{ "count" : 78375, "data" : [ { "id" : "6a2c92ed74d8ee00a0986dfe", "title" : "Senior AI Algorithm Developer", "company" : "Xebia", "industry" : "Healthcare", "salary" : { "min" : 240000.0, "max" : 360000.0, "currency" : "PLN", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Senior AI Algorithm Developer in Poland, adjusted for industry and seniority." }, "location" : "Poland", "locations" : [ "Poland" ], "timestamp" : "2026-06-15T22:41:50.516", "fingerprint" : "f25a11a110b246ee49c1288d48d4d8d8006e4283005ff35c3b048255b7eb3375", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/xebiacee/jobs/6012272004", "externalId" : "6012272004", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Poland", "continent" : "eu", "workMode" : "onsite" } ], "locationText" : "Poland", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "AI, Machine learning, Computer vision, Algorithm development, Python, Deep learning, Computational geometry, 3D image processing, 3D segmentation, 3D modeling, 3D measurement, 3D meshes, Volumetric imaging, PyTorch, NumPy, SciPy, VTK, AWS, Azure, GCP, Databricks, Snowflake, TypeScript, GenAI", "professionalSkills" : [ "Software solutions", "Model development", "Image processing", "Computational modeling", "Software engineering", "Algorithm optimization", "Algorithm validation", "Medical imaging", "Cardiac analysis", "Cardiac visualization", "Cardiac measurement", "3D anatomical modeling", "3D anatomical analysis", "Clinical workflows", "Medical innovation", "Engineering standards", "Development practices", "Quality processes", "Technical decisions", "SDLC" ], "hardSkillsList" : [ "Python development", "Computational geometry implementation", "Medical imaging processing", "3D data processing", "Segmentation", "Reconstruction", "Mesh handling", "Algorithm optimization", "Algorithm validation", "Scientific computing", "Visualization libraries" ], "hardSkills" : [ { "name" : "Python development", "level" : "intermediate" }, { "name" : "Computational geometry implementation", "level" : "intermediate" }, { "name" : "Medical imaging processing", "level" : "intermediate" }, { "name" : "3D data processing", "level" : "intermediate" }, { "name" : "Segmentation", "level" : "intermediate" }, { "name" : "Reconstruction", "level" : "intermediate" }, { "name" : "Mesh handling", "level" : "intermediate" }, { "name" : "Algorithm optimization", "level" : "intermediate" }, { "name" : "Algorithm validation", "level" : "intermediate" }, { "name" : "Scientific computing", "level" : "intermediate" }, { "name" : "Visualization libraries", "level" : "intermediate" } ], "majorSkills" : "AI Algorithm Development, Medical Imaging, Deep Learning, 3D Image Processing", "majorSkillsList" : [ "AI Algorithm Development", "Medical Imaging", "Deep Learning", "3D Image Processing" ], "coreResponsibilities" : "Develop AI algorithms, Build segmentation pipelines, Maintain segmentation pipelines, Optimize segmentation pipelines, Build modeling pipelines, Maintain modeling pipelines, Optimize modeling pipelines, Build measurement pipelines, Maintain measurement pipelines, Optimize measurement pipelines, Design deep learning models, Train deep learning models, Validate deep learning models, Improve deep learning models, Work with medical imaging datasets, Develop computational geometry algorithms, Optimize computational geometry algorithms, Process 3D meshes, Analyze 3D meshes, Manipulate 3D meshes, Process volumetric imaging data, Analyze volumetric imaging data, Manipulate volumetric imaging data, Improve algorithm robustness, Improve algorithm accuracy, Improve algorithm scalability, Improve algorithm performance, Contribute to validation activities, Support evidence preparation, Participate in technical discussions, Support continuous improvement, Mentor team members", "teamCollaboration" : "Multidisciplinary teams; 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Fluent English", "continuousLearning" : "Knowledge sharing", "innovationCreativity" : "Innovative AI-powered software; Medical innovation; Emerging AI-driven practices; Agent-based workflows; Automation patterns; AI-augmented development", "problemSolvingSkills" : "Analytical skills; Problem-solving skills; Root cause analysis", "specialRequirements" : "Work permit required", "outcomesObjectives" : "Deliver robust solutions; Deliver accurate solutions; Support clinical workflows; Support medical innovation", "qualificationsBasic" : "Commercial experience in AI, Commercial experience in machine learning, Commercial experience in computer vision, Commercial experience in algorithm development, Python development skills, Experience building production-grade software, Hands-on experience with deep learning frameworks, Hands-on experience with model development, Understanding of computational geometry concepts, Practical implementation of computational geometry, Experience working with medical imaging technologies, Experience working with healthcare datasets, Practical experience processing medical imaging, Practical experience analyzing medical imaging, Experience with 3D data processing, Experience with segmentation, Experience with reconstruction, Experience with mesh handling, Experience optimizing algorithms, Experience validating algorithms, Analytical skills, Problem-solving skills, Ability to work within multidisciplinary teams, Ability to work within international teams, Experience working within Agile software development, Attention to quality, Attention to reliability, Attention to scientific rigor, Work from the European Union region, Work permit required", "qualificationsPreferred" : "Experience with TypeScript development, Exposure to AWS cloud services, Exposure to cloud-native development practices, Experience working within regulated healthcare, Experience working within medical device environments, Familiarity with medical device development standards, Familiarity with healthcare regulatory requirements, Experience working with major medical imaging vendors, Experience working with healthcare technology vendors, Experience working with medical device vendors, Fluent English communication skills, German language skills", "remoteFriendly" : true, "rawDescription" : "Xebia is a global AI-first, digital transformation, and engineering partner. With over 25 years of experience and a team of 5,000 professionals across 16 countries, we help organizations design and build scalable products, platforms, and data-driven solutions. We specialize in Artificial Intelligence, Data and Cloud, Intelligent Automation, and Digital Products, combining deep technical expertise with a strong focus on engineering excellence and a people-first culture. In the CEE region, we’re a team of nearly 1,000 experts delivering modern applications, data platforms, and AI solutions for clients such as McLaren, Aviva, Deloitte, Spotify, Disney, ING, UPS, Tesco, Truecaller, AllSaints, Volotea, Schmitz Cargobull, Allegro, InPost, and many, many more. We work with leading technologies including AWS, Azure, GCP, Databricks, and Snowflake, and combine strong engineering culture with a consulting mindset and a continuous focus on growth and knowledge sharing. About project: We are looking for a Senior AI Algorithm Developer to join a project delivered for our international client operating in the medical technology and healthcare domain. The client is focused on developing advanced cardiac imaging solutions that support clinical decision-making through innovative AI-powered software and medical imaging technologies. This role is a great opportunity to work on cutting-edge medical imaging platforms, contributing to the development of AI algorithms used in cardiac analysis, visualization, and measurement workflows. You will be involved in the design, implementation, optimization, and validation of advanced algorithms supporting 3D image processing, deep learning, and computational modeling in a highly specialized healthcare environment. The project combines artificial intelligence, medical imaging, computational geometry, and software engineering within a multidisciplinary team consisting of product specialists, engineers, clinical experts, and regulatory stakeholders. You will play a key role in delivering robust and accurate solutions that support critical clinical workflows and medical innovation. You will be: developing AI algorithms for advanced cardiac medical imaging platforms, build, maintain, and optimize 3D segmentation, modeling, and measurement pipelines, design, train, validate, and improve deep learning models for medical imaging applications, work with complex medical imaging datasets, including CT, MRI, and echocardiography data, develop and optimize computational geometry algorithms for 3D anatomical modeling and analysis, process, analyze, and manipulate 3D meshes and volumetric imaging data, collaborate closely with product managers, software engineers, clinical experts, and regulatory teams, improve algorithm robustness, accuracy, scalability, and performance across different clinical scenarios, contribute to validation activities and support the preparation of evidence required for clinical and regulatory processes, participate in technical discussions related to AI, computer vision, image analysis, and medical software development, support continuous improvement of engineering standards, development practices, and quality processes, depending on seniority, take ownership of technical areas, drive technical decisions, and mentor less experienced team members, Your profile: strong commercial experience in AI, machine learning, computer vision, or algorithm development roles, strong Python development skills with experience building production-grade software solutions, hands-on experience with deep learning frameworks and model development, strong understanding of computational geometry concepts and practical implementations, experience working with medical imaging technologies and healthcare datasets, practical experience processing and analyzing CT, MRI, echocardiography, or similar medical imaging modalities, strong experience with 3D data processing, segmentation, reconstruction, and mesh handling, experience optimizing and validating algorithms for accuracy, robustness, and performance, hands-on experience with PyTorch, NumPy, SciPy, VTK, or similar scientific computing and visualization libraries, strong analytical and problem-solving skills, ability to work effectively within multidisciplinary and international teams, excellent communication skills and ability to collaborate with both technical and non-technical stakeholders, experience working within Agile software development environments, strong attention to quality, reliability, and scientific rigor, Practical experience using AI-powered assistants (e. g. Claude Code, GitHub Copilot, Cursor) to improve productivity, quality, or decision-making in software delivery. Work from the European Union region and a work permit are required. Nice to have: experience with TypeScript development, exposure to AWS cloud services and cloud-native development practices, experience working within regulated healthcare or medical device environments, familiarity with medical device development standards and healthcare regulatory requirements, experience working with major medical imaging, healthcare technology, or medical device vendors, fluent English communication skills, both written and spoken, German language skills are considered an advantage, Experience applying GenAI in a more structured way within the SDLC, including defined workflows, prompt patterns, or tool integrations embedded into daily work. Interest in and familiarity with emerging AI-driven practices (e. g. agent-based workflows, automation patterns, AI-augmented development), with a willingness to explore and experiment beyond standard approaches. Recruitment Process: CV review – HR call – Interview – Client Interview – Decision", "summaryDescription" : "Senior AI Algorithm Developer at Xebia. Skills: AI Algorithm Development, Medical Imaging, Deep Learning, 3D Image Processing. Develop AI algorithms. Build segmentation pipelines", "postedDate" : "2026-06-14T20:05:27.429", "createdAt" : "2026-06-14T20:05:27.429", "lastUpdated" : "2026-06-15T22:41:50.516", "ingestTimestamp" : "2026-06-14T20:05:27.429", "mongoId" : "6a2c92ed74d8ee00a0986dfe", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Python development", "Computational geometry implementation", "Medical imaging processing", "3D data processing", "Segmentation", "Reconstruction", "Mesh handling", "Algorithm optimization", "Algorithm validation", "Scientific computing", "Visualization libraries", "AI Algorithm Development", "Medical Imaging", "Deep Learning", "3D Image Processing", "Software solutions", "Model development", "Image processing", "Computational modeling", "Software engineering", "Medical imaging", "Cardiac analysis", "Cardiac visualization", "Cardiac measurement", "3D anatomical modeling", "3D anatomical analysis", "Clinical workflows", 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: 55000.0, "max" : 80000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Embedded & Edge AI Engineer in Roncade, Italy, adjusted for industry and seniority." }, "location" : "Roncade (TV), Veneto", "locations" : [ "Roncade (TV), Veneto" ], "timestamp" : "2026-06-15T12:58:27.188", "fingerprint" : "3d01a665e74420897db850137e0c2eca6f12564fe2fd6ab09c81dfe20b5bab24", "source" : "jazzhr", "language" : "en", "externalId" : "qzsFWRWuyi", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Roncade", "state" : "Veneto", "country" : "Italy", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "45.6152620,12.3944188" } ], "locationText" : "Roncade, Veneto, Italy", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "summaryDescription" : "Senior Embedded & Edge AI Engineer", "createdAt" : "2026-06-14T01:36:04.457", "lastUpdated" : "2026-06-15T12:58:27.188", "ingestTimestamp" : "2026-06-14T01:36:04.457", "mongoId" : "6a2cb96374d8ee00a09f7bc9", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.44444445, "_score" : 1661.4193, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c6af174d8ee00a090f4ec", "title" : "AI Algorithm Leader", "company" : "Bybit", "industry" : "Technology", "salary" : { "min" : 210000.0, "max" : 350000.0, "currency" : "MYR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for an AI Algorithm Leader Manager role in Kuala Lumpur, Malaysia, adjusted for FinTech industry and company size." }, "location" : "Kuala Lumpur Tech Office", "locations" : [ "Kuala Lumpur Tech Office" ], "timestamp" : "2026-06-16T06:16:20.350", "fingerprint" : "1c148dca2e1e663eb597cd4e879747e55c92f90445f18867dd7d09220d93ccdb", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.eu.greenhouse.io/bybit/jobs/4860293101", "externalId" : "4860293101", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Kuala Lumpur", "country" : "Malaysia", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "3.1516964,101.6942371" } ], "locationText" : "Kuala Lumpur, Malaysia", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 5, "experienceMaxYears" : 15, "experienceLevel" : "Lead", "technicalSkills" : "LLM, GPT, Agent frameworks, RAG, Vectorization, Prompt Engineering", "professionalSkills" : [ "Technical planning", "Technical judgment", "Business acumen", "Project completion" ], "hardSkillsList" : [ "AI algorithm engineering", "Recommendation systems", "LLM productionization", "Knowledge base systems" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "AI algorithm engineering", "level" : "intermediate" }, { "name" : "Recommendation systems", "level" : "intermediate" }, { "name" : "LLM productionization", "level" : "intermediate" }, { "name" : "Knowledge base systems", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "coreResponsibilities" : "Lead technical planning, Lead execution, Oversee AI algorithm directions, Drive team exploration, Champion AI Native development, Improve overall efficiency, Establish technical culture, Establish engineering standards, Track industry frontiers, Provide technical judgment, Provide adoption roadmaps", "teamCollaboration" : "Cross-team communication; Collaboration", "projectManagementSkills" : [ "Roadmaps" ], "domainKnowledge" : "Large language model applications; Personalized recommendation; AI Native development; LLM; Agent; RAG; Multimodal", "domainList" : [ "large-language-model-applications", "personalized-recommendation", "ai-native-development", "llm", "agent", "rag", "multimodal" ], "domainSpecificKnowledge" : [ "Large language model applications", "Personalized recommendation", "AI Native development", "LLM", "Agent", "RAG", "Multimodal" ], "toolProficiency" : [ "Cursor", "Copilot" ], "continuousLearning" : "Study Growth Fund; Continuous