant. Skills: Data Science, AI, Machine Learning, Data Engineering. Develop and implement data science solutions. Build and maintain data pipelines", "postedDate" : "2026-06-16T01:48:00.642", "createdAt" : "2026-06-16T01:48:00.642", "lastUpdated" : "2026-06-16T11:09:43.961", "ingestTimestamp" : "2026-06-16T01:48:00.642", "mongoId" : "6a210e2074d8ee00a0af5d5b", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "hasSalary" : false, "allSkills" : [ "Statistical analysis", "Machine learning", "Data modelling", "ETL processes", "Data warehousing", "Cloud computing", "A/B testing", "Causal inference", "Data Science", "AI", "Machine Learning", "Data Engineering", "Data science", "Data engineering", "ML/AI", "Business intelligence", "Analytics engineering", "Quantitative analysis", "Statistical methods", "ML frameworks", "BI platforms", "Cloud data stacks", "Modelling skills", "Cloud-native architecture", "Distributed systems", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "Tableau", "Power BI", "Looker" ], "skillCount" : 32, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 0.44444445, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Consulting", "llmIndustryConfidence" : 0.0 }, { "id" : "6a307648f292fd229c017e04", "title" : "AI First Developer", "company" : "Smartcat", "industry" : "SaaS", "salary" : { "min" : 1.2E7, "max" : 1.8E7, "currency" : "AMD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Senior AI First Developer in the SaaS industry in Armenia, adjusted for remote work and company size." }, "location" : "Armenia - Remote", "locations" : [ "Armenia - Remote", "Costa Rica - Remote", "Georgia - Remote", "Portugal - Remote", "Serbia - Remote" ], "timestamp" : "2026-06-16T12:06:01.285", "fingerprint" : "31e62b733468f5505d1aadd8d61b6702bb64bfe6311cd1c40a1b25d131499fc6", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://www.smartcat.com/career/?gh_jid=6000303004", "externalId" : "6000303004", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Armenia", "continent" : "as", "workMode" : "remote" } ], "locationText" : "Armenia", "employmentType" : "FULL_TIME", "experienceMinYears" : 8, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "NET Core, C#, Python, Vue.js, Nuxt 3, Typescript, MongoDB, PostgreSQL, Elasticsearch, Kafka, AWS", "professionalSkills" : [ "System design", "Product development" ], "hardSkillsList" : [ "Backend development", "API development", "Performance optimization", "Scalability", "Security" ], "softSkillsList" : [ "Problem-solving", "Determination", "Feedback reception" ], "hardSkills" : [ { "name" : "Backend development", "level" : "intermediate" }, { "name" : "API development", "level" : "intermediate" }, { "name" : "Performance optimization", "level" : "intermediate" }, { "name" : "Scalability", "level" : "intermediate" }, { "name" : "Security", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Problem-solving" }, { "name" : "Determination" }, { "name" : "Feedback reception" } ], "majorSkills" : "Backend services, NET Core, C#, MongoDB", "majorSkillsList" : [ "Backend services", "NET Core", "C#", "MongoDB" ], "coreResponsibilities" : "Design backend services, Implement backend services, Develop backend services, Deploy backend services, Optimize application performance, Optimize application scalability, Optimize application security, Collaborate with product managers, Collaborate with frontend engineers, Collaborate with DevOps, Troubleshoot production issues, Resolve production issues, Participate in code reviews, Share knowledge, Continuous learning", "teamCollaboration" : "Cross-functional teams; Product managers; Frontend engineers; DevOps", "projectManagementSkills" : [ "Agile" ], "domainKnowledge" : "Agentic AI; Hybrid workforces; Enterprise Skill Graph; Generative AI; Human-in-the-loop workflows; Multilingual content; Content localization", "domainList" : [ "agentic-ai", "hybrid-workforces", "enterprise-skill-graph", "generative-ai", "human-in-the-loop-workflows", "multilingual-content", "content-localization" ], "domainSpecificKnowledge" : [ "Agentic AI", "Hybrid workforces", "Enterprise Skill Graph", "Generative AI", "Human-in-the-loop workflows", "Multilingual content", "Content localization" ], "toolProficiency" : [ "ELK", "EFK", "Prometheus", "Grafana" ], "documentationSkills" : "Well-documented C# code", "continuousLearning" : "Continuous learning", "innovationCreativity" : "AI innovation", "problemSolvingSkills" : "Problem-solving skills", "outcomesObjectives" : "Solve real-world customer challenges; Ensure seamless integration of services", "qualificationsBasic" : "8+ years Software Engineer, 3+ years .NET, 3+ years C#, 2+ years product companies (SaaS), Upper-intermediate English proficiency", "qualificationsPreferred" : "Experience with Unit tests, Experience with E2E tests, Experience with MongoDB", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "About Smartcat Smartcat is building the future of work, where human expertise meets digital teammates to drive 10x to 1000x productivity gains for the world’s leading enterprises. We’re on the frontier of an entirely new category: Agentic AI. We enable enterprises to build high-performing hybrid workforces made up of both humans and AI agents. These AI agents aren’t generic copilots. They’re fully trained digital teammates that learn from your best people, your content, and your business strategy—ready to get to work from day one. Our platform combines generative AI, human-in-the-loop workflows, and a living Enterprise Skill Graph that continuously learns and improves. Whether you're launching a product globally, onboarding new hires, translating learning content, or aligning legal teams across regions, Smartcat turns knowledge into action and action into scale. Over 1,000 companies, including 20% of the Fortune 500, rely on Smartcat to bring their business to the world—instantly, accurately, and in every language. As a Series C company with consistently high year-over-year growth, we’re scaling fast and investing in people who want to shape the future of work with us. Join us in unlocking global potential, one human and agent team at a time. Mission As a Senior Backend Engineer, you'll be at the forefront of enhancing our platform's capabilities. You'll design and implement scalable, high-performance backend services that power critical features for our growing client base. Outcomes Design, develop, and deploy backend services and APIs that solve real-world customer challenges Optimize application performance, scalability, and security Collaborate with product managers, frontend engineers, and DevOps to ensure seamless integration of services Troubleshoot and resolve production issues efficiently Actively participate in code reviews, knowledge sharing, and continuous learning Requirements 8+ years of proven professional experience as a Software Engineer, with at least 3 years in .NET and C# 2+ years of experience in product companies (SaaS) Passion and strong skill for writing clean, maintainable, and testable code and well-documented C# code Experience with writing and maintaining Unit tests and E2E tests Advanced experience with MongoDB Upper-intermediate or higher English proficiency (written and spoken) Strong problem-solving skills and a growth mindset Readiness to thrive in a fast-paced startup environment with extreme focus, a strong sense of ownership, and determination Openness to constructive feedback and value the ideas and opinions of others Our technologies Backend: .NET Core (C#), Python Frontend: Vue.js 2/3, Nuxt 3, Typescript Databases: MongoDB, PostgreSQL, Elasticsearch Messaging Queue: Kafka Cloud Provider: Amazon AWS Monitoring & Logging: ELK (EFK), Prometheus, Grafana Why joining Smartcat might be your best move so far A global, connected team We’re a team of 200+ people across 30+ countries, working together through a hub-and-spoke model anchored in eight key locations: New York, London, Lisbon, Costa Rica, Serbia, Armenia, Georgia, and Spain. Most of our roles are remote-friendly, giving you the flexibility to do your best work from where you thrive. For customer-facing teams, we prioritize proximity to our customers, ensuring we stay deeply connected to their needs and deliver an exceptional experience. No matter where you’re based, you’ll be part of a highly collaborative, globally-distributed team that values ownership, speed, and meaningful impact. Be part of an AI Native Organization We are highly innovative, using AI across all areas of the organization to accelerate decision-making and free people to focus on strategy and high-impact work. We embrace new ideas and encourage all Smartcaters, regardless of level or department, to manage their own AI Agents. At Smartcat you’ll shape how AI transforms the workplace and play an integral role in ensuring Smartcat remains a leader in AI innovation. Innovating a $100 Billion industry Smartcat is reshaping the $100B multilingual content industry with an AI-powered platform that makes it easy for companies to create, translate, and localize global content at scale. Our platform enables enterprise teams to move away from slow, traditional outsourcing methods, and achieve fast, high-quality results, at a fraction of the cost. Join the rocketship to scale-up 10x and beyond together We are looking for someone to become an integral part of our team and play a crucial role in the most exciting part of our journey: transitioning from a post-Series C startup to a company exceeding $100M in ARR and $1B in valuation. Our journey isn’t for the faint of heart. We are growing at 130% YoY, thanks to our strong product-market fit and high-performing team, and plan to accelerate from here. Smartcat Culture Code: Where Diversity Meets High Performance At Smartcat, we are committed to building a culture that highlights respect and appreciation for each individual's unique background and perspective, while maintaining a strong focus on results and engagement. We believe in welcoming everyone and fostering an inclusive environment where team members can be their authentic selves at work. Our commitment to inclusion is steadfast, and we stand firmly against discrimination and harassment.", "summaryDescription" : "AI First Developer at Smartcat. Skills: Backend services, NET Core, C#, MongoDB. Design backend services. Implement backend services", "postedDate" : "2026-06-16T01:18:23.334", "createdAt" : "2026-06-16T01:18:23.334", "lastUpdated" : "2026-06-16T12:06:01.285", "ingestTimestamp" : "2026-06-16T01:18:23.334", "mongoId" : "6a307648f292fd229c017e04", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Backend development", "API development", "Performance optimization", "Scalability", "Security", "Problem-solving", "Determination", "Feedback reception", "Backend services", "NET Core", "C#", "MongoDB", "System design", "Product development", "Agile", "Agentic AI", "Hybrid workforces", "Enterprise Skill Graph", "Generative AI", "Human-in-the-loop workflows", "Multilingual content", "Content localization", "ELK", "EFK", "Prometheus", "Grafana" ], "skillCount" : 26, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "SaaS", "llmIndustryConfidence" : 0.98 }, { "id" : "69ce5df99bc74574cb671a54", "title" : "AI Developer", "company" : "Texas Workforce Commission", "industry" : "Government", "salary" : { "min" : 145000.0, "max" : 210000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Senior AI Developer in Austin, TX, adjusted for government industry and full-time employment." }, "location" : "826631", "locations" : [ "826631", "
Austin:1411 Brazos (320TX-4000)
1411 Brazos St
Austin, 78701