learning", "innovationCreativity" : "Innovation", "problemSolvingSkills" : "Problem-solvers", "qualificationsBasic" : "Bachelor's degree or above in Computer Science, Mathematics, Statistics, or related, 2+ years in team management, Hands-on experience in intelligent customer service, AIGC, or related, Deep expertise in recommendation systems, Experience deploying large-scale online recommendation systems, Hands-on experience with LLM productionization, Real-world business application cases, Experience building enterprise knowledge bases, Experience building knowledge base system from scratch, Business acumen, Excellent cross-team communication, Excellent collaboration, Able to drive complex projects to completion", "qualificationsPreferred" : "Master's or PhD preferred, Experience participating in AI platform development, Experience participating in MLOps infrastructure development, Background from top-tier tech company, Background from AI unicorn, Hands-on experience with AI coding tools, Hands-on experience with developer productivity tools", "workSiteFlexibility" : "Onsite", "rawDescription" : "About Us Established in 2018, Bybit is one of the world’s leading cryptocurrency exchanges and digital financial platforms, serving over 80 million users across more than 200 countries and regions. Powered by world-class technology and a user-first mindset, Bybit delivers a seamless ecosystem across trading, payments, wealth management, custody, institutional services, and Web3 — connecting users to the future of digital finance. Our core values define how we build. We listen, care and improve to create products and experiences that put users first. Backed by a global team of ambitious builders, problem-solvers, and innovators, we foster a high-performance and fast-moving environment where talent is empowered to drive real impact at the global scale. Supported by 24/7 multilingual customer service and a strong commitment to innovation, we are shaping the future of finance through technology, collaboration, and bold execution. Today, Bybit is recognized as one of the most trusted and transparent platforms in the digital asset industry, continuing to expand its global presence while building the infrastructure for the next generation of financial services. Responsibilities Lead the technical planning and execution of the AI algorithm team, overseeing core directions including intelligent customer service, large language model applications (GPT), and personalized recommendation (individualized user experience) Drive the team's exploration of cutting-edge AI technologies; champion AI Native development practices to improve overall R establish the team's technical culture and engineering standards Track industry frontiers (LLM, Agent, RAG, multimodal, etc.) and provide technical judgment and actionable adoption roadmaps Requirements Must-Have Bachelor's degree or above in Computer Science, Mathematics, Statistics, or a related field; Master's or PhD preferred 5+ years of AI/ML algorithm engineering experience, with 2+ years in team management Proven hands-on experience in intelligent customer service, AIGC, or related areas Deep expertise in recommendation systems, including the full pipeline of recall, ranking, and re-ranking, with experience deploying large-scale online recommendation systems Hands-on experience with LLM productionization, including Prompt Engineering, RAG, Fine-tuning, and Agent frameworks, with real-world business application cases Experience building enterprise knowledge bases, including document parsing, vectorization, retrieval-augmented generation (RAG), and knowledge graphs; experience building a knowledge base system from scratch Strong business acumen — able to align algorithmic capabilities closely with business objectives Excellent cross-team communication and collaboration skills; able to drive complex projects to completion Nice to Have Experience participating in AI platform or MLOps infrastructure development Background from a top-tier tech company or AI unicorn Hands-on experience with AI coding / developer productivity tools (Cursor, Copilot, etc.) Why Join Us At Bybit, we are committed to fostering a supportive and enriching work environment. Our benefits include: - Study Growth Fund: We support your professional development and continuous learning. - Internal Events: Participate in regular team-building activities, workshops, and events designed to promote collaboration and innovation. - Global Collaboration: Be part of a diverse, international team, working alongside colleagues from around the world. - Career Advancement: Access opportunities for growth and advancement within a rapidly expanding global company. - Internal Mobility: Grow with us- Your long-term development is important to us. We offer internal job opportunities to help build your career path.", "summaryDescription" : "AI Algorithm Leader at Bybit. Lead technical planning. Lead execution", "postedDate" : "2026-06-14T20:03:52.093", "createdAt" : "2026-06-14T20:03:52.093", "lastUpdated" : "2026-06-16T06:16:20.350", "ingestTimestamp" : "2026-06-14T20:03:52.093", "mongoId" : "6a2c6af174d8ee00a090f4ec", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "AI algorithm engineering", "Recommendation systems", "LLM productionization", "Knowledge base systems", "Leadership", "Technical planning", "Technical judgment", "Business acumen", "Project completion", "Roadmaps", "Large language model applications", "Personalized recommendation", "AI Native development", "LLM", "Agent", "RAG", "Multimodal", "Cursor", "Copilot" ], "skillCount" : 19, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Manager", "dataQualityScore" : 1.0, "_score" : 1599.047, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c70f374d8ee00a092d036", "title" : "Finance AI Intern (f/m/d)", "company" : "Prewave", "industry" : "FinTech", "salary" : { "min" : 1400.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : false }, "location" : "Wien, AT", "locations" : [ "Wien", "AT" ], "certifications" : [ "CFA", "CPA", "FRM", "Series 7", "Series 63", "Series 65", "CAIA", "CFP", "ACCA", "ACA" ], "timestamp" : "2026-06-15T22:43:23.391", "fingerprint" : "ee9ecf31d3ff88d8d3974ceff8ae67be5ab355870573a35756aeb5e1f0756b30", "source" : "personio", "language" : "en", "applyUrl" : "https://prewave.jobs.personio.de/job/2660876", "externalId" : "2660876", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Vienna", "country" : "Austria", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "48.2083537,16.3725042" } ], "locationText" : "Vienna, Austria", "employmentType" : "INTERNSHIP", "technicalSkills" : "Python, R, SQL, Bloomberg Terminal, Reuters Eikon, FactSet", "professionalSkills" : [ "Financial modeling", "Risk assessment", "Quantitative analysis" ], "hardSkillsList" : [ "Quantitative skills", "Financial analysis" ], "hardSkills" : [ { "name" : "Quantitative skills", "level" : "intermediate" }, { "name" : "Financial analysis", "level" : "intermediate" } ], "majorSkills" : "Financial instruments, Regulatory frameworks, Risk methodologies", "majorSkillsList" : [ "Financial instruments", "Regulatory frameworks", "Risk methodologies" ], "coreResponsibilities" : "Analyze financial data, Develop financial models, Assess financial risks, Monitor market trends, Ensure regulatory compliance, Prepare financial reports, Collaborate with finance teams, Support investment decisions", "teamCollaboration" : "Cross-functional teams; Finance department", "domainKnowledge" : "Financial instruments; Regulatory frameworks; Risk methodologies; Banking; Investment management; Trading; Risk; Compliance; Insurance; Fintech; Accounting", "domainList" : [ "financial-instruments", "regulatory-frameworks", "risk-methodologies", "banking", "investment-management", "trading", "risk", "compliance", "insurance", "fintech", "accounting" ], "domainSpecificKnowledge" : [ "Financial instruments", "Regulatory frameworks", "Risk methodologies", "Banking", "Investment management", "Trading", "Risk", "Compliance", "Insurance", "Fintech", "Accounting" ], "toolProficiency" : [ "Bloomberg Terminal", "Reuters Eikon", "FactSet" ], "problemSolvingSkills" : "Quantitative skills", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "About Prewave Make a Real Difference At Prewave, we are dedicated to making a positive impact on the world. Our innovative AI solutions help businesses identify and predict global supply chain risks. Our aim is to make supply chains more resilient, transparent and sustainable. By doing this we help companies to ensure fair working conditions, eliminate child labour, reduce waste and promote sustainable practices across global supply chains. Trusted by Global Industry Leaders Prewave proudly partners with industry leaders such as BMW, Kärcher, Hilti, PwC, and Porsche. Our supply chain superintelligence helps navigate complex supply chain challenges, ensuring operational integrity and enhancing market leadership. Your mission We're looking for a Finance AI Intern (f/m/d) who builds things that actually get used. You'll work at the intersection of Finance, RevOps, and Operations, automating the manual work that slows smart teams down. That means shipping internal tools, AI agents, and system integrations that replace copy-paste workflows with clean, reliable pipelines. What you'll work on: Automation at the core: Eliminate recurring manual processes like reconciliations, data syncing across Salesforce, our ERP and BI, monthly reporting packs, and invoice and expense workflows. AI agents with real impact: Build end-to-end agents that handle repetitive Finance and Operations tasks, from data extraction and validation to system updates and Slack or email notifications. Internal apps you own: Spec, build, and deploy lightweight dashboards and tools that replace fragmented spreadsheets and legacy tooling, start to finish. System integrations that stick: Connect Salesforce, accounting, HRIS, and BI via APIs so data flows automatically, no manual handoffs. Direct stakeholder partnership: Work alongside Finance and Operations teams to scope real problems, prototype fast, and measure hours saved. You own outcomes, not just tickets. Your profile Must-haves: Technical foundation: Strong coding ability in Python or TypeScript/JavaScript, with working knowledge of REST APIs, JSON, SQL, and Git. Degree in CS, Software Engineering, or Information Systems preferred; a non-technical degree is fine if your portfolio demonstrates equivalent ability. AI-native builder: Hands-on experience shipping projects with AI coding assistants (Cursor, Claude Code, or similar) and at least one workflow automation platform (n8n, Zapier, or Make). Familiarity with MCP servers or agent frameworks is a strong plus. Domain bridge: Curious about finance operations and able to translate fluently between technical and non-technical stakeholders. Prior finance exposure is not required, but you should be excited to learn billing, procurement, and close processes from the inside. Delivery mindset: A track record of shipping working v1s in days, not perfect v3s in quarters. Be ready to share two or three projects you built end-to-end and walk us through what you'd do differently. Logistics: Fluent in English; valid work permit for Austria; based in or commutable to Vienna. German is a plus. Bonus points: Exposure to Salesforce or other CRM / ERP systems. Experience with finance or operations workflows: billing, procurement, payroll, or month-end close. If you have a side project or GitHub repo where you automated something that used to be done manually, lead with that. What we offer you Competitive Compensation and Benefits: We recognise and reward talent. You'll receive a competitive compensation package of minimum EUR 1,400 gross monthly based on collective agreement, which is tailored to your qualifications, experience, and the role. Inclusive and Supportive Work Environment: Join a dynamic team in a welcoming and inclusive atmosphere. We celebrate diversity and are committed to fostering a workplace where all backgrounds, identities, and experiences are valued. Your voice is important here. Work-Life Balance: Your well-being matters. Enjoy flexible working hours and options for working from home to promote a healthy balance between your professional and personal life. What our employees love: Celebrate Your Birthday: Enjoy an extra vacation day to make your birthday special. Health and Wellness Initiatives: Benefit from our Eversports partnership, mental health support, shiatsu sessions, and regular health check-ups. Training and Development: Access company-wide German and soft skills training and work with your manager on your personal growth plan. Engaging Team Events: Join us for cheese tastings, ping-pong tournaments, company dinners, seasonal celebrations, and more. Office Snacks and Fruits: Stay energised with a variety of snacks and fresh fruits available in the office. Your Device of Choice: Windows, MacOS, or Linux – pick your preferred setup.", "summaryDescription" : "Finance AI Intern (f/m/d) at Prewave. Skills: Financial instruments, Regulatory frameworks, Risk methodologies. Analyze financial data. Develop financial models", "createdAt" : "2026-06-14T21:54:32.698", "lastUpdated" : "2026-06-15T22:43:23.391", "ingestTimestamp" : "2026-06-14T21:54:32.698", "mongoId" : "6a2c70f374d8ee00a092d036", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Quantitative skills", "Financial analysis", "Financial instruments", "Regulatory frameworks", "Risk methodologies", "Financial modeling", "Risk assessment", "Quantitative analysis", "Banking", "Investment management", "Trading", "Risk", "Compliance", "Insurance", "Fintech", "Accounting", "CFA", "CPA", "FRM", "Series 7", "Series 63", "Series 65", "CAIA", "CFP", "ACCA", "ACA", "Bloomberg Terminal", "Reuters Eikon", "FactSet" ], "skillCount" : 29, "jobCategory" : "finance", "jobSubcategory" : "accounting", "seniorityLevel" : "Entry", "dataQualityScore" : 0.7777778, "_score" : 1463.9894, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "SaaS", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c7dc574d8ee00a0950bf0", "title" : "Hardware Engineer (Edge AI)", "company" : "Ubiquiti", "industry" : "Technology", "salary" : { "min" : 1300000.0, "max" : 2000000.0, "currency" : "TWD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Hardware Engineer in Taiwan, adjusted for the technology industry and company size." }, "location" : "Taiwan", "locations" : [ "Taiwan" ], "timestamp" : "2026-06-15T22:44:02.570", "fingerprint" : "fd4f7dc75ecc3a7e6e6c1c36a303df6ca9abb4af7e8932befeb2c06a06353df2", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/ubiquiti/jobs/4187096009", "externalId" : "4187096009", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Taiwan", "continent" : "as", "workMode" : "onsite" } ], "locationText" : "Taiwan", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 3, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "PCIe, DDR, USB, XGbE, Serdes, MIPI CSI, DSI, DC-DC, VRMs, OrCAD Capture, Allegro", "professionalSkills" : [ "Circuit design", "Component selection", "PCB layout review", "Hardware bring-up", "Hardware debugging", "Hardware validation", "Functional tests", "Performance benchmarks", "Thermal resilience", "EMIC compliance", "Product requirements translation", "Hardware specifications", "Architectural designs", "Test strategies", "Product optimization", "Reliability optimization", "Cost-efficiency optimization", "Manufacturability optimization", "Hardware challenges diagnosis", "Product performance" ], "hardSkillsList" : [ "Schematic capture", "PCB layout", "Power supply design", "Signal integrity analysis", "EMIC compliance testing", "Thermal analysis" ], "softSkillsList" : [ "Problem-solving", "Analytical skills", "Ownership mentality" ], "hardSkills" : [ { "name" : "Schematic capture", "level" : "intermediate" }, { "name" : "PCB layout", "level" : "intermediate" }, { "name" : "Power supply design", "level" : "intermediate" }, { "name" : "Signal integrity analysis", "level" : "intermediate" }, { "name" : "EMIC compliance testing", "level" : "intermediate" }, { "name" : "Thermal analysis", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Problem-solving" }, { "name" : "Analytical skills" }, { "name" : "Ownership mentality" } ], "majorSkills" : "Hardware design, Edge AI hardware, Circuit design, Signal integrity", "majorSkillsList" : [ "Hardware design", "Edge AI hardware", "Circuit design", "Signal integrity" ], "coreResponsibilities" : "Architect hardware, Design hardware, Validate hardware, Capture schematics, Select components, Review PCB layout, Lead hardware bring-up, Debug hardware, Validate hardware functionally, Validate hardware for performance, Validate hardware for thermal resilience, Validate hardware for EMIC compliance, Collaborate with BSP teams, Collaborate with DQA teams, Collaborate with SI/PI teams, Collaborate with mechanical teams, Collaborate with software teams, Collaborate with industrial design teams, Collaborate with manufacturing teams, Translate product requirements, Create hardware specifications, Create architectural designs, Create test strategies, Optimize products for reliability, Optimize products for cost-efficiency, Optimize products for manufacturability, Diagnose hardware challenges, Conquer hardware challenges", "teamCollaboration" : "Cross-functional collaboration; BSP teams; DQA teams; SI/PI teams; Mechanical teams; Software teams; Industrial design teams; Manufacturing teams", "domainKnowledge" : "Edge AI; Surveillance systems; Enterprise storage; High-speed interfaces; Power systems; Signal integrity; EMIC design; ARM-based SoC platforms", "domainList" : [ "edge-ai", "surveillance-systems", "enterprise-storage", "high-speed-interfaces", "power-systems", "signal-integrity", "emic-design", "arm-based-soc-platforms" ], "domainSpecificKnowledge" : [ "Edge AI", "Surveillance systems", "Enterprise storage", "High-speed interfaces", "Power systems", "Signal integrity", "EMIC design", "ARM-based SoC platforms" ], "toolProficiency" : [ "OrCAD Capture", "Allegro", "Oscilloscopes", "Logic analyzers", "Spectrum analyzers", "Network sniffers" ], "communicationSkills" : "Communicate complex ideas", "innovationCreativity" : "Pushing technological boundaries; Challenging the status quo; Crafting elegant solutions", "problemSolvingSkills" : "Problem-solving prowess; Analytical skills; Diagnose complex hardware challenges", "qualificationsBasic" : "3+ years hardware design, 3+ years hardware development, Bachelor's in Electrical Engineering, Master's in Electrical Engineering, Digital circuit design, Analog circuit design, Core electrical engineering principles, High-speed interface design, Signal integrity, Power supply solutions, EDA tools for schematic capture, EDA tools for PCB layout, Hardware debugging tools, Thermal management, EMIC design", "qualificationsPreferred" : "Edge AI engineering experience, Surveillance systems engineering experience, Enterprise storage solutions experience, Video processing hardware exposure, Advanced storage interfaces exposure, ARM-based SoC platforms familiarity, Peripheral ecosystems familiarity, Design for Manufacturing eye, Leveraging AI tools for hardware design, Leveraging AI tools for analysis, Leveraging AI tools for validation, Familiarity with Ubiquiti portfolio", "workSiteFlexibility" : "Onsite", "rawDescription" : "About Ubiquiti At Ubiquiti Inc., we create technology platforms for Businesses, Smart Homes, and Internet Service Providers, driven by our goal to connect everyone, everywhere. To date, Ubiquiti has shipped over 100 million devices worldwide, from ISP networking products to next generation of IT solutions. Our growth is made possible by the dedicated team of hundreds behind the scenes. From software developers and product managers to designers and strategists, Team UI is driven to achieve our common goal: Rethinking IT. At Ubiquiti, you’ll heighten your potential and broaden your horizons - all while shaping the future of connectivity. Role Summary In the Edge AI team, you'll be at the forefront of shaping the next generation of surveillance hardware. We're dedicated to pushing technological boundaries, challenging the status quo, and crafting elegant solutions that redefine what's possible. This isn't just a role; it's an invitation to build the future. Responsibilities Architect, design, and rigorously validate cutting-edge hardware for our Edge AI products, tackling everything from core motherboards to robust power systems and high-speed I/ O. Take charge of schematic capture, intelligent component selection, and meticulous PCB layout review, ensuring top-tier integrity, manufacturability, and adherence to critical signal/power requirements. Lead the charge on hardware bring-up, debugging, and comprehensive validation, covering functional tests, performance benchmarks, thermal resilience, and EMI/EMC compliance. Champion cross-functional collaboration with BSP, DQA, SI/PI, mechanical, software, industrial design, and manufacturing teams, driving products from concept to mass production. Translate complex product requirements into precise hardware specifications, robust architectural designs, and comprehensive test strategies for our Edge AI systems. Continuously optimize products for peak reliability, cost-efficiency, and seamless manufacturability, owning the hardware journey end-to-end. Diagnose and conquer complex hardware challenges, from initial development kinks to in-field anomalies, ensuring rock-solid product performance. Requirement Proven mastery in digital and analog circuit design, backed by a strong command of core electrical engineering principles. Deep expertise in high-speed interface design (PCIe, DDR, USB, XGbE, Serdes, MIPI CSI, DSI) and critical signal integrity. Hands-on experience architecting robust power supply solutions (DC-DC, VRMs) for embedded systems. Proficiency with industry-standard EDA tools for schematic capture and PCB layout (e.g., OrCAD Capture, Allegro). Strong proficiency and command of hardware debugging tools – oscilloscopes, logic analyzers, spectrum analyzers, network sniffers – you know your way around a lab. Solid understanding of thermal management and EMI/EMC design for compliance. A Bachelor’s or Master’s degree in Electrical Engineering or a related technical field. 3+ years of hands-on, impactful hardware design and development experience. Exceptional problem-solving prowess, razor-sharp analytical skills, and the ability to communicate complex ideas with clarity and conviction. Preferred Qualifications Direct experience in engineering Edge AI, surveillance systems, or enterprise storage solutions. Exposure to video processing hardware or advanced storage interfaces (SATA/NVMe). Familiarity with ARM-based SoC platforms and their intricate peripheral ecosystems. A keen eye for Design for Manufacturing (DFM). You’re a self-starter with a strong ownership mentality, thriving in a fast-paced, ambiguous environment where you can truly make an impact. A proactive mindset in leveraging AI-powered tools and methodologies to enhance hardware design, analysis, and validation efficiency. You're already familiar with the Ubiquiti portfolio and what makes us tick.", "summaryDescription" : "Hardware Engineer (Edge AI) at Ubiquiti. Skills: Hardware design, Edge AI hardware, Circuit design, Signal integrity. Architect hardware. Design hardware", "postedDate" : "2026-06-14T19:11:18.402", "createdAt" : "2026-06-14T19:11:18.402", "lastUpdated" : "2026-06-15T22:44:02.570", "ingestTimestamp" : "2026-06-14T19:11:18.402", "mongoId" : "6a2c7dc574d8ee00a0950bf0", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Schematic capture", "PCB layout", "Power supply design", "Signal integrity analysis", "EMIC compliance testing", "Thermal analysis", "Problem-solving", "Analytical skills", "Ownership mentality", "Hardware design", "Edge AI hardware", "Circuit design", "Signal integrity", "Component selection", "PCB layout review", "Hardware bring-up", "Hardware debugging", "Hardware validation", "Functional tests", "Performance benchmarks", "Thermal resilience", "EMIC compliance", "Product requirements translation", "Hardware specifications", "Architectural designs", "Test strategies", "Product optimization", "Reliability optimization", "Cost-efficiency optimization", "Manufacturability optimization", "Hardware challenges diagnosis", "Product performance", "Edge AI", "Surveillance systems", "Enterprise storage", "High-speed interfaces", "Power systems", "EMIC design", "ARM-based SoC platforms", "OrCAD Capture", "Allegro", "Oscilloscopes", "Logic analyzers", "Spectrum analyzers", "Network sniffers" ], "skillCount" : 45, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "_score" : 1436.7906, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2d58aa74d8ee00a0b864d8", "title" : "AI Product Owner (m/f/d)", "company" : "Merantix Momentum", "industry" : "Technology", "salary" : { "min" : 70000.0, "max" : 95000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level AI Product Owner in Berlin, Germany, adjusted for the technology industry and company size." }, "location" : "Berlin, DE", "locations" : [ "Berlin", "DE" ], "timestamp" : "2026-06-16T03:47:21.794", "fingerprint" : "c4c0d5935dbc5c784c3915a0f9163f70f19d5cf626e4324615e874ccbb04976c", "source" : "personio", "language" : "en", "applyUrl" : "https://merantix-momentum.jobs.personio.de/job/2526453", "externalId" : "2526453", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Berlin", "country" : "Germany", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "52.5173885,13.3951309" } ], "locationText" : "Berlin, Germany", "technicalSkills" : "Machine Learning, AI", "professionalSkills" : [ "Business acumen", "System design", "Requirements engineering", "Business analytics", "Business development" ], "hardSkillsList" : [ "ML solutions", "ML governance", "ML projects", "ML applications" ], "hardSkills" : [ { "name" : "ML solutions", "level" : "intermediate" }, { "name" : "ML governance", "level" : "intermediate" }, { "name" : "ML projects", "level" : "intermediate" }, { "name" : "ML applications", "level" : "intermediate" } ], "majorSkills" : "Product ownership, AI consulting, Project management", "majorSkillsList" : [ "Product ownership", "AI consulting", "Project management" ], "coreResponsibilities" : "Ensure smooth execution of AI/ML projects, Deliver maximum value to clients, Accountable for high-quality deliverables, Identify and mitigate risks, Manage implementation partners, Manage communication with diverse stakeholders, Understand client processes and pain points, Map client pain points into ML problems, Conceptualize user-centric ML solutions, Own and steer roadmaps/backlogs, Identify, document, and manage requirements, Formulate and test against acceptance criteria, Support clients with AI adoption, Ideate use cases, Engineer usability, Manage production roll-out, Manage AI product lifecycle, Analyze client business, Discover underlying problems/patterns, Enable data-driven decision-making, Create wireframes and prototypes, Sketch solution architectures, Contribute ideas to shape internal processes, Shape internal offering, Take ownership for specific topics, Represent Merantix brand", "teamCollaboration" : "Interacting with developers; Interacting with customers; Interacting with business teams; Interacting with stakeholders", "projectManagementSkills" : [ "Project management", "Roadmap planning", "Backlog management" ], "domainKnowledge" : "AI; Machine Learning; ML applications; AI governance; AI adoption; AI product lifecycle; AI Ethics", "domainList" : [ "ai", "machine-learning", "ml-applications", "ai-governance", "ai-adoption", "ai-product-lifecycle", "ai-ethics" ], "domainSpecificKnowledge" : [ "AI", "Machine Learning", "ML applications", "AI governance", "AI adoption", "AI product lifecycle", "AI Ethics" ], "toolProficiency" : [ "Wireframes", "Prototypes" ], "communicationSkills" : "Client communication", "documentationSkills" : "Document requirements", "continuousLearning" : "Annual learning budget; Attend conferences; Purchase educational resources; Weekly AI events; Monthly AI events", "innovationCreativity" : "Applied research; Prototype development", "problemSolvingSkills" : "Investigative problems", "outcomesObjectives" : "Build scalable solutions; Shape custom-tailored ML solutions; Deliver lasting positive impact", "qualificationsBasic" : "Degree in Engineering, Data Science, Business Analytics or similar, First working experience in tech corporate, tech startup or management consultancy, Fluent English and German language skills", "qualificationsPreferred" : "Relevant industry experience (manufacturing, healthcare, pharma, or public sector)", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "What we do Merantix Momentum is a Berlin-based AI service provider focusing on accelerating AI adoption through B2B solutions and applied research. We bring together state-of-the art machine learning know-how with domain-specific expertise from industry partners to accompany our customers through successful AI implementation. We work across domains, including manufacturing, pharmaceutical, healthcare, public sector and many more. Our start-up DNA defines the way we drive fast and sustainable value creation, embracing a culture of rapid iteration to build scalable solutions. Please upload a motivation letter with your application explaining why you would like to join our team. Your role Your role as AI Product Owner is the direct link between our engineering team and our customers. This is an extremely versatile position - you will be interacting with developers, customers, business teams and other stakeholders on a daily basis. Therefore, it is key for you to have well-rounded business acumen as well as good background knowledge about AI, Machine Learning, and its technical implementation. In order to build and cultivate outstanding relationships with our clients, we need a person who is passionate about immersing themselves in versatile problem-settings to shape custom-tailored ML solutions that have a lasting positive impact. Next to steering projects, Project Managers at Momentum are hands-on contributors to the solution development process, e.g. by building prototypes, facilitating user discovery workshops, or providing guidance on AI governance. If that resonates with You, here is what your role at Merantix Momentum will look like: Project Management. Ensure smooth execution of complex AI/ML projects to deliver maximum value to clients while mindfully taking into account technical and organizational constraints. Hold the project team accountable for high-quality deliverables, identify and mitigate risks. Manage implementation partners and communication with diverse stakeholders, from budget holders to users. Product Ownership. Understand processes and pain points of clients, mapping them into ML problems and conceptualizing user-centric ML solutions with validated business value. Own & steer the roadmaps / backlog for implementation projects as well as for systems in production. Requirements Engineering. Identify, document and manage (non)functional requirements along a ML project, continuously thinking from a user perspective. Formulate and test against acceptance criteria, ensuring that we ship high-quality solutions and deliverables. AI Consulting & Business Analytics. Support our clients with AI adoption at every stage: From use case ideation and usability engineering to production roll-out and AI product lifecycle management. Analyse the client’s business to discover underlying problems/patterns and enable data-driven decision-making. System Design. Create wireframes and prototypes using SOTA tooling, sketch solution architectures with a focus on value creation for clients. Business Development. Contribute your ideas to strategically shape our internal processes and offering with a focus on delivery excellence. Take ownership for specific topics, tools, or processes, and represent the Merantix brand. Your profile The ideal candidate is enthusiastic about ML development, a strong team player, feels comfortable shifting between tech & business and always up for a challenge. We are looking for passionate, capable, visionary, and pragmatic talents with proven track records of personal, academic, and professional achievements. Our hierarchy is flat and communication direct, which means that we operate and learn fast, as a team. You would be a great fit if you have: Team player. Strong commitment to the team and Merantix vision, and a positive attitude represented by a hands-on, collaborative approach. Drive. Strong personal motivation and sense of ownership, shown in organizational and multitasking skills with the ability to prioritize appropriately and effectively investigative problems using data. Domain Knowledge. Deep understanding of ML applications paired with relevant industry experience (manufacturing, healthcare, pharma, or public sector are a plus!) Entrepreneurial Mindset. Creative, highly motivated and hands-on no matter the task. You love what you do (and own it)! Client Centricity. You have experience working with and for clients, engaging with them and managing exchanges whilst steering projects with them. Track Record. Degree in Engineering, Data Science, Business Analytics or similar and first working experience in tech corporate, tech startup or management consultancy. Language skills. Ability to explore use cases, manage ML projects and own client communication fluently in both English and German. What we offer