" ], "timestamp" : "2026-06-15T22:56:59.191", "fingerprint" : "5f75133ba24aec7e4d1dcc96a85e398ff28a2d14c7101e16845098edb3ae68b8", "source" : "taleo", "language" : "en", "applyUrl" : "https://aa270.taleo.net/careersection/ex/jobdetail.ftl?job=33531", "externalId" : "33531", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Austin", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "30.2711286,-97.7436995" } ], "locationText" : "Austin, Texas, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Java, Python, REST APIs, Gen AI SDKs, AWS, Google, Microsoft, Oracle", "professionalSkills" : [ "Software development", "Programming projects", "Software solutions", "Data processing", "Systems analysis" ], "hardSkillsList" : [ "AI-driven applications", "AI-powered tools", "AI models" ], "softSkillsList" : [ "Curious" ], "hardSkills" : [ { "name" : "AI-driven applications", "level" : "intermediate" }, { "name" : "AI-powered tools", "level" : "intermediate" }, { "name" : "AI models", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Curious" } ], "majorSkills" : "AI/ML, Java development, Software development", "majorSkillsList" : [ "AI/ML", "Java development", "Software development" ], "coreResponsibilities" : "Perform skilled software development work, Partner with AI Strategists to design AI tools, Develop in-house AI tools, Integrate in-house AI tools, Write clean code, Write maintainable code, Write efficient code in Java, Write efficient code in other languages, Develop REST APIs, Connect with REST APIs, Develop data pipelines, Connect with data pipelines, Develop enterprise systems, Connect with enterprise systems, Learn Gen AI SDKs, Utilize Gen AI SDKs, Learn cloud provider services, Utilize cloud provider services, Build solutions with Gen AI, Implement AI models, Fine-tune AI models, Ensure solutions adhere to agency policies, Ensure solutions adhere to data governance, Ensure solutions adhere to accessibility standards, Ensure solutions adhere to security standards, Contribute to software development lifecycle, Oversee programming projects, Analyze proposed applications, Design software solutions", "teamCollaboration" : "Partner with AI Strategists; Work as part of a team", "projectManagementSkills" : [ "Agile methodologies", "DevOps practices" ], "domainKnowledge" : "AI/ML space; Gen AI", "domainList" : [ "ai-ml-space", "gen-ai" ], "domainSpecificKnowledge" : [ "AI/ML space", "Gen AI" ], "toolProficiency" : [ "Gen AI SDKs" ], "communicationSkills" : "Communicate effectively", "continuousLearning" : "Training and development opportunities", "innovationCreativity" : "Innovative ideas", "problemSolvingSkills" : "Problem-solving skills", "specialRequirements" : "Must be a Texas resident, Requires sponsorship for employment visa", "outcomesObjectives" : "Build next generation of AI-powered tools", "qualificationsBasic" : "Four years of full-time experience in data processing, computer science, computer programming, systems analysis, and/or related field, Five years of full-time experience in data processing, computer science, computer programming, systems analysis, and/or related field, Three or more years of full-time experience in software development, Background in Java development, Proficiency and hands-on professional experience in Java, Proficiency and hands-on professional experience in Python development, Experience with building and consuming REST APIs, Experience working with data pipelines, Proficiency in Gen AI prompting, Understanding prompt management techniques, Knowledge of Agile methodologies, Knowledge of DevOps practices, Texas resident or willing to relocate to Texas", "qualificationsPreferred" : "Bachelor’s degree in computer science, engineering, or a related field, Desire to learn about AI/ML technologies, Apply AI/ML to real-world problems, Exposure to cloud AI platforms like AWS, Azure, GCP, or OCI, Experience working in or with public sector or government agencies", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "WHO WE ARE: Texas Workforce Commission connects people with careers across the state. While we are based in Austin on the north lawn of the Texas State Capitol, we have offices statewide. We're a Family Friendly Certified Workplace with great work-life balance, competitive salaries, extensive opportunities for training and development, and fantastic benefits. This position is based at 1411 Brazos Street, Austin in the Information Technology Division. TWC is not considering applications from individuals who require sponsorship for an employment visa, including those currently on student or postgraduate visas. You must be a Texas resident to work for the Texas Workforce Commission or willing to relocate to Texas. WHO YOU ARE: A curious and collaborative developer with a strong foundation in Java development. You are excited by the opportunity to learn new technologies and apply your skills to build the next generation of AI-powered tools for public service. You communicate effectively and enjoy working as part of a team to bring innovative ideas to life. WHAT YOU WILL DO: In this role, you will partner closely with our AI Strategists to design, build, and implement new AI-driven applications and services. The ideal candidate is a strong developer eager to expand their skills into the AI/ML space. The AI Developer (Programmer IV-V) perform advanced to highly advanced (senior-level) computer programming work. Work involves overseeing programming projects, analyzing proposed applications and designing software solutions. This work is performed under minimal supervision, with opportunities for considerable latitude for the use of initiative and independent judgment while learning and growing in the role. YOU WILL BE TRUSTED TO: - Performs skilled software development work. - Partner with two AI Strategists to design, develop, and integrate in-house AI tools and solutions. - Write clean, maintainable, and efficient code in Java and other languages as needed. - Develop and connect with REST APIs, data pipelines, and enterprise systems. - Learn and utilize Gen AI SDKs and services from cloud providers (e.g., AWS, Google, Microsoft, Oracle) to build solutions. - Implement and fine-tune AI models developed in collaboration with the strategy team. - Ensure all solutions adhere to agency policies, data governance, accessibility and security standards. - Contribute to the full software development lifecycle, from initial concept to deployment and maintenance. YOU ARE A GREAT FIT WITH: - Bachelor’s degree in computer science, engineering, or a related field. - Three or more years of full-time experience in software development, with a strong background in Java. - Proficiency and hands-on professional experience in Java and Python development. - Experience with building and consuming REST APIs and working with data pipelines. - A strong desire to learn about AI/ML technologies and apply them to real-world problems. - Proficiency in Gen AI prompting and understanding prompt management techniques for improved outcomes. - Excellent problem-solving skills and the ability to work collaboratively in a team environment. - Knowledge of Agile methodologies and DevOps practices. - Any exposure to cloud AI platforms like AWS, Azure, GCP, or OCI. - Experience working in or with public sector or government agencies. YOU QUALIFY WITH: -Programmer IV: Four years of full-time experience in data processing, computer science, computer programming, systems analysis, and/or related field. -Programmer V: Five years of full-time experience in data processing, computer science, computer programming, systems analysis, and/or related field. -Both Levels: Relevant academic credits may be applied toward experience qualifications for this position. YOU GAIN: - A Family Friendly Certified Workplace - An opportunity to help shape the future of AI in public service - Work on impactful projects that improve services for millions of Texans - Competitive starting salary: $7,000.00 - $9,500.00/month - Defined Retirement Benefit Plan - Optional 401(k) and 457 accounts - Medical Insurance - Paid time off, including time for vacation, sick and family care leave - Additional benefits for active employees can be found at https://www.ers.texas.gov/Active-Employees/Health-Benefits VETERANS: Use your military skills to qualify for this position or other jobs! Go to www.texasskillstowork.com to translate your military work experience and training courses into civilian job terms, qualifications, and skill sets. Also, you can compare this position to military occupations (MOS) at the Texas State Auditor's Office by pasting this link into your browser: https://hr.sao.texas.gov/Compensation/MilitaryCrosswalk/MOSC_InformationTechnology.pdf. HOW TO APPLY: To be considered, please complete a State of Texas Application for Employment and apply online at www.workintexas.com or on Taleo ( Job Search ). TWC is not considering applications from individuals who require sponsorship for an employment visa, including those currently on student or postgraduate visas. In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification document form upon hire. A position utilizing this classification will be designated as security sensitive according to the Texas Labor Code, Section 301.042. United States-Texas-Austin", "summaryDescription" : "AI Developer at Texas Workforce Commission. Skills: AI/ML, Java development, Software development. Perform skilled software development work. Partner with AI Strategists to design AI tools", "createdAt" : "2026-06-14T19:53:51.923", "lastUpdated" : "2026-06-15T22:56:59.191", "ingestTimestamp" : "2026-06-14T19:53:51.923", "mongoId" : "69ce5df99bc74574cb671a54", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 145000, "salaryAnnualMax" : 210000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "AI-driven applications", "AI-powered tools", "AI models", "Curious", "AI/ML", "Java development", "Software development", "Programming projects", "Software solutions", "Data processing", "Systems analysis", "Agile methodologies", "DevOps practices", "AI/ML space", "Gen AI", "Gen AI SDKs" ], "skillCount" : 16, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Government", "llmIndustryConfidence" : 0.95 }, { "id" : "6a307648f292fd229c017e05", "title" : "AI First Developer", "company" : "Smartcat", "industry" : "SaaS", "salary" : { "min" : 1.2E7, "max" : 1.8E7, "currency" : "AMD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior AI First Developer in Armenia, adjusted for the technology industry and remote work." }, "location" : "Armenia - Remote", "locations" : [ "Armenia - Remote", "Costa Rica - Remote", "Georgia - Remote", "Portugal - Remote", "Serbia - Remote" ], "timestamp" : "2026-06-16T11:00:41.431", "fingerprint" : "7776cbcabe36d38c735487b20ea8c73c80210979e9188458907bba20d0583fa0", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://www.smartcat.com/career/?gh_jid=6000307004", "externalId" : "6000307004", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Armenia", "continent" : "as", "workMode" : "remote" } ], "locationText" : "Armenia", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "NET Core, MongoDB, PostgreSQL, AWS, Elasticsearch, ELK, Prometheus, Grafana", "professionalSkills" : [ "System design", "Code review" ], "hardSkillsList" : [ "Database concurrency", "Test coverage" ], "softSkillsList" : [ "Determination" ], "hardSkills" : [ { "name" : "Database concurrency", "level" : "intermediate" }, { "name" : "Test coverage", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Determination" } ], "majorSkills" : "NET Core, Database concurrency, System design", "majorSkillsList" : [ "NET Core", "Database concurrency", "System design" ], "coreResponsibilities" : "Maintain existing functionality, Improve existing functionality, Develop new application parts, Design application parts, Refactor application parts, Fix bugs, Write tests, Review code, Share knowledge with the team", "teamCollaboration" : "Global team; Cross-functional teams", "projectManagementSkills" : [ "Startup environment" ], "domainKnowledge" : "Agentic AI; Enterprise Skill Graph; Generative AI; Human-in-the-loop workflows; Multilingual content; Language AI platform", "domainList" : [ "agentic-ai", "enterprise-skill-graph", "generative-ai", "human-in-the-loop-workflows", "multilingual-content", "language-ai-platform" ], "domainSpecificKnowledge" : [ "Agentic AI", "Enterprise Skill Graph", "Generative AI", "Human-in-the-loop workflows", "Multilingual content", "Language AI platform" ], "toolProficiency" : [ "MongoDB", "PostgreSQL", "AWS", "Elasticsearch", "ELK", "Prometheus", "Grafana" ], "communicationSkills" : "Written communication; Spoken communication", "innovationCreativity" : "AI innovation", "problemSolvingSkills" : "Root cause analysis", "specialRequirements" : "Intense startup environment", "outcomesObjectives" : "Deliver value for customers; Improve stability; Improve observability", "qualificationsBasic" : "5+ years of experience in .NET development, 5+ years of test coverage, Knowledge of OOP principles, Knowledge of design patterns, Experience with Database concurrency, Upper-Intermediate English", "qualificationsPreferred" : "Experience with AWS, Experience with Elasticsearch, Experience with ELK, Experience with Prometheus, Experience with Grafana", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "About Smartcat Smartcat is building the future of work, where human expertise meets digital teammates to drive 10x to 1000x productivity gains for the world’s leading enterprises. We’re on the frontier of an entirely new category: Agentic AI. We enable enterprises to build high-performing hybrid workforces made up of both humans and AI agents. These AI agents aren’t generic copilots. They’re fully trained digital teammates that learn from your best people, your content, and your business strategy—ready to get to work from day one. Our platform combines generative AI, human-in-the-loop workflows, and a living Enterprise Skill Graph that continuously learns and improves. Whether you're launching a product globally, onboarding new hires, translating learning content, or aligning legal teams across regions, Smartcat turns knowledge into action and action into scale. Over 1,000 companies, including 20% of the Fortune 500, rely on Smartcat to bring their business to the world—instantly, accurately, and in every language. As a Series C company with consistently high year-over-year growth, we’re scaling fast and investing in people who want to shape the future of work with us. Join us in unlocking global potential, one human and agent team at a time. Smartcat was founded in 2016 to help global enterprises create and manage their multilingual content. Today, Smartcat is the essential language AI platform for the global enterprise. Our client-tailored language AI turns content in any format into any language, from documents to videos to complex websites and software, making global operations simple for any corporate team. It also allows any user to create new content by tapping into a multilingual enterprise library. More than 1,000 global companies including 25% of the Fortune 500 trust Smartcat to communicate their innovations and ideas all over the world. Smartcat’s vision is to realise a world where there is equal access to innovations and ideas. Smartcat is backed by Matrix Partners, FJ Labs, and other leading VC firms focusing on SaaS, marketplaces and AI. You might recognize names like HubSpot, Zendesk, Uber, Stripe, RigUp, and Quora in their portfolios. Despite the economic recession, Smartcat is growing at 150% YoY. It's well-funded and capital efficient, providing a unique combination of a hyper-growth environment with downside protection and the ability to think and plan long-term. Senior Backend Developer Mission: Your mission will be to maintain and improve existing functionality and develop new application parts. This position will be remote-based in Europe. Ideal locations include: Serbia, Armenia, Bulgaria, Georgia and Romania. Outcomes Deliver value for our customers Improve the stability and observability of our product Develop parts of the application: design, refactoring, fixing bugs, and writing tests to maintain the quality and functionality of the product and libraries Review code and share knowledge with the team Requirements 5+ years of experience in .NET development and test coverage Knowledge of OOP principles and design patterns Experience with Database concurrency Upper-Intermediate English: both written and spoken A data-driven approach. Ability to justify decisions using concrete metrics Integrity and full commitment Growth mindset Readiness to work in an intense startup environment requiring extreme focus, a strong sense of ownership, and determination to break through Openness to constructive feedback and the opinions and ideas of others Our technologies PL: .NET Core DB: MongoDB, PostgreSQL Hosting in the AWS Elasticsearch cluster, indexes for several billion documents ELK (EFK) for logging, VM, Prometheus and Grafana for metrics and monitoring Why joining Smartcat might be your best move so far Fully remote team We are a global team of 200+ enthusiastic people spread across 30 countries. We have been fully remote since 2020, with some locations populated with more Smartcatters than others, such as Boston, NYC, SF, the Bay Area, London, Lisbon, and Yerevan. Innovating the $50 Billion-old industry Smartcat’s innovative business model taps into this $50B language translation industry with a platform allowing enterprise end users to stop using traditional outsourcing and enjoy easy-to-use AI-powered SaaS that delivers immediate high-quality results at a fraction of the cost. High impact role enabling innovation and inclusion in organizations You will enjoy building with us. You will drive changes in how an old-fashioned global language industry operates while improving how hundreds of thousands of people work and millions of people exchange knowledge and ideas worldwide. Join the rocketship to scale-up 10x and beyond together We are looking for someone to become an integral part of our team and play a crucial role in the most exciting part of our journey: transitioning from a post-Series B startup to a company exceeding $100M in ARR and $1B in valuation. Our journey isn’t for the faint of heart. We are growing at 150% YoY, thanks to our strong product-market fit and high-performing team. Smartcat Culture: Where Diversity Meets High Performance At Smartcat, we are committed to building a culture that highlights respect and appreciation for each individual's unique background and perspective, while maintaining a strong focus on results and clear, honest and direct communication. We believe in welcoming everyone and fostering an inclusive environment where team members can be their authentic selves at work. Our commitment to diversity and inclusion is steadfast, and we stand firmly against discrimination and harassment. Why joining Smartcat might be your best move so far A global, connected team We’re a team of 200+ people across 30+ countries, working together through a hub-and-spoke model anchored in eight key locations: New York, London, Lisbon, Costa Rica, Serbia, Armenia, Georgia, and Spain. Most of our roles are remote-friendly, giving you the flexibility to do your best work from where you thrive. For customer-facing teams, we prioritize proximity to our customers, ensuring we stay deeply connected to their needs and deliver an exceptional experience. No matter where you’re based, you’ll be part of a highly collaborative, globally-distributed team that values ownership, speed, and meaningful impact. Be part of an AI Native Organization We are highly innovative, using AI across all areas of the organization to accelerate decision-making and free people to focus on strategy and high-impact work. We embrace new ideas and encourage all Smartcaters, regardless of level or department, to manage their own AI Agents. At Smartcat you’ll shape how AI transforms the workplace and play an integral role in ensuring Smartcat remains a leader in AI innovation. Innovating a $100 Billion industry Smartcat is reshaping the $100B multilingual content industry with an AI-powered platform that makes it easy for companies to create, translate, and localize global content at scale. Our platform enables enterprise teams to move away from slow, traditional outsourcing methods, and achieve fast, high-quality results, at a fraction of the cost. Join the rocketship to scale-up 10x and beyond together We are looking for someone to become an integral part of our team and play a crucial role in the most exciting part of our journey: transitioning from a post-Series C startup to a company exceeding $100M in ARR and $1B in valuation. Our journey isn’t for the faint of heart. We are growing at 130% YoY, thanks to our strong product-market fit and high-performing team, and plan to accelerate from here. Smartcat Culture Code: Where Diversity Meets High Performance At Smartcat, we are committed to building a culture that highlights respect and appreciation for each individual's unique background and perspective, while maintaining a strong focus on results and engagement. We believe in welcoming everyone and fostering an inclusive environment where team members can be their authentic selves at work. Our commitment to inclusion is steadfast, and we stand firmly against discrimination and harassment.", "summaryDescription" : "AI First Developer at Smartcat. Skills: NET Core, Database concurrency, System design. Maintain existing functionality. Improve existing functionality", "postedDate" : "2026-06-16T01:18:55.555", "createdAt" : "2026-06-16T01:18:55.555", "lastUpdated" : "2026-06-16T11:00:41.431", "ingestTimestamp" : "2026-06-16T01:18:55.555", "mongoId" : "6a307648f292fd229c017e05", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Database concurrency", "Test coverage", "Determination", "NET Core", "System design", "Code review", "Startup environment", "Agentic AI", "Enterprise Skill Graph", "Generative AI", "Human-in-the-loop workflows", "Multilingual content", "Language AI platform", "MongoDB", "PostgreSQL", "AWS", "Elasticsearch", "ELK", "Prometheus", "Grafana" ], "skillCount" : 20, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a307648f292fd229c017e07", "title" : "AI First Developer", "company" : "Smartcat", "industry" : "Technology", "salary" : { "min" : 7000000.0, "max" : 1.2E7, "currency" : "AMD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level AI First Developer in Armenia, adjusted for the technology industry and remote work." }, "location" : "Armenia - Remote", "locations" : [ "Armenia - Remote", "Costa Rica - Remote", "Georgia - Remote", "Portugal - Remote", "Serbia - Remote" ], "timestamp" : "2026-06-16T11:50:41.684", "fingerprint" : "ffd5a96f070e29b9bcc6a9a8677084fa71b587614ef7962478974572d31377ba", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://www.smartcat.com/career/?gh_jid=6000302004", "externalId" : "6000302004", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Armenia", "continent" : "as", "workMode" : "remote" } ], "locationText" : "Armenia", "employmentType" : "FULL_TIME", "technicalSkills" : "AWS, NET, Python, MongoDB, Generative AI, GPT APIs, LLMs", "professionalSkills" : [ "Delivery", "Ownership", "Execution" ], "hardSkillsList" : [ "AI-driven approach", "AI workflows" ], "hardSkills" : [ { "name" : "AI-driven approach", "level" : "intermediate" }, { "name" : "AI workflows", "level" : "intermediate" } ], "majorSkills" : "AI-First Engineering, Software Development, DevOps, Cloud", "majorSkillsList" : [ "AI-First Engineering", "Software Development", "DevOps", "Cloud" ], "coreResponsibilities" : "Deliver production-quality features, Apply AI across development lifecycle, Establish new engineering benchmark, Understand AWS tech stack, .NET tech stack understanding, Python tech stack understanding, MongoDB tech stack understanding, Ship real features using AI, Contribute to improving workflows, Own full lifecycle of feature delivery, Identify improvements in velocity, Identify improvements in automation, Identify improvements in team efficiency, Partner with Product Leads, Partner with Tech Leads, Accelerate time-to-market, Deliver features faster, Deliver features with higher quality, Mentor others on using AI, Drive AI-First engineering standard", "teamCollaboration" : "Cross-functional teams; Product and Tech Leads", "projectManagementSkills" : [ "Agile" ], "domainKnowledge" : "Agentic AI; Enterprise Skill Graph; Hybrid workforces; AI agents; Multilingual content", "domainList" : [ "agentic-ai", "enterprise-skill-graph", "hybrid-workforces", "ai-agents", "multilingual-content" ], "domainSpecificKnowledge" : [ "Agentic AI", "Enterprise Skill Graph", "Hybrid workforces", "AI agents", "Multilingual content" ], "toolProficiency" : [ "Copilot", "Cursor", "WindSurf", "GPT APIs", "LLMs" ], "documentationSkills" : "Documentation", "innovationCreativity" : "AI innovation", "problemSolvingSkills" : "Root cause analysis", "outcomesObjectives" : "Deliver high-quality features faster; Build and optimize AI-first workflows; Raise the bar for speed; Raise the bar for quality; Raise the bar for ownership; Be a core contributor", "qualificationsBasic" : "Mastery in using AI tools, Technical foundation in AWS, NET technical foundation, Python technical foundation, MongoDB technical foundation, Obsessed with delivery", "qualificationsPreferred" : "Experience with Copilot, Experience with Cursor, Experience with WindSurf, Experience with GPT APIs, Experience with LLMs", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "About Smartcat Smartcat is building the future of work, where human expertise meets digital teammates to drive 10x to 1000x productivity gains for the world’s leading enterprises. We’re on the frontier of an entirely new category: Agentic AI. We enable enterprises to build high-performing hybrid workforces made up of both humans and AI agents. These AI agents aren’t generic copilots. They’re fully trained digital teammates that learn from your best people, your content, and your business strategy—ready to get to work from day one. Our platform combines generative AI, human-in-the-loop workflows, and a living Enterprise Skill Graph that continuously learns and improves. Whether you're launching a product globally, onboarding new hires, translating learning content, or aligning legal teams across regions, Smartcat turns knowledge into action and action into scale. Over 1,000 companies, including 20% of the Fortune 500, rely on Smartcat to bring their business to the world—instantly, accurately, and in every language. As a Series C company with consistently high year-over-year growth, we’re scaling fast and investing in people who want to shape the future of work with us. Join us in unlocking global potential, one human and agent team at a time. WHY YOU SHOULD JOIN OUR TEAM We are building the future of software development — AI-First is the new standard. You won’t be “experimenting”; you’ll be delivering. Fast. Smart. Relentless. Join the core team that will prove AI-driven engineering is the only way forward. If you love challenges, own your outcomes, and are obsessed with delivery, you’ll thrive here. MISSION As an AI-First Engineer, your mission is to deliver production-quality features at a speed and scale that traditional teams cannot match. You will apply AI aggressively across every stage of the development lifecycle — from requirements and design to coding, testing, and release — and establish a new engineering benchmark for the company. OUTCOMES Consistently deliver high-quality, production-grade features faster than traditional teams. Build and optimize AI-first workflows that integrate AI across all development stages. Raise the bar for speed, quality, and ownership in product delivery. Be a core contributor to the new engineering culture built on AI-First principles. HOW YOU’LL RAMP By Day 30: Deeply understand our AWS, .NET, Python, MongoDB tech stack and delivery model. Start shipping real features using AI at every stage: coding, testing, documenting, releasing. Contribute to improving workflows for even faster delivery. By Day 60: Independently own the full lifecycle of feature delivery through AI-first methods. Identify and drive improvements in velocity, automation, and team efficiency. Partner with Product and Tech Leads to aggressively accelerate time-to-market. By Day 90: Deliver features faster and with higher quality than baseline teams. Actively mentor others on using AI as a multiplier across development. Become a key driver of the AI-First engineering standard inside the company. WHAT YOU’VE ACCOMPLISHED: Proven track record of delivering production-grade products using AI-driven approach. Mastery in using AI tools (Copilot/Cursor/WindSurf (etc, you choose), GPT APIs, LLMs) across the entire development lifecycle — design, code generation, testing, documentation, and release. Strong technical foundation in AWS, .NET, Python, and MongoDB. Obsessed with delivery: you ship, you improve, you own the outcome. Comfortable moving fast, taking ownership, and constantly pushing for better, faster, smarter execution. Why joining Smartcat might be your best move so far A global, connected team We’re a team of 200+ people across 30+ countries, working together through a hub-and-spoke model anchored in eight key locations: New York, London, Lisbon, Costa Rica, Serbia, Armenia, Georgia, and Spain. Most of our roles are remote-friendly, giving you the flexibility to do your best work from where you thrive. For customer-facing teams, we prioritize proximity to our customers, ensuring we stay deeply connected to their needs and deliver an exceptional experience. No matter where you’re based, you’ll be part of a highly collaborative, globally-distributed team that values ownership, speed, and meaningful impact. Be part of an AI Native Organization We are highly innovative, using AI across all areas of the organization to accelerate decision-making and free people to focus on strategy and high-impact work. We embrace new ideas and encourage all Smartcaters, regardless of level or department, to manage their own AI Agents. At Smartcat you’ll shape how AI transforms the workplace and play an integral role in ensuring Smartcat remains a leader in AI innovation. Innovating a $100 Billion industry Smartcat is reshaping the $100B multilingual content industry with an AI-powered platform that makes it easy for companies to create, translate, and localize global content at scale. Our platform enables enterprise teams to move away from slow, traditional outsourcing methods, and achieve fast, high-quality results, at a fraction of the cost. Join the rocketship to scale-up 10x and beyond together We are looking for someone to become an integral part of our team and play a crucial role in the most exciting part of our journey: transitioning from a post-Series C startup to a company exceeding $100M in ARR and $1B in valuation. Our journey isn’t for the faint of heart. We are growing at 130% YoY, thanks to our strong product-market fit and high-performing team, and plan to accelerate from here. Smartcat Culture Code: Where Diversity Meets High Performance At Smartcat, we are committed to building a culture that highlights respect and appreciation for each individual's unique background and perspective, while maintaining a strong focus on results and engagement. We believe in welcoming everyone and fostering an inclusive environment where team members can be their authentic selves at work. Our commitment to inclusion is steadfast, and we stand firmly against discrimination and harassment.", "summaryDescription" : "AI First Developer at Smartcat. Skills: AI-First Engineering, Software Development, DevOps, Cloud. Deliver production-quality features. Apply AI across development lifecycle", "postedDate" : "2026-06-16T01:16:59.927", "createdAt" : "2026-06-16T01:16:59.927", "lastUpdated" : "2026-06-16T11:50:41.684", "ingestTimestamp" : "2026-06-16T01:16:59.927", "mongoId" : "6a307648f292fd229c017e07", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "AI-driven approach", "AI workflows", "AI-First Engineering", "Software Development", "DevOps", "Cloud", "Delivery", "Ownership", "Execution", "Agile", "Agentic AI", "Enterprise Skill Graph", "Hybrid workforces", "AI agents", "Multilingual content", "Copilot", "Cursor", "WindSurf", "GPT APIs", "LLMs" ], "skillCount" : 20, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a30794df292fd229c031216", "title" : "Director, Data and AI Engineering", "company" : "Benevity", "industry" : "Technology", "salary" : { "min" : 192000.0, "max" : 238810.0, "currency" : "CAD", "frequency" : "Yearly" }, "location" : "Toronto, Ontario", "locations" : [ "Toronto, Ontario" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T15:07:30.375", "fingerprint" : "aaf0e33227ca131481be4962d98f3d416a3d9e7ac0a72837e11beccb51a05d5d", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/benevity/791ccf38-f164-4521-b05d-6f35fa1e7245/application", "externalId" : "791ccf38-f164-4521-b05d-6f35fa1e7245", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Toronto", "state" : "Ontario", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "43.6534817,-79.3839347" } ], "locationText" : "Toronto, Ontario, Canada", "employmentType" : "FULL_TIME", "experienceLevel" : "Director", "technicalSkills" : "Python, SQL, Scala, Spark, Dbt, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, Delta Lake, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, S3, Glue, SageMaker, Athena, GCP, Vertex AI, Azure, Synapse, ML Studio, Kubernetes, Terraform, Kafka, Flink, Apache Beam, Lambda, Kinesis, Pub/Sub", "professionalSkills" : [ "Data strategy", "Data modeling", "Business intelligence", "Data governance", "ML systems engineering", "Product intelligence", "AI-powered services", "Data-driven decision-making", "Scalable data engineering", "AI/ML systems", "Cloud-based data architectures", "Real-time analytics", "ML/AI-driven solutions", "Client needs", "Data-as-a-product", "Data assets", "Real-time analytics", "AI-powered automation", "Data-driven insights", "Self-service analytics", "Data pipelines", "Enterprise warehousing", "ML training", "Business reporting", "AI-powered features", "Anomaly detection", "Personalization", "Cost optimization", "MLOps", "CI/CD", "Real-time inference", "Recommendations", "Predictive analytics", "NLP", "Generative AI", "Ethical AI", "AI standards", "BI tools", "Dashboards", "Product analytics", "User behavior", "Feature engagement", "Embedded analytics", "SaaS metrics", "Data privacy", "Data security", "Compliance", "Data lineage", "Metadata management", "MDM", "RBAC", "ABAC", "ReBac", "Data sharing", "Data democratization", "Trusted data", "Documented data", "Team leadership", "Budget management", "Product innovations", "Multi-tenant SaaS", "Customer-facing analytics", "Emerging AI trends", "Responsible AI frameworks" ], "hardSkillsList" : [ "Regression", "Classification", "Clustering", "Time-series", "A/B testing", "Causal inference" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Regression", "level" : "intermediate" }, { "name" : "Classification", "level" : "intermediate" }, { "name" : "Clustering", "level" : "intermediate" }, { "name" : "Time-series", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Data Engineering, AI/ML Engineering, Data Strategy, Business Intelligence", "majorSkillsList" : [ "Data Engineering", "AI/ML Engineering", "Data Strategy", "Business Intelligence" ], "coreResponsibilities" : "Define and execute data and AI strategy, Lead cross-functional teams, Establish data-as-a-product principles, Drive innovation in real-time analytics, Partner with Product, Engineering, and Customer Success teams, Design and oversee high-scale, cloud-native data architectures, Implement highly available, fault-tolerant data pipelines, Lead data modeling initiatives, Work with engineering teams to embed AI-powered features, Drive observability, monitoring, and cost optimization, Oversee the development of ML/AI models, Implement MLOps best practices, Lead initiatives in AI-powered recommendations, Ensure bias-free, ethical AI practices, Build and manage BI tools, Develop product analytics frameworks, Implement embedded analytics solutions, Optimize reporting for SaaS metrics, Own data governance frameworks, Define and implement data lineage, Drive role-based access controls, Champion data democratization", "teamCollaboration" : "Cross-functional teams; Product teams; Engineering teams; Customer Success teams", "projectManagementSkills" : [ "Agile" ], "domainKnowledge" : "B2B SaaS; Cloud-native architecture; Multi-tenant SaaS; SaaS metrics; GDPR; SOC 2; PIPEDA; CCPA", "domainList" : [ "b2b-saas", "cloud-native-architecture", "multi-tenant-saas", "saas-metrics", "gdpr", "soc-2", "pipeda", "ccpa" ], "domainSpecificKnowledge" : [ "B2B SaaS", "Cloud-native architecture", "Multi-tenant SaaS", "SaaS metrics", "GDPR", "SOC 2", "PIPEDA", "CCPA" ], "toolProficiency" : [ "Collibra", "Informatica", "Alation", "Immuta", "JIRA" ], "communicationSkills" : "Executive presentations; Technical documentation", "documentationSkills" : "Technical writing; API documentation; Architecture diagrams", "continuousLearning" : "Growth opportunities", "innovationCreativity" : "Innovation", "problemSolvingSkills" : "Root cause analysis; Troubleshooting", "qualificationsBasic" : "10+ years of experience in data engineering, AI/ML, or analytics leadership roles, SQL proficiency, Master's or PhD in", "qualificationsPreferred" : "PhD preferred, GCP Professional Data Engineer, AWS Data Analytics, Databricks Certified, Dbt Certified", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "MEET BENEVITY Benevity is the way the world does good, providing companies (and their employees) with technology to take social action on the issues they care about. Through giving, volunteering, grantmaking, employee resource groups and micro-actions, we help most of the Fortune 100 brands build better cultures and use their power for good. We’re also one of the first B Corporations in Canada, meaning we’re as committed to purpose as we are to profits. We have people working all over the world, including Canada, Spain, Switzerland, the United Kingdom, the United States and more! We are seeking a Director of Data and ML/AI Engineering to lead our data and AI technology strategy, architecture, and execution within our B2B SaaS Benevity Impact Platform. This role is pivotal in enabling data-driven decision-making, product intelligence, and AI-powered services and automation across our platform. The ideal candidate will have deep expertise in scalable data engineering, AI/ML systems and services, and cloud-based data architectures, with a track record of building highly available, real-time analytics, and ML/AI-driven solutions for SaaS platforms. This role will oversee data science, data modeling, business intelligence, governance, and ML/AI systems engineering, ensuring alignment with our client and business needs. What you’ll do: Leadership & Data Strategy - Define and execute the data and AI strategy for our SaaS platform, ensuring alignment with business objectives and customer needs. - Lead cross-functional teams across data engineering, AI/ML, BI, and governance to deliver scalable, high-impact solutions. - Establish data-as-a-product principles, ensuring data assets are secure, reusable, and monetizable within our platform. - Drive innovation in real-time analytics, AI-powered automation and intelligence for clients. - Partner with Product, Engineering, and Customer Success teams to enhance data-driven insights, reporting, and self-service analytics. Data Engineering & Platform Architecture - Design and oversee high-scale, cloud-native data architectures that support real-time streaming, data lakes / lakehouses, and enterprise warehousing. - Implement highly available, fault-tolerant data pipelines to process, store, and serve insights across the platform. - Lead data modeling initiatives to optimize data structures for analytics, ML training, and business reporting. - Work with engineering teams to embed AI-powered features into the SaaS platform, enabling smart automation, anomaly detection, and personalization. - Drive observability, monitoring, and cost optimization across our cloud-based data infrastructure. AI/ML Engineering & Data Science - Oversee the development of ML/AI models, ensuring they are scalable, explainable, and deployed effectively in production. - Implement MLOps best practices, including CI/CD for models, versioning, and real-time inference. - Lead initiatives in AI-powered recommendations, predictive analytics, NLP, and generative AI to enhance our product offerings. - Ensure bias-free, ethical AI practices and compliance with industry AI standards and regulations. Business Intelligence & Product Analytics - Build and manage BI tools, dashboards, and self-service analytics to provide real-time insights to clients and internal stakeholders. - Develop product analytics frameworks, tracking user behavior, adoption, and feature engagement. - Implement embedded analytics solutions that allow clients to gain actionable insights from their data. - Optimize reporting for SaaS metrics (MRR, ARR, churn, retention, LTV, NPS) and drive data-informed decision-making. Data Governance & Compliance - Own data governance frameworks, ensuring data privacy, security, and compliance (GDPR, SOC 2, PIPEDA, CCPA, etc.). - Define and implement data lineage, metadata management, and master data management (MDM) best practices. - Drive role-based access controls (RBAC, ABAC or ReBac) and ensure secure, auditable data sharing within our SaaS ecosystem. - Champion data democratization, enabling teams to access trusted, well-documented data. What you’ll bring: - 10+ years of experience in data engineering, AI/ML, or analytics leadership roles, ideally in B2B SaaS or cloud-based platforms - Strong expertise in scalable data architectures, ML/AI systems, and embedded analytics - Proven track record in leading high-performance teams, managing budgets, and delivering data-driven product innovations - Experience with multi-tenant SaaS data governance, compliance (SOC 2, GDPR, etc.), and customer-facing analytics - Familiarity with emerging AI trends, including LLMs, Generative AI, and responsible AI frameworks - Familiarity with SaaS product analytics and AI-powered automation use cases - Master’s or PhD in Computer Science, Data Science, AI/ML, or a related field is preferred Technical Skills & Expertise - Data & AI Stacks (Cloud-Native, SaaS-Optimized) - Data Engineering & Storage: BigQuery, Redshift, Delta Lake, Snowflake, Databricks - AI/ML Frameworks: Azure AI, TensorFlow, PyTorch, Hugging Face, MLflow, Vertex AI - MLOps & Pipelines: Kubeflow, SageMaker, Airflow, Feature Stores, DataRobot - BI & Analytics Tools: Looker, Power BI, Mode Analytics, Amplitude, Mixpanel - Data Governance & Security: Collibra, Informatica, Alation, Immuta - Cloud & DevOps: AWS (S3, Lambda, Kinesis), GCP (BigQuery, Pub/Sub), Kubernetes, Terraform - Programming: Python, SQL, Scala, Java - Streaming & Real-Time Data: Kafka, Flink, Apache Beam DISCOVER YOUR PURPOSE AT WORK We’re not employees, we’re Benevity-ites. From all locations, backgrounds and walks of life, who deserve more … Innovative work. Growth opportunities. Caring co-workers. And a chance to do work that fills us with a sense of purpose. If the idea of working on tech that helps people do good in the world lights you up ... If you want a career where you’re valued for who you are and challenged to see who you can become … It’s time to join Benevity. We’re so excited to meet you. WHERE WE WORK At Benevity, we embrace a flexible hybrid approach to where we work that empowers our people in a way that supports great work, strong relationships, and personal well-being. For those located near one of our offices, while there’s no set requirement for in-office time, we do value the moments when coming together in person helps us build connection and collaboration. Whether it’s for onboarding, project work, or a chance to align and bond as a team, we trust our people to make thoughtful decisions about when showing up in person matters most. JOIN A COMPANY WHERE DEIB ISN’T A BUZZWORD Diversity, equity, inclusion and belonging are part of Benevity’s DNA. You’ll see the impact of our massive investment in DEIB daily — from our well-supported employee resources groups to the exceptional diversity on our leadership and tech teams. We know that diverse backgrounds, experiences, skills and passions are what move our business and our people forward, so we're committed to creating a culture of belonging with equal opportunities for everyone to shine. That starts with a fair and accessible hiring process. If you want to feel seen, heard and celebrated, you belong at Benevity. Candidates with disabilities who may require accommodations throughout the hiring or assessment process are encouraged to reach out to accommodations@benevity.com.", "summaryDescription" : "Director, Data and AI Engineering at Benevity. Skills: Data Engineering, AI/ML Engineering, Data Strategy, Business Intelligence. Define and execute data and AI strategy. Lead cross-functional teams", "createdAt" : "2026-06-16T01:59:44.833", "lastUpdated" : "2026-06-16T15:07:30.375", "ingestTimestamp" : "2026-06-16T01:59:44.833", "mongoId" : "6a30794df292fd229c031216", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "150k-200k", "hasSalary" : false, "allSkills" : [ "Regression", "Classification", "Clustering", "Time-series", "A/B testing", "Causal inference", "Leadership", "Data Engineering", "AI/ML Engineering", "Data Strategy", "Business Intelligence", "Data strategy", "Data modeling", "Business intelligence", "Data governance", "ML systems engineering", "Product intelligence", "AI-powered services", "Data-driven decision-making", "Scalable data engineering", "AI/ML systems", "Cloud-based data architectures", "Real-time analytics", "ML/AI-driven solutions", "Client needs", "Data-as-a-product", "Data assets", "AI-powered automation", "Data-driven insights", "Self-service analytics", "Data pipelines", "Enterprise warehousing", "ML training", "Business reporting", "AI-powered features", "Anomaly detection", "Personalization", "Cost optimization", "MLOps", "CI/CD", "Real-time inference", "Recommendations", "Predictive analytics", "NLP", "Generative AI", "Ethical AI", "AI standards", "BI tools", "Dashboards", "Product analytics", "User behavior", "Feature engagement", "Embedded analytics", "SaaS metrics", "Data privacy", "Data security", "Compliance", "Data lineage", "Metadata management", "MDM", "RBAC", "ABAC", "ReBac", "Data sharing", "Data democratization", "Trusted data", "Documented data", "Team leadership", "Budget management", "Product innovations", "Multi-tenant SaaS", "Customer-facing analytics", "Emerging AI trends", "Responsible AI frameworks", "Agile", "B2B SaaS", "Cloud-native architecture", "GDPR", "SOC 2", "PIPEDA", "CCPA", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "Collibra", "Informatica", "Alation", "Immuta", "JIRA" ], "skillCount" : 90, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Director", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "SaaS", "llmIndustryConfidence" : 0.98 }, { "id" : "6a305098f292fd229cef28cd", "title" : "Manager, AI Agents and Platform", "company" : "Jerry. ai", "industry" : "Product", "salary" : { "min" : 130000.0, "max" : 170000.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "San Francisco Bay Area", "locations" : [ "San Francisco Bay Area", "Miami, Florida", "Houston, Texas", "Los Angeles, California", "New York, New York", "Chicago, Illinois", "Atlanta, Georgia" ], "timestamp" : "2026-06-16T10:58:18.614", "fingerprint" : "8904fed3afde47cdb3edb91abf4887e6fe3968965d7cf77c121ca9639fa2a1ac", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/jerry.ai/78520c51-c059-4645-9237-a1a5d7e4205e/application", "externalId" : "78520c51-c059-4645-9237-a1a5d7e4205e", "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, Agents, APIs, SQL", "professionalSkills" : [ "API design", "System architecture" ], "hardSkillsList" : [ "Prompt strategies", "Evaluation frameworks", "Guardrails" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Prompt strategies", "level" : "intermediate" }, { "name" : "Evaluation frameworks", "level" : "intermediate" }, { "name" : "Guardrails", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "AI platform, LLM systems, Workflow automation", "majorSkillsList" : [ "AI platform", "LLM systems", "Workflow automation" ], "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 next generation voice models, Deploy next generation voice models, Evaluate workflow automation, Deploy workflow automation", "teamCollaboration" : "Partner with engineers; Technical translator between engineering; Work with partners at OpenAI", "projectManagementSkills" : [ "Roadmap planning" ], "domainKnowledge" : "Car ownership; Car insurance; Car financing; Car maintenance; Car safety; Voice models", "domainList" : [ "car-ownership", "car-insurance", "car-financing", "car-maintenance", "car-safety", "voice-models" ], "domainSpecificKnowledge" : [ "Car ownership", "Car insurance", "Car financing", "Car maintenance", "Car safety", "Voice models" ], "communicationSkills" : "Technical translator", "innovationCreativity" : "Pioneer new model capabilities", "problemSolvingSkills" : "Optimistic problem-solver; Data-driven validation", "outcomesObjectives" : "Automate >70% inbound sales; Automate >70% service requests; Improve answer quality; Improve customer satisfaction; Improve automation rates", "qualificationsBasic" : "4+ years management consulting, 4+ years technical product management, Ability to navigate technical tradeoffs, Lead by example implementing AI standards, Turn complex ideas into scalable products", "qualificationsPreferred" : "Proven interest in modern LLM systems", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "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" : "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" : "2026-06-16T00:30:00.264", "lastUpdated" : "2026-06-16T10:58:18.614", "ingestTimestamp" : "2026-06-16T00:30:00.264", "mongoId" : "6a305098f292fd229cef28cd", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 130000, "salaryAnnualMax" : 170000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Prompt strategies", "Evaluation frameworks", "Guardrails", "Leadership", "AI platform", "LLM systems", "Workflow automation", "API design", "System architecture", "Roadmap planning", "Car ownership", "Car insurance", "Car financing", "Car maintenance", "Car safety", "Voice models" ], "skillCount" : 16, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Manager", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305930f292fd229cf45a0e", "title" : "Manager, AI Agents and Platform", "company" : "Jerry. ai", "industry" : "Product", "salary" : { "min" : 130000.0, "max" : 170000.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "San Francisco Bay Area", "locations" : [ "San Francisco Bay Area", "Miami, Florida", "Houston, Texas", "Los Angeles, California", "New York, New York", "Chicago, Illinois", "Atlanta, Georgia" ], "timestamp" : "2026-06-16T09:37:59.193", "fingerprint" : "201f2e8b636e079d9e563313821777742e62c98b8b4f71b5d1e3c712b7303296", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/Jerry.ai/78520c51-c059-4645-9237-a1a5d7e4205e/application", "externalId" : "78520c51-c059-4645-9237-a1a5d7e4205e", "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, Agents, APIs, SQL", "professionalSkills" : [ "API design", "System architecture" ], "hardSkillsList" : [ "Prompt strategies", "Evaluation frameworks", "Guardrails" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Prompt strategies", "level" : "intermediate" }, { "name" : "Evaluation frameworks", "level" : "intermediate" }, { "name" : "Guardrails", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "AI platform, LLM systems, Workflow automation", "majorSkillsList" : [ "AI platform", "LLM systems", "Workflow automation" ], "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 next generation voice models, Deploy next generation voice models, Evaluate workflow automation, Deploy workflow automation", "teamCollaboration" : "Cross-functional teams; Partner with engineers; Work with partners at OpenAI", "projectManagementSkills" : [ "Roadmap planning" ], "domainKnowledge" : "Car ownership; Automotive industry; Voice models", "domainList" : [ "car-ownership", "automotive-industry", "voice-models" ], "domainSpecificKnowledge" : [ "Car ownership", "Automotive industry", "Voice models" ], "communicationSkills" : "Technical translation", "innovationCreativity" : "Pioneer new model capabilities", "problemSolvingSkills" : "Optimistic problem-solver", "outcomesObjectives" : "Improve answer quality; Improve customer satisfaction; Improve automation rates", "qualificationsBasic" : "4+ years management consulting, 4+ years technical product management, Ability to navigate technical tradeoffs, Lead by example implementing AI standards, Turn complex ideas into scalable products", "qualificationsPreferred" : "Proven interest in modern LLM systems", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "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" : "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" : "2026-06-16T00:25:50.223", "lastUpdated" : "2026-06-16T09:37:59.193", "ingestTimestamp" : "2026-06-16T00:25:50.223", "mongoId" : "6a305930f292fd229cf45a0e", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 130000, "salaryAnnualMax" : 170000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Prompt strategies", "Evaluation frameworks", "Guardrails", "Leadership", "AI platform", "LLM systems", "Workflow automation", "API design", "System architecture", "Roadmap planning", "Car ownership", "Automotive industry", "Voice models" ], "skillCount" : 13, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Manager", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a24e70374d8ee00a0022dba", "title" : "AI Developer", "company" : "SD Solutions", "industry" : "Technology", "salary" : { "min" : 240000.0, "max" : 360000.0, "currency" : "PLN", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an AI Developer in Warsaw, Poland, adjusted for Lead seniority and the Technology industry." }, "location" : "Warsaw, PL", "locations" : [ "Warsaw", "PL", "Serbia", "Romania" ], "timestamp" : "2026-06-16T02:56:01.579", "fingerprint" : "6284217cde548adc9785f3e2d91bd31270086d7cacd7e36a2bcc587c44fb634f", "source" : "breezyhr", "language" : "en", "applyUrl" : "https://sd-solutions.breezy.hr/p/214ce3dba1df01-nda-adtech-ai-developer", "externalId" : "214ce3dba1df01", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Warsaw", "country" : "Poland", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "52.2333742,21.0711489" } ], "locationText" : "Warsaw, Poland", "employmentType" : "FULL_TIME", "technicalSkills" : "Gen AI", "softSkillsList" : [ "Leadership", "Mentoring" ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" } ], "majorSkills" : "AI Development", "majorSkillsList" : [ "AI Development" ], "coreResponsibilities" : "Lead Gen AI teams, Mentor Gen AI teams, Develop conversational agents, Manage the team", "qualificationsBasic" : "Lead Gen AI teams, Develop conversational agents", "rawDescription" : "On behalf of NDA, AdTech, SD Solutions is looking for a talented AI Developer. SD Solutions is a staffing company operating globally. Contact us to get more details about the benefits we offer. Responsibilities: Lead and mentor two Gen AI teams in developing conversational agents. Manage the team r", "summaryDescription" : "AI Developer at SD Solutions. Skills: AI Development. Lead Gen AI teams. Mentor Gen AI teams", "createdAt" : "2026-06-14T18:41:41.054", "lastUpdated" : "2026-06-16T02:56:01.579", "ingestTimestamp" : "2026-06-14T18:41:41.054", "mongoId" : "6a24e70374d8ee00a0022dba", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Leadership", "Mentoring", "AI Development" ], "skillCount" : 3, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Lead", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a307648f292fd229c017e06", "title" : "AI First Developer", "company" : "Smartcat", "industry" : "SaaS", "salary" : { "min" : 7000000.0, "max" : 1.2E7, "currency" : "AMD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level AI First Developer in Armenia, adjusted for the technology industry and remote work." }, "location" : "Armenia - Remote", "locations" : [ "Armenia - Remote", "Costa Rica - Remote", "Georgia - Remote", "Portugal - Remote", "Serbia - Remote" ], "timestamp" : "2026-06-16T13:50:15.316", "fingerprint" : "2a2a7ab55e9eddc89c43352ac964c42f8c65fc71742c5763c1b065cbfaf4a514", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://www.smartcat.com/career/?gh_jid=6000304004", "externalId" : "6000304004", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Armenia", "continent" : "as", "workMode" : "remote" } ], "locationText" : "Armenia", "technicalSkills" : "NET Core, MongoDB, PostgreSQL, AWS, Elasticsearch, ELK, EFK, VM, Prometheus, Grafana", "professionalSkills" : [ "Data-driven approach" ], "hardSkillsList" : [ "Application development", "Refactoring", "Bug fixing", "Writing tests", "Code review" ], "softSkillsList" : [ "Commitment", "Determination", "Feedback" ], "hardSkills" : [ { "name" : "Application development", "level" : "intermediate" }, { "name" : "Refactoring", "level" : "intermediate" }, { "name" : "Bug fixing", "level" : "intermediate" }, { "name" : "Writing tests", "level" : "intermediate" }, { "name" : "Code review", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Commitment" }, { "name" : "Determination" }, { "name" : "Feedback" } ], "majorSkills" : "NET Core, AWS, Databases", "majorSkillsList" : [ "NET Core", "AWS", "Databases" ], "coreResponsibilities" : "Maintain functionality, Improve functionality, Develop application parts, Design application parts, Refactor application parts, Fix bugs, Write tests, Review code, Share knowledge", "teamCollaboration" : "Global team; Fully remote team", "domainKnowledge" : "Agentic AI; Enterprise Skill Graph; Generative AI; Human-in-the-loop workflows; Multilingual content; Language AI platform", "domainList" : [ "agentic-ai", "enterprise-skill-graph", "generative-ai", "human-in-the-loop-workflows", "multilingual-content", "language-ai-platform" ], "domainSpecificKnowledge" : [ "Agentic AI", "Enterprise Skill Graph", "Generative AI", "Human-in-the-loop workflows", "Multilingual content", "Language AI platform" ], "toolProficiency" : [ "AWS", "Elasticsearch", "ELK", "EFK", "Prometheus", "Grafana" ], "innovationCreativity" : "AI innovation", "specialRequirements" : "Intense startup environment", "outcomesObjectives" : "Deliver value for customers; Improve stability; Improve observability", "qualificationsBasic" : "NET development experience, Test coverage experience, OOP principles knowledge, Design patterns knowledge, Database concurrency experience, Upper-Intermediate English", "qualificationsPreferred" : "AWS hosting experience, Elasticsearch cluster experience, ELK (EFK) experience, Prometheus and Grafana experience", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "About Smartcat Smartcat is building the future of work, where human expertise meets digital teammates to drive 10x to 1000x productivity gains for the world’s leading enterprises. We’re on the frontier of an entirely new category: Agentic AI. We enable enterprises to build high-performing hybrid workforces made up of both humans and AI agents. These AI agents aren’t generic copilots. They’re fully trained digital teammates that learn from your best people, your content, and your business strategy—ready to get to work from day one. Our platform combines generative AI, human-in-the-loop workflows, and a living Enterprise Skill Graph that continuously learns and improves. Whether you're launching a product globally, onboarding new hires, translating learning content, or aligning legal teams across regions, Smartcat turns knowledge into action and action into scale. Over 1,000 companies, including 20% of the Fortune 500, rely on Smartcat to bring their business to the world—instantly, accurately, and in every language. As a Series C company with consistently high year-over-year growth, we’re scaling fast and investing in people who want to shape the future of work with us. Join us in unlocking global potential, one human and agent team at a time. Smartcat was founded in 2016 to help global enterprises create and manage their multilingual content. Today, Smartcat is the essential language AI platform for the global enterprise. Our client-tailored language AI turns content in any format into any language, from documents to videos to complex websites and software, making global operations simple for any corporate team. It also allows any user to create new content by tapping into a multilingual enterprise library. More than 1,000 global companies including 25% of the Fortune 500 trust Smartcat to communicate their innovations and ideas all over the world. Smartcat’s vision is to realise a world where there is equal access to innovations and ideas. Smartcat is backed by Matrix Partners, FJ Labs, and other leading VC firms focusing on SaaS, marketplaces and AI. You might recognize names like HubSpot, Zendesk, Uber, Stripe, RigUp, and Quora in their portfolios. Despite the economic recession, Smartcat is growing at 150% YoY. It's well-funded and capital efficient, providing a unique combination of a hyper-growth environment with downside protection and the ability to think and plan long-term. Mission Your mission will be to maintain and improve existing functionality and develop new application parts. This position will be remote-based in Europe. Ideal locations include: Serbia, Armenia, Bulgaria, Georgia and Romania. Outcomes Deliver value for our customers Improve the stability and observability of our product Develop parts of the application: design, refactoring, fixing bugs, and writing tests to maintain the quality and functionality of the product and libraries Review code and share knowledge with the team Requirements Experience in .NET development and test coverage Knowledge of OOP principles and design patterns Experience with Database concurrency Upper-Intermediate English: both written and spoken A data-driven approach. Ability to justify decisions using concrete metrics Integrity and full commitment Growth mindset Readiness to work in an intense startup environment requiring extreme focus, a strong sense of ownership, and determination to break through Openness to constructive feedback and the opinions and ideas of others Our technologies PL: .NET Core DB: MongoDB, PostgreSQL Hosting in the AWS Elasticsearch cluster, indexes for several billion documents ELK (EFK) for logging, VM, Prometheus and Grafana for metrics and monitoring Why joining Smartcat might be your best move so far Fully remote team We are a global team of 200+ enthusiastic people spread across 30 countries. We have been fully remote since 2020, with some locations populated with more Smartcatters than others, such as Boston, NYC, SF, the Bay Area, London, Lisbon, and Yerevan. Innovating the $50 Billion-old industry Smartcat’s innovative business model taps into this $50B language translation industry with a platform allowing enterprise end users to stop using traditional outsourcing and enjoy easy-to-use AI-powered SaaS that delivers immediate high-quality results at a fraction of the cost. High impact role enabling innovation and inclusion in organizations You will enjoy building with us. You will drive changes in how an old-fashioned global language industry operates while improving how hundreds of thousands of people work and millions of people exchange knowledge and ideas worldwide. Join the rocketship to scale-up 10x and beyond together We are looking for someone to become an integral part of our team and play a crucial role in the most exciting part of our journey: transitioning from a post-Series B startup to a company exceeding $100M in ARR and $1B in valuation. Our journey isn’t for the faint of heart. We are growing at 150% YoY, thanks to our strong product-market fit and high-performing team. Smartcat Culture: Where Diversity Meets High Performance At Smartcat, we are committed to building a culture that highlights respect and appreciation for each individual's unique background and perspective, while maintaining a strong focus on results and clear, honest and direct communication. We believe in welcoming everyone and fostering an inclusive environment where team members can be their authentic selves at work. Our commitment to diversity and inclusion is steadfast, and we stand firmly against discrimination and harassment. Why joining Smartcat might be your best move so far A global, connected team We’re a team of 200+ people across 30+ countries, working together through a hub-and-spoke model anchored in eight key locations: New York, London, Lisbon, Costa Rica, Serbia, Armenia, Georgia, and Spain. Most of our roles are remote-friendly, giving you the flexibility to do your best work from where you thrive. For customer-facing teams, we prioritize proximity to our customers, ensuring we stay deeply connected to their needs and deliver an exceptional experience. No matter where you’re based, you’ll be part of a highly collaborative, globally-distributed team that values ownership, speed, and meaningful impact. Be part of an AI Native Organization We are highly innovative, using AI across all areas of the organization to accelerate decision-making and free people to focus on strategy and high-impact work. We embrace new ideas and encourage all Smartcaters, regardless of level or department, to manage their own AI Agents. At Smartcat you’ll shape how AI transforms the workplace and play an integral role in ensuring Smartcat remains a leader in AI innovation. Innovating a $100 Billion industry Smartcat is reshaping the $100B multilingual content industry with an AI-powered platform that makes it easy for companies to create, translate, and localize global content at scale. Our platform enables enterprise teams to move away from slow, traditional outsourcing methods, and achieve fast, high-quality results, at a fraction of the cost. Join the rocketship to scale-up 10x and beyond together We are looking for someone to become an integral part of our team and play a crucial role in the most exciting part of our journey: transitioning from a post-Series C startup to a company exceeding $100M in ARR and $1B in valuation. Our journey isn’t for the faint of heart. We are growing at 130% YoY, thanks to our strong product-market fit and high-performing team, and plan to accelerate from here. Smartcat Culture Code: Where Diversity Meets High Performance At Smartcat, we are committed to building a culture that highlights respect and appreciation for each individual's unique background and perspective, while maintaining a strong focus on results and engagement. We believe in welcoming everyone and fostering an inclusive environment where team members can be their authentic selves at work. Our commitment to inclusion is steadfast, and we stand firmly against discrimination and harassment.", "summaryDescription" : "AI First Developer at Smartcat. Skills: NET Core, AWS, Databases. Maintain functionality. Improve functionality", "postedDate" : "2026-06-16T01:19:33.805", "createdAt" : "2026-06-16T01:19:33.805", "lastUpdated" : "2026-06-16T13:50:15.316", "ingestTimestamp" : "2026-06-16T01:19:33.805", "mongoId" : "6a307648f292fd229c017e06", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Application development", "Refactoring", "Bug fixing", "Writing tests", "Code review", "Commitment", "Determination", "Feedback", "NET Core", "AWS", "Databases", "Data-driven approach", "Agentic AI", "Enterprise Skill Graph", "Generative AI", "Human-in-the-loop workflows", "Multilingual content", "Language AI platform", "Elasticsearch", "ELK", "EFK", "Prometheus", "Grafana" ], "skillCount" : 23, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a3071f3f292fd229cffb659", "title" : "Python Engineer (AI/ML)", "company" : "EVERSANA", "industry" : "Pharmaceuticals", "salary" : { "min" : 1500000.0, "max" : 2500000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Python Engineer (AI/ML) in Pune, India, adjusted for the healthcare industry and company size." }, "location" : "Pune, MH, IN", "locations" : [ "Pune", "MH", "IN" ], "timestamp" : "2026-06-16T12:34:28.851", "fingerprint" : "893344570b4e50f55fcccb866dc65d3ca352d7d2e67d5a03780d52081b9deff5", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/EVERSANA1/744000132221719-python-engineer-ai-ml-", "externalId" : "744000132221719", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Pune", "state" : "Maharashtra", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "18.5213738,73.8545071" } ], "locationText" : "Pune, Maharashtra, India", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "technicalSkills" : "Python, C++, Java, Go, Machine Learning, Deep Learning, Natural Language Processing, Computer Vision, Reinforcement Learning, Large Language Models, PyTorch, TensorFlow, JAX, Distributed training, GPU computing, Cloud platforms, Kubernetes, Docker, CI/CD, Data pipelines", "professionalSkills" : [ "System design", "Algorithm design" ], "hardSkillsList" : [ "Distributed systems", "Large-scale systems" ], "hardSkills" : [ { "name" : "Distributed systems", "level" : "intermediate" }, { "name" : "Large-scale systems", "level" : "intermediate" } ], "majorSkills" : "Machine Learning, Deep Learning, Large Language Models", "majorSkillsList" : [ "Machine Learning", "Deep Learning", "Large Language Models" ], "coreResponsibilities" : "Design and implement machine learning models, Develop and deploy deep learning systems, Build and maintain large-scale AI infrastructure, Research and apply state-of-the-art AI techniques, Collaborate with cross-functional teams, Contribute to the development of AI products, Optimize AI models for performance and scalability, Stay up-to-date with AI research and trends", "teamCollaboration" : "Cross-functional teams", "domainKnowledge" : "Distributed systems; Large-scale systems; Machine learning; Deep learning; Natural language processing; Computer vision; Reinforcement learning; Large language models", "domainList" : [ "distributed-systems", "large-scale-systems", "machine-learning", "deep-learning", "natural-language-processing", "computer-vision", "reinforcement-learning", "large-language-models" ], "domainSpecificKnowledge" : [ "Distributed systems", "Large-scale systems", "Machine learning", "Deep learning", "Natural language processing", "Computer vision", "Reinforcement learning", "Large language models" ], "toolProficiency" : [ "PyTorch", "TensorFlow", "JAX", "Kubernetes", "Docker" ], "problemSolvingSkills" : "Problem-solving", "qualificationsBasic" : "5+ years of experience, Bachelor's degree in Computer Science, Master's degree in Computer Science, PhD in Computer Science, Experience with Python, Experience with C++, Experience with Java, Experience with Go, Experience with distributed systems, Experience with large-scale systems", "qualificationsPreferred" : "Experience with machine learning, Experience with deep learning, Experience with natural language processing, Experience with computer vision, Experience with reinforcement learning, Experience with large language models, Experience with PyTorch, Experience with TensorFlow, Experience with JAX, Experience with distributed training, Experience with GPU computing, Experience with cloud platforms, Experience with Kubernetes, Experience with Docker, Experience with CI/CD, Experience with data pipelines, Experience with large datasets", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "At EVERSANA, we are proud to be certified as a Great Place to Work across the globe. We’re fueled by our vision to create a healthier world. How? Our global team of more than 7,000 employees is committed to creating and delivering next-generation commercialization services to the life sciences industry. We are grounded in our cultural beliefs and serve more than 650 clients ranging from innovative biotech start-ups to established pharmaceutical companies. Our products, services and solutions help bring innovative therapies to market and support the patients who depend on them. Our jobs, skills and talents are unique, but together we make an impact every day. Join us! Across