Engaging Topics: We work at the cutting edge of real-world AI solution delivery, offering unique insights into applied machine learning research and development. Shared passion for excellence: Every member of our team is motivated by doing great work, meaning you have the chance to collaborate with highly talented engineers and entrepreneurs who are experts in their field. International Team: We are a dynamic and international team with over 16 nationalities represented at Momentum. We offer Visa Sponsorship. Learning and Development: We provide an annual learning and development budget for attending conferences or purchasing educational resources to further develop our employees’ skills. We also hold weekly and monthly events around AI innovation and implementation. Dynamic and open Working Culture: We have a very flat hierarchy, open 360° feedback, and flexibility in our work-from-home policy as well as working hours. AI Ethics: We are committed to developing ethical AI software and actively foster open discussions on this topic within our team. One of Europe’s most dynamic AI ecosystems : As part of the Merantix Group, we benefit from being at the heart of the AI Campus in Berlin, which brings together an amazing community from start-ups to investors, established organizations to researchers, and many more. Hardware allowance and supplementary work equipment: We give you support to have all the equipment you need to thrive in the job. Employee benefits: We offer a monthly allowance per employee that can be allocated as desired to one of the following: Mobility & transportation (Navit), sports (Urban Sports Club) or groceries (Edenred)", "summaryDescription" : "AI Product Owner (m/f/d) at Merantix Momentum. Skills: Product ownership, AI consulting, Project management. Ensure smooth execution of AI/ML projects. Deliver maximum value to clients", "createdAt" : "2026-06-14T21:48:31.439", "lastUpdated" : "2026-06-16T03:47:21.794", "ingestTimestamp" : "2026-06-14T21:48:31.439", "mongoId" : "6a2d58aa74d8ee00a0b864d8", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "ML solutions", "ML governance", "ML projects", "ML applications", "Product ownership", "AI consulting", "Project management", "Business acumen", "System design", "Requirements engineering", "Business analytics", "Business development", "Roadmap planning", "Backlog management", "AI", "Machine Learning", "AI governance", "AI adoption", "AI product lifecycle", "AI Ethics", "Wireframes", "Prototypes" ], "skillCount" : 22, "jobCategory" : "product", "jobSubcategory" : "product_management", "seniorityLevel" : "Mid", "dataQualityScore" : 0.6666667, "_score" : 1418.4349, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c8b6874d8ee00a0972c27", "title" : "Principal Developer Advocate, AI", "company" : "Temporal", "industry" : "Developer Relations", "salary" : { "min" : 260000.0, "max" : 325000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "United States", "locations" : [ "United States" ], "timestamp" : "2026-06-15T08:08:32.470", "fingerprint" : "653813c1c67a3e958a1d82204cfa69ce584bcaee6654e572df4b2d65d9a9b983", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/temporal/8ff8a510-5468-44c2-8f48-d46acb39d76f/application", "externalId" : "8ff8a510-5468-44c2-8f48-d46acb39d76f", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 8, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "AI, Python, LLMs, Agents, Retrieval-augmented generation, Function calling, Inference, AI agent frameworks, Model-provider APIs", "professionalSkills" : [ "Technical content creation", "Community building", "Ecosystem engagement", "Roadmap contribution", "Strategy contribution", "Developer experience", "Go-to-market strategy" ], "hardSkillsList" : [ "AI production", "System operation", "Technical writing", "Technical talks" ], "softSkillsList" : [ "Mentoring" ], "hardSkills" : [ { "name" : "AI production", "level" : "intermediate" }, { "name" : "System operation", "level" : "intermediate" }, { "name" : "Technical writing", "level" : "intermediate" }, { "name" : "Technical talks", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Mentoring" } ], "majorSkills" : "AI Engineering, Developer Advocacy, Production AI, Agentic Systems", "majorSkillsList" : [ "AI Engineering", "Developer Advocacy", "Production AI", "Agentic Systems" ], "coreResponsibilities" : "Represent Temporal at conferences, Deliver talks on reliability, Deliver talks on state, Deliver talks on orchestration, Create content for AI engineers, Create content for backend developers, Demonstrate Temporal's role, Forge ties with AI framework maintainers, Forge ties with open-source communities, Forge ties with ecosystem partners, Gather feedback from AI engineers, Channel feedback to Product, Channel feedback to Engineering, Shape the roadmap, Sharpen developer experience, Align content with releases, Align engagement with releases, Align content with go-to-market, Align engagement with go-to-market, Mentor peers, Raise bar for AI skills", "teamCollaboration" : "Product; Engineering; Marketing; Sales", "projectManagementSkills" : [ "Roadmap planning" ], "domainKnowledge" : "Reliability; State; Orchestration; Agentic systems; AI systems; Production AI; AI research; AI tooling; Distributed systems", "domainList" : [ "reliability", "state", "orchestration", "agentic-systems", "ai-systems", "production-ai", "ai-research", "ai-tooling", "distributed-systems" ], "domainSpecificKnowledge" : [ "Reliability", "State", "Orchestration", "Agentic systems", "AI systems", "Production AI", "AI research", "AI tooling", "Distributed systems" ], "toolProficiency" : [ "AI frameworks", "Model provider APIs" ], "communicationSkills" : "Technical content; Compelling talks; Technical writing", "documentationSkills" : "Blogs; Tutorials; Guides", "continuousLearning" : "Evolving AI research; Evolving AI tooling", "problemSolvingSkills" : "Troubleshooting AI systems", "outcomesObjectives" : "Strengthen Temporal's position", "qualificationsBasic" : "8+ years software engineer, AI engineer focus, AI products to production, Build, evaluate, deploy, operate systems, Visibility in AI community, Compelling technical talks, Compelling technical writing, Hands-on depth AI tools, LLMs and agents, Retrieval-augmented generation, Function calling, Evaluation and observability, Inference in real systems, AI agent frameworks, Major model-provider APIs, Proficient in Python, Polyglots welcome", "qualificationsPreferred" : "Public platform, Experience carrying pager, Building AI agent frameworks, Contributing to AI agent frameworks, Familiarity with Temporal, Building AI products with Temporal, Building AI features with Temporal, Open-source contributions AI, Open-source contributions distributed systems, Stewardship AI, Stewardship distributed systems, Prior Developer Relations experience, Prior Developer Advocacy experience", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "Summary: The Principal Developer Advocate, AI is a senior individual-contributor practitioner who serves as a crucial voice for Temporal in the AI engineering community. You’ll earn developers’ trust in this emerging discipline by shipping standout technical content, building real relationships across the AI ecosystem, and sharing what you’ve learned from your hard-won perspective as someone who has built and operated production AI systems. The world's best AI products are built on Temporal. We give developers the primitives to build reliable, long-running, stateful AI applications, and scale them faster than ever before. In this role, you'll help bring Temporal to the next generation of AI engineers. As a senior individual contributor, you'll be a leader in the developer community and within our company, contributing to our AI strategy and roadmap. What You’ll Do: - Represent Temporal at industry conferences, meetups, and workshops, delivering compelling talks on reliability, state, and orchestration in agentic systems - Create influential, high-quality content for AI engineers and backend developers (blogs, tutorials, guides, talks, and videos) that demonstrates Temporal's essential role in reliable AI systems - Forge strong ties with AI framework maintainers, open-source communities, and ecosystem partners to strengthen Temporal's position as critical infrastructure for AI - Act as a key community voice, gathering feedback from AI engineers and channeling it back to Product and Engineering to shape the roadmap and sharpen Temporal's developer experience - Work closely with Product, Engineering, Marketing, and Sales to align content and engagement with new releases and our go-to-market strategy in the AI space - Informally mentor peers and raise the bar for your team's collective AI engineering skills What You’ll Bring: - 8+ years as a software engineer, most recently as an AI engineer with a clear focus on getting AI into production - A track record of shipping AI products or features to production. You understand the discipline of building, evaluating, deploying, and operating real systems, not just prototyping - Existing, demonstrable visibility in the AI engineering community. What that looks like could vary: a popular blog, YouTube channel, podcast, widely used open-source project, social media following, or your role as a frequent conference speaker - A track record of compelling technical talks and writing which clearly establishes your credibility in the eyes of an aspiring AI engineer - Hands-on depth with the tools and patterns of production AI: LLMs and agents, retrieval-augmented generation, function calling, evaluation and observability, and inference in real systems, including working knowledge of AI agent frameworks and the major model-provider APIs - You’re likely proficient in Python and/or TypeScript; polyglots who pick up languages easily are welcome - Curiosity that keeps you on top of rapidly evolving AI research and tooling Nice to Have: - A strong public platform. The kind that makes you recognizable online or when attending a conference - Experience carrying the pager for production AI systems - Experience building or contributing to AI agent frameworks or toolkits - Familiarity with Temporal. Even better: experience building AI products or features using Temporal - Open-source contributions or stewardship in the AI or distributed systems communities - Prior experience in a Developer Relations or Developer Advocacy role Compensation: - The estimated pay range for this role is $260,000 - $325,000. - Additionally, this role is eligible to participate in Temporal's equity plan.", "summaryDescription" : "Principal Developer Advocate, AI at Temporal. Skills: AI Engineering, Developer Advocacy, Production AI, Agentic Systems. Represent Temporal at conferences. 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Databricks, Fivetran, Airflow, Delta Lake, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, GCP, Azure, SageMaker, Vertex AI, ML Studio, Vector databases, NLP", "professionalSkills" : [ "Data engineering", "ML engineering", "Data science", "Quantitative analysis", "Analytics engineering", "Market intelligence", "Product automation", "System design", "MLOps" ], "hardSkillsList" : [ "Predictive modeling", "Anomaly detection", "Optimization algorithms", "Statistical rigor", "Model validation", "Feature engineering", "Experimental design", "Generative AI", "LLM development", "RAG systems", "Agentic workflows", "NLP solutions", "AI productization", "Evaluation frameworks", "Cost-efficient scaling", "Rapid prototyping", "AI roadmap", "ML roadmap", "Prompt evaluation" ], "softSkillsList" : [ "Leadership", "Mentoring" ], "hardSkills" : [ { "name" : "Predictive modeling", "level" : "intermediate" }, { "name" : "Anomaly detection", "level" : "intermediate" }, { "name" : "Optimization algorithms", "level" : "intermediate" }, { "name" : "Statistical rigor", "level" : "intermediate" }, { "name" : "Model validation", "level" : "intermediate" }, { "name" : "Feature engineering", "level" : "intermediate" }, { "name" : "Experimental design", "level" : "intermediate" }, { "name" : "Generative AI", "level" : "intermediate" }, { "name" : "LLM development", "level" : "intermediate" }, { "name" : "RAG systems", "level" : "intermediate" }, { "name" : "Agentic workflows", "level" : "intermediate" }, { "name" : "NLP solutions", "level" : "intermediate" }, { "name" : "AI productization", "level" : "intermediate" }, { "name" : "Evaluation frameworks", "level" : "intermediate" }, { "name" : "Cost-efficient scaling", "level" : "intermediate" }, { "name" : "Rapid prototyping", "level" : "intermediate" }, { "name" : "AI roadmap", "level" : "intermediate" }, { "name" : "ML roadmap", "level" : "intermediate" }, { "name" : "Prompt evaluation", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" } ], "majorSkills" : "Machine Learning, LLM Development, Data Science, MLOps", "majorSkillsList" : [ "Machine Learning", "LLM Development", "Data Science", "MLOps" ], "coreResponsibilities" : "Develop predictive models, Develop anomaly detection, Develop optimization algorithms, Oversee Data Science transition, Provide advanced analytics, Maintain model validation standards, Maintain feature engineering standards, Maintain experimental design standards, Lead LLM adoption, Build RAG systems, Build agentic workflows, Build NLP solutions, Build integrated AI features, Focus on evaluation frameworks, Focus on cost-efficient scaling, Foster fast experimentation, Build unified Data & AI group, Integrate specialists, Lead LLM feature development, Lead LLM feature deployment, Explore RAG for domain knowledge, Automate trade summarization, Develop intelligent market assistants, Drive ML roadmap, Identify competitive advantages, Provide technical mentorship, Discuss vector databases, Discuss prompt evaluation, Discuss MLOps, Translate trading requirements, Translate into AI solutions, Consolidate distributed team, Foster architectural consistency, Foster shared AI standards, Ensure data plumbing supports AI, Manage model lifecycle, Translate business problems", "teamCollaboration" : "Cross-functional expert groups; Partner with Product leaders; Partner with Business leaders", "projectManagementSkills" : [ "Roadmap development" ], "domainKnowledge" : "Energy trading; Commodity trading; Energy markets; Commodity flows", "domainList" : [ "energy-trading", "commodity-trading", "energy-markets", "commodity-flows" ], "domainSpecificKnowledge" : [ "Energy trading", "Commodity trading", "Energy markets", "Commodity flows" ], "toolProficiency" : [ "OpenAI APIs", "Anthropic APIs", "Vector stores" ], "continuousLearning" : "L&D budget; Level Up days", "innovationCreativity" : "Rapid prototyping; Fast experimentation", "problemSolvingSkills" : "Root cause analysis", "qualificationsBasic" : "5+ years experience, SQL proficiency", "qualificationsPreferred" : "PhD preferred, Cloud platform certifications", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "Founded in 2016 and headquartered in Munich, enmacc is a high growth scale-up with a diverse team of over 100 professionals. We’re passionate about energy, technology, and building something that makes a real impact. If you are looking for an entrepreneurial environment where your work directly contributes to a more sustainable and digital energy future, we invite you to submit your application below. Your mission: As the Head of Applied AI, you will lead enmacc’s transition into an AI-first trading platform. You will unify our distributed data talent into a high-performance subdepartment, spearheading a dual-track strategy: leveraging Classical Data Science for market intelligence and Modern LLM Development for product automation. You are the bridge between raw energy market data and the intelligent features that will define the future of commodity trading. Your Responsibilities 1. Data Science & Predictive ML Market Intelligence: Drive the development of predictive models, anomaly detection, and optimization algorithms tailored to the energy trading domain. Core DS Leadership: Oversee the transition of Data Science from product-specific silos into a centralized powerhouse that provides advanced analytics across the entire enmacc ecosystem. Statistical Rigor: Maintain high standards for model validation, feature engineering, and experimental design. 