our growing organization, we embrace diversity in backgrounds and experiences. Improving patient lives around the world is a priority, and we need people from all backgrounds and swaths of life to help build the future of the healthcare and the life sciences industry. We believe our people make all the difference in cultivating an inclusive culture that embraces our cultural beliefs. We are deliberate and self-reflective about the kind of team and culture we are building. We look for team members that are not only strong in their own aptitudes but also who care deeply about EVERSANA, our people, clients and most importantly, the patients we serve. We are EVERSANA. We are looking for a Python AI/ML Engineer with hands-on experience in Machine Learning, Large Language Models (LLMs), and backend integration. The ideal candidate will work on building intelligent systems such as chatbots, AI assistants, data-driven APIs, and automation solutions using modern AI/ML frameworks and LLM technologies. Key Responsibilities * Design, develop, and maintain Python-based AI/ML applications * Build and integrate LLM-powered solutions (chatbots, document Q&A, summarization, intent detection) * Implement ML pipelines: data preprocessing, training, evaluation, and inference * Develop and optimize REST APIs using Fast API / Flask * Integrate AI solutions with SQL databases * Work with vector databases (FAISS, Chroma, Pinecone) * Optimize model performance, latency, and cost * Handle prompt engineering and RAG pipelines * Write clean, testable, and well-documented code ## Qualifications Required Skills Programming & Backend * Strong proficiency in Python * Experience with Fast API / Flask * SQL and SQL Alchemy AI / ML * Machine Learning fundamentals * Hands-on experience with LLMs (OpenAI, Azure OpenAI, Hugging Face) * NLP tasks: embeddings, classification, similarity search * Prompt engineering experience Good to Have * RAG architecture experience * Model deployment on CPU/GPU * Docker and cloud basics * On-prem AI deployment experience * LLM fine-tuning knowledge Soft Skills * Problem-solving mindset * Good communication skills * Ability to learn new technologies quickly * Team collaboration skills ## Additional Information OUR CULTURAL BELIEFS: Patient Minded I act with the patient’s best interest in mind. Client Delight I own every client experience and its impact on results. Take Action I am empowered and empower others to act now. Grow Talent I own my development and invest in the development of others. Win Together I passionately connect with anyone, anywhere, anytime to achieve results. Communication Matters I speak up to create transparent, thoughtful and timely dialogue. Embrace Diversity I create an environment of awareness and respect. Always Innovate I am bold and creative in everything I do. Our team is aware of recent fraudulent job offers in the market, misrepresenting EVERSANA. Recruitment fraud is a sophisticated scam commonly perpetrated through online services using fake websites, unsolicited e-mails, or even text messages claiming to be a legitimate company. Some of these scams request personal information and even payment for training or job application fees. Please know EVERSANA would never require personal information nor payment of any kind during the employment process. We respect the personal rights of all candidates looking to explore careers at EVERSANA. From EVERSANA’s inception, Diversity, Equity & Inclusion have always been key to our success. We are an Equal Opportunity Employer, and our employees are people with different strengths, experiences, and backgrounds who share a passion for improving the lives of patients and leading innovation within the healthcare industry. Diversity not only includes race and gender identity, but also age, disability status, veteran status, sexual orientation, religion, and many other parts of one’s identity. All of our employees’ points of view are key to our success, and inclusion is everyone's responsibility. Follow us on [LinkedIn](https://www.linkedin.com/company/eversana/) | [Twitter](https://twitter.com/EVERSANAcompany)", "summaryDescription" : "Python Engineer (AI/ML) at EVERSANA. Skills: Machine Learning, Deep Learning, Large Language Models. Design and implement machine learning models. Develop and deploy deep learning systems", "postedDate" : "2026-06-15T14:39:56.000", "createdAt" : "2026-06-16T01:39:41.034", "lastUpdated" : "2026-06-16T12:34:28.851", "ingestTimestamp" : "2026-06-16T01:39:41.034", "mongoId" : "6a3071f3f292fd229cffb659", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Distributed systems", "Large-scale systems", "Machine Learning", "Deep Learning", "Large Language Models", "System design", "Algorithm design", "Machine learning", "Deep learning", "Natural language processing", "Computer vision", "Reinforcement learning", "Large language models", "PyTorch", "TensorFlow", "JAX", "Kubernetes", "Docker" ], "skillCount" : 18, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.98 }, { "id" : "6a30623cf292fd229cf99656", "title" : "Python Engineer (AI/ML)", "company" : "EVERSANA", "industry" : "Pharmaceuticals", "salary" : { "min" : 1500000.0, "max" : 2500000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Python Engineer (AI/ML) in Pune, India, adjusted for the healthcare industry and company size." }, "location" : "Pune, MH, IN", "locations" : [ "Pune", "MH", "IN" ], "timestamp" : "2026-06-16T10:15:09.669", "fingerprint" : "ce5b26b0f8600157b3f0169dbdcfca8721a24bd40420dbc850e285dc30c2a071", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/EVERSANA1/744000132221719-python-engineer-ai-ml-", "externalId" : "744000132221719", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Pune", "state" : "Maharashtra", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "18.5213738,73.8545071" } ], "locationText" : "Pune, Maharashtra, India", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "technicalSkills" : "Python, Cloud platforms, Distributed systems, Machine learning, Deep learning, Large language models, MLOps", "professionalSkills" : [ "System design", "Algorithm design" ], "hardSkillsList" : [ "Algorithm design", "System design" ], "hardSkills" : [ { "name" : "Algorithm design", "level" : "intermediate" }, { "name" : "System design", "level" : "intermediate" } ], "majorSkills" : "AI, Machine Learning, Python", "majorSkillsList" : [ "AI", "Machine Learning", "Python" ], "coreResponsibilities" : "Design and implement AI/ML models, Develop and deploy machine learning solutions, Build and maintain scalable AI infrastructure, Collaborate with cross-functional teams, Research and apply cutting-edge AI techniques, Optimize model performance, Ensure responsible AI development practices", "teamCollaboration" : "Cross-functional teams", "domainKnowledge" : "Artificial intelligence; Machine learning; Large language models; Deep learning", "domainList" : [ "artificial-intelligence", "machine-learning", "large-language-models", "deep-learning" ], "domainSpecificKnowledge" : [ "Artificial intelligence", "Machine learning", "Large language models", "Deep learning" ], "documentationSkills" : "Technical documentation", "continuousLearning" : "Stay current with AI research", "innovationCreativity" : "Research and apply cutting-edge AI techniques", "problemSolvingSkills" : "Troubleshoot model issues; Optimize model performance", "qualificationsBasic" : "5+ years of experience, Bachelor's degree in Computer Science, Experience with Python, Experience with cloud platforms, Experience with distributed systems", "qualificationsPreferred" : "Master's degree or PhD, Experience with large language models, Experience with deep learning frameworks, Experience with MLOps", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "At EVERSANA, we are proud to be certified as a Great Place to Work across the globe. We’re fueled by our vision to create a healthier world. How? Our global team of more than 7,000 employees is committed to creating and delivering next-generation commercialization services to the life sciences industry. We are grounded in our cultural beliefs and serve more than 650 clients ranging from innovative biotech start-ups to established pharmaceutical companies. Our products, services and solutions help bring innovative therapies to market and support the patients who depend on them. Our jobs, skills and talents are unique, but together we make an impact every day. Join us! Across our growing organization, we embrace diversity in backgrounds and experiences. Improving patient lives around the world is a priority, and we need people from all backgrounds and swaths of life to help build the future of the healthcare and the life sciences industry. We believe our people make all the difference in cultivating an inclusive culture that embraces our cultural beliefs. We are deliberate and self-reflective about the kind of team and culture we are building. We look for team members that are not only strong in their own aptitudes but also who care deeply about EVERSANA, our people, clients and most importantly, the patients we serve. We are EVERSANA. We are looking for a Python AI/ML Engineer with hands-on experience in Machine Learning, Large Language Models (LLMs), and backend integration. The ideal candidate will work on building intelligent systems such as chatbots, AI assistants, data-driven APIs, and automation solutions using modern AI/ML frameworks and LLM technologies. Key Responsibilities * Design, develop, and maintain Python-based AI/ML applications * Build and integrate LLM-powered solutions (chatbots, document Q&A, summarization, intent detection) * Implement ML pipelines: data preprocessing, training, evaluation, and inference * Develop and optimize REST APIs using Fast API / Flask * Integrate AI solutions with SQL databases * Work with vector databases (FAISS, Chroma, Pinecone) * Optimize model performance, latency, and cost * Handle prompt engineering and RAG pipelines * Write clean, testable, and well-documented code ## Qualifications Required Skills Programming & Backend * Strong proficiency in Python * Experience with Fast API / Flask * SQL and SQL Alchemy AI / ML * Machine Learning fundamentals * Hands-on experience with LLMs (OpenAI, Azure OpenAI, Hugging Face) * NLP tasks: embeddings, classification, similarity search * Prompt engineering experience Good to Have * RAG architecture experience * Model deployment on CPU/GPU * Docker and cloud basics * On-prem AI deployment experience * LLM fine-tuning knowledge Soft Skills * Problem-solving mindset * Good communication skills * Ability to learn new technologies quickly * Team collaboration skills ## Additional Information OUR CULTURAL BELIEFS: Patient Minded I act with the patient’s best interest in mind. Client Delight I own every client experience and its impact on results. Take Action I am empowered and empower others to act now. Grow Talent I own my development and invest in the development of others. Win Together I passionately connect with anyone, anywhere, anytime to achieve results. Communication Matters I speak up to create transparent, thoughtful and timely dialogue. Embrace Diversity I create an environment of awareness and respect. Always Innovate I am bold and creative in everything I do. Our team is aware of recent fraudulent job offers in the market, misrepresenting EVERSANA. Recruitment fraud is a sophisticated scam commonly perpetrated through online services using fake websites, unsolicited e-mails, or even text messages claiming to be a legitimate company. Some of these scams request personal information and even payment for training or job application fees. Please know EVERSANA would never require personal information nor payment of any kind during the employment process. We respect the personal rights of all candidates looking to explore careers at EVERSANA. From EVERSANA’s inception, Diversity, Equity & Inclusion have always been key to our success. We are an Equal Opportunity Employer, and our employees are people with different strengths, experiences, and backgrounds who share a passion for improving the lives of patients and leading innovation within the healthcare industry. Diversity not only includes race and gender identity, but also age, disability status, veteran status, sexual orientation, religion, and many other parts of one’s identity. All of our employees’ points of view are key to our success, and inclusion is everyone's responsibility. Follow us on [LinkedIn](https://www.linkedin.com/company/eversana/) | [Twitter](https://twitter.com/EVERSANAcompany)", "summaryDescription" : "Python Engineer (AI/ML) at EVERSANA. Skills: AI, Machine Learning, Python. Design and implement AI/ML models. Develop and deploy machine learning solutions", "postedDate" : "2026-06-15T14:39:56.000", "createdAt" : "2026-06-16T00:16:28.703", "lastUpdated" : "2026-06-16T10:15:09.669", "ingestTimestamp" : "2026-06-16T00:16:28.703", "mongoId" : "6a30623cf292fd229cf99656", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Algorithm design", "System design", "AI", "Machine Learning", "Python", "Artificial intelligence", "Machine learning", "Large language models", "Deep learning" ], "skillCount" : 9, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.98 }, { "id" : "6a3089caf292fd229c094d7d", "title" : "Python ML/AI Engineer", "company" : "DOTSOFT SA", "industry" : "Information Technology And Services", "salary" : { "min" : 38000.0, "max" : 55000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Mid-level Python ML/AI Engineer in the Technology industry in Pilea, Greece, adjusted for seniority and full-time employment." }, "location" : "Pilea, GR", "locations" : [ "Pilea", "GR" ], "timestamp" : "2026-06-16T11:35:00.625", "fingerprint" : "b46faa998ac8e53208bea2181d35324dfce027d92143157e84b9e2d5f20135a2", "source" : "smartrecruiters", "language" : "el", "applyUrl" : "https://jobs.smartrecruiters.com/DOTSOFTSA/744000132218589-python-ml-ai-engineer", "externalId" : "744000132218589", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Pilea", "state" : "Thessaloniki", "country" : "Greece", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "40.5850904,23.0356579" } ], "locationText" : "Pilea, Thessaloniki, Greece", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "technicalSkills" : "Python, Machine Learning, Deep Learning, AI, Generative AI, Large Language Models, Retrieval-Augmented Generation, Vector databases, Embeddings, Semantic search, MLOps, Scikit-learn, Pandas, NumPy, PyTorch, TensorFlow, SQL, APIs, Docker, Cloud platforms, OpenAI, Anthropic, Llama, Mistral, LangChain, LlamaIndex, Qdrant, Weaviate, Pinecone, Pgvector", "professionalSkills" : [ "Data processing", "System design", "Technology strategy" ], "hardSkillsList" : [ "Machine Learning", "Deep Learning", "Data pipelines", "Model evaluation", "AI Services", "Generative AI", "Large Language Models", "Retrieval-Augmented Generation", "Vector databases", "Embeddings", "Semantic search", "MLOps", "Deployment", "Monitoring", "API development" ], "hardSkills" : [ { "name" : "Machine Learning", "level" : "intermediate" }, { "name" : "Deep Learning", "level" : "intermediate" }, { "name" : "Data pipelines", "level" : "intermediate" }, { "name" : "Model evaluation", "level" : "intermediate" }, { "name" : "AI Services", "level" : "intermediate" }, { "name" : "Generative AI", "level" : "intermediate" }, { "name" : "Large Language Models", "level" : "intermediate" }, { "name" : "Retrieval-Augmented Generation", "level" : "intermediate" }, { "name" : "Vector databases", "level" : "intermediate" }, { "name" : "Embeddings", "level" : "intermediate" }, { "name" : "Semantic search", "level" : "intermediate" }, { "name" : "MLOps", "level" : "intermediate" }, { "name" : "Deployment", "level" : "intermediate" }, { "name" : "Monitoring", "level" : "intermediate" }, { "name" : "API development", "level" : "intermediate" } ], "majorSkills" : "Machine Learning, AI, Python, Generative AI", "majorSkillsList" : [ "Machine Learning", "AI", "Python", "Generative AI" ], "coreResponsibilities" : "Develop ML models, Optimize ML models, Maintain ML models, Design data pipelines, Implement data pipelines, Develop AI services, Maintain AI services, Design Generative AI solutions, Develop Generative AI solutions, Integrate Generative AI solutions, Develop RAG applications, Utilize vector databases, Utilize embeddings, Utilize semantic search, Transition solutions to production, Monitor model performance, Optimize model performance, Deploy models, Monitor models, Ensure solution quality, Ensure solution reliability, Ensure solution scalability, Evaluate new technologies, Evaluate new tools, Evaluate new methodologies, Participate in technical design, Formulate technology strategy", "teamCollaboration" : "Data Science teams; Software Engineering teams; R&D teams", "domainKnowledge" : "Artificial Intelligence; Machine Learning; Data Analytics; Cloud Computing; Generative AI; Large Language Models; MLOps", "domainList" : [ "artificial-intelligence", "machine-learning", "data-analytics", "cloud-computing", "generative-ai", "large-language-models", "mlops" ], "domainSpecificKnowledge" : [ "Artificial Intelligence", "Machine Learning", "Data Analytics", "Cloud Computing", "Generative AI", "Large Language Models", "MLOps" ], "toolProficiency" : [ "Scikit-learn", "Pandas", "NumPy", "PyTorch", "TensorFlow", "Docker", "Qdrant", "Weaviate", "Pinecone", "Pgvector", "OpenAI", "Anthropic", "Llama", "Mistral", "LangChain", "LlamaIndex" ], "continuousLearning" : "Professional development; Continuous education", "innovationCreativity" : "Innovative digital solutions; Advanced AI solutions; Cutting-edge projects", "qualificationsBasic" : "3+ years experience ML/AI, Proficient in Python, Experience with Scikit-learn, Experience with Pandas, Experience with NumPy, Experience with PyTorch, Experience with TensorFlow, Experience ML model development, Experience ML model evaluation, Knowledge of SQL, Data management knowledge, Experience developing APIs, Ability to collaborate", "qualificationsPreferred" : "MSc in AI/ML, Experience with LLMs, Experience with LangChain, Experience with LlamaIndex, Experience with vector databases, Knowledge of MLOps tools, Knowledge of MLOps practices, Experience with Docker, Experience with cloud platforms, Participation in AI research projects, Participation in European AI projects", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Η DOTSOFT αναπτύσσει καινοτόμες ψηφιακές λύσεις αξιοποιώντας τεχνολογίες Τεχνητής Νοημοσύνης, Data Analytics και Cloud Computing. Στο πλαίσιο της συνεχούς ανάπτυξής της, αναζητά έναν Python ML/AI Engineer για την υλοποίηση προηγμένων λύσεων AI και Machine Learning σε έργα εθνικής και ευρωπαϊκής εμβέλειας. * Ανάπτυξη, βελτιστοποίηση και συντήρηση μοντέλων Machine Learning και Deep Learning για την κάλυψη επιχειρησιακών και ερευνητικών αναγκών. * Σχεδιασμός και υλοποίηση pipelines επεξεργασίας δεδομένων, εκπαίδευσης, αξιολόγησης και παραγωγικής λειτουργίας μοντέλων. * Ανάπτυξη και συντήρηση υπηρεσιών Τεχνητής Νοημοσύνης (AI Services) με χρήση Python και σύγχρονων frameworks. * Σχεδιασμός, ανάπτυξη και ενσωμάτωση λύσεων Generative AI και Large Language Models (LLMs) σε παραγωγικά πληροφοριακά συστήματα. * Ανάπτυξη εφαρμογών Retrieval-Augmented Generation (RAG) με αξιοποίηση vector databases, embeddings και τεχνικών semantic search. * Συνεργασία με ομάδες Data Science, Software Engineering και Έρευνας & Ανάπτυξης για τη μετάβαση λύσεων από στάδιο proof-of-concept σε παραγωγική λειτουργία. * Παρακολούθηση, αξιολόγηση και βελτιστοποίηση της απόδοσης μοντέλων μέσω διαδικασιών MLOps, deployment και monitoring. * Διασφάλιση της ποιότητας, αξιοπιστίας και επεκτασιμότητας των λύσεων Τεχνητής Νοημοσύνης. * Αξιολόγηση νέων τεχνολογιών, εργαλείων και μεθοδολογιών στον τομέα της Τεχνητής Νοημοσύνης και της Μηχανικής Μάθησης. * Συμμετοχή στον τεχνικό σχεδιασμό λύσεων και στη διαμόρφωση της τεχνολογικής στρατηγικής της ομάδας και της εταιρείας. ## Qualifications Προσόντα * Πτυχίο ΑΕΙ/ΤΕΙ στην Πληροφορική, Μηχανική Υπολογιστών, Data Science ή συναφή τομέα. * MSc σε Artificial Intelligence, Machine Learning ή σχετικό αντικείμενο θα θεωρηθεί επιπλέον προσόν. * 3+ χρόνια εμπειρίας σε ανάπτυξη λύσεων Machine Learning ή AI. * Πολύ καλή γνώση Python. * Εμπειρία με βιβλιοθήκες όπως Scikit-learn, Pandas, NumPy και PyTorch ή TensorFlow. * Εμπειρία στην ανάπτυξη και αξιολόγηση ML μοντέλων. * Γνώση SQL και διαχείρισης δεδομένων. * Εμπειρία στην ανάπτυξη APIs για AI υπηρεσίες. * Ικανότητα συνεργασίας σε διεπιστημονικές ομάδες. Επιθυμητά προσόντα * Εμπειρία με LLMs (OpenAI, Anthropic, Llama, Mistral κ.ά.). * Γνώση LangChain, LlamaIndex ή παρόμοιων frameworks. * Εμπειρία με vector databases (Qdrant, Weaviate, Pinecone, pgvector). * Γνώση MLOps εργαλείων και πρακτικών. * Εμπειρία με Docker και cloud πλατφόρμες. * Συμμετοχή σε ερευνητικά ή ευρωπαϊκά έργα AI. ## Additional Information Προσφέρεται * Ανταγωνιστικό πακέτο αποδοχών * Εργασία σε φιλικό & δυναμικό περιβάλλον * Συνεχής εκπαίδευση & δυνατότητα επαγγελματικής ανάπτυξης * Συμμετοχή σε καινοτόμα και υψηλής τεχνολογίας projects", "summaryDescription" : "Python ML/AI Engineer at DOTSOFT SA. Skills: Machine Learning, AI, Python, Generative AI. Develop ML models. Optimize ML models", "postedDate" : "2026-06-15T14:30:06.000", "createdAt" : "2026-06-16T01:43:02.724", "lastUpdated" : "2026-06-16T11:35:00.625", "ingestTimestamp" : "2026-06-16T01:43:02.724", "mongoId" : "6a3089caf292fd229c094d7d", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "30k-50k", "hasSalary" : false, "allSkills" : [ "Machine Learning", "Deep Learning", "Data pipelines", "Model evaluation", "AI Services", "Generative AI", "Large Language Models", "Retrieval-Augmented Generation", "Vector databases", "Embeddings", "Semantic search", "MLOps", "Deployment", "Monitoring", "API development", "AI", "Python", "Data processing", "System design", "Technology strategy", "Artificial Intelligence", "Data Analytics", "Cloud Computing", "Scikit-learn", "Pandas", "NumPy", "PyTorch", "TensorFlow", "Docker", "Qdrant", "Weaviate", "Pinecone", "Pgvector", "OpenAI", "Anthropic", "Llama", "Mistral", "LangChain", "LlamaIndex" ], "skillCount" : 39, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a3074d9f292fd229c009d20", "title" : "Director, Data and AI Engineering", "company" : "Benevity", "industry" : "Technology", "salary" : { "min" : 175000.0, "max" : 250000.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline data for Director, Data and AI Engineering in Calgary, Canada, adjusted for SaaS industry and company size." }, "location" : "Calgary, Alberta", "locations" : [ "Calgary, Alberta", "Vancouver, British Columbia" ], "timestamp" : "2026-06-16T11:55:49.932", "fingerprint" : "48d6e9e7d6092e824c8f4e626ef408c40aef8877a09c5443b28ff1eaf3b039e9", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/benevity/863fc534-814d-4aed-a969-d52dd5e43dc2/application", "externalId" : "863fc534-814d-4aed-a969-d52dd5e43dc2", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Calgary", "state" : "Alberta", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "51.0456064,-114.0575410" } ], "locationText" : "Calgary, Alberta, Canada", "employmentType" : "FULL_TIME", "experienceLevel" : "Director", "remoteFriendly" : true, "rawDescription" : "MEET BENEVITY Benevity is the way the world does good, providing companies (and their employees) with technology to take social action on the issues they care about. Through giving, volunteering, grantmaking, employee resource groups and micro-actions, we help most of the Fortune 100 brands build better cultures and use their power for good. We’re also one of the first B Corporations in Canada, meaning we’re as committed to purpose as we are to profits. We have people working all over the world, including Canada, Spain, Switzerland, the United Kingdom, the United States and more! We are seeking a Director of Data and ML/AI Engineering to lead our data and AI technology strategy, architecture, and execution within our B2B SaaS Benevity Impact Platform. This role is pivotal in enabling data-driven decision-making, product intelligence, and AI-powered services and automation across our platform. The ideal candidate will have deep expertise in scalable data engineering, AI/ML systems and services, and cloud-based data architectures, with a track record of building highly available, real-time analytics, and ML/AI-driven solutions for SaaS platforms. This role will oversee data science, data modeling, business intelligence, governance, and ML/AI systems engineering, ensuring alignment with our client and business needs. What you’ll do: Leadership & Data Strategy - Define and execute the data and AI strategy for our SaaS platform, ensuring alignment with business objectives and customer needs. - Lead cross-functional teams across data engineering, AI/ML, BI, and governance to deliver scalable, high-impact solutions. - Establish data-as-a-product principles, ensuring data assets are secure, reusable, and monetizable within our platform. - Drive innovation in real-time analytics, AI-powered automation and intelligence for clients. - Partner with Product, Engineering, and Customer Success teams to enhance data-driven insights, reporting, and self-service analytics. Data Engineering & Platform Architecture - Design and oversee high-scale, cloud-native data architectures that support real-time streaming, data lakes / lakehouses, and enterprise warehousing. - Implement highly available, fault-tolerant data pipelines to process, store, and serve insights across the platform. - Lead data modeling initiatives to optimize data structures for analytics, ML training, and business reporting. - Work with engineering teams to embed AI-powered features into the SaaS platform, enabling smart automation, anomaly detection, and personalization. - Drive observability, monitoring, and cost optimization across our cloud-based data infrastructure. AI/ML Engineering & Data Science - Oversee the development of ML/AI models, ensuring they are scalable, explainable, and deployed effectively in production. - Implement MLOps best practices, including CI/CD for models, versioning, and real-time inference. - Lead initiatives in AI-powered recommendations, predictive analytics, NLP, and generative AI to enhance our product offerings. - Ensure bias-free, ethical AI practices and compliance with industry AI standards and regulations. Business Intelligence & Product Analytics - Build and manage BI tools, dashboards, and self-service analytics to provide real-time insights to clients and internal stakeholders. - Develop product analytics frameworks, tracking user behavior, adoption, and feature engagement. - Implement embedded analytics solutions that allow clients to gain actionable insights from their data. - Optimize reporting for SaaS metrics (MRR, ARR, churn, retention, LTV, NPS) and drive data-informed decision-making. Data Governance & Compliance - Own data governance frameworks, ensuring data privacy, security, and compliance (GDPR, SOC 2, PIPEDA, CCPA, etc.). - Define and implement data lineage, metadata management, and master data management (MDM) best practices. - Drive role-based access controls (RBAC, ABAC or ReBac) and ensure secure, auditable data sharing within our SaaS ecosystem. - Champion data democratization, enabling teams to access trusted, well-documented data. What you’ll bring: - 10+ years of experience in data engineering, AI/ML, or analytics leadership roles, ideally in B2B SaaS or cloud-based platforms - Strong expertise in scalable data architectures, ML/AI systems, and embedded analytics - Proven track record in leading high-performance teams, managing budgets, and delivering data-driven product innovations - Experience with multi-tenant SaaS data governance, compliance (SOC 2, GDPR, etc.), and customer-facing analytics - Familiarity with emerging AI trends, including LLMs, Generative AI, and responsible AI frameworks - Familiarity with SaaS product analytics and AI-powered automation use cases - Master’s or PhD in Computer Science, Data Science, AI/ML, or a related field is preferred Technical Skills & Expertise - Data & AI Stacks (Cloud-Native, SaaS-Optimized) - Data Engineering & Storage: BigQuery, Redshift, Delta Lake, Snowflake, Databricks - AI/ML Frameworks: Azure AI, TensorFlow, PyTorch, Hugging Face, MLflow, Vertex AI - MLOps & Pipelines: Kubeflow, SageMaker, Airflow, Feature Stores, DataRobot - BI & Analytics Tools: Looker, Power BI, Mode Analytics, Amplitude, Mixpanel - Data Governance & Security: Collibra, Informatica, Alation, Immuta - Cloud & DevOps: AWS (S3, Lambda, Kinesis), GCP (BigQuery, Pub/Sub), Kubernetes, Terraform - Programming: Python, SQL, Scala, Java - Streaming & Real-Time Data: Kafka, Flink, Apache Beam DISCOVER YOUR PURPOSE AT WORK We’re not employees, we’re Benevity-ites. From all locations, backgrounds and walks of life, who deserve more … Innovative work. Growth opportunities. Caring co-workers. And a chance to do work that fills us with a sense of purpose. If the idea of working on tech that helps people do good in the world lights you up ... If you want a career where you’re valued for who you are and challenged to see who you can become … It’s time to join Benevity. We’re so excited to meet you. WHERE WE WORK At Benevity, we embrace a flexible hybrid approach to where we work that empowers our people in a way that supports great work, strong relationships, and personal well-being. For those located near one of our offices, while there’s no set requirement for in-office time, we do value the moments when coming together in person helps us build connection and collaboration. Whether it’s for onboarding, project work, or a chance to align and bond as a team, we trust our people to make thoughtful decisions about when showing up in person matters most. JOIN A COMPANY WHERE DEIB ISN’T A BUZZWORD Diversity, equity, inclusion and belonging are part of Benevity’s DNA. You’ll see the impact of our massive investment in DEIB daily — from our well-supported employee resources groups to the exceptional diversity on our leadership and tech teams. We know that diverse backgrounds, experiences, skills and passions are what move our business and our people forward, so we're committed to creating a culture of belonging with equal opportunities for everyone to shine. That starts with a fair and accessible hiring process. If you want to feel seen, heard and celebrated, you belong at Benevity. Candidates with disabilities who may require accommodations throughout the hiring or assessment process are encouraged to reach out to accommodations@benevity.com.", "summaryDescription" : "Director, Data and AI Engineering at Benevity", "createdAt" : "2026-06-16T00:25:36.052", "lastUpdated" : "2026-06-16T11:55:49.932", "ingestTimestamp" : "2026-06-16T00:25:36.052", "mongoId" : "6a3074d9f292fd229c009d20", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "150k-200k", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Director", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "SaaS", "llmIndustryConfidence" : 0.98 }, { "id" : "6a305098f292fd229cef28ce", "title" : "Senior Product Manager, Agentic AI", "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" : "2026-06-16T12:57:27.994", "fingerprint" : "36cb7424778f6802c8309308e1300956eb6c080ae3c851ccf9e0dceec38bdf93", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/jerry.ai/ff81b4af-f414-45ab-882b-c7580023cb4e/application", "externalId" : "ff81b4af-f414-45ab-882b-c7580023cb4e", "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" : 4, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "LLMs, Agents, APIs, SQL", "professionalSkills" : [ "Product strategy", "Roadmap development", "User stories", "System architecture", "API design" ], "hardSkillsList" : [ "Prompt strategies", "Evaluation frameworks", "Guardrails" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Prompt strategies", "level" : "intermediate" }, { "name" : "Evaluation frameworks", "level" : "intermediate" }, { "name" : "Guardrails", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Agentic AI, LLM systems, Product management", "majorSkillsList" : [ "Agentic AI", "LLM systems", "Product management" ], "coreResponsibilities" : "Lead end-to-end development for AI platform, Develop customer experiences, Partner with engineers to 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 to evaluate models, Work with partners at OpenAI to deploy models", "teamCollaboration" : "Cross-functional collaboration; Partner with engineers; Work with partners at OpenAI", "projectManagementSkills" : [ "Roadmap development" ], "domainKnowledge" : "Car ownership; LLM systems; Voice models; Workflow automation", "domainList" : [ "car-ownership", "llm-systems", "voice-models", "workflow-automation" ], "domainSpecificKnowledge" : [ "Car ownership", "LLM systems", "Voice models", "Workflow automation" ], "communicationSkills" : "Technical translator", "innovationCreativity" : "Pioneer new model capabilities", "problemSolvingSkills" : "Optimistic problem-solver; Systems thinker", "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 products", "qualificationsPreferred" : "Experience at a fast-paced startup", "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 - building and scaling 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, Agentic AI at Jerry. ai. Skills: Agentic AI, LLM systems, Product management. Lead end-to-end development for AI platform. Develop customer experiences", "createdAt" : "2026-06-16T00:29:20.402", "lastUpdated" : "2026-06-16T12:57:27.994", "ingestTimestamp" : "2026-06-16T00:29:20.402", "mongoId" : "6a305098f292fd229cef28ce", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 160000, "salaryAnnualMax" : 200000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Prompt strategies", "Evaluation frameworks", "Guardrails", "Leadership", "Agentic AI", "LLM systems", "Product management", "Product strategy", "Roadmap development", "User stories", "System architecture", "API design", "Car ownership", "Voice models", "Workflow automation" ], "skillCount" : 15, "jobCategory" : "product", "jobSubcategory" : "product_management", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a305098f292fd229cef28d6", "title" : "Senior Product Manager, Agentic AI", "company" : "Jerry. ai", "industry" : "Product", "salary" : { "min" : 160000.0, "max" : 200000.