2. Modern AI & LLM Adoption Generative Strategy: Lead the adoption of LLMs and Generative AI. This includes building production-ready RAG (Retrieval-Augmented Generation) systems, agentic workflows, and NLP solutions for unstructured trading data (chats, news, contracts). AI Productization: Move beyond \"wrappers\" to build deeply integrated AI features that solve complex domain problems, focusing on evaluation frameworks and cost-efficient scaling. Rapid Prototyping: Foster a culture of fast experimentation with the latest AI research to keep enmacc at the cutting edge. Strategic Leadership: Build and lead a unified Data & AI group, integrating existing specialists (Data Engineering, ML Engineering, and Data Science) into a high-velocity team. AI & LLM Roadmap: Lead the development and deployment of LLM-powered features. This includes exploring RAG (Retrieval-Augmented Generation) for domain knowledge, automated trade summarization, and intelligent market assistants. Product Innovation: Drive the ML roadmap for product development, identifying where predictive modeling and NLP can create a competitive advantage in energy and commodity markets. Technical Excellence: Provide hands-on technical mentorship. You should be as comfortable discussing vector databases and prompt evaluation as you are with CI/CD for ML (MLOps). Domain Integration: Partner with Product and Business leaders to translate complex trading requirements into technical AI solutions. Your Team You will consolidate a currently distributed team to foster architectural consistency and shared AI standards: Data Engineering (from Platform) – Ensuring the data \"plumbing\" supports real-time AI. ML Engineering (from Platform) – Managing the lifecycle of models from experiment to production. Data Science (from Product) – Translating business problems into statistical and algorithmic solutions. Your profile AI & ML Expert: Proven experience in Machine Learning and, crucially, modern LLM development (e.g., working with OpenAI/Anthropic APIs, open-source models, vector stores, and agentic workflows). Technical Foundation: You understand the full stack—from data warehousing to model monitoring. You can lead \"the how\" as well as \"the what.\" Trading Interest: You are genuinely interested in the trading domain. You see the potential for AI to navigate the complexities of energy markets and commodity flows. Strategic Builder: You are excited to define the culture, tech stack, and workflows of a brand-new department from the ground up. Our offer Competitive compensation package, including 28 days of annual leave. Entrepreneurial, impact-driven culture with flat hierarchies and high autonomy. Hybrid & Workation flexibility that balances office connection with the freedom to work from home or abroad. €2,000 annual L&D budget plus 5 dedicated \"Level Up\" days to fuel your growth (for all full-time employees). Commute & Wellness support, including fully covered gym memberships and paid transportation for office days. Inclusive, international team that celebrates diversity and offers language classes to help you settle in. AI-first environment where you’ll collaborate with a dedicated AI Philosophy and cross-functional expert groups. Premium tech & workspaces, featuring top-tier Apple/Bose hardware in modern, dog-friendly offices. About enmacc enmacc is Europe’s largest over-the-counter trading platform for energy and environmental commodities. We are digitizing the world’s energy markets by replacing manual, outdated processes with speed, transparency, and liquidity. Our platform empowers a massive network of over 2,400 active traders to manage risk and accelerate the global energy transition. By providing a secure and efficient trading environment for 650+ companies, we facilitate more than 14,000 monthly requests for quotes and 8,000 monthly trades. With a traded volume exceeding 60 TWh per month, enmacc enables energy suppliers, industrial companies, and trading houses to access the liquidity they need to thrive in a shifting market.", "summaryDescription" : "Head of Applied AI (m/f/d) at enmacc. Skills: Machine Learning, LLM Development, Data Science, MLOps. Develop predictive models. 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AI innovation events; AI implementation events", "innovationCreativity" : "AI adoption; Applied machine learning research; AI innovation", "problemSolvingSkills" : "Translate complex needs; Unlock value of data", "qualificationsBasic" : "Solid understanding of AI/ML fundamentals, Solid understanding of production AI systems, Familiarity with process modeling, Familiarity with requirements engineering, Fluency in German, Fluency in English", "qualificationsPreferred" : "Knowledge of data architectures, Knowledge of cloud architectures, Experience using AWS in regulated environments, Experience using Azure in regulated environments, Experience using GCP in regulated environments, Experience with BPMN, Experience with SIPOC, Experience with User Story Mapping, Consulting skills, Stakeholder management skills", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "What we do Merantix Momentum is a Berlin-based AI startup focused on accelerating AI adoption across industries through B2B solutions and publicly funded research projects. A core pillar of our work is enabling digital transformation in domains such as healthcare and manufacturing. We act as an external machine learning department, helping public institutions and enterprises unlock the value of data and AI. Our approach combines state-of-the-art machine learning with rapid iteration and a deep understanding of regulatory, administrative, and operational frameworks. We build scalable, production-ready solutions that align with compliance requirements, data protection standards, and real-world institutional constraints. The Senior AI Solutions Architect role is a unique opportunity to shape the future of AI by bridging cutting-edge machine learning with real-world administrative and policy-driven challenges. You’ll design and deliver end-to-end AI solutions, act as a strategic advisor, and translate complex regulatory and operational needs into scalable systems. This role sits at the intersection of innovation, governance, and execution, driving digital transformation in one of the most impactful areas of society. Your role Design and deliver end-to-end AI solutions for clients—architecting scalable, compliant, and production-ready data pipelines and AI systems tailored to administrative processes Develop high-level technical architectures aligned with IT landscapes, ensuring integration with legacy systems and adherence to German and EU regulations (e.g. data protection and security standards) Support pre-sales by evaluating AI use cases, contributing to proposals, and ensuring compliance with procurement requirements Serve as a domain expert in client engagements, understanding governance structures, and administrative workflows to deliver measurable impact Bridge strategy and execution by steering AI initiatives in collaboration with stakeholders, aligning solutions with legal frameworks, funding structures, and operational realities Collaborate with research and engineering teams Drive thought leadership in AI through engagement with policymakers, participation in initiatives, and contribution to discussions around digital sovereignty and ethical AI Your profile You’re a confident, technically fluent professional who thrives at the intersection of AI/ML, and enterprise IT. You have hands-on experience working with and understand how to translate regulatory and operational challenges into impactful AI-driven solutions. You combine domain expertise with strong communication skills and are comfortable navigating both technical and policy-driven discussions—whether with IT departments, administrative leadership, or external stakeholders. You would be a great fit if you have: A degree in Computer Science or a related field Solid understanding of AI/ML fundamentals and production AI systems Knowledge of data and cloud architectures, nice to have experience using platforms like AWS, Azure, or GCP in regulated environments Familiarity with process modeling and requirements engineering (e.g. BPMN, SIPOC, User Story Mapping) Strong consulting and stakeholder management skills, with the ability to navigate complex, multi-stakeholder environments Fluency in both German and English What we offer Engaging Topics and Excellence: We offer unique insights into applied machine learning research and development, working with a group of highly talented engineers and entrepreneurs. International Team: We are a dynamic and international team. We offer Visa Sponsorship. Learning and Development: We provide an annual learning and development budget for attending conferences or purchasing educational resources to further develop our employees’ skills. We also hold weekly and monthly events around AI innovation and implementation. Dynamic and open Working Culture: We have a very flat hierarchy, open 360° feedback, and flexibility in our work-from-home policy as well as working hours. AI Ethics: We are committed to developing ethical AI software and actively foster open discussions on this topic within our team. Brand new office space: Bright and open office situated on the AI Campus in Berlin; Sabbatical leave, weekly team lunch, monthly and quarterly team events Hardware allowance: We give you support to have all the equipment you would need to thrive in your job Employee benefits: We offer a monthly allowance per employee that can be allocated as desired to one of the following: Mobility & transportation (NAVIT), sports (Urban Sports Club), or groceries (Edenred).", "summaryDescription" : "Senior AI Solution Architect (m/f/d) at Merantix Momentum. 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Core team ecosystem", "domainKnowledge" : "Supply chain risks; Supply chain resilience; Supply chain transparency; Sustainable practices; Global supply chains", "domainList" : [ "supply-chain-risks", "supply-chain-resilience", "supply-chain-transparency", "sustainable-practices", "global-supply-chains" ], "domainSpecificKnowledge" : [ "Supply chain risks", "Supply chain resilience", "Supply chain transparency", "Sustainable practices", "Global supply chains" ], "toolProficiency" : [ "Claude", "Gemini", "PowerShell" ], "continuousLearning" : "Personal growth plan; Soft skills training", "innovationCreativity" : "Build automations; Optimize workflows", "problemSolvingSkills" : "Troubleshooting capability", "outcomesObjectives" : "Achieve full operational autonomy; Independently deliver work; Keep department running smoothly", "qualificationsBasic" : "Ongoing studies in relevant departments, Regular access to Vienna office, Basic understanding of hardware, Basic understanding of software applications, Basic understanding of operating systems, Basic understanding of networking concepts, Troubleshooting capability", "qualificationsPreferred" : "Personal experience experimenting with AI tools, Interest in scripting, Interest in operational automation concepts, Basic familiarity navigating Linux, Interest in learning MDMs, Interest in security fundamentals", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "About Prewave Make a Real Difference At Prewave, we are dedicated to making a positive impact on the world. Our innovative AI solutions help businesses identify and predict global supply chain risks. Our aim is to make supply chains more resilient, transparent and sustainable. By doing this we help companies to ensure fair working conditions, eliminate child labour, reduce waste and promote sustainable practices across global supply chains. Trusted by Global Industry Leaders Prewave proudly partners with industry leaders such as BMW, Kärcher, Hilti, PwC, and Porsche. Our supply chain superintelligence helps navigate complex supply chain challenges, ensuring operational integrity and enhancing market leadership. Your mission We are looking for an IT & AI Operations Intern (f/m/d) to join our team. Your main tasks will be: Support the day-to-day operations of the newly renamed IT and AI Operations department to maintain overall business continuity. Assist in managing and troubleshooting fundamental corporate systems, including hardware, software applications, operating systems (Windows/Mac), and basic networking concepts. Collaborate closely with senior team members to handle routine IT & AI Operations’ operational tasks and integrate efficiently into the core team ecosystem. Actively explore, learn, and creatively apply Artificial Intelligence tools to build automations and optimize existing workflows within the department. Work towards achieving full operational autonomy over a 6-month period, ensuring you can independently deliver work and keep the department running smoothly Your profile Must-haves: Ongoing studies in relevant departments as this role is tailored for those in a learning phase. Regular access and a strong commitment to working directly from our Vienna office. Being highly sociable, talkative, friendly, eloquent, and comfortable asking questions. Basic understanding of hardware, software applications, operating systems (Windows/Mac), and networking concepts. Strong troubleshooting capability driven by an eager, active, and growth-oriented learning aptitude. Bonus points for: Personal experience experimenting with, building, or creatively applying AI tools in your daily or academic life (e.g. Claude or Gemini). An interest in scripting or operational automation concepts (e.g., PowerShell). Basic familiarity or comfort navigating Linux operating systems. Interest in learning about Device Management Systems (MDMs) or security fundamentals. What we offer you Competitive Compensation and Benefits: We recognise and reward talent. You'll receive a competitive compensation package of minimum EUR 1,400 gross monthly based on collective agreement, which is tailored to your qualifications, experience, and the role. Inclusive and Supportive Work Environment: Join a dynamic team in a welcoming and inclusive atmosphere. We celebrate diversity and are committed to fostering a workplace where all backgrounds, identities, and experiences are valued. Your voice is important here. Work-Life Balance: Your well-being matters. Enjoy flexible working hours and options for working from home to promote a healthy balance between your professional and personal life. What our employees love: Celebrate Your Birthday: Enjoy an extra vacation day to make your birthday special. Health and Wellness Initiatives: Benefit from our Eversports partnership, mental health support, shiatsu sessions, and regular health check-ups. Training and Development: Access company-wide German and soft skills training and work with your manager on your personal growth plan. Engaging Team Events: Join us for cheese tastings, ping-pong tournaments, company dinners, seasonal celebrations, and more. Office Snacks and Fruits: Stay energised with a variety of snacks and fresh fruits available in the office. Your Device of Choice: Windows, MacOS, or Linux – pick your preferred setup.", "summaryDescription" : "IT & AI Operations Intern (f/m/d) at Prewave. Skills: AI Operations, IT Operations. Support day-to-day operations. Maintain business continuity", "createdAt" : "2026-06-14T01:41:48.122", "lastUpdated" : "2026-06-15T08:51:31.315", "ingestTimestamp" : "2026-06-14T01:41:48.122", "mongoId" : "6a2c70f374d8ee00a092d037", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Hardware troubleshooting", "Software troubleshooting", "Operating system troubleshooting", "Network troubleshooting", "Sociable", "Talkative", "Friendly", "Eloquent", "AI Operations", "IT Operations", "Business continuity", "Operational tasks", "Supply chain risks", "Supply chain resilience", "Supply chain transparency", "Sustainable practices", "Global supply chains", "Claude", "Gemini", "PowerShell" ], "skillCount" : 20, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "_score" : 1357.7228, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2a65ff74d8ee00a062b64e", "title" : "Applied Scientist, Edge AI", "company" : "Evi Technologies Limited", "industry" : "Machine Learning Science, Applied Science, alexa and amazon devices", "salary" : { "min" : 95000.0, "max" : 140000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Senior Applied Scientist in the Technology industry in Cambridge, United Kingdom, adjusted for seniority and company size." }, "location" : "Cambridge, England, GBR", "locations" : [ "Cambridge, England, GBR" ], "timestamp" : "2026-06-15T11:02:29.011", "fingerprint" : "7fd314616b867adfefe32004a517764e5a8122da6d633467c69720c530967f9d", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10442934/apply", "externalId" : "465c73e0-0b56-4b75-b8da-85ceec76adcd", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Cambridge", "state" : "England", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "52.1975846,0.1391537" } ], "locationText" : "Cambridge, England, United Kingdom", "employmentType" : "FULL_TIME", "remoteFriendly" : false, "workSiteFlexibility" : "onsite", "rawDescription" : "Amazon Devices is an inventive research and development company that designs and engineers high-profile devices like the Kindle family of products, Fire Tablets, Fire TV, Health & Wellness, Amazon Echo, and Astro products. This is an exciting opportunity to bring generative AI to Amazon's consumer products, both on-device at the edge and in the cloud. Our compression platform delivers 20x to 100x neural network compression, but using it well still takes weeks of hands-on learning and expert intuition. The Edge AI Model Studio team exists to change that. We become the expert users so partner teams don't have to: we turn compression science into reliable, production workflows, and we package the results into a library of compression-ready student architectures that partners can run on their own. Our north star is simple. Training-to-deployment should feel like pushing a button, not a month-long science project. We are looking for an Applied Scientist to join Model Studio and help compress the next generation of models for edge and cloud deployment across modalities, including large language models, vision-language models, speech and audio models, and omni models that reason jointly over text, audio, and video. You will apply and extend state-of-the-art compression recipes to real models, define the benchmarks and evaluation methodology that make trade-offs explicit, and build the reference implementations that let other teams deploy compressed models without our help. You will work backwards from deployment constraints such as memory, latency, throughput, power, and cost, which differ across edge and cloud targets, partnering closely with fellow scientists, platform and compiler engineers, hardware architects, and product teams. The role sits on two frontiers at once. Compressing a model effectively and healing it back to quality means staying current not just with the latest compression techniques, but with the rapidly evolving model architectures themselves, and understanding deeply how each one works inside. You will take ownership of project-level delivery, apply advanced compression across a wide range of real models, and have room to grow your scope and technical influence. Key job responsibilities - Apply and extend compression recipes (knowledge distillation, structured pruning, and post-training and quantization-aware quantization including low-bit and mixed-precision) to assigned models, achieving 20x to 100x compression while preserving model quality. - Design and run healing recipes (fine-tuning and distillation that recover accuracy lost to compression), iterating on data mixes, objectives, and training settings until the compressed model meets its quality bar. - Track emerging model architectures and dissect how they work internally, so you can choose where to compress, anticipate where accuracy will break, and design recovery strategies grounded in the model's actual structure. - Build a library of compression-ready model entries: reference implementations, compression recipes, model cards, and benchmark results that partner teams can run self-service to produce deployment-ready artifacts for edge and cloud targets. - Define the datasets, benchmarks, and KPIs that matter for your models, and build evaluation methodology that makes accuracy, latency, memory, and cost trade-offs explicit. - Run fast feasibility gates on new model families and modalities before committing to long efforts, and pivot early when a candidate does not clear the bar. - Capture platform friction as high-signal feedback: minimal reproductions and tracked fix requests that help platform and compression-science partners root-cause issues, so partner teams never rediscover the same blockers. - Write reproducible, testable, well-documented code that meets the SDE I bar, so your recipes and results can be reproduced and built on by others. - Collaborate with Applied Scientists, platform and compiler engineers, hardware architects, and partner teams; mentor interns and help newer teammates ramp up. - Where appropriate and not precluded by business considerations, publish and present on Amazon's behalf at top ML venues such as NeurIPS, ICLR, and MLSys. A day in the life You pick up a vision-language model whose vision tower needs to fit tight memory, latency, and cost budgets for deployment. You configure a quantization-aware training run at the team's target compression ratio, then check the compressed checkpoint against a visual reasoning benchmark and find it recovers only part of the baseline accuracy. You design a healing run to close the gap, tuning the data mix and training objective to fine-tune the compressed model back toward the teacher's quality. The next checkpoint clears most of the gap but still lands short, so rather than assume the recipe is at fault, you dig into the evaluation harness and discover a benchmark filter is misaligned, deflating the score. You fix the filter, re-run, and confirm the healed model lands where the science predicts. You then package the work as a reusable model entry (recipe, model card, benchmark numbers, and a reference implementation a partner team can run on their own) and file a minimal reproduction of the harness bug so no one rediscovers it. A typical week mixes hands-on compression and evaluation with design discussions alongside fellow scientists and platform engineers. You run a fast feasibility gate on a new model family before committing to a long effort, profile a compressed model to confirm a real throughput gain, and turn a recurring friction point into a reusable pattern. You work in a small, fast-moving team where every recipe you harden compounds across future models and every partner you unblock ships faster. About the team We compress frontier models 20x to 100x and put them in the hands of millions of customers, everywhere from your pocket to the cloud: the device in your hand, the Echo on your counter, and the services behind them. The models the industry shipped last month, we are shrinking this month, across language, vision, speech, and omni. That is the job: take the best models in the world and make them small enough, fast enough, and cheap enough to run everywhere, without giving up the intelligence that makes them worth running. Edge AI Model Studio is the team that makes it real. We are the expert users of a compression platform that most of Amazon cannot yet wield, and our mission is to change that, turning weeks of expert intuition into recipes anyone can run. We are small, we move fast, and we own our work end to end: a result counts only when it ships with a recipe, benchmarks, and an artifact a partner team can run without us. Every recipe we crack compounds across every model that follows. If you want your science in real products at real scale, and you want to put the frontier of generative AI in the hands of millions of customers, come build it with us. Basic Qualifications: - Master's degree, or a PhD and experience in CS, CE, ML or related field - Experience programming in Java, C++, Python or related language - Experience in patents or publications at top-tier peer-reviewed conferences or journals - Experience in state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning Preferred Qualifications: - Experience with multimodal and omni models: vision-language models, audio-language or speech models, or omni architectures that jointly process text, audio, and video. - Experience with neural network compression techniques (quantization, knowledge distillation, structured pruning, low-rank factorization) for resource-constrained deployment. - Familiarity with mixed-precision training and inference (FP16, BF16, FP8, INT8, INT4) and low-bit quantization. - Experience with edge deployment, model compilation, or inference optimization, and an understanding of hardware-aware trade-offs. - Experience with large-scale ML systems, including profiling, debugging, and reasoning about system performance. 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" : "Applied Scientist, Edge AI at Evi Technologies Limited", "postedDate" : "2026-06-13T18:50:05.049", "createdAt" : "2026-06-13T18:50:05.049", "lastUpdated" : "2026-06-15T11:02:29.011", "ingestTimestamp" : "2026-06-13T18:50:05.049", "mongoId" : "6a2a65ff74d8ee00a062b64e", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10442934/apply", "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.7777778, "_score" : 1311.6866, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2d58aa74d8ee00a0b864dc", "title" : "Senior AI Full Stack Engineer (m/f/d)", "company" : "Merantix Momentum", "industry" : "Technology", "salary" : { "min" : 75000.0, "max" : 105000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior AI Full Stack Engineer in Berlin, Germany, adjusted for the technology industry and company size." }, "location" : "Berlin, DE", "locations" : [ "Berlin", "DE" ], "timestamp" : "2026-06-16T04:38:59.941", "fingerprint" : "74dd3af0e8de72f0df831c3bcee2fa5934e35793ba2f8582e2d7e1b9153a69fb", "source" : "personio", "language" : "en", "applyUrl" : "https://merantix-momentum.jobs.personio.de/job/2633307", "externalId" : "2633307", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Berlin", "country" : "Germany", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "52.5173885,13.3951309" } ], "locationText" : "Berlin, Germany", "employmentType" : "FULL_TIME", "experienceMinYears" : 3, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Python, TypeScript, ReactJS, HTML5, CSS3, REST, GraphQL, SQL, PostgreSQL, MongoDB, BigTable, AWS, GCP, Azure, Docker, Kubernetes", "professionalSkills" : [ "System design", "Architecture decisions" ], "hardSkillsList" : [ "Full stack development", "API design", "Database management", "Cloud infrastructure", "Containerization" ], "hardSkills" : [ { "name" : "Full stack development", "level" : "intermediate" }, { "name" : "API design", "level" : "intermediate" }, { "name" : "Database management", "level" : "intermediate" }, { "name" : "Cloud infrastructure", "level" : "intermediate" }, { "name" : "Containerization", "level" : "intermediate" } ], "majorSkills" : "AI, Full Stack, Web applications, APIs", "majorSkillsList" : [ "AI", "Full Stack", "Web applications", "APIs" ], "coreResponsibilities" : "Solve industry problems, Develop AI-augmented web applications, Develop AI-augmented APIs, Build data integration platforms, Build data curation platforms, Build data exploration platforms, Build data monitoring platforms, Define technical architecture, Drive technical architecture, Translate AI outputs, Build user experiences, Serve AI solutions, Mentor team members, Support team members", "teamCollaboration" : "ML engineers; Data engineers; Infrastructure engineers", "domainKnowledge" : "Machine learning; AI adoption", "domainList" : [ "machine-learning", "ai-adoption" ], "domainSpecificKnowledge" : [ "Machine learning", "AI adoption" ], "toolProficiency" : [ "Docker", "Kubernetes" ], "documentationSkills" : "Documentation", "continuousLearning" : "Learning budget; Conferences; Educational resources", "innovationCreativity" : "AI innovation", "problemSolvingSkills" : "Complex problems", "qualificationsBasic" : "3+ years full stack development, Python backend, TypeScript, ReactJS, HTML5/CSS3, REST or GraphQL APIs, SQL, NoSQL databases, Cloud infrastructure (AWS, GCP, or Azure), Containerization (Docker, Kubernetes), Shipping production systems", "qualificationsPreferred" : "Fluency in German", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "What we do Merantix Momentum is a Berlin-based AI startup focusing on accelerating AI adoption across many industries through B2B solutions, as well as publicly funded research projects. We work across several domains, including automotive, manufacturing, retail, healthcare and many more, transforming businesses as an external machine learning department. We achieve this using our core expertise in state-of-the-art machine learning combined with our culture of rapid iterations to build scalable solutions. Your role As a Senior Full Stack Engineer at Merantix Momentum (m/f7d), you take end-to-end ownership of AI-powered applications from architecture decisions to production deployment. You work at the intersection of machine learning and user-facing products, building the interfaces and systems that make AI solutions accessible, scalable, and maintainable. An AI is worth nothing without a user interface! Your role will include serving our AI solutions to users and other systems. Your main responsibilities will be: Solve complex industry problems by designing and developing production-grade, AI-augmented web applications and APIs Build and maintain platforms for integration, curation, exploration, and monitoring of data at scale Define and drive technical architecture decisions in close collaboration with ML, data, and infrastructure engineers Translate complex AI outputs into intuitive, performant user experiences Contribute to engineering culture: code reviews, documentation, and technical standards Mentor and support less experienced team members Your profile You are a great fit for our team if you bring these qualifications: 3+ years of professional experience in full stack development in a product, startup, or consulting environment Strong command of Python (backend), TypeScript, ReactJS, HTML5/CSS3 Proven experience designing and building REST or GraphQL APIs Solid understanding of SQL (e.g., PostgreSQL) and NoSQL databases (e.g., MongoDB, BigTable) Experience with cloud infrastructure (AWS, GCP, or Azure) and containerization (Docker, Kubernetes) Track record of shipping production systems, not just prototypes Fluency in English; German proficiency is a plus for client-facing work What we offer Engaging Topics and Excellence: We offer unique insights into applied machine learning research and development, working with a group of highly talented engineers and entrepreneurs. International Team: We are a dynamic and international team. We offer Visa Sponsorship. Learning and Development: We provide an annual learning and development budget for attending conferences or purchasing educational resources to further develop our employees’ skills. We also hold weekly and monthly events around AI innovation and implementation. Dynamic and open Working Culture: We have a very flat hierarchy, open 360° feedback, and flexibility in our work-from-home policy, as well as working hours. AI Ethics: We are committed to developing ethical AI software and actively foster open discussions on this topic within our team. Brand new office space: Bright and open office situated on the AI Campus in Berlin. Hardware allowance: We give you support to have all the equipment you would need to thrive in your job. Sabbatical Leave; Employee benefits: We offer a monthly allowance per employee that can be allocated as desired to one of the following: Mobility & transportation (NAVIT), sports (Urban Sports Club), or groceries (Edenred).", "summaryDescription" : "Senior AI Full Stack Engineer (m/f/d) at Merantix Momentum. Skills: AI, Full Stack, Web applications, APIs. Solve industry problems. 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Our products are now trusted by millions of users across more than 110 countries and regions worldwide. Building on this trust, we continue expanding our presence and bringing our innovations to more markets around the globe. Reolink remains committed to delivering advanced, reliable, and user‑centric solutions that empower people to protect what matters most. Job Responsibilities Assist in developing and optimizing AI / machine learning models for real-world applications Train, evaluate, and improve model performance using structured datasets Support experimentation and implementation of deep learning techniques (e. g. CV, NLP) Collaborate with engineering teams to integrate AI models into products Stay updated with latest AI/ML developments and contribute ideas to projects Job Requirements Bachelor’s degree in Computer Science, Mathematics, Engineering, or related field (Master’s is a plus) Strong foundation in machine learning, data structures, and algorithms Familiarity with deep learning frameworks (e. g. TensorFlow or PyTorch) Basic understanding of computer vision or NLP concepts Strong problem-solving skills and ability to learn independently Good teamwork and communication skills Nice to Have Exposure to Transformers, Vision Transformers (ViT), or multimodal models (VLMs) Experience with AI/ML projects, internships, or competitions Familiarity with model training, tuning, and evaluation techniques Knowledge of deploying ML models (APIs, cloud, etc.) Why Join Us Kickstart Your Engineering Career Gain hands-on experience, with guidance from experienced engineers. Structured Learning & Mentorship Learn best practices Regional Exposure. Collaborate with local and regional teams, gaining valuable experience working in a cross-border environment. Growth & Career Development Clear progression path with opportunities to grow. Supportive Team Culture Work in a collaborative environment where knowledge sharing and continuous improvement are encouraged.", "summaryDescription" : "AI Algorithm Engineer (Entry-Level / Fresh Graduates) at Reolink. Skills: AI Algorithm, Machine learning, Deep learning. Develop AI models. Optimize AI models", "postedDate" : "2026-06-15T23:22:49.547", "createdAt" : "2026-06-15T23:22:49.547", "lastUpdated" : "2026-06-16T09:33:16.471", "ingestTimestamp" : "2026-06-15T23:22:49.547", "mongoId" : "6a305a74f292fd229cf5152a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "Model performance", "Structured datasets", "AI Algorithm", "Machine learning", "Deep learning", "Problem-solving", "Teamwork", "Intelligent visual technology", "Security solutions", "Computer vision", "NLP", "TensorFlow", "PyTorch" ], "skillCount" : 13, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "_score" : 1301.6691, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2cc29274d8ee00a0a06d5c", "title" : "AI Data & Automation Intern (m/f/d)", "company" : "Enpal", "industry" : "Italy Office", "salary" : { "min" : 800.0, "max" : 800.