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "Raleigh, North Carolina", "locations" : [ "Raleigh, North Carolina", "Miami, Florida", "Salt Lake City, Utah", "Reno, Nevada", "Portland, Oregon", "Phoenix, Arizona", "Houston, Texas" ], "timestamp" : "2026-06-16T10:48:49.829", "fingerprint" : "3a7264e7f648b31898ae187bba969c3b0fc58967dded850dfc2d516cf47294c3", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/jerry.ai/939ebd3e-f318-4114-af0a-4fc1c89ba7c0/application", "externalId" : "939ebd3e-f318-4114-af0a-4fc1c89ba7c0", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Raleigh", "state" : "North Carolina", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "35.7803977,-78.6390989" } ], "locationText" : "Raleigh, North Carolina, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 4, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "LLMs, Agents, APIs", "professionalSkills" : [ "Product strategy", "Roadmap development", "User stories", "Technical translation", "System architecture", "API design" ], "hardSkillsList" : [ "Prompt strategies", "Evaluation frameworks", "Guardrails", "Answer quality improvement", "Customer satisfaction improvement", "Automation rate improvement", "Model capabilities evaluation" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Prompt strategies", "level" : "intermediate" }, { "name" : "Evaluation frameworks", "level" : "intermediate" }, { "name" : "Guardrails", "level" : "intermediate" }, { "name" : "Answer quality improvement", "level" : "intermediate" }, { "name" : "Customer satisfaction improvement", "level" : "intermediate" }, { "name" : "Automation rate improvement", "level" : "intermediate" }, { "name" : "Model capabilities evaluation", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Agentic AI, LLM systems, Product management", "majorSkillsList" : [ "Agentic AI", "LLM systems", "Product management" ], "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 models, Work with partners at OpenAI to deploy models", "teamCollaboration" : "Cross-functional collaboration; Partner with engineers; Work with partners at OpenAI", "projectManagementSkills" : [ "Roadmap" ], "domainKnowledge" : "Car ownership industry; Agentic AI; LLM systems; Voice models; Workflow automation", "domainList" : [ "car-ownership-industry", "agentic-ai", "llm-systems", "voice-models", "workflow-automation" ], "domainSpecificKnowledge" : [ "Car ownership industry", "Agentic AI", "LLM systems", "Voice models", "Workflow automation" ], "toolProficiency" : [ "SQL" ], "communicationSkills" : "Technical translation", "innovationCreativity" : "Pioneer new model capabilities", "problemSolvingSkills" : "Systems thinker; Optimistic problem-solver; Data-driven; Validate hypotheses", "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 at a fast-paced startup", "remoteFriendly" : false, "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, Agentic AI at Jerry. ai. Skills: Agentic AI, LLM systems, Product management. Lead end-to-end development for AI platform. Lead end-to-end development for customer experiences", "createdAt" : "2026-06-16T00:27:57.533", "lastUpdated" : "2026-06-16T10:48:49.829", "ingestTimestamp" : "2026-06-16T00:27:57.533", "mongoId" : "6a305098f292fd229cef28d6", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 160000, "salaryAnnualMax" : 200000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Prompt strategies", "Evaluation frameworks", "Guardrails", "Answer quality improvement", "Customer satisfaction improvement", "Automation rate improvement", "Model capabilities evaluation", "Leadership", "Agentic AI", "LLM systems", "Product management", "Product strategy", "Roadmap development", "User stories", "Technical translation", "System architecture", "API design", "Roadmap", "Car ownership industry", "Voice models", "Workflow automation", "SQL" ], "skillCount" : 22, "jobCategory" : "product", "jobSubcategory" : "product_management", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a305930f292fd229cf45a0f", "title" : "Senior Product Manager, Agentic AI", "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" : "2026-06-16T10:33:16.494", "fingerprint" : "ba603d1a8bdfaedbece676e51af18cc9ae0b50efd1b232b4e97cdbc5e0d10357", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/Jerry.ai/ff81b4af-f414-45ab-882b-c7580023cb4e/application", "externalId" : "ff81b4af-f414-45ab-882b-c7580023cb4e", "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" : 4, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "LLMs, Agents, APIs", "professionalSkills" : [ "Product strategy", "Roadmap development", "User stories", "Prompt strategies", "Evaluation frameworks", "Platform standards", "System architecture", "Technical translation" ], "hardSkillsList" : [ "SQL" ], "hardSkills" : [ { "name" : "SQL", "level" : "intermediate" } ], "majorSkills" : "Agentic AI, LLM systems, Product management", "majorSkillsList" : [ "Agentic AI", "LLM systems", "Product management" ], "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 models, Work with partners at OpenAI to deploy models, 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", "projectManagementSkills" : [ "Roadmap" ], "domainKnowledge" : "Car ownership; Car insurance; Car financing; Car maintenance; Car safety; Voice models; Workflow automation", "domainList" : [ "car-ownership", "car-insurance", "car-financing", "car-maintenance", "car-safety", "voice-models", "workflow-automation" ], "domainSpecificKnowledge" : [ "Car ownership", "Car insurance", "Car financing", "Car maintenance", "Car safety", "Voice models", "Workflow automation" ], "innovationCreativity" : "Pioneer new model capabilities", "problemSolvingSkills" : "Optimistic problem-solver; Data-driven decision making", "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 products", "qualificationsPreferred" : "Experience at a fast-paced startup", "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 - building and scaling 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, Agentic AI at Jerry. ai. Skills: Agentic AI, LLM systems, Product management. Lead end-to-end development for AI platform. Lead end-to-end development for customer experiences", "createdAt" : "2026-06-16T00:25:58.516", "lastUpdated" : "2026-06-16T10:33:16.494", "ingestTimestamp" : "2026-06-16T00:25:58.516", "mongoId" : "6a305930f292fd229cf45a0f", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 160000, "salaryAnnualMax" : 200000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "SQL", "Agentic AI", "LLM systems", "Product management", "Product strategy", "Roadmap development", "User stories", "Prompt strategies", "Evaluation frameworks", "Platform standards", "System architecture", "Technical translation", "Roadmap", "Car ownership", "Car insurance", "Car financing", "Car maintenance", "Car safety", "Voice models", "Workflow automation" ], "skillCount" : 20, "jobCategory" : "product", "jobSubcategory" : "product_management", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a305930f292fd229cf45a15", "title" : "Senior Product Manager, Agentic AI", "company" : "Jerry. ai", "industry" : "Product", "salary" : { "min" : 160000.0, "max" : 200000.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "Raleigh, North Carolina", "locations" : [ "Raleigh, North Carolina", "Miami, Florida", "Salt Lake City, Utah", "Reno, Nevada", "Portland, Oregon", "Phoenix, Arizona", "Houston, Texas" ], "timestamp" : "2026-06-16T10:56:57.325", "fingerprint" : "c8a8dee79558e585a4fb3462dd86c464b798001b5dfedeae3261852f04b539ef", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/Jerry.ai/939ebd3e-f318-4114-af0a-4fc1c89ba7c0/application", "externalId" : "939ebd3e-f318-4114-af0a-4fc1c89ba7c0", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Raleigh", "state" : "North Carolina", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "35.7803977,-78.6390989" } ], "locationText" : "Raleigh, North Carolina, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 4, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "LLMs, Agents, APIs", "professionalSkills" : [ "Product strategy", "Roadmap development", "User stories", "Technical translation", "System architecture", "API design" ], "hardSkillsList" : [ "Prompt strategies", "Evaluation frameworks", "Guardrails design", "Answer quality improvement", "Customer satisfaction improvement", "Automation rate improvement", "Workflow automation" ], "hardSkills" : [ { "name" : "Prompt strategies", "level" : "intermediate" }, { "name" : "Evaluation frameworks", "level" : "intermediate" }, { "name" : "Guardrails design", "level" : "intermediate" }, { "name" : "Answer quality improvement", "level" : "intermediate" }, { "name" : "Customer satisfaction improvement", "level" : "intermediate" }, { "name" : "Automation rate improvement", "level" : "intermediate" }, { "name" : "Workflow automation", "level" : "intermediate" } ], "majorSkills" : "Agentic AI, LLM systems, Product management", "majorSkillsList" : [ "Agentic AI", "LLM systems", "Product management" ], "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 models, Work with partners at OpenAI to deploy models, 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", "projectManagementSkills" : [ "Roadmap" ], "domainKnowledge" : "Car ownership industry; LLM systems; Human-in-the-loop feedback; Computer-use agents; Voice models", "domainList" : [ "car-ownership-industry", "llm-systems", "human-in-the-loop-feedback", "computer-use-agents", "voice-models" ], "domainSpecificKnowledge" : [ "Car ownership industry", "LLM systems", "Human-in-the-loop feedback", "Computer-use agents", "Voice models" ], "innovationCreativity" : "Pioneer new model capabilities", "problemSolvingSkills" : "Systems thinker; Optimistic problem-solver; Data-driven analysis", "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", "remoteFriendly" : false, "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, Agentic AI at Jerry. ai. Skills: Agentic AI, LLM systems, Product management. Lead end-to-end development for AI platform. Lead end-to-end development for customer experiences", "createdAt" : "2026-06-16T00:25:03.494", "lastUpdated" : "2026-06-16T10:56:57.325", "ingestTimestamp" : "2026-06-16T00:25:03.494", "mongoId" : "6a305930f292fd229cf45a15", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 160000, "salaryAnnualMax" : 200000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Prompt strategies", "Evaluation frameworks", "Guardrails design", "Answer quality improvement", "Customer satisfaction improvement", "Automation rate improvement", "Workflow automation", "Agentic AI", "LLM systems", "Product management", "Product strategy", "Roadmap development", "User stories", "Technical translation", "System architecture", "API design", "Roadmap", "Car ownership industry", "Human-in-the-loop feedback", "Computer-use agents", "Voice models" ], "skillCount" : 21, "jobCategory" : "product", "jobSubcategory" : "product_management", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2cc19774d8ee00a0a045cc", "title" : "Lead Azure AI Architect", "company" : "Nordcloud", "industry" : "Consulting", "salary" : { "min" : 95000.0, "max" : 135000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Lead Azure AI Architect in Finland, adjusted for seniority, industry, and company size." }, "location" : "Finland", "locations" : [ "Finland" ], "timestamp" : "2026-06-15T21:49:50.188", "fingerprint" : "accd89b5209abfdb0813ad8ca6945db014ceaeea2993b7028db66d31d8fb8480", "source" : "breezyhr", "language" : "en", "applyUrl" : "https://nordcloud-career.breezy.hr/p/6bda5656f99001-lead-azure-ai-architect", "externalId" : "6bda5656f99001", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Finland", "continent" : "eu", "workMode" : "onsite" } ], "locationText" : "Finland", "employmentType" : "FULL_TIME", "experienceMinYears" : 8, "experienceMaxYears" : 15, "experienceLevel" : "Lead", "remoteFriendly" : true, "rawDescription" : "Let", "summaryDescription" : "Lead Azure AI Architect at Nordcloud", "createdAt" : "2026-06-14T20:36:33.742", "lastUpdated" : "2026-06-15T21:49:50.188", "ingestTimestamp" : "2026-06-14T20:36:33.742", "mongoId" : "6a2cc19774d8ee00a0a045cc", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Lead", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "68ed10ac70f0b99d58e7bada", "title" : "Agentic AI Teacher", "company" : "Amazon.com Services LLC", "industry" : "Database Administration, Machine Learning Data Operatio, Artificial Intelligence", "salary" : { "min" : 40400.0, "max" : 86500.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Boston, Massachusetts, USA", "locations" : [ "Boston, Massachusetts, USA" ], "timestamp" : "2026-06-15T07:17:20.574", "fingerprint" : "6b0bf1cfc85796b0e1f6b44e62b56e6fd071808a25b3ed1354c42009b90f5386", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3105047/apply", "externalId" : "ac563f41-8fb2-4e16-a8e1-3ba6fcb0688b", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Boston", "state" : "Massachusetts", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "42.3588336,-71.0578303" } ], "locationText" : "Boston, Massachusetts, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "technicalSkills" : "Python, SQL", "professionalSkills" : [ "Data processing", "Technical documentation", "Problem solving", "Decision making" ], "hardSkillsList" : [ "Data annotation", "Text generation", "Data processing automation", "Workflow optimization" ], "hardSkills" : [ { "name" : "Data annotation", "level" : "intermediate" }, { "name" : "Text generation", "level" : "intermediate" }, { "name" : "Data processing automation", "level" : "intermediate" }, { "name" : "Workflow optimization", "level" : "intermediate" } ], "majorSkills" : "Generative AI, LLM, Data annotation", "majorSkillsList" : [ "Generative AI", "LLM", "Data annotation" ], "coreResponsibilities" : "Create training data, Annotate training data, Write texts in different styles, Automate data processing workflows, Optimize data processing workflows, Interpret technical documentation, Implement solutions, Identify tooling bugs, Report tooling bugs, Suggest tooling improvements, Make sound judgments, Make logical decisions", "teamCollaboration" : "Work with other employees; Work with supervisors; Communicate with employees; Communicate with supervisors; Communicate with staff", "domainKnowledge" : "Generative AI; Large Language Models", "domainList" : [ "generative-ai", "large-language-models" ], "domainSpecificKnowledge" : [ "Generative AI", "Large Language Models" ], "communicationSkills" : "Grammatically correct texts; Effective communication", "documentationSkills" : "Technical documentation implementation", "innovationCreativity" : "Innovative candidates; Technological advancement", "problemSolvingSkills" : "Solve complex problems; Dive deep into issues; Implement solutions independently; Logical decisions", "specialRequirements" : "Work safely, Adhere to standards, Adhere to laws, Adhere to policies, Exercise sound judgment, Manage stress, Work respectfully, Exhibit trustworthiness, Exhibit professionalism, Safeguard business operations, Safeguard company reputation", "qualificationsBasic" : "Bachelor's degree or equivalent experience, Advanced English proficiency, Experience with written language data, Familiarity with Python, Familiarity with scripting language, Familiarity with data structures", "qualificationsPreferred" : "Adapt to fast-paced environments, Manage stakeholder relationships, Advanced proficiency in multiple languages", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Amazon is investing in generative AI and the responsible development and deployment of Large Language Models (LLMs) across all of our businesses. As part of the Data Team, you will deliver high-quality training data to improve and expand our proprietary LLM capabilities. We seek innovative candidates who can solve complex problems and drive technological advancement in AI. Your work will directly impact how Amazon's customers interact with our AI systems across multiple business lines. Key job responsibilities - Create and annotate high-quality complex training data in multiple modalities (text, image, video) on various topics, including technical or science-related content - Write grammatically correct texts in different styles with various degrees of creativity, strictly adhering to provided guidelines - Utilize Python and SQL to automate and optimize data processing workflows - Interpret technical documentation to implement solutions accurately - Dive deep into issues and implement solutions independently - Identify and report tooling bugs and suggest improvements - Make sound judgments and logical decisions when faced with ambiguous or incomplete information About the team Amazon strives to be the world’s most customer-centric company, where customers can research and purchase anything they might want online or offline. We set big goals and are looking for people who can help us reach and exceed them. The AGI organization provides AI capabilities for a variety of Amazon products and searches. We provide secure, flexible, cost effective, and high-quality data development services to our customers, that enables them to build advanced ML models. Basic Qualifications: - - Bachelor’s degree in a relevant field or equivalent professional experience. - - Advanced English-level language proficiency (C1+ or equivalent fluency by Common European Framework of Reference for Languages (CEFR) standards). - - Proven experience working with written language data, including experience with annotation, and other forms of data markup. - - Familiarity with critical concepts such as Python, scripting language, data structures etc. Preferred Qualifications: - - Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy. - - Experience managing stakeholder relationships across departments. - - Advanced-level proficiency in multiple languages (C1+ or equivalent fluency by Common European Framework of Reference for Languages (CEFR) standards). Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 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 $40,400/year in our lowest geographic market up to $86,500/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" : "Agentic AI Teacher at Amazon.com Services LLC. Skills: Generative AI, LLM, Data annotation. Create training data. Annotate training data", "postedDate" : "2026-06-13T19:36:33.277", "createdAt" : "2026-06-13T19:36:33.277", "lastUpdated" : "2026-06-15T07:17:20.574", "ingestTimestamp" : "2026-06-13T19:36:33.277", "mongoId" : "68ed10ac70f0b99d58e7bada", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3105047/apply", "salaryAnnualMin" : 40400, "salaryAnnualMax" : 86500, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Data annotation", "Text generation", "Data processing automation", "Workflow optimization", "Generative AI", "LLM", "Data processing", "Technical documentation", "Problem solving", "Decision making", "Large Language Models" ], "skillCount" : 11, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c6a9174d8ee00a090ca86", "title" : "AI Developer", "company" : "Atlas Energy Solutions", "industry" : "Logistics", "salary" : { "min" : 75000.0, "max" : 95000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an Entry-level AI Developer in Austin, TX, adjusted for the energy industry and company size." }, "location" : "Austin, Texas, United States", "locations" : [ "Austin", "Texas", "United States" ], "timestamp" : "2026-06-15T10:34:56.304", "fingerprint" : "887d80ddb873bee6ffc760e4dd8cac85c74745cffb9fceb88097b1a0cbd5cb19", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/atlassand/jobs/8589983002", "externalId" : "8589983002", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Austin", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "30.2711286,-97.7436995" } ], "locationText" : "Austin, Texas, United States", "minimumEducation" : "Bachelor's", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "domainKnowledge" : "AI/ML/LLM concepts; Prompting; Embeddings; Retrieval; Cloud platforms; DevOps practices", "domainList" : [ "ai-ml-llm-concepts", "prompting", "embeddings", "retrieval", "cloud-platforms", "devops-practices" ], "domainSpecificKnowledge" : [ "AI/ML/LLM concepts", "Prompting", "Embeddings", "Retrieval", "Cloud platforms", "DevOps practices" ], "problemSolvingSkills" : "Troubleshoot issues", "specialRequirements" : "Eligible to work in U.S", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Who We Are: Atlas Energy Solutions Inc. (NYSE: AESI) is a leading solutions provider to the energy industry. Atlas’ portfolio of offerings includes oilfield logistics, distributed power systems, and the largest proppant supply network in the Permian Basin. With a focus on leveraging technology, automation, and remote operations to enhance efficiencies, Atlas is centered around a core mission of improving human beings’ access to hydrocarbons that power our lives and, by doing so, maximizing value creation for our shareholders. How You Will Make an Impact: The AI Developer is a technical, entry-level role within the Atlas Technology team that builds and maintains AI solutions across the business. Responsibilities AI-powered features and applications such as conversational interfaces, workflow automations, MCP servers, and computer vision. Connect AI solutions with Atlas internal systems, Microsoft Graph, Azure services, third-party APIs, and operational data sources. Implement testing strategies for AI behavior including prompt evaluation, regression testing, output validation, and model performance. Apply authentication patterns, data protection controls, and audit logging. Ensure responsible and compliant AI usage by reinforcing approved tools, data handling, and governance guardrails; coordinate privacy/security reviews and escalate risks and exceptions as needed. Monitor deployed solutions for performance, reliability, and cost. Respond to incidents, troubleshoot issues, and drive continuous improvement through analytics and user feedback. Minimum qualifications Bachelor’s degree (in disciplines relevant to business process improvement or technology adoption) or equivalent practical experience/training. Programming: Foundational proficiency in one general purpose programming language (e. g. Python or C#) and one front end framework (e. g. React/JavaScript) Comfort with REST APIs, JSON, DBs and basic data structures Foundations: Understanding of AI/ML/LLM concepts (prompting, embeddings, retrieval) through coursework, personal projects, or internship AI/ML/LLM concepts or project experience Eligible to work in the U. S. without future sponsorship. Demonstrated experience through relevant personal projects with publicly shareable artifacts (e.g., GitHub repositories, demos, technical write-ups, or case studies). Preferred qualifications Experience building LLM-powered applications and automations Exposure to cloud platforms and DevOps practices (Azure Functions, CI/CD pipelines, Git/GitHub, containers). Familiarity with Microsoft tools such as Power Platform, Copilot Studio, Microsoft Foundry, Graph APIs and collaboration platforms (e.g., Teams and SharePoint) Completion of relevant AI-focused certifications and/or accredited boot camps. What You Will Love About Us Best People and Team. Great Place to Work , Hire Vets, Top Place to Work For – Austin American Statesman Your Well-Being is a Priority. 100% covered Medical, Dental, and Vision Invest in Your Future. 401K with company match, immediate vesting Relax and Recharge. Paid time off (non-rotational roles), 15+ company paid holidays Equal Opportunity Employer Statement: Atlas Energy Solutions is an equal opportunity employer and is committed to providing equal employment opportunity to all applicants and employees. We do not discriminate on the basis of race, color, religion, sex, national origin, age, disability, pregnancy, gender identity or expression, sexual orientation, genetic information, citizenship status, veteran or military status, or any other characteristic protected by applicable federal, state, or local law. This commitment applies to all aspects of employment, including recruiting, hiring, training, promotion, compensation, benefits, and termination. Reasonable Accommodation Atlas Energy Solutions provides reasonable accommodations to qualified individuals with disabilities and those with pregnancy-related conditions in accordance with applicable law. Job Disclaimer This job description is not intended to be all-inclusive and may be modified at any time based on business needs.", "summaryDescription" : "AI Developer at Atlas Energy Solutions", "postedDate" : "2026-06-14T07:51:42.875", "createdAt" : "2026-06-14T07:51:42.875", "lastUpdated" : "2026-06-15T10:34:56.304", "ingestTimestamp" : "2026-06-14T07:51:42.875", "mongoId" : "6a2c6a9174d8ee00a090ca86", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 75000, "salaryAnnualMax" : 95000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "AI/ML/LLM concepts", "Prompting", "Embeddings", "Retrieval", "Cloud platforms", "DevOps practices" ], "skillCount" : 6, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Energy", "llmIndustryConfidence" : 0.95 }, { "id" : "68e6b1d970f0b99d58d66afb", "title" : "Agentic AI Teacher", "company" : "Amazon.com Services LLC", "industry" : "Database Administration, Machine Learning Data Operatio, Artificial Intelligence", "salary" : { "min" : 40400.0, "max" : 86500.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Boston, Massachusetts, USA", "locations" : [ "Boston, Massachusetts, USA" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-15T06:13:37.124", "fingerprint" : "fc9639a1dd4273e0cf557696645639cf347a98bc3a96dbbcef6da239283c15fc", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3103216/apply", "externalId" : "2cb58763-363a-413a-b343-2e0c4baf9e8e", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Boston", "state" : "Massachusetts", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "42.3588336,-71.0578303" } ], "locationText" : "Boston, Massachusetts, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "technicalSkills" : "SQL, Python, R, Spark, AWS, GCP, Azure, SageMaker, Vertex AI, ML Studio, Tableau, Power BI, Snowflake, BigQuery, Redshift, Databricks, Dbt, Fivetran, Airflow, Delta Lake, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow", "professionalSkills" : [ "Data modeling", "Statistical analysis", "Machine learning", "Business intelligence", "Analytics engineering", "Quantitative analysis" ], "hardSkillsList" : [ "Data science", "Data engineering", "Machine learning", "Business intelligence", "Analytics engineering", "Quantitative analysis", "Statistical methods", "ML frameworks", "BI platforms", "Cloud data stacks", "Modelling skills" ], "hardSkills" : [ { "name" : "Data science", "level" : "intermediate" }, { "name" : "Data engineering", "level" : "intermediate" }, { "name" : "Machine learning", "level" : "intermediate" }, { "name" : "Business intelligence", "level" : "intermediate" }, { "name" : "Analytics engineering", "level" : "intermediate" }, { "name" : "Quantitative analysis", "level" : "intermediate" }, { "name" : "Statistical methods", "level" : "intermediate" }, { "name" : "ML frameworks", "level" : "intermediate" }, { "name" : "BI platforms", "level" : "intermediate" }, { "name" : "Cloud data stacks", "level" : "intermediate" }, { "name" : "Modelling skills", "level" : "intermediate" } ], "majorSkills" : "Data science, Machine learning, Business intelligence, Data engineering", "majorSkillsList" : [ "Data science", "Machine learning", "Business intelligence", "Data engineering" ], "coreResponsibilities" : "Develop and deploy machine learning models, Build and maintain data pipelines, Create and manage business intelligence dashboards, Perform statistical analysis and modeling, Collaborate with stakeholders to understand data needs, Ensure data quality and integrity, Stay up-to-date with industry trends", "teamCollaboration" : "Cross-functional teams; Stakeholders", "domainKnowledge" : "Cloud data services; ML frameworks; BI platforms; Cloud data stacks", "domainList" : [ "cloud-data-services", "ml-frameworks", "bi-platforms", "cloud-data-stacks" ], "domainSpecificKnowledge" : [ "Cloud data services", "ML frameworks", "BI platforms", "Cloud data stacks" ], "toolProficiency" : [ "Tableau", "Power BI", "Snowflake", "BigQuery", "Redshift", "Databricks", "Dbt", "Fivetran", "Airflow", "Dbt Cloud", "Delta Lake", "Scikit-learn", "TensorFlow", "PyTorch", "XGBoost", "LightGBM", "Hugging Face", "MLflow", "AWS", "GCP", "Azure" ], "qualificationsBasic" : "5+ years of experience in data science, Proficiency in SQL, Experience with Python or R, Experience with data visualization tools, Experience with cloud platforms", "qualificationsPreferred" : "Master's degree or PhD, Experience with machine learning frameworks, Experience with large-scale data processing systems, Experience with AWS, GCP, or Azure", "remoteFriendly" : false, "workSiteFlexibility" : "onsite", "rawDescription" : "Amazon is investing in generative AI and the responsible development and deployment of Large Language Models (LLMs) across all of our businesses. As part of the Data Team, you will deliver high-quality training data to improve and expand our proprietary LLM capabilities. We seek innovative candidates who can solve complex problems and drive technological advancement in AI. Your work will directly impact how Amazon's customers interact with our AI systems across multiple business lines. Key job responsibilities - Create and annotate high-quality complex training data in multiple modalities (text, image, video) on various topics, including technical or science-related content - Write grammatically correct texts in different styles with various degrees of creativity, strictly adhering to provided guidelines - Utilize Python and SQL to automate and optimize data processing workflows - Interpret technical documentation to implement solutions accurately - Dive deep into issues and implement solutions independently - Identify and report tooling bugs and suggest improvements - Make sound judgments and logical decisions when faced with ambiguous or incomplete information About the team Amazon strives to be the world’s most customer-centric company, where customers can research and purchase anything they might want online or offline. We set big goals and are looking for people who can help us reach and exceed them. The AGI organization provides AI capabilities for a variety of Amazon products and searches. We provide secure, flexible, cost effective, and high-quality data development services to our customers, that enables them to build advanced ML models. Basic Qualifications: - Bachelor’s degree in a relevant field or equivalent professional experience - Advanced English-level language proficiency (C1+ or equivalent fluency by Common European Framework of Reference for Languages (CEFR) standards) - Proven experience working with written language data, including experience with annotation, and other forms of data markup - Familiarity with critical concepts such as Python, scripting language, data structures etc Preferred Qualifications: - Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy - Experience managing stakeholder relationships across departments - Advanced-level proficiency in multiple languages (C1+ or equivalent fluency by Common European Framework of Reference for Languages (CEFR) standards) Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 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 $40,400/year in our lowest geographic market up to $86,500/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" : "Agentic AI Teacher at Amazon.com Services LLC. Skills: Data science, Machine learning, Business intelligence, Data engineering. Develop and deploy machine learning models. Build and maintain data pipelines", "postedDate" : "2026-06-13T19:14:38.999", "createdAt" : "2026-06-13T19:14:38.999", "lastUpdated" : "2026-06-15T06:13:37.124", "ingestTimestamp" : "2026-06-13T19:14:38.999", "mongoId" : "68e6b1d970f0b99d58d66afb", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3103216/apply", "salaryAnnualMin" : 40400, "salaryAnnualMax" : 86500, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Data science", "Data engineering", "Machine learning", "Business intelligence", "Analytics engineering", "Quantitative analysis", "Statistical methods", "ML frameworks", "BI platforms", "Cloud data stacks", "Modelling skills", "Data modeling", "Statistical analysis", "Cloud data services", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "Tableau", "Power BI", "Snowflake", "BigQuery", "Redshift", "Databricks", "Dbt", "Fivetran", "Airflow", "Dbt Cloud", "Delta Lake", "Scikit-learn", "TensorFlow", "PyTorch", "XGBoost", "LightGBM", "Hugging Face", "MLflow", "AWS", "GCP", "Azure" ], "skillCount" : 39, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "693c2b8770f0b99d5843fb3f", "title" : "Agentic AI Teacher", "company" : "Evi Technologies Limited", "industry" : "Database Administration, Machine Learning Data Operatio, Artificial Intelligence", "salary" : { "min" : 65000.0, "max" : 95000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Agentic AI Teacher in London, United Kingdom, adjusted for the technology industry." }, "location" : "London, England, GBR", "locations" : [ "London, England, GBR" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-15T03:40:18.291", "fingerprint" : "6e2c3d136dc3e09bb7e1f469e77503892976f83a7ddc7a26c89827570bba6bfc", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3137325/apply", "externalId" : "5648f875-a747-4548-a930-147109c64061", "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" : "SQL, Python, R, Scala, Spark, Dbt, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, Dbt Cloud, Delta Lake, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, S3, Glue, SageMaker, Athena, GCP, Vertex AI, Azure, Synapse, ML Studio", "professionalSkills" : [ "Data engineering", "Machine learning", "Business intelligence", "Analytics engineering", "Quantitative analysis", "Statistical modeling" ], "hardSkillsList" : [ "Statistical methods", "ML frameworks", "BI platforms", "Cloud data stacks", "Modelling skills", "Regression", "Classification", "Clustering", "Time-series analysis", "A/B testing", "Causal inference" ], "hardSkills" : [ { "name" : "Statistical methods", "level" : "intermediate" }, { "name" : "ML frameworks", "level" : "intermediate" }, { "name" : "BI platforms", "level" : "intermediate" }, { "name" : "Cloud data stacks", "level" : "intermediate" }, { "name" : "Modelling skills", "level" : "intermediate" }, { "name" : "Regression", "level" : "intermediate" }, { "name" : "Classification", "level" : "intermediate" }, { "name" : "Clustering", "level" : "intermediate" }, { "name" : "Time-series analysis", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" } ], "majorSkills" : "Data science, Data engineering, Machine learning, Business intelligence", "majorSkillsList" : [ "Data science", "Data engineering", "Machine learning", "Business intelligence" ], "coreResponsibilities" : "Develop and deploy machine learning models, Build and maintain data pipelines, Design and implement data warehousing solutions, Create and manage BI dashboards and reports, Perform data analysis and generate insights, Collaborate with cross-functional teams, Stay updated on emerging technologies", "teamCollaboration" : "Cross-functional teams", "toolProficiency" : [ "Tableau", "Power BI", "Looker", "Metabase", "Superset", "Qlik", "MicroStrategy" ], "qualificationsBasic" : "5+ years experience, Bachelor's degree, SQL proficiency", "qualificationsPreferred" : "PhD preferred, GCP Professional Data Engineer certification, AWS Data Analytics certification, Databricks Certified, Dbt Certified", "remoteFriendly" : false, "workSiteFlexibility" : "Flexible", "rawDescription" : "Amazon is investing in generative AI and the responsible development and deployment of Large Language Models (LLMs) across all of our businesses. As part of the Data Team, you will deliver high-quality training data to improve and expand our proprietary LLM capabilities. We seek innovative candidates who can solve complex problems and drive technological advancement in AI. Your work will directly impact how Amazon's customers interact with our AI systems across multiple business lines. Key job responsibilities - Create and annotate high-quality complex training data in multiple modalities (text, image, video) on various topics, including technical or science-related content - Write grammatically correct texts in different styles with various degrees of creativity, strictly adhering to provided guidelines - Utilize Python and SQL to automate and optimize data processing workflows - Interpret technical documentation to implement solutions accurately - Dive deep into issues and implement solutions independently - Identify and report tooling bugs and suggest improvements - Make sound judgments and logical decisions when faced with ambiguous or incomplete information About the team Amazon strives to be the world’s most customer-centric company, where customers can research and purchase anything they might want online or offline. We set big goals and are looking for people who can help us reach and exceed them. The AGI organization provides AI capabilities for a variety of Amazon products and searches. We provide secure, flexible, cost effective, and high-quality data development services to our customers, that enables them to build advanced ML models. Basic Qualifications: - Advanced-level proficiency in English language (C1+ or equivalent fluency by Common European Framework of Reference for Languages (CEFR) standards). - Proven experience working with written language data, including experience with annotation, and other forms of data markup. Preferred Qualifications: - Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy. - Experience managing stakeholder relationships across departments. - Advanced-level proficiency in multiple languages (C1+ or equivalent fluency by Common European Framework of Reference for Languages (CEFR) standards). - Familiarity with critical concepts such as Python, scripting language, data structures etc. Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( https://www.amazon.jobs/en/privacy_page ) to know more about how we collect, use and transfer the personal data of our candidates. 