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : false }, "location" : "Milan", "locations" : [ "Milan" ], "timestamp" : "2026-06-15T09:40:36.697", "fingerprint" : "a01f04bbc42a6c84cc4a22a5d1aece47b70082e32f25aea86c87ec510b8dff57", "source" : "ashby", "language" : "it", "applyUrl" : "https://jobs.ashbyhq.com/enpal/24ebfa69-5689-49f1-bf69-f7224d6b2ff4/application", "externalId" : "24ebfa69-5689-49f1-bf69-f7224d6b2ff4", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Milan", "country" : "Italy", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "45.4641943,9.1896346" } ], "locationText" : "Milan, Italy", "employmentType" : "FULL_TIME", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "technicalSkills" : "SQL, Python, AI, Excel", "professionalSkills" : [ "Data analysis", "Workflow automation", "Database management", "Performance analysis", "Process documentation" ], "hardSkillsList" : [ "Data cleaning", "Data analysis", "Report creation", "Workflow development", "Task automation", "Database optimization", "Performance analysis" ], "softSkillsList" : [ "Analytical", "Problem solving" ], "hardSkills" : [ { "name" : "Data cleaning", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Report creation", "level" : "intermediate" }, { "name" : "Workflow development", "level" : "intermediate" }, { "name" : "Task automation", "level" : "intermediate" }, { "name" : "Database optimization", "level" : "intermediate" }, { "name" : "Performance analysis", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Analytical" }, { "name" : "Problem solving" } ], "majorSkills" : "Data analysis, Automation, AI integration", "majorSkillsList" : [ "Data analysis", "Automation", "AI integration" ], "coreResponsibilities" : "Support data collection, Support data cleaning, Support data analysis, Create dashboards, Create reports, Develop automated workflows, Integrate AI tools, Automate repetitive tasks, Support database management, Support database optimization, Analyze performance, Propose improvements, Document processes, Document automations", "teamCollaboration" : "Supply Chain Management team; Internal processes team", "domainKnowledge" : "Renewable energy; Energy transition; CRM; Sales; Operations", "domainList" : [ "renewable-energy", "energy-transition", "crm", "sales", "operations" ], "domainSpecificKnowledge" : [ "Renewable energy", "Energy transition", "CRM", "Sales", "Operations" ], "toolProficiency" : [ "Excel", "SQL", "Python" ], "documentationSkills" : "Process documentation; Automation documentation", "continuousLearning" : "Direct learning opportunities", "innovationCreativity" : "AI integration; Automation development", "problemSolvingSkills" : "Problem solving; Analytical mindset", "outcomesObjectives" : "Monitor KPI; Propose improvements", "qualificationsBasic" : "Ottima padronanza della lingua italiana, Conoscenza base di Excel, Conoscenza base di SQL, Conoscenza base di Python", "qualificationsPreferred" : "PhD preferred, Specific ML framework experience, Cloud platform certs", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Company Description Enpal è il green unicorn #1 in Europa. Fondata a Berlino nel 2017 e attiva in Italia dal 2023, Enpal conta oggi oltre 100.000 clienti soddisfatti. La missione di Enpal è diventare il punto di riferimento per l’indipendenza energetica a 360°: fotovoltaico, wallbox e pompe di calore, il tutto integrato da tecnologie ed esperienze digitali all’avanguardia. Job Description Siamo una scale-up in forte crescita nel settore delle energie rinnovabili, focalizzata sulla progettazione e installazione di impianti fotovoltaici per clienti residenziali e business. Crediamo nell’automazione intelligente dei processi per accelerare la transizione energetica e migliorare l’esperienza dei nostri clienti. Stiamo cercando un/una AI Data & Automation Intern motivato/a e curioso/a, che supporti il team di Supply Chain Management nello sviluppo di automazioni, analisi dati e integrazione di strumenti AI nei processi aziendali. Questa internship è ideale per studenti o neolaureati interessati a lavorare all’intersezione tra dati, automazione e sostenibilità. Responsabilità principali - Supportare la raccolta, pulizia e analisi di dati operativi e commerciali - Creare dashboard e report per monitorare KPI aziendali - Sviluppare workflow automatizzati utilizzando strumenti no-code/low-code - Collaborare all’integrazione di strumenti AI nei processi interni - Automatizzare task ripetitivi legati a CRM, sales e operations - Supportare il team nella gestione e ottimizzazione dei database - Analizzare performance e proporre miglioramenti basati sui dati · Documentare processi e automazioni implementate Qualifications - Ottima padronanza della lingua italiana - Ottime capacità organizzative, attenzione al dettaglio e gestione delle priorità - Interesse per AI, automazione e analisi dati - Atteggiamento proattivo e spirito di iniziativa - Conoscenza base di Excel, SQL, Python (nice to have) · Mentalità analitica e problem solving Cosa offriamo: - Stage formativo retribuito di 6 mesi - Indennità mensile di 800€ lordi - Orario di lavoro: lun–ven: full time 09:00–18:00 (40h/settimana) - Lavoro Full Time in sede a Milano: Via San Gregorio 38, 20124 (MI) (Zona Centrale/Repubblica), ambiente giovane e stimolante - Opportunità di apprendimento diretto su attività commerciali, organizzative e gestionali Additional Information Da Enpal siamo orgogliosi della diversità del nostro team. Non vengono prese decisioni sulla base del colore della pelle, della religione o del credo religioso, dell'origine etnica o nazionale, della nazionalità, dell'identità di genere, dell'orientamento sessuale, della disabilità o dell'età, né durante l'assunzione né durante il rapporto di lavoro. Enpal è sinonimo di un posto di lavoro sicuro e combatte contro la discriminazione e le molestie di qualsiasi tipo.", "summaryDescription" : "AI Data & Automation Intern (m/f/d) at Enpal. Skills: Data analysis, Automation, AI integration. Support data collection. 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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, "_score" : 1262.6409, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Government", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2e88d374d8ee00a0de7a4e", "title" : "Product Owner (m/f/d) AI Security Products", "company" : "Myra", "industry" : "Cybersecurity", "salary" : { "min" : 75000.0, "max" : 105000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-Senior Product Owner in Cybersecurity in Munich, Germany, adjusted for company size and industry." }, "location" : "München, DE", "locations" : [ "München", "DE" ], "timestamp" : "2026-06-16T05:27:20.917", "fingerprint" : "f4d68f1bbcd4db475de51f2e5ce19a394d90d7490cb2581a02fedbea69beee34", "source" : "personio", "language" : "en", "applyUrl" : "https://myra.jobs.personio.de/job/2647263", "externalId" : "2647263", "industryFunction" : { }, "structuredLocations" : [ { "city" : "München", "state" : "Bavaria", "country" : "Germany", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "48.1371079,11.5753822" } ], "locationText" : "München, Bavaria, Germany", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "professionalSkills" : [ "Product strategy", "Roadmap development", "User story creation", "Cross-functional collaboration", "Product discovery", "Product validation", "Market analysis", "Product prioritization", "Product delivery", "Product adoption", "Go-to-market strategy", "Pricing strategy", "Packaging strategy" ], "hardSkillsList" : [ "Outcome-driven prioritization", "Customer outcome focus" ], "hardSkills" : [ { "name" : "Outcome-driven prioritization", "level" : "intermediate" }, { "name" : "Customer outcome focus", "level" : "intermediate" } ], "majorSkills" : "AI Security Products, Product roadmap, Customer discovery, Product backlog management", "majorSkillsList" : [ "AI Security Products", "Product roadmap", "Customer discovery", "Product backlog management" ], "coreResponsibilities" : "Own product vision and roadmap, Identify customer problems, Run discovery and validation cycles, Translate insights into product priorities, Prioritize product backlog, Work with Engineering and Design, Monitor AI trends and competitors, Contribute to packaging and pricing, Ensure product decisions are customer-driven", "teamCollaboration" : "Engineering and UX/UI Design", "projectManagementSkills" : [ "Roadmap planning", "Product backlog management" ], "domainKnowledge" : "AI Security; Enterprise security; Internet traffic analysis; Cyber threat landscape; AI capabilities; Modern threat landscapes; AI trends; Emerging technologies; Regulatory developments", "domainList" : [ "ai-security", "enterprise-security", "internet-traffic-analysis", "cyber-threat-landscape", "ai-capabilities", "modern-threat-landscapes", "ai-trends", "emerging-technologies", "regulatory-developments" ], "domainSpecificKnowledge" : [ "AI Security", "Enterprise security", "Internet traffic analysis", "Cyber threat landscape", "AI capabilities", "Modern threat landscapes", "AI trends", "Emerging technologies", "Regulatory developments" ], "toolProficiency" : [ "AI tools" ], "documentationSkills" : "Outcome Briefs", "problemSolvingSkills" : "Decision making with incomplete information", "outcomesObjectives" : "AI Security Product discovery and validation cycle completed; AI Security roadmap established and used; Outcome-driven discovery and delivery processes embedded; Pricing and packaging approach defined; Sales and customers articulate Myra AI Security Product story", "qualificationsBasic" : "AI product ownership, Discovery expertise, Enterprise B2B SaaS experience, Commercial product thinking, Technical literacy, Cybersecurity interest, AI-native working style, English fluency", "qualificationsPreferred" : "German language proficiency", "rawDescription" : "Job Description At Myra, we develop and operate a certified Security-as-a-Service platform designed to protect digital business processes. Our technology monitors, analyzes, and filters malicious internet traffic before cyberattacks can cause actual damage. AI is transforming enterprise security faster than ever. We are looking for a Product Owner (m/f/d) AI Security Products who turns emerging AI capabilities into valuable security products for our customers — from discovery and validation to delivery and adoption. Your Responsibilities Own the vision and roadmap for Myra’s AI Security Products portfolio Identify customer problems where AI creates measurable and defensible value Run structured discovery and rapid validation cycles for new AI product ideas Translate customer insights and market developments into clear Outcome Briefs and product priorities Own and prioritize the product backlog for AI Security initiatives Work closely with Engineering and UX/UI Design to bring new products from concept to adoption Continuously monitor AI trends, competitor movements, emerging technologies, and regulatory developments Contribute to packaging, pricing, and go-to-market strategies for new AI Security Products Ensure product decisions are driven by customer outcomes, not feature requests ... what success looks like in 6 months: At least one AI Security Product has completed a full discovery and validation cycle with a clear go/no-go decision A transparent and actively maintained AI Security roadmap is established and used for prioritization Outcome-driven discovery and delivery processes are embedded in the team A clear pricing and packaging approach for the first AI Security Product is defined Sales and customers can articulate a differentiated and compelling Myra AI Security Product story Your Qualifications AI product ownership — you have experience building or launching AI-powered products in fast-moving markets and understand the difference between AI demos and production-ready solutions Discovery expertise — you know how to validate ideas quickly, run experiments, and make product decisions with incomplete information Enterprise B2B SaaS experience — you understand how enterprise customers evaluate, adopt, and operationalize new technologies Commercial product thinking — you have contributed to pricing, packaging, or commercial positioning of SaaS products Technical literacy — you are comfortable discussing architectures, AI capabilities, trade-offs, and technical constraints with engineering teams Cybersecurity interest — you are excited about the intersection of AI and security and understand the dynamics of modern threat landscapes AI-native working style — you actively use AI tools in your daily product work to accelerate discovery, research, prioritization, and decision-making English is a must, German a plus jobs@myrasecurity.com", "summaryDescription" : "Product Owner (m/f/d) AI Security Products at Myra. Skills: AI Security Products, Product roadmap, Customer discovery, Product backlog management. Own product vision and roadmap. 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developments", "AI tools" ], "skillCount" : 30, "jobCategory" : "product", "jobSubcategory" : "product_management", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "_score" : 1258.152, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Cybersecurity", "llmIndustryConfidence" : 0.97 }, { "id" : "6a306986f292fd229cfc8901", "title" : "Senior Data & AI Engineer (m/f)", "company" : "ARHS Group", "industry" : "Information Technology And Services", "salary" : { "min" : 105000.0, "max" : 145000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Senior Data & AI Engineer in Luxembourg, Luxembourg, adjusted for lead seniority and the technology industry." }, "location" : "Luxembourg, Luxembourg, LU", "locations" : [ "Luxembourg", "Luxembourg", "LU" ], "certifications" : [ "AWS/Azure certification" ], "timestamp" : "2026-06-16T09:42:07.752", "fingerprint" : "130c56e285dd17ed06d81102ec712001b16e2d89f56f716aec753f6b03926751", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/ARHS/744000132155575-senior-data-ai-engineer-m-f-", "externalId" : "744000132155575", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Luxembourg", "country" : "Luxembourg", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "49.6112768,6.1297990" } ], "locationText" : "Luxembourg, Luxembourg", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "technicalSkills" : "Python, REST API, Transformers, LLMs, RAG architectures, Vector search, OCR pipelines, Chatbot design, Azure, AWS, Functions, Glue, Logic Apps, AI Services, Docker, GitHub Actions, Terraform, Ansible, CI/CD pipelines, Edge inference, Jetson Orin, Xavier NX, Ollama, ONNX runtime, Java, NET, TypeScript, Spring Boot", "professionalSkills" : [ "System design", "Technical strategy", "MLOps", "Reproducibility", "Ethical AI use", "Agile", "DevOps" ], "hardSkillsList" : [ "AI/ML engineering", "Data pipelines", "AI systems", "API development", "Model training", "Model deployment", "Infrastructure automation", "Event-driven ecosystems", "Serverless ecosystems" ], "softSkillsList" : [ "Leadership", "Mentoring" ], "hardSkills" : [ { "name" : "AI/ML engineering", "level" : "intermediate" }, { "name" : "Data pipelines", "level" : "intermediate" }, { "name" : "AI systems", "level" : "intermediate" }, { "name" : "API development", "level" : "intermediate" }, { "name" : "Model training", "level" : "intermediate" }, { "name" : "Model deployment", "level" : "intermediate" }, { "name" : "Infrastructure automation", "level" : "intermediate" }, { "name" : "Event-driven ecosystems", "level" : "intermediate" }, { "name" : "Serverless