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.", "summaryDescription" : "Agentic AI Teacher at Evi Technologies Limited. Skills: Data science, Data engineering, Machine learning, Business intelligence. Develop and deploy machine learning models. Build and maintain data pipelines", "postedDate" : "2026-06-13T17:57:34.972", "createdAt" : "2026-06-13T17:57:34.972", "lastUpdated" : "2026-06-15T03:40:18.291", "ingestTimestamp" : "2026-06-13T17:57:34.972", "mongoId" : "693c2b8770f0b99d5843fb3f", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3137325/apply", "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "Statistical methods", "ML frameworks", "BI platforms", "Cloud data stacks", "Modelling skills", "Regression", "Classification", "Clustering", "Time-series analysis", "A/B testing", "Causal inference", "Data science", "Data engineering", "Machine learning", "Business intelligence", "Analytics engineering", "Quantitative analysis", "Statistical modeling", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "Tableau", "Power BI", "Looker", "Metabase", "Superset", "Qlik", "MicroStrategy" ], "skillCount" : 29, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "68ed10a970f0b99d58e7b8c1", "title" : "Agentic AI Teacher", "company" : "Amazon.com Services LLC", "industry" : "Database Administration, Machine Learning Data Operatio, Artificial Intelligence", "salary" : { "min" : 40400.0, "max" : 86500.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Boston, Massachusetts, USA", "locations" : [ "Boston, Massachusetts, USA" ], "timestamp" : "2026-06-15T07:26:45.157", "fingerprint" : "75c9e3cd326872c33796115ce44fb79ae24f9fd87bf6640ea3e258f1bf85033a", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3105412/apply", "externalId" : "5c510b7b-43ed-4cd7-a0e8-056f1e00b6cd", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Boston", "state" : "Massachusetts", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "42.3588336,-71.0578303" } ], "locationText" : "Boston, Massachusetts, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "technicalSkills" : "Python, SQL", "professionalSkills" : [ "Data processing", "Technical documentation" ], "hardSkillsList" : [ "Data annotation", "Text generation", "Data processing automation", "Problem solving" ], "softSkillsList" : [ "Innovation", "Judgment" ], "hardSkills" : [ { "name" : "Data annotation", "level" : "intermediate" }, { "name" : "Text generation", "level" : "intermediate" }, { "name" : "Data processing automation", "level" : "intermediate" }, { "name" : "Problem solving", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Innovation" }, { "name" : "Judgment" } ], "majorSkills" : "Generative AI, LLM, Data annotation", "majorSkillsList" : [ "Generative AI", "LLM", "Data annotation" ], "coreResponsibilities" : "Create training data, Annotate training data, Write texts in different styles, Automate data processing workflows, Optimize data processing workflows, Interpret technical documentation, Implement solutions, Dive deep into issues, Implement solutions independently, Identify tooling bugs, Report tooling bugs, Suggest tooling improvements, Make sound judgments, Make logical decisions", "domainKnowledge" : "Generative AI; Large Language Models", "domainList" : [ "generative-ai", "large-language-models" ], "domainSpecificKnowledge" : [ "Generative AI", "Large Language Models" ], "documentationSkills" : "Technical documentation", "innovationCreativity" : "Innovative candidates", "problemSolvingSkills" : "Solve complex problems; Implement solutions independently; Make sound judgments; Make logical decisions", "qualificationsBasic" : "Bachelor's degree or equivalent experience, Advanced English proficiency, Experience with written language data, Experience with data annotation, Familiarity with Python, Familiarity with scripting language, Familiarity with data structures", "qualificationsPreferred" : "Adaptability to fast-paced environments, Experience managing stakeholder relationships, Advanced proficiency in multiple languages", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Amazon is investing in generative AI and the responsible development and deployment of Large Language Models (LLMs) across all of our businesses. As part of the Data Team, you will deliver high-quality training data to improve and expand our proprietary LLM capabilities. We seek innovative candidates who can solve complex problems and drive technological advancement in AI. Your work will directly impact how Amazon's customers interact with our AI systems across multiple business lines. Key job responsibilities - Create and annotate high-quality complex training data in multiple modalities (text, image, video) on various topics, including technical or science-related content - Write grammatically correct texts in different styles with various degrees of creativity, strictly adhering to provided guidelines - Utilize Python and SQL to automate and optimize data processing workflows - Interpret technical documentation to implement solutions accurately - Dive deep into issues and implement solutions independently - Identify and report tooling bugs and suggest improvements - Make sound judgments and logical decisions when faced with ambiguous or incomplete information About the team Amazon strives to be the world’s most customer-centric company, where customers can research and purchase anything they might want online or offline. We set big goals and are looking for people who can help us reach and exceed them. The AGI organization provides AI capabilities for a variety of Amazon products and searches. We provide secure, flexible, cost effective, and high-quality data development services to our customers, that enables them to build advanced ML models. Basic Qualifications: - Bachelor’s degree in a relevant field or equivalent professional experience. - Advanced English-level language proficiency (C1+ or equivalent fluency by Common European Framework of Reference for Languages (CEFR) standards). - Proven experience working with written language data, including experience with annotation, and other forms of data markup. - Familiarity with critical concepts such as Python, scripting language, data structures etc. Preferred Qualifications: - Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy. - Experience managing stakeholder relationships across departments. - Advanced-level proficiency in multiple languages (C1+ or equivalent fluency by Common European Framework of Reference for Languages (CEFR) standards). 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 $40,400/year in our lowest geographic market up to $86,500/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" : "Agentic AI Teacher at Amazon.com Services LLC. Skills: Generative AI, LLM, Data annotation. Create training data. Annotate training data", "postedDate" : "2026-06-13T15:42:50.655", "createdAt" : "2026-06-13T15:42:50.655", "lastUpdated" : "2026-06-15T07:26:45.157", "ingestTimestamp" : "2026-06-13T15:42:50.655", "mongoId" : "68ed10a970f0b99d58e7b8c1", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3105412/apply", "salaryAnnualMin" : 40400, "salaryAnnualMax" : 86500, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Data annotation", "Text generation", "Data processing automation", "Problem solving", "Innovation", "Judgment", "Generative AI", "LLM", "Data processing", "Technical documentation", "Large Language Models" ], "skillCount" : 11, "jobCategory" : "data", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a210e8a74d8ee00a0af81d2", "title" : "Product Strategy and Operations Lead, AI and Infrastructure", "industry" : "Technology", "salary" : { "min" : 220000.0, "max" : 330000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Lead Product Strategy and Operations role in the Technology industry in Sunnyvale, United States, adjusted for seniority and company size." }, "location" : "[Sunnyvale, CA, USA, [111 W Java Dr, Sunnyvale, CA 94089, USA], Sunnyvale, 94089, CA, US]", "locations" : [ "[Sunnyvale, CA, USA, [111 W Java Dr, Sunnyvale, CA 94089, USA], Sunnyvale, 94089, CA, US]", "[Seattle, WA, USA, [Seattle, WA, USA], Seattle, null, WA, US]" ], "timestamp" : "2026-06-16T10:09:07.098", "fingerprint" : "ae1637deb2953d9ef88f094378ccd2a9af4aeb0ac2b36a6092c90ba3f926cec8", "source" : "google", "language" : "en", "externalId" : "112719367937893062", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Sunnyvale", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.3688301,-122.0363490" } ], "locationText" : "Sunnyvale, California, United States", "experienceMinYears" : 8, "experienceMaxYears" : 15, "experienceLevel" : "Lead", "majorSkills" : "Product strategy, Roadmap development, User stories, Cross-functional collaboration", "majorSkillsList" : [ "Product strategy", "Roadmap development", "User stories", "Cross-functional collaboration" ], "coreResponsibilities" : "Develop product strategy, Define product roadmap, Write user stories, Collaborate with cross-functional teams", "teamCollaboration" : "Cross-functional teams", "domainKnowledge" : "AI; Infrastructure", "domainList" : [ "ai", "infrastructure" ], "domainSpecificKnowledge" : [ "AI", "Infrastructure" ], "qualificationsBasic" : "5+ years product management experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "summaryDescription" : "Product Strategy and Operations Lead, AI and Infrastructure. Skills: Product strategy, Roadmap development, User stories, Cross-functional collaboration. Develop product strategy. Define product roadmap", "postedDate" : "2026-06-16T01:48:19.204", "createdAt" : "2026-06-16T01:48:19.204", "lastUpdated" : "2026-06-16T10:09:07.098", "ingestTimestamp" : "2026-06-16T01:48:19.204", "mongoId" : "6a210e8a74d8ee00a0af81d2", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 220000, "salaryAnnualMax" : 330000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "Product strategy", "Roadmap development", "User stories", "Cross-functional collaboration", "AI", "Infrastructure" ], "skillCount" : 6, "jobCategory" : "product", "jobSubcategory" : "product_management", "seniorityLevel" : "Lead", "dataQualityScore" : 0.6666667, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2cb13c74d8ee00a09dc94d", "title" : "Product Owner, Agentic AI", "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", "Chicago, Illinois", "Toronto, Ontario", "New York, New York", "Boston, Massachusetts", "Los Angeles, California", "Atlanta, Georgia" ], "timestamp" : "2026-06-15T09:47:20.697", "fingerprint" : "10ecfde7b335c3747771cf12d77dc4957fb52d570069e6c540094c4e28ae98e4", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/Jerry.ai/7b5a6fbf-6f8b-414d-a212-49a5c516330c/application", "externalId" : "7b5a6fbf-6f8b-414d-a212-49a5c516330c", "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" : 4, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "LLMs, Agents, APIs, AI", "professionalSkills" : [ "Product strategy", "Roadmap development", "User stories", "Cross-functional collaboration", "Prompt strategies", "Evaluation frameworks", "System architecture", "AI best practices", "Platform standards", "Answer quality improvement", "Customer satisfaction improvement", "Automation rate improvement", "Experimentation", "Workflow automation" ], "hardSkillsList" : [ "SQL" ], "hardSkills" : [ { "name" : "SQL", "level" : "intermediate" } ], "majorSkills" : "Agentic AI, LLM systems, Product management", "majorSkillsList" : [ "Agentic AI", "LLM systems", "Product management" ], "coreResponsibilities" : "Lead end-to-end development, Shape modern LLM systems, Redefine an entire industry, Partner with engineers, Design prompt strategies, Design evaluation frameworks, Design guardrails, Serve as technical translator, Establish AI best practices, Establish platform standards, Drive systematic improvement, Evaluate next generation models, Deploy next generation models, Evaluate voice models, Deploy voice models, Evaluate workflow automation, Deploy workflow automation", "teamCollaboration" : "Cross-functional collaboration; Partner with engineers; Technical translator", "projectManagementSkills" : [ "Roadmap", "Product strategy" ], "domainKnowledge" : "Agentic AI; LLM systems; Car ownership industry", "domainList" : [ "agentic-ai", "llm-systems", "car-ownership-industry" ], "domainSpecificKnowledge" : [ "Agentic AI", "LLM systems", "Car ownership industry" ], "innovationCreativity" : "Pioneer new model capabilities", "problemSolvingSkills" : "Optimistic problem-solver; Systems thinker", "outcomesObjectives" : "Improve answer quality; Improve customer satisfaction; Improve automation rates", "qualificationsBasic" : "4+ years experience, Technical product management, Fast-paced startup experience, Proven interest LLM systems, Navigate technical tradeoffs, Lead by example, Implement AI platform standards, Turn complex ideas into products", "qualificationsPreferred" : "Management consulting experience", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "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" : "Product Owner, Agentic AI at Jerry.ai. Skills: Agentic AI, LLM systems, Product management. Lead end-to-end development. Shape modern LLM systems", "createdAt" : "2026-06-14T09:19:02.233", "lastUpdated" : "2026-06-15T09:47:20.697", "ingestTimestamp" : "2026-06-14T09:19:02.233", "mongoId" : "6a2cb13c74d8ee00a09dc94d", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 160000, "salaryAnnualMax" : 200000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "SQL", "Agentic AI", "LLM systems", "Product management", "Product strategy", "Roadmap development", "User stories", "Cross-functional collaboration", "Prompt strategies", "Evaluation frameworks", "System architecture", "AI best practices", "Platform standards", "Answer quality improvement", "Customer satisfaction improvement", "Automation rate improvement", "Experimentation", "Workflow automation", "Roadmap", "Car ownership industry" ], "skillCount" : 20, "jobCategory" : "product", "jobSubcategory" : "product_management", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a215f4574d8ee00a0bf2cd6", "title" : "Python AI Developer with RAG and Azure and Agentic AI - (W2 position)", "company" : "Syncreon Consulting", "industry" : "Computer And Network Security", "salary" : { "min" : 115000.0, "max" : 155000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimated salary is based on the market baseline for a Mid-level Python AI Developer in Cleveland, United States, with adjustments for the technology industry and contract employment type." }, "location" : "Cleveland, OH, United States", "locations" : [ "Cleveland", "OH", "United States" ], "timestamp" : "2026-06-05T08:20:06.657", "fingerprint" : "dcb808a176ab4885c40a960bc6ca7b030f874d4adc528620acaa65bbd7e96524", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/SyncreonConsulting/744000129787489-python-ai-developer-with-rag-and-azure-and-agentic-ai-w2-position-", "externalId" : "744000129787489", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Cleveland", "state" : "Ohio", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "41.4996574,-81.6936772" } ], "locationText" : "Cleveland, Ohio, United States", "employmentType" : "CONTRACT", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "entry", "technicalSkills" : "Python, RAG, LLM, Agentic AI, LangChain, CrewAI, AutoGen, Semantic Kernel, LangGraph, Azure, Azure OpenAI, Azure AI Search, Vector databases, Pinecone, ChromaDB, FAISS, Weaviate, Cosmos DB, FastAPI, Flask, Django, APIs, Microservices, Cloud deployments, NLP, Embeddings, Semantic search, Git, CI/CD pipelines, Docker, Kubernetes", "professionalSkills" : [ "Recruitment", "Staffing", "Hiring strategies", "Talent availability", "Compensation benchmarking" ], "hardSkillsList" : [ "Prompt engineering", "Fine-tuning concepts", "NLP", "Embeddings", "Semantic search" ], "hardSkills" : [ { "name" : "Prompt engineering", "level" : "intermediate" }, { "name" : "Fine-tuning concepts", "level" : "intermediate" }, { "name" : "NLP", "level" : "intermediate" }, { "name" : "Embeddings", "level" : "intermediate" }, { "name" : "Semantic search", "level" : "intermediate" } ], "majorSkills" : "Python, RAG, Agentic AI, Azure", "majorSkillsList" : [ "Python", "RAG", "Agentic AI", "Azure" ], "coreResponsibilities" : "Develop Python applications, Implement RAG architecture, Build LLM-based applications, Utilize Agentic AI frameworks, Deploy on Azure cloud, Use Azure OpenAI, Integrate Azure AI Search, Work with vector databases, Apply prompt engineering, Perform fine-tuning, Develop APIs, Build microservices, Manage cloud deployments, Apply NLP understanding, Implement embeddings, Conduct semantic search, Use Git for version control, Manage CI/CD pipelines, Containerize applications", "domainKnowledge" : "RAG architecture; Agentic AI; LLM; NLP; Embeddings; Semantic search; Microservices; Cloud deployments", "domainList" : [ "rag-architecture", "agentic-ai", "llm", "nlp", "embeddings", "semantic-search", "microservices", "cloud-deployments" ], "domainSpecificKnowledge" : [ "RAG architecture", "Agentic AI", "LLM", "NLP", "Embeddings", "Semantic search", "Microservices", "Cloud deployments" ], "toolProficiency" : [ "LangChain", "CrewAI", "AutoGen", "Semantic Kernel", "LangGraph", "Pinecone", "ChromaDB", "FAISS", "Weaviate", "Cosmos DB", "FastAPI", "Flask", "Django", "Docker", "Kubernetes", "Git" ], "qualificationsBasic" : "Python development experience, RAG architecture experience, LLM-based applications experience, Agentic AI frameworks experience, Azure cloud services experience, Azure OpenAI experience, Azure AI Search experience, Vector databases knowledge, Prompt engineering experience, Fine-tuning concepts experience, FastAPI, Flask, or Django familiarity, APIs, microservices, cloud deployments experience, NLP, embeddings, semantic search understanding, Git, CI/CD pipelines knowledge, Containerization tools knowledge", "qualificationsPreferred" : "LangChain, CrewAI, AutoGen, Semantic Kernel, or LangGraph experience, Pinecone, ChromaDB, FAISS, Weaviate, or Cosmos DB knowledge, Docker/Kubernetes knowledge", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "We provide Recruitment and Staffing services to many industries and domain through our innovative and customized solutions and passionate commitment to research. Ability to understand the hiring strategies, availability of talent and compensation benchmarking makes us proud hiring partner for various industries. We work as trusted business partners and always strive to deliver the most value and highest return on investment for our clients. We are highly trained business professionals with strong understanding of clients need. We work closely with the leading staffing trade associations, training, and research organizations to ensure we are knowledgeable of the latest industry trends and technologies. Required Skills * Strong experience in Python development. * Hands-on experience with RAG architecture and LLM-based applications. * Experience with Agentic AI frameworks such as LangChain, CrewAI, AutoGen, Semantic Kernel, or LangGraph. * Strong experience with Azure cloud services. * Experience with Azure OpenAI and Azure AI Search. * Knowledge of vector databases such as Pinecone, ChromaDB, FAISS, Weaviate, or Cosmos DB. * Experience with prompt engineering and fine-tuning concepts. * Familiarity with FastAPI, Flask, or Django. * Experience with APIs, microservices, and cloud deployments. * Strong understanding of NLP, embeddings, and semantic search. * Knowledge of Git, CI/CD pipelines, and containerization tools like Docker/Kubernetes. Regards, Mohammed ilyas, PH - 229-264-4024 or Text - 229-469-1455 or You can share the updated resume at Mohammed@vtekis. com ## Additional Information All your information will be kept confidential according to EEO guidelines.", "summaryDescription" : "Python AI Developer with RAG and Azure and Agentic AI - (W2 position) at Syncreon Consulting. Skills: Python, RAG, Agentic AI, Azure. Develop Python applications. Implement RAG architecture", "postedDate" : "2026-06-02T14:44:34.000", "createdAt" : "2026-06-04T19:17:10.731", "lastUpdated" : "2026-06-05T08:20:06.657", "ingestTimestamp" : "2026-06-04T19:17:10.731", "mongoId" : "6a215f4574d8ee00a0bf2cd6", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 115000, "salaryAnnualMax" : 155000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Prompt engineering", "Fine-tuning concepts", "NLP", "Embeddings", "Semantic search", "Python", "RAG", "Agentic AI", "Azure", "Recruitment", "Staffing", "Hiring strategies", "Talent availability", "Compensation benchmarking", "RAG architecture", "LLM", "Microservices", "Cloud deployments", "LangChain", "CrewAI", "AutoGen", "Semantic Kernel", "LangGraph", "Pinecone", "ChromaDB", "FAISS", "Weaviate", "Cosmos DB", "FastAPI", "Flask", "Django", "Docker", "Kubernetes", "Git" ], "skillCount" : 34, "jobCategory" : "other", "jobSubcategory" : "accounting/auditing", "dataQualityScore" : 1.0, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a210a0f74d8ee00a0ae99d5", "title" : "Python AI Developer with RAG and Azure and Agentic AI - (W2 position)", "company" : "Syncreon Consulting", "industry" : "Computer And Network Security", "salary" : { "min" : 105000.0, "max" : 145000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Python AI Developer in Cleveland, OH, adjusted for the technology industry and contract employment type." }, "location" : "Cleveland, OH, United States", "locations" : [ "Cleveland", "OH", "United States" ], "timestamp" : "2026-06-04T09:19:38.075", "fingerprint" : "f990c60fc01035695aab6e1c9b43fee4f2dfe0dae76995829f9221b7aa19bdcd", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/SyncreonConsulting/744000129787489-python-ai-developer-with-rag-and-azure-and-agentic-ai-w2-position-", "externalId" : "744000129787489", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Cleveland", "state" : "Ohio", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "41.4996574,-81.6936772" } ], "locationText" : "Cleveland, Ohio, United States", "employmentType" : "CONTRACT", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "entry", "technicalSkills" : "Python, RAG, LLM, Agentic AI, LangChain, CrewAI, AutoGen, Semantic Kernel, LangGraph, Azure, Azure OpenAI, Azure AI Search, Vector databases, Pinecone, ChromaDB, FAISS, Weaviate, Cosmos DB, FastAPI, Flask, Django, APIs, Microservices, Cloud deployments, NLP, Embeddings, Semantic search, Git, CI/CD, Docker, Kubernetes", "professionalSkills" : [ "Prompt engineering", "Fine-tuning concepts" ], "hardSkillsList" : [ "Python development", "RAG architecture", "LLM applications", "Agentic AI frameworks", "Azure cloud services", "Azure OpenAI", "Azure AI Search", "Vector databases", "Prompt engineering", "Fine-tuning concepts", "APIs", "Microservices", "Cloud deployments", "NLP", "Embeddings", "Semantic search", "CI/CD pipelines", "Containerization tools" ], "hardSkills" : [ { "name" : "Python development", "level" : "intermediate" }, { "name" : "RAG architecture", "level" : "intermediate" }, { "name" : "LLM applications", "level" : "intermediate" }, { "name" : "Agentic AI frameworks", "level" : "intermediate" }, { "name" : "Azure cloud services", "level" : "intermediate" }, { "name" : "Azure OpenAI", "level" : "intermediate" }, { "name" : "Azure AI Search", "level" : "intermediate" }, { "name" : "Vector databases", "level" : "intermediate" }, { "name" : "Prompt engineering", "level" : "intermediate" }, { "name" : "Fine-tuning concepts", "level" : "intermediate" }, { "name" : "APIs", "level" : "intermediate" }, { "name" : "Microservices", "level" : "intermediate" }, { "name" : "Cloud deployments", "level" : "intermediate" }, { "name" : "NLP", "level" : "intermediate" }, { "name" : "Embeddings", "level" : "intermediate" }, { "name" : "Semantic search", "level" : "intermediate" }, { "name" : "CI/CD pipelines", "level" : "intermediate" }, { "name" : "Containerization tools", "level" : "intermediate" } ], "majorSkills" : "Python, RAG, Agentic AI, Azure", "majorSkillsList" : [ "Python", "RAG", "Agentic AI", "Azure" ], "coreResponsibilities" : "Develop Python applications, Implement RAG architecture, Build LLM-based applications, Utilize Agentic AI frameworks, Deploy applications on Azure, Integrate Azure OpenAI services, Use Azure AI Search, Work with vector databases, Apply prompt engineering techniques, Perform fine-tuning, Develop APIs, Build microservices, Manage cloud deployments, Apply NLP understanding, Implement embeddings, Configure semantic search, Use Git for version control, Manage CI/CD pipelines, Use containerization tools", "domainKnowledge" : "NLP; Embeddings; Semantic search; Cloud deployments; Microservices", "domainList" : [ "nlp", "embeddings", "semantic-search", "cloud-deployments", "microservices" ], "domainSpecificKnowledge" : [ "NLP", "Embeddings", "Semantic search", "Cloud deployments", "Microservices" ], "toolProficiency" : [ "LangChain", "CrewAI", "AutoGen", "Semantic Kernel", "LangGraph", "Pinecone", "ChromaDB", "FAISS", "Weaviate", "Cosmos DB", "FastAPI", "Flask", "Django", "Git", "Docker", "Kubernetes" ], "qualificationsBasic" : "Python development experience, RAG architecture experience, LLM-based applications experience, Agentic AI frameworks experience, Azure cloud services experience, Azure OpenAI experience, Azure AI Search experience, Vector databases knowledge, Prompt engineering experience, Fine-tuning concepts experience, FastAPI, Flask, or Django familiarity, APIs, microservices experience, Cloud deployments experience, NLP understanding, Embeddings understanding, Semantic search understanding, Git knowledge, CI/CD pipelines knowledge, Containerization tools knowledge", "qualificationsPreferred" : "LangChain, CrewAI, AutoGen, Semantic Kernel, or LangGraph experience, Pinecone, ChromaDB, FAISS, Weaviate, or Cosmos DB knowledge, Docker/Kubernetes knowledge", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "We provide Recruitment and Staffing services to many industries and domain through our innovative and customized solutions and passionate commitment to research. Ability to understand the hiring strategies, availability of talent and compensation benchmarking makes us proud hiring partner for various industries. We work as trusted business partners and always strive to deliver the most value and highest return on investment for our clients. We are highly trained business professionals with strong understanding of clients need. We work closely with the leading staffing trade associations, training, and research organizations to ensure we are knowledgeable of the latest industry trends and technologies. Required Skills * Strong experience in Python development. * Hands-on experience with RAG architecture and LLM-based applications. * Experience with Agentic AI frameworks such as LangChain, CrewAI, AutoGen, Semantic Kernel, or LangGraph. * Strong experience with Azure cloud services. * Experience with Azure OpenAI and Azure AI Search. * Knowledge of vector databases such as Pinecone, ChromaDB, FAISS, Weaviate, or Cosmos DB. * Experience with prompt engineering and fine-tuning concepts. * Familiarity with FastAPI, Flask, or Django. * Experience with APIs, microservices, and cloud deployments. * Strong understanding of NLP, embeddings, and semantic search. * Knowledge of Git, CI/CD pipelines, and containerization tools like Docker/Kubernetes. Regards, Mohammed ilyas, PH - 229-264-4024 or Text - 229-469-1455 or You can share the updated resume at Mohammed@vtekis. com ## Additional Information All your information will be kept confidential according to EEO guidelines.", "summaryDescription" : "Python AI Developer with RAG and Azure and Agentic AI - (W2 position) at Syncreon Consulting. Skills: Python, RAG, Agentic AI, Azure. Develop Python applications. Implement RAG architecture", "postedDate" : "2026-06-02T14:44:34.000", "createdAt" : "2026-06-04T07:50:20.661", "lastUpdated" : "2026-06-04T09:19:38.075", "ingestTimestamp" : "2026-06-04T07:50:20.661", "mongoId" : "6a210a0f74d8ee00a0ae99d5", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 105000, "salaryAnnualMax" : 145000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Python development", "RAG architecture", "LLM applications", "Agentic AI frameworks", "Azure cloud services", "Azure OpenAI", "Azure AI Search", "Vector databases", "Prompt engineering", "Fine-tuning concepts", "APIs", "Microservices", "Cloud deployments", "NLP", "Embeddings", "Semantic search", "CI/CD pipelines", "Containerization tools", "Python", "RAG", "Agentic AI", "Azure", "LangChain", "CrewAI", "AutoGen", "Semantic Kernel", "LangGraph", "Pinecone", "ChromaDB", "FAISS", "Weaviate", "Cosmos DB", "FastAPI", "Flask", "Django", "Git", "Docker", "Kubernetes" ], "skillCount" : 38, "jobCategory" : "other", "jobSubcategory" : "accounting/auditing", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "68ed10ab70f0b99d58e7ba8b", "title" : "Agentic AI Teacher", "company" : "Amazon.com Services LLC", "industry" : "Database Administration, Machine Learning Data Operatio, Artificial Intelligence", "salary" : { "min" : 40400.0, "max" : 86500.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Boston, Massachusetts, USA", "locations" : [ "Boston, Massachusetts, USA" ], "timestamp" : "2026-06-15T04:09:02.118", "fingerprint" : "5fff4cb2698460c8929f510af028980a52e89c341086aed3030da95a986327a1", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3105036/apply", "externalId" : "7e52444a-329a-47dd-acc0-bea4c12a05a6", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Boston", "state" : "Massachusetts", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "42.3588336,-71.0578303" } ], "locationText" : "Boston, Massachusetts, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "technicalSkills" : "Python, SQL", "professionalSkills" : [ "Data processing", "Technical documentation" ], "hardSkillsList" : [ "Data annotation", "Text generation", "Data processing automation", "Problem implementation" ], "softSkillsList" : [ "Judgment", "Logical decision making" ], "hardSkills" : [ { "name" : "Data annotation", "level" : "intermediate" }, { "name" : "Text generation", "level" : "intermediate" }, { "name" : "Data processing automation", "level" : "intermediate" }, { "name" : "Problem implementation", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Judgment" }, { "name" : "Logical decision making" } ], "majorSkills" : "Generative AI, LLM development, Data annotation", "majorSkillsList" : [ "Generative AI", "LLM development", "Data annotation" ], "coreResponsibilities" : "Create training data, Annotate training data, Write texts in different styles, Automate data processing workflows, Optimize data processing workflows, Interpret technical documentation, Implement solutions, Dive deep into issues, Implement solutions independently, Identify tooling bugs, Report tooling bugs, Suggest tooling improvements, Make sound judgments, Make logical decisions", "teamCollaboration" : "Across business lines; With product team", "domainKnowledge" : "Generative AI; Large Language Models", "domainList" : [ "generative-ai", "large-language-models" ], "domainSpecificKnowledge" : [ "Generative AI", "Large Language Models" ], "communicationSkills" : "Grammatically correct texts; Different styles", "documentationSkills" : "Technical documentation", "innovationCreativity" : "Innovative candidates", "problemSolvingSkills" : "Solve complex problems", "outcomesObjectives" : "Improve LLM capabilities; Expand LLM capabilities", "qualificationsBasic" : "Bachelor's degree or equivalent experience, Advanced English proficiency, Experience with written language data, Familiarity with Python, Familiarity with scripting language, Familiarity with data structures", "qualificationsPreferred" : "Adaptability to fast-paced environments, Experience managing stakeholder relationships, Advanced proficiency in multiple languages", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Amazon is investing in generative AI and the responsible development and deployment of Large Language Models (LLMs) across all of our businesses. As part of the Data Team, you will deliver high-quality training data to improve and expand our proprietary LLM capabilities. We seek innovative candidates who can solve complex problems and drive technological advancement in AI. Your work will directly impact how Amazon's customers interact with our AI systems across multiple business lines. Key job responsibilities - Create and annotate high-quality complex training data in multiple modalities (text, image, video) on various topics, including technical or science-related content - Write grammatically correct texts in different styles with various degrees of creativity, strictly adhering to provided guidelines - Utilize Python and SQL to automate and optimize data processing workflows - Interpret technical documentation to implement solutions accurately - Dive deep into issues and implement solutions independently - Identify and report tooling bugs and suggest improvements - Make sound judgments and logical decisions when faced with ambiguous or incomplete information About the team Amazon strives to be the world’s most customer-centric company, where customers can research and purchase anything they might want online or offline. We set big goals and are looking for people who can help us reach and exceed them. The AGI organization provides AI capabilities for a variety of Amazon products and searches. We provide secure, flexible, cost effective, and high-quality data development services to our customers, that enables them to build advanced ML models. Basic Qualifications: - - - Bachelor’s degree in a relevant field or equivalent professional experience. - - - Advanced English-level language proficiency (C1+ or equivalent fluency by Common European Framework of Reference for Languages (CEFR) standards). - - - Proven experience working with written language data, including experience with annotation, and other forms of data markup. - - - Familiarity with critical concepts such as Python, scripting language, data structures etc. Preferred Qualifications: - Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy. - - - Experience managing stakeholder relationships across departments. - - - Advanced-level proficiency in multiple languages (C1+ or equivalent fluency by Common European Framework of Reference for Languages (CEFR) standards). 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 $40,400/year in our lowest geographic market up to $86,500/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" : "Agentic AI Teacher at Amazon.com Services LLC. Skills: Generative AI, LLM development, Data annotation. Create training data. Annotate training data", "postedDate" : "2026-06-13T09:21:39.354", "createdAt" : "2026-06-13T09:21:39.354", "lastUpdated" : "2026-06-15T04:09:02.118", "ingestTimestamp" : "2026-06-13T09:21:39.354", "mongoId" : "68ed10ab70f0b99d58e7ba8b", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3105036/apply", "salaryAnnualMin" : 40400, "salaryAnnualMax" : 86500, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Data annotation", "Text generation", "Data processing automation", "Problem implementation", "Judgment", "Logical decision making", "Generative AI", "LLM development", "Data processing", "Technical documentation", "Large Language Models" ], "skillCount" : 11, "jobCategory" : "data", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "68ed10ab70f0b99d58e7ba5d", "title" : "Agentic AI Teacher", "company" : "Amazon.com Services LLC", "industry" : "Database Administration, Machine Learning Data Operatio, Artificial Intelligence", "salary" : { "min" : 40400.0, "max" : 86500.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Boston, Massachusetts, USA", "locations" : [ "Boston, Massachusetts, USA" ], "timestamp" : "2026-06-15T00:50:44.018", "fingerprint" : "373af4eb42fafeece96194ddeab81dab25012794e416fd0e5c9d6f0677f71e33", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3105163/apply", "externalId" : "9a0519f7-555d-4402-923e-069aac6add5a", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Boston", "state" : "Massachusetts", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "42.3588336,-71.0578303" } ], "locationText" : "Boston, Massachusetts, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "technicalSkills" : "Python, SQL", "professionalSkills" : [ "Data processing", "Technical documentation" ], "hardSkillsList" : [ "Data annotation", "Data markup", "Data processing automation", "Problem solving" ], "softSkillsList" : [ "Adaptability", "Judgment" ], "hardSkills" : [ { "name" : "Data annotation", "level" : "intermediate" }, { "name" : "Data markup", "level" : "intermediate" }, { "name" : "Data processing automation", "level" : "intermediate" }, { "name" : "Problem solving", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Adaptability" }, { "name" : "Judgment" } ], "majorSkills" : "Generative AI, LLM", "majorSkillsList" : [ "Generative AI", "LLM" ], "coreResponsibilities" : "Create training data, Annotate training data, Write texts in different styles, Automate data processing workflows, Optimize data processing workflows, Interpret technical documentation, Implement solutions, Dive deep into issues, Implement solutions independently, Identify tooling bugs, Report tooling bugs, Suggest tooling improvements, Make sound judgments, Make logical decisions", "domainKnowledge" : "Large Language Models", "domainList" : [ "large-language-models" ], "domainSpecificKnowledge" : [ "Large Language Models" ], "documentationSkills" : "Technical documentation", "innovationCreativity" : "Innovative candidates", "problemSolvingSkills" : "Solve complex problems; Implement solutions independently; Make sound judgments; Make logical decisions", "qualificationsBasic" : "Bachelor's degree or equivalent, Advanced English proficiency, Experience with written language data, Familiarity with Python, Familiarity with scripting language, Familiarity with data structures", "qualificationsPreferred" : "Adapt to fast-paced environments, Manage stakeholder relationships, Advanced proficiency in multiple languages", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Amazon is investing in generative AI and the responsible development and deployment of Large Language Models (LLMs) across all of our businesses. As part of the Data Team, you will deliver high-quality training data to improve and expand our proprietary LLM capabilities. We seek innovative candidates who can solve complex problems and drive technological advancement in AI. Your work will directly impact how Amazon's customers interact with our AI systems across multiple business lines. Key job responsibilities - Create and annotate high-quality complex training data in multiple modalities (text, image, video) on various topics, including technical or science-related content - Write grammatically correct texts in different styles with various degrees of creativity, strictly adhering to provided guidelines - Utilize Python and SQL to automate and optimize data processing workflows - Interpret technical documentation to implement solutions accurately - Dive deep into issues and implement solutions independently - Identify and report tooling bugs and suggest improvements - Make sound judgments and logical decisions when faced with ambiguous or incomplete information About the team Amazon strives to be the world’s most customer-centric company, where customers can research and purchase anything they might want online or offline. We set big goals and are looking for people who can help us reach and exceed them. The AGI organization provides AI capabilities for a variety of Amazon products and searches. We provide secure, flexible, cost effective, and high-quality data development services to our customers, that enables them to build advanced ML models. Basic Qualifications: - Bachelor's degree or equivalent, or experience in a professional field or military - Advanced English-level language proficiency (C1+ or equivalent fluency by Common European Framework of Reference for Languages (CEFR) standards) - Proven experience working with written language data, including experience with annotation, and other forms of data markup - Familiarity with critical concepts such as Python, scripting language, data structures etc Preferred Qualifications: - Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy - Experience managing stakeholder relationships across departments - Advanced-level proficiency in multiple languages (C1+ or equivalent fluency by Common European Framework of Reference for Languages (CEFR) standards) 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 $40,400/year in our lowest geographic market up to $86,500/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" : "Agentic AI Teacher at Amazon.com Services LLC. Skills: Generative AI, LLM. Create training data. Annotate training data", "postedDate" : "2026-06-13T08:45:01.139", "createdAt" : "2026-06-13T08:45:01.139", "lastUpdated" : "2026-06-15T00:50:44.018", "ingestTimestamp" : "2026-06-13T08:45:01.139", "mongoId" : "68ed10ab70f0b99d58e7ba5d", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3105163/apply", "salaryAnnualMin" : 40400, "salaryAnnualMax" : 86500, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Data annotation", "Data markup", "Data processing automation", "Problem solving", "Adaptability", "Judgment", "Generative AI", "LLM", "Data processing", "Technical documentation", "Large Language Models" ], "skillCount" : 11, "jobCategory" : "data", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a305098f292fd229cef28d1", "title" : "Product Owner, 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" : "2026-06-16T11:02:13.466", "fingerprint" : "5590de90721fe906f199993585d2c096e8dc39a0d4f8315d9daae696beb23d3f", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/jerry.ai/adcb2f80-9843-44bd-bd26-24725201647f/application", "externalId" : "adcb2f80-9843-44bd-bd26-24725201647f", "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" : 4, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "LLMs, APIs", "professionalSkills" : [ "System design", "API design", "System architecture" ], "hardSkillsList" : [ "Prompt strategies", "Evaluation frameworks", "Guardrails" ], "hardSkills" : [ { "name" : "Prompt strategies", "level" : "intermediate" }, { "name" : "Evaluation frameworks", "level" : "intermediate" }, { "name" : "Guardrails", "level" : "intermediate" } ], "majorSkills" : "AI platform, LLM systems, Workflow automation", "majorSkillsList" : [ "AI platform", "LLM systems", "Workflow automation" ], "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 models, Work with partners at OpenAI to deploy models", "teamCollaboration" : "Cross-functional collaboration; Partner with engineers; Technical translator", "projectManagementSkills" : [ "Roadmap development" ], "domainKnowledge" : "AI agents; LLM systems; Voice models; Workflow automation; Car ownership industry", "domainList" : [ "ai-agents", "llm-systems", "voice-models", "workflow-automation", "car-ownership-industry" ], "domainSpecificKnowledge" : [ "AI agents", "LLM systems", "Voice models", "Workflow automation", "Car ownership industry" ], "communicationSkills" : "Technical translation", "problemSolvingSkills" : "Systems thinking; Problem-solving", "outcomesObjectives" : "Improve answer quality; Improve customer satisfaction; Improve automation rates", "qualificationsBasic" : "4+ years management consulting, 4+ years technical product management, Fast-paced startup experience", "qualificationsPreferred" : "Proven interest in modern LLM systems, Ability to navigate technical tradeoffs, Lead by example implementing AI platform standards, Track record turning complex ideas into scalable products", "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" : "Product Owner, 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" : "2026-06-16T00:28:37.596", "lastUpdated" : "2026-06-16T11:02:13.466", "ingestTimestamp" : "2026-06-16T00:28:37.596", "mongoId" : "6a305098f292fd229cef28d1", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 160000, "salaryAnnualMax" : 200000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Prompt strategies", "Evaluation frameworks", "Guardrails", "AI platform", "LLM systems", "Workflow automation", "System design", "API design", "System architecture", "Roadmap development", "AI agents", "Voice models", "Car ownership industry" ], "skillCount" : 13, "jobCategory" : "product", "jobSubcategory" : "product_management", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a305098f292fd229cef28cf", "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" : "2026-06-16T13:08:57.328", "fingerprint" : "189ec089f57e6bc236258a2d51766e4a47ee3fc70830a3d09b5b6f372156c4a2", "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, Platform development, LLM systems", "majorSkillsList" : [ "AI Agents", "Platform development", "LLM systems" ], "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" : "Partner with engineers; 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", "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", "qualificationsPreferred" : "Proven interest in modern LLM systems, 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, Platform development, LLM systems. Lead end-to-end development for AI platform. Lead end-to-end development for customer experiences", "createdAt" : "2026-06-16T00:28:21.901", "lastUpdated" : "2026-06-16T13:08:57.328", "ingestTimestamp" : "2026-06-16T00:28:21.901", "mongoId" : "6a305098f292fd229cef28cf", "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", "Platform development", "LLM systems", "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" : "6a305930f292fd229cf45a12", "title" : "Product Owner, 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" : "2026-06-16T09:36:44.085", "fingerprint" : "f035e997e534b18ab43e623050932ae7dc2efcf5931965f4f7ba8cc1eff3ff86", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/Jerry.ai/adcb2f80-9843-44bd-bd26-24725201647f/application", "externalId" : "adcb2f80-9843-44bd-bd26-24725201647f", "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" : 4, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "LLMs, APIs, SQL", "professionalSkills" : [ "System design", "API design", "System architecture" ], "hardSkillsList" : [ "Prompt strategies", "Evaluation frameworks", "Guardrails" ], "hardSkills" : [ { "name" : "Prompt strategies", "level" : "intermediate" }, { "name" : "Evaluation frameworks", "level" : "intermediate" }, { "name" : "Guardrails", "level" : "intermediate" } ], "majorSkills" : "AI platform, LLM systems, Product strategy", "majorSkillsList" : [ "AI platform", "LLM systems", "Product strategy" ], "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 models, Work with partners at OpenAI to deploy models", "teamCollaboration" : "Cross-functional collaboration; Partner with engineers; Technical translator", "projectManagementSkills" : [ "Roadmap development" ], "domainKnowledge" : "AI agents; LLM systems; Voice models; Workflow automation; Car ownership industry", "domainList" : [ "ai-agents", "llm-systems", "voice-models", "workflow-automation", "car-ownership-industry" ], "domainSpecificKnowledge" : [ "AI agents", "LLM systems", "Voice models", "Workflow automation", "Car ownership industry" ], "innovationCreativity" : "Pioneer new model capabilities", "problemSolvingSkills" : "Optimistic problem-solver; Data-driven hypothesis validation", "outcomesObjectives" : "Improve answer quality; Improve customer satisfaction; Improve automation rates", "qualificationsBasic" : "4+ years management consulting, 4+ years technical product management, Fast-paced startup experience", "qualificationsPreferred" : "Proven interest in modern LLM systems, Ability to navigate technical tradeoffs, Lead by example implementing AI platform standards, Track record turning complex ideas into scalable products", "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" : "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" : "68e6b1d970f0b99d58d66aee", "title" : "Agentic AI Teacher", "company" : "Amazon.com Services LLC", "industry" : "Database Administration, Machine Learning Data Operatio, Artificial Intelligence", "salary" : { "min" : 40400.0, "max" : 86500.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Boston, Massachusetts, USA", "locations" : [ "Boston, Massachusetts, USA" ], "timestamp" : "2026-06-15T02:47:06.963", "fingerprint" : "9c89d8fa20aafa5b09bf2fb198c28cfd50a1be984f24e2a60f0b066704025dbb", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3103204/apply", "externalId" : "e59b6bd1-a1ee-4c76-86df-5379cc31e59c", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Boston", "state" : "Massachusetts", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "42.3588336,-71.0578303" } ], "locationText" : "Boston, Massachusetts, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "technicalSkills" : "Python, SQL", "professionalSkills" : [ "Data processing", "Technical documentation" ], "hardSkillsList" : [ "Data annotation", "Text generation", "Data processing automation", "Problem implementation" ], "softSkillsList" : [ "Independent implementation", "Sound judgment", "Logical decisions" ], "hardSkills" : [ { "name" : "Data annotation", "level" : "intermediate" }, { "name" : "Text generation", "level" : "intermediate" }, { "name" : "Data processing automation", "level" : "intermediate" }, { "name" : "Problem implementation", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Independent implementation" }, { "name" : "Sound judgment" }, { "name" : "Logical decisions" } ], "majorSkills" : "Generative AI, LLM development, Data annotation", "majorSkillsList" : [ "Generative AI", "LLM development", "Data annotation" ], "coreResponsibilities" : "Create training data, Annotate training data, Write texts in different styles, Automate data processing workflows, Optimize data processing workflows, Interpret technical documentation, Implement solutions, Dive deep into issues, Implement solutions independently, Identify tooling bugs, Report tooling bugs, Suggest tooling improvements", "domainKnowledge" : "Generative AI; Large Language Models", "domainList" : [ "generative-ai", "large-language-models" ], "domainSpecificKnowledge" : [ "Generative AI", "Large Language Models" ], "documentationSkills" : "Technical documentation", "innovationCreativity" : "Innovative candidates", "problemSolvingSkills" : "Solve complex problems; Implement solutions independently; Make sound judgments; Make logical decisions", "qualificationsBasic" : "Bachelor's degree or equivalent experience, Advanced English proficiency, Experience with written language data, Experience with annotation, Familiarity with Python, Familiarity with scripting language, Familiarity with data structures", "qualificationsPreferred" : "Adapt to fast-paced environments, Manage stakeholder relationships, Advanced proficiency in multiple languages", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Amazon is investing in generative AI and the responsible development and deployment of Large Language Models (LLMs) across all of our businesses. As part of the Data Team, you will deliver high-quality training data to improve and expand our proprietary LLM capabilities. We seek innovative candidates who can solve complex problems and drive technological advancement in AI. Your work will directly impact how Amazon's customers interact with our AI systems across multiple business lines. Key job responsibilities - Create and annotate high-quality complex training data in multiple modalities (text, image, video) on various topics, including technical or science-related content - Write grammatically correct texts in different styles with various degrees of creativity, strictly adhering to provided guidelines - Utilize Python and SQL to automate and optimize data processing workflows - Interpret technical documentation to implement solutions accurately - Dive deep into issues and implement solutions independently - Identify and report tooling bugs and suggest improvements - Make sound judgments and logical decisions when faced with ambiguous or incomplete information About the team Amazon strives to be the world’s most customer-centric company, where customers can research and purchase anything they might want online or offline. We set big goals and are looking for people who can help us reach and exceed them. The AGI organization provides AI capabilities for a variety of Amazon products and searches. We provide secure, flexible, cost effective, and high-quality data development services to our customers, that enables them to build advanced ML models. Basic Qualifications: - Bachelor’s degree in a relevant field or equivalent professional experience - Advanced English-level language proficiency (C1+ or equivalent fluency by Common European Framework of Reference for Languages (CEFR) standards) - Proven experience working with written language data, including experience with annotation, and other forms of data markup - Familiarity with critical concepts such as Python, scripting language, data structures etc Preferred Qualifications: - Ability to adapt well to fast-paced environments with changing circumstances, direction, and strategy - Experience managing stakeholder relationships across departments - Advanced-level proficiency in multiple languages (C1+ or equivalent fluency by Common European Framework of Reference for Languages (CEFR) standards) 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 $40,400/year in our lowest geographic market up to $86,500/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" : "Agentic AI Teacher at Amazon.com Services LLC. Skills: Generative AI, LLM development, Data annotation. Create training data. Annotate training data", "postedDate" : "2026-06-13T07:48:28.468", "createdAt" : "2026-06-13T07:48:28.468", "lastUpdated" : "2026-06-15T02:47:06.963", "ingestTimestamp" : "2026-06-13T07:48:28.468", "mongoId" : "68e6b1d970f0b99d58d66aee", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3103204/apply", "salaryAnnualMin" : 40400, "salaryAnnualMax" : 86500, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Data annotation", "Text generation", "Data processing automation", "Problem implementation", "Independent implementation", "Sound judgment", "Logical decisions", "Generative AI", "LLM development", "Data processing", "Technical documentation", "Large Language Models" ], "skillCount" : 12, "jobCategory" : "data", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a307324f292fd229c000a03", "title" : "python developer", "company" : "Chedid Honey", "industry" : "Computer Software", "salary" : { "min" : 3.6E7, "max" : 6.0E7, "currency" : "LBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Python Developer in Beirut, Lebanon, adjusted for the Technology industry." }, "location" : "Beirut, LB", "locations" : [ "Beirut", "LB" ], "timestamp" : "2026-06-16T11:10:21.798", "fingerprint" : "e754cbef89ed7ecfaa8f3edddff8ed1402e60d1c4af048fe9e22835f4469f6eb", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/JobsForHumanity/744000132201509-python-developer", "externalId" : "744000132201509", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Beirut", "country" : "Lebanon", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "33.8892265,35.5025585" } ], "locationText" : "Beirut, Lebanon", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "technicalSkills" : "Python, RESTful APIs, Django, Flask, FastAPI, SQL, NoSQL, Git, PyTest, Unittest", "professionalSkills" : [ "Software development", "System architecture" ], "hardSkillsList" : [ "API design", "Database systems", "Code quality", "Unit tests" ], "hardSkills" : [ { "name" : "API design", "level" : "intermediate" }, { "name" : "Database systems", "level" : "intermediate" }, { "name" : "Code quality", "level" : "intermediate" }, { "name" : "Unit tests", "level" : "intermediate" } ], "majorSkills" : "Python, RESTful APIs, Database systems", "majorSkillsList" : [ "Python", "RESTful APIs", "Database systems" ], "coreResponsibilities" : "Write clean code, Maintain Python code, Develop RESTful APIs, Integrate RESTful APIs, Collaborate with developers, Integrate user-facing elements, Identify bottlenecks, Fix bugs, Participate in code reviews, Share knowledge, Design data storage, Implement data storage, Write unit tests, Ensure code quality, Contribute to architecture", "teamCollaboration" : "Collaborative environment; Cross-functional teams", "toolProficiency" : [ "Git" ], "communicationSkills" : "Communication abilities", "problemSolvingSkills" : "Problem-solving skills", "qualificationsBasic" : "Proficiency in Python programming, Experience with web frameworks, Understanding of RESTful API design, Knowledge of database systems, Familiarity with version control (Git), Problem-solving skills, Excellent communication and teamwork abilities, Experience with testing frameworks", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Jobs for Humanity is partnering with Chedid Honey to build an inclusive and just employment ecosystem. Therefore, we prioritize individuals coming from all walks of life. Company Name: Chedid Honey We are seeking a talented and motivated Python Developer to join our dynamic engineering team. As a key contributor, you will be responsible for designing, building, and maintaining efficient, reusable, and reliable Python code. If you are passionate about software development, enjoy solving complex problems, and thrive in a collaborative environment, we want to hear from you. Job Purpose The primary purpose of this role is to develop high-quality software solutions using Python, ensuring optimal performance, scalability, and reliability of our applications while collaborating with cross-functional teams to deliver on business objectives. Job Duties and Responsibilities * Write and maintain clean, scalable Python code * Develop and integrate RESTful APIs * Collaborate with front-end developers to integrate user-facing elements * Identify and fix bottlenecks and bugs * Participate in code reviews and knowledge sharing * Design and implement data storage solutions * Write unit tests and ensure code quality * Contribute to system architecture decisions ## Qualifications Required Qualifications * Proficiency in Python programming * Experience with web frameworks (e.g., Django, Flask, FastAPI) * Understanding of RESTful API design * Knowledge of database systems (SQL and NoSQL) * Familiarity with version control (Git) * Strong problem-solving skills * Excellent communication and teamwork abilities * Experience with testing frameworks (e.g., PyTest, unittest)", "summaryDescription" : "python developer at Chedid Honey. Skills: Python, RESTful APIs, Database systems. Write clean code. Maintain Python code", "postedDate" : "2026-06-15T13:21:35.000", "createdAt" : "2026-06-16T01:33:17.317", "lastUpdated" : "2026-06-16T11:10:21.798", "ingestTimestamp" : "2026-06-16T01:33:17.317", "mongoId" : "6a307324f292fd229c000a03", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "API design", "Database systems", "Code quality", "Unit tests", "Python", "RESTful APIs", "Software development", "System architecture", "Git" ], "skillCount" : 9, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305dabf292fd229cf69557", "title" : "python developer", "company" : "Chedid Honey", "industry" : "Computer Software", "salary" : { "min" : 3.0E7, "max" : 4.8E7, "currency" : "LBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Python Developer in Beirut, Lebanon, adjusted for the Technology industry." }, "location" : "Beirut, LB", "locations" : [ "Beirut", "LB" ], "timestamp" : "2026-06-16T09:11:27.794", "fingerprint" : "049e424b92fa994bd7b5fc2b5f88e0703bdb138f786e44db8d8f22c2468dbba8", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/JobsForHumanity/744000132201509-python-developer", "externalId" : "744000132201509", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Beirut", "country" : "Lebanon", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "33.8892265,35.5025585" } ], "locationText" : "Beirut, Lebanon", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "technicalSkills" : "Python, Django, Flask, FastAPI, RESTful API, SQL, NoSQL, Git, PyTest, Unittest", "majorSkills" : "Python programming, API design, Database systems", "majorSkillsList" : [ "Python programming", "API design", "Database systems" ], "coreResponsibilities" : "Write clean code, Maintain clean code, Write scalable Python code, Maintain scalable Python code, Develop RESTful APIs, Integrate RESTful APIs, Collaborate with front-end developers, Integrate user-facing elements, Identify bottlenecks, Fix bottlenecks, Identify bugs, Fix bugs, Participate in code reviews, Participate in knowledge sharing, Design data storage solutions, Implement data storage solutions, Write unit tests, Ensure code quality, Contribute to system architecture decisions", "teamCollaboration" : "Cross-functional teams", "toolProficiency" : [ "Git", "PyTest", "Unittest" ], "communicationSkills" : "Communication abilities", "problemSolvingSkills" : "Problem-solving skills", "qualificationsBasic" : "Proficiency in Python programming, Experience with web frameworks, Understanding of RESTful API design, Knowledge of database systems, Familiarity with version control, Problem-solving skills, Excellent communication and teamwork abilities, Experience with testing frameworks", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Jobs for Humanity is partnering with Chedid Honey to build an inclusive and just employment ecosystem. Therefore, we prioritize individuals coming from all walks of life. Company Name: Chedid Honey We are seeking a talented and motivated Python Developer to join our dynamic engineering team. As a key contributor, you will be responsible for designing, building, and maintaining efficient, reusable, and reliable Python code. If you are passionate about software development, enjoy solving complex problems, and thrive in a collaborative environment, we want to hear from you. Job Purpose The primary purpose of this role is to develop high-quality software solutions using Python, ensuring optimal performance, scalability, and reliability of our applications while collaborating with cross-functional teams to deliver on business objectives. Job Duties and Responsibilities * Write and maintain clean, scalable Python code * Develop and integrate RESTful APIs * Collaborate with front-end developers to integrate user-facing elements * Identify and fix bottlenecks and bugs * Participate in code reviews and knowledge sharing * Design and implement data storage solutions * Write unit tests and ensure code quality * Contribute to system architecture decisions ## Qualifications Required Qualifications * Proficiency in Python programming * Experience with web frameworks (e.g., Django, Flask, FastAPI) * Understanding of RESTful API design * Knowledge of database systems (SQL and NoSQL) * Familiarity with version control (Git) * Strong problem-solving skills * Excellent communication and teamwork abilities * Experience with testing frameworks (e.g., PyTest, unittest)", "summaryDescription" : "python developer at Chedid Honey. Skills: Python programming, API design, Database systems. Write clean code. Maintain clean code", "postedDate" : "2026-06-15T13:21:35.000", "createdAt" : "2026-06-15T23:43:35.252", "lastUpdated" : "2026-06-16T09:11:27.794", "ingestTimestamp" : "2026-06-15T23:43:35.252", "mongoId" : "6a305dabf292fd229cf69557", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Python programming", "API design", "Database systems", "Git", "PyTest", "Unittest" ], "skillCount" : 6, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "69faf7654c40e2acd185e1cd", "title" : "AI Engineer NLP (Python & Go – Bridging ML and Platform)", "company" : "ARTIDIS", "industry" : "Healthcare", "salary" : { "min" : 115000.0, "max" : 155000.0, "currency" : "CHF", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for AI Engineer NLP in Basel, Switzerland, adjusted for mid-seniority in the biotech industry." }, "location" : "Basel, CH", "locations" : [ "Basel", "CH" ], "timestamp" : "2026-06-16T01:16:02.188", "fingerprint" : "b380fd095c93c8a1a90de43afa23e9b8f3a682465c01adb4a23f0033f7876678", "source" : "breezyhr", "language" : "en", "applyUrl" : "https://artidis-ag.breezy.hr/p/a46441ace709-ai-engineer-nlp-python-go-bridging-ml-and-platform", "externalId" : "a46441ace709", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Basel", "country" : "Switzerland", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "47.5581077,7.5878261" } ], "locationText" : "Basel, Switzerland", "employmentType" : "FULL_TIME", "technicalSkills" : "Python, Go, ML", "majorSkills" : "NLP, ML, Platform Engineering", "majorSkillsList" : [ "NLP", "ML", "Platform Engineering" ], "domainKnowledge" : "Cancer diagnosis; Biomarker; Nanotechnology", "domainList" : [ "cancer-diagnosis", "biomarker", "nanotechnology" ], "domainSpecificKnowledge" : [ "Cancer diagnosis", "Biomarker", "Nanotechnology" ], "rawDescription" : "About ARTIDIS ARTIDIS AG is a clinical-stage health-tech start-up founded in Basel, Switzerland, that has developed the first nanomechanical biomarker for cancer diagnosis and treatment optimization. The ARTIDIS nanotechnology platform integrates various types of clinical data into the ARTIDISNET", "summaryDescription" : "AI Engineer NLP (Python & Go – Bridging ML and Platform) at ARTIDIS. Skills: NLP, ML, Platform Engineering", "createdAt" : "2026-06-14T18:37:38.593", "lastUpdated" : "2026-06-16T01:16:02.188", "ingestTimestamp" : "2026-06-14T18:37:38.593", "mongoId" : "69faf7654c40e2acd185e1cd", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "NLP", "ML", "Platform Engineering", "Cancer diagnosis", "Biomarker", "Nanotechnology" ], "skillCount" : 6, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Biotech", "llmIndustryConfidence" : 0.95 }, { "id" : "68ed10aa70f0b99d58e7b96b", "title" : "Agentic AI Teacher", "company" : "Amazon.com Services LLC", "industry" : "Machine Learning Science, Machine Learning Data Operatio, Artificial Intelligence", "salary" : { "min" : 40400.0, "max" : 86500.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Boston, Massachusetts, USA", "locations" : [ "Boston, Massachusetts, USA" ], "timestamp" : "2026-06-15T02:28:32.976", "fingerprint" : "505f045fc31ad874193f0634b4d102e7497f1d3b00cd29cb5ce6e2b3b80b9b81", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3105474/apply", "externalId" : "f72ffe53-26c4-49d1-aed6-d04e116e01ed", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Boston", "state" : "Massachusetts", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "42.3588336,-71.0578303" } ], "locationText" : "Boston, Massachusetts, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "technicalSkills" : "Python, SQL", "professionalSkills" : [ "Data processing", "Technical documentation" ], "hardSkillsList" : [ "Data annotation", "Data markup" ], "hardSkills" : [ { "name" : "Data annotation", "level" : "intermediate" }, { "name" : "Data markup", "level" : "intermediate" } ], "majorSkills" : "Generative AI, LLM", "majorSkillsList" : [ "Generative AI", "LLM" ], "coreResponsibilities" : "Create training data, Annotate training data, Write texts in different styles, Automate data processing workflows, Optimize data processing workflows, Interpret technical documentation, Implement solutions, Dive deep into issues, Implement solutions independently, Identify tooling bugs, Report tooling bugs, Suggest tooling improvements, Make sound judgments, Make logical decisions", "teamCollaboration" : "Collaborating across teams; Collaborating across functions", "domainKnowledge" : "Generative AI; Large Language Models", "domainList" : [ "generative-ai", "large-language-models" ], "domainSpecificKnowledge" : [ "Generative AI", "Large Language Models" ], "communicationSkills" : "Grammatically correct texts; Different styles", "documentationSkills" : "Technical documentation", "innovationCreativity" : "Innovative candidates", "problemSolvingSkills" : "Solve complex problems; Ambiguous information; Incomplete information", "outcomesObjectives" : "Improve LLM capabilities; Expand LLM capabilities", "qualificationsBasic" : "Bachelor's degree or equivalent, Advanced English proficiency, Experience with written language data, Experience with annotation, Familiarity with Python, Familiarity with scripting language, Familiarity with data structures", "qualificationsPreferred" : "Experience in fast paced environment, Experience in quickly changing environment, Experience in international environment, Experience building strategic relationships, Communicating across teams, Collaborating across functions, Advanced proficiency in multiple languages", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Amazon is investing in generative AI and the responsible development and deployment of Large Language Models (LLMs) across all of our businesses. As part of the Data Team, you will deliver high-quality training data to improve and expand our proprietary LLM capabilities. We seek innovative candidates who can solve complex problems and drive technological advancement in AI. Your work will directly impact how Amazon's customers interact with our AI systems across multiple business lines. Key job responsibilities - Create and annotate high-quality complex training data in multiple modalities (text, image, video) on various topics, including technical or science-related content - Write grammatically correct texts in different styles with various degrees of creativity, strictly adhering to provided guidelines - Utilize Python and SQL to automate and optimize data processing workflows - Interpret technical documentation to implement solutions accurately - Dive deep into issues and implement solutions independently - Identify and report tooling bugs and suggest improvements - Make sound judgments and logical decisions when faced with ambiguous or incomplete information About the team Amazon strives to be the world’s most customer-centric company, where customers can research and purchase anything they might want online or offline. We set big goals and are looking for people who can help us reach and exceed them. The AGI organization provides AI capabilities for a variety of Amazon products and searches. We provide secure, flexible, cost effective, and high-quality data development services to our customers, that enables them to build advanced ML models. Basic Qualifications: - Bachelor's degree or equivalent, or experience in a professional field or military - Advanced English-level language proficiency (C1+ or equivalent fluency by Common European Framework of Reference for Languages (CEFR) standards). - Proven experience working with written language data, including experience with annotation, and other forms of data markup. - Familiarity with critical concepts such as Python, scripting language, data structures etc. Preferred Qualifications: - Experience working in a fast paced, quickly changing or international environment - Experience building strategic relationships with stakeholders, including communicating and collaborating across teams and functions - Advanced-level proficiency in multiple languages (C1+ or equivalent fluency by Common European Framework of Reference for Languages (CEFR) standards). Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 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 $40,400/year in our lowest geographic market up to $86,500/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" : "Agentic AI Teacher at Amazon.com Services LLC. Skills: Generative AI, LLM. Create training data. Annotate training data", "postedDate" : "2026-06-13T06:14:54.039", "createdAt" : "2026-06-13T06:14:54.039", "lastUpdated" : "2026-06-15T02:28:32.976", "ingestTimestamp" : "2026-06-13T06:14:54.039", "mongoId" : "68ed10aa70f0b99d58e7b96b", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3105474/apply", "salaryAnnualMin" : 40400, "salaryAnnualMax" : 86500, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Data annotation", "Data markup", "Generative AI", "LLM", "Data processing", "Technical documentation", "Large Language Models" ], "skillCount" : 7, "jobCategory" : "data", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true } ], "status" : 200, "message" : "python ai developer with rag and azure and agentic ai w2 position jobs", "metadata" : { "title" : "python ai developer with rag and azure and agentic ai w2 position" }, "pagination" : { "page" : 0, "limit" : 50, "totalCount" : 59194, "totalPages" : 1184, "hasNext" : true, "hasPrevious" : false } }

Remote Python Ai Developer With Rag And Azure And Agentic Ai W2 Position Jobs

Top Skills

AI and Agentic AI Risk Management Senior Specialist

Senior AI FullStack Developer ( Python/React)

Staff Software Engineer, Agentic AI, Trust and Safety

Senior Agentic AI Engineer

Product Owner, Agentic AI

Product Owner, Agentic AI

Agentic AI Teacher

AI Sales Executive - Agentic AI Loops

AI Sales Executive - Agentic AI Loops

Agentic AI Engineer

RAG and Evaluation Engineer

Data and AI Consultant

AI First Developer

AI Developer

AI First Developer

AI First Developer

Director, Data and AI Engineering

Manager, AI Agents and Platform

Manager, AI Agents and Platform

AI Developer

AI First Developer

Python Engineer (AI/ML)

Python Engineer (AI/ML)

Python ML/AI Engineer

Director, Data and AI Engineering

Senior Product Manager, Agentic AI

Senior Product Manager, Agentic AI

Senior Product Manager, Agentic AI

Senior Product Manager, Agentic AI

Lead Azure AI Architect

Agentic AI Teacher

AI Developer

Agentic AI Teacher

Agentic AI Teacher

Agentic AI Teacher

Product Strategy and Operations Lead, AI and Infrastructure

Product Owner, Agentic AI

Python AI Developer with RAG and Azure and Agentic AI - (W2 position)

Python AI Developer with RAG and Azure and Agentic AI - (W2 position)

Agentic AI Teacher

Agentic AI Teacher

Product Owner, AI Agents and Platform

Senior Manager, AI Agents and Platform

Product Owner, AI Agents and Platform

Senior Manager, AI Agents and Platform

Agentic AI Teacher

python developer

python developer

AI Engineer NLP (Python & Go – Bridging ML and Platform)

Agentic AI Teacher

Related Searches

All Python Ai Developer With Rag And Azure And Agentic Ai W2 Position Jobs by City

More Remote Jobs

Common Questions