ecosystems", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" } ], "majorSkills" : "Machine Learning, LLMs, MLOps", "majorSkillsList" : [ "Machine Learning", "LLMs", "MLOps" ], "coreResponsibilities" : "Lead AI solution design, Develop AI solutions, Deploy AI solutions, Scale AI solutions, Transform data into AI platforms, Guide technical strategy, Mentor engineering teams, Act as ML team lead, Define engineering standards, Ensure consistency across projects, Ensure reusability across projects, Align AI practices with company goals, Architect AI/ML pipelines, Oversee AI/ML pipelines, Lead LLM solution development, Customize LLM solutions, Meet privacy constraints, Meet latency constraints, Meet performance constraints, Design NLP pipelines, Supervise NLP pipeline implementation, Deliver production-grade AI services, Build high-availability APIs, Drive AI workload deployment, Deploy to cloud platforms, Deploy to edge devices, Enable real-time inference, Own infrastructure automation, Automate ML environments, Architect AI components, Integrate AI components, Ensure observability, Ensure resilience, Ensure scalability, Provide technical leadership, Mentor junior engineers, Mentor mid-level engineers, Foster best practices culture", "teamCollaboration" : "Cross-functional teams; Engineering teams", "projectManagementSkills" : [ "Agile", "DevOps" ], "domainKnowledge" : "NLP; Computer vision; LLMs; Edge devices; Cloud infrastructure; Machine Learning; Hybrid cloud; On-prem infrastructure; Information extraction; Document understanding; Event-driven ecosystems; Serverless ecosystems; MLOps; Reproducibility; Ethical AI", "domainList" : [ "nlp", "computer-vision", "llms", "edge-devices", "cloud-infrastructure", "machine-learning", "hybrid-cloud", "on-prem-infrastructure", "information-extraction", "document-understanding", "event-driven-ecosystems", "serverless-ecosystems", "mlops", "reproducibility", "ethical-ai" ], "domainSpecificKnowledge" : [ "NLP", "Computer vision", "LLMs", "Edge devices", "Cloud infrastructure", "Machine Learning", "Hybrid cloud", "On-prem infrastructure", "Information extraction", "Document understanding", "Event-driven ecosystems", "Serverless ecosystems", "MLOps", "Reproducibility", "Ethical AI" ], "toolProficiency" : [ "FastAPI", "Docker", "GitHub Actions", "Terraform", "Ansible", "Jetson Orin", "Xavier NX", "Ollama", "ONNX runtime" ], "communicationSkills" : "English; French", "qualificationsBasic" : "Minimum 5 years of hands-on experience in AI/ML engineering, Demonstrated ability to lead and deliver complex AI initiatives, Proficiency in Python, Proficiency in REST API architecture, Proficiency in performance tuning, Proficiency in secure API development, Proficiency in Transformers, Proficiency in LLMs, Proficiency in RAG architectures, Proficiency in prompt tuning, Proficiency in model compression, Proficiency in vector search, Proficiency in OCR pipelines, Proficiency in chatbot design, Deep expertise in Azure, Deep expertise in AWS, Proficiency in Docker, Proficiency in GitHub Actions, Proficiency in Infrastructure-as-Code, Proficiency in CI/CD pipelines, Proficiency in Edge inference, Proficiency in Ollama/ONNX runtime, Proficiency in hybrid deployments, Proficiency in workload orchestration, Demonstrated leadership in cross-functional teams, Mentoring and coaching experience, Autonomous decision-making capability, Capable of strategic technical decision-making, Commitment to building and sharing internal knowledge", "qualificationsPreferred" : "Interest or background in traditional software development, AWS/Azure certification", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Arηs Group, Part of Accenture, specializes in the management of complex public sector IT projects, including systems integration, informatics and analytics, solution implementation and program management. Our team helps lead clients through digital and information systems design, bringing expertise in a variety of areas ranging from software development, data science and security management to machine learning, cloud, and mobile development. Arηs Group was acquired by Accenture in July 2024. As a Senior Data & AI Engineer (m/f) at ARHS Group part of Accenture, you will lead the design, development, and deployment of advanced AI solutions across NLP, computer vision, and LLMs - scaling from edge devices to cloud infrastructure. You will shape intelligent systems that transform raw data into secure, high-performing AI-driven platforms, guiding technical strategy and mentoring engineering teams along the way. Beyond project delivery, you will be the go-to expert and team lead for all Machine Learning matters, responsible for guiding others and consolidating organizational know-how around ML. THE WORK: * Act as the team lead for the ML domain : define engineering standards, ensure consistency and reusability across projects, and align AI practices with company goals. * Architect and oversee AI/ML pipelines covering data ingestion, feature engineering, model training, deployment, and post-deployment monitoring * Lead the development and customization of LLM-based solutions , including open-source models (e.g., Mistral, LLaMA) on hybrid cloud/on-prem infrastructure, ensuring privacy, latency, and performance constraints are met. * Design and supervise the implementation of NLP pipelines for information extraction, classification, semantic search, and document understanding. * Deliver production-grade AI services with high-availability APIs using FastAPI or equivalent frameworks. * Drive deployment of AI workloads to both cloud platforms (Azure or AWS) and edge devices(e.g., NVIDIA Jetson Orin, Xavier NX) with real-time inference capabilities. * Own infrastructure automation for reproducible and scalable ML environments using tools like Terraform, Ansible, Docker. * Architect and integrate AI components into event-driven and serverless ecosystems (e.g., Azure Functions, Event Grid), ensuring observability, resilience, and scalability. * Provide technical leadership and mentorship to junior/mid-level engineers, fostering a culture of best practices in MLOps, reproducibility, and ethical AI use. Our roles require in-person time to encourage collaboration, learning, and relationship-building with clients, colleagues, and communities. As an employer, we will be as flexible as possible to support your specific work/life needs. The work location for this role is an ARHS – Part of Accenture office. HERE’S WHAT YOU’LL NEED: * Minimum 5 years of hands-on experience in AI/ML engineering , with a demonstrated ability to lead and deliver complex AI initiatives across full-stack data pipelines and AI systems , and proficency in: * Programming & APIs: Python, REST API architecture, performance tuning, secure API development. * NLP & ML: Transformers, LLMs (Mistral, LLaMA, etc.), RAG architectures, prompt tuning, model compression, vector search, OCR pipelines, chatbot design. * Cloud Platforms : Deep expertise in Azure and/or AWS (Functions, Glue, Logic Apps, AI Services). * MLOps & Infrastructure: Docker, GitHub Actions, Infrastructure-as-Code (Terraform ,Ansible), CI/CD pipelines. * AI System Integration : Edge inference (Jetson Orin, Xavier NX), Ollama/ONNX runtime, hybrid deployments, and workload orchestration. * Interest or background in traditional software development (e.g., Java, .NET, TypeScript, Spring Boot) is a big plus. * Any AWS/Azure certification is optional but valued. * Strong communication in English or French(both is a plus). * Demonstrated leadership in cross-functional teams, including mentoring and coaching. * Autonomous and capable of strategic technical decision-making. * Passion for building production-ready AI, with a bias for clean, documented, and maintainable solutions. * Familiarity with Agile and DevOps cultures. * Commitment to building and sharing internal knowledge, enabling collective team growth.", "summaryDescription" : "Senior Data & AI Engineer (m/f) at ARHS Group. Skills: Machine Learning, LLMs, MLOps. Lead AI solution design. 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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, "_score" : 1251.8184, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a307371f292fd229c00211c", "title" : "Senior Data & AI Engineer (m/f)", "company" : "ARHS Group", "industry" : "Information Technology And Services", "salary" : { "min" : 110000.0, "max" : 145000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Senior Data & AI Engineer in Luxembourg, Luxembourg, 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"API development", "level" : "intermediate" }, { "name" : "NLP pipelines", "level" : "intermediate" }, { "name" : "Information extraction", "level" : "intermediate" }, { "name" : "Classification", "level" : "intermediate" }, { "name" : "Document understanding", "level" : "intermediate" }, { "name" : "Production-grade AI services", "level" : "intermediate" }, { "name" : "Real-time inference", "level" : "intermediate" }, { "name" : "Infrastructure automation", "level" : "intermediate" }, { "name" : "Event-driven ecosystems", "level" : "intermediate" }, { "name" : "Serverless ecosystems", "level" : "intermediate" }, { "name" : "Observability", "level" : "intermediate" }, { "name" : "Resilience", "level" : "intermediate" }, { "name" : "Scalability", "level" : "intermediate" }, { "name" : "Prompt tuning", "level" : "intermediate" }, { "name" : "Model compression", "level" : "intermediate" }, { "name" : "Hybrid deployments", "level" : "intermediate" }, { "name" : "Workload orchestration", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" } ], "majorSkills" : "LLMs, MLOps, Cloud Platforms", "majorSkillsList" : [ "LLMs", "MLOps", "Cloud Platforms" ], "coreResponsibilities" : "Lead design, development, and deployment of AI solutions, Shape intelligent systems, Transform raw data into AI-driven platforms, Guide technical strategy, Mentor engineering teams, Act as team lead for ML domain, Define engineering standards, Ensure consistency and reusability across projects, Align AI practices with company goals, Architect AI/ML pipelines, Oversee AI/ML pipelines, Lead development of LLM-based solutions, Customize LLM-based solutions, Design NLP pipelines, Supervise implementation of NLP pipelines, Deliver production-grade AI services, Drive deployment of AI workloads, Own infrastructure automation, Architect AI components, Integrate AI components, Provide technical leadership, Mentor junior/mid-level engineers, Foster culture of best practices", "teamCollaboration" : "Cross-functional teams; Engineering teams", "projectManagementSkills" : [ "Agile", "DevOps" ], "domainKnowledge" : "NLP; Computer vision; LLMs; Edge devices; Cloud infrastructure; Machine Learning; MLOps; Reproducibility; Ethical AI; Event-driven ecosystems; Serverless ecosystems; Hybrid cloud; On-prem infrastructure; Real-time inference", "domainList" : [ "nlp", "computer-vision", "llms", "edge-devices", "cloud-infrastructure", "machine-learning", "mlops", "reproducibility", "ethical-ai", "event-driven-ecosystems", "serverless-ecosystems", "hybrid-cloud", "on-prem-infrastructure", "real-time-inference" ], "domainSpecificKnowledge" : [ "NLP", "Computer vision", "LLMs", "Edge devices", "Cloud infrastructure", "Machine Learning", "MLOps", "Reproducibility", "Ethical AI", "Event-driven ecosystems", "Serverless ecosystems", "Hybrid cloud", "On-prem infrastructure", "Real-time inference" ], "toolProficiency" : [ "FastAPI", "Docker", "GitHub Actions", "Terraform", "Ansible", "Ollama", "ONNX runtime", "Jetson Orin", "Xavier NX" ], "communicationSkills" : "English; French", "qualificationsBasic" : "Minimum 5 years of hands-on experience in AI/ML engineering, Demonstrated ability to lead and deliver complex AI initiatives, Proficiency in Python, Proficiency in REST API architecture, Proficiency in performance tuning, Proficiency in secure API development, Proficiency in Transformers, Proficiency in LLMs, Proficiency in RAG architectures, Proficiency in prompt tuning, Proficiency in model compression, Proficiency in vector search, Proficiency in OCR pipelines, Proficiency in chatbot design, Deep expertise in Azure, Deep expertise in AWS, Proficiency in Docker, Proficiency in GitHub Actions, Proficiency in Infrastructure-as-Code, Proficiency in CI/CD pipelines, Proficiency in Edge inference, Proficiency in Ollama/ONNX runtime, Proficiency in hybrid deployments, Proficiency in workload orchestration, Demonstrated leadership in cross-functional teams, Mentoring and coaching experience, Autonomous and capable of strategic technical decision-making, Commitment to building and sharing internal knowledge", "qualificationsPreferred" : "Interest or background in traditional software development, AWS/Azure certification", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Arηs Group, Part of Accenture, specializes in the management of complex public sector IT projects, including systems integration, informatics and analytics, solution implementation and program management. Our team helps lead clients through digital and information systems design, bringing expertise in a variety of areas ranging from software development, data science and security management to machine learning, cloud, and mobile development. Arηs Group was acquired by Accenture in July 2024. As a Senior Data & AI Engineer (m/f) at ARHS Group part of Accenture, you will lead the design, development, and deployment of advanced AI solutions across NLP, computer vision, and LLMs - scaling from edge devices to cloud infrastructure. You will shape intelligent systems that transform raw data into secure, high-performing AI-driven platforms, guiding technical strategy and mentoring engineering teams along the way. Beyond project delivery, you will be the go-to expert and team lead for all Machine Learning matters, responsible for guiding others and consolidating organizational know-how around ML. THE WORK: * Act as the team lead for the ML domain : define engineering standards, ensure consistency and reusability across projects, and align AI practices with company goals. * Architect and oversee AI/ML pipelines covering data ingestion, feature engineering, model training, deployment, and post-deployment monitoring * Lead the development and customization of LLM-based solutions , including open-source models (e.g., Mistral, LLaMA) on hybrid cloud/on-prem infrastructure, ensuring privacy, latency, and performance constraints are met. * Design and supervise the implementation of NLP pipelines for information extraction, classification, semantic search, and document understanding. * Deliver production-grade AI services with high-availability APIs using FastAPI or equivalent frameworks. * Drive deployment of AI workloads to both cloud platforms (Azure or AWS) and edge devices(e.g., NVIDIA Jetson Orin, Xavier NX) with real-time inference capabilities. * Own infrastructure automation for reproducible and scalable ML environments using tools like Terraform, Ansible, Docker. * Architect and integrate AI components into event-driven and serverless ecosystems (e.g., Azure Functions, Event Grid), ensuring observability, resilience, and scalability. * Provide technical leadership and mentorship to junior/mid-level engineers, fostering a culture of best practices in MLOps, reproducibility, and ethical AI use. Our roles require in-person time to encourage collaboration, learning, and relationship-building with clients, colleagues, and communities. As an employer, we will be as flexible as possible to support your specific work/life needs. The work location for this role is an ARHS – Part of Accenture office. HERE’S WHAT YOU’LL NEED: * Minimum 5 years of hands-on experience in AI/ML engineering , with a demonstrated ability to lead and deliver complex AI initiatives across full-stack data pipelines and AI systems , and proficency in: * Programming & APIs: Python, REST API architecture, performance tuning, secure API development. * NLP & ML: Transformers, LLMs (Mistral, LLaMA, etc.), RAG architectures, prompt tuning, model compression, vector search, OCR pipelines, chatbot design. * Cloud Platforms : Deep expertise in Azure and/or AWS (Functions, Glue, Logic Apps, AI Services). * MLOps & Infrastructure: Docker, GitHub Actions, Infrastructure-as-Code (Terraform ,Ansible), CI/CD pipelines. * AI System Integration : Edge inference (Jetson Orin, Xavier NX), Ollama/ONNX runtime, hybrid deployments, and workload orchestration. * Interest or background in traditional software development (e.g., Java, .NET, TypeScript, Spring Boot) is a big plus. * Any AWS/Azure certification is optional but valued. * Strong communication in English or French(both is a plus). * Demonstrated leadership in cross-functional teams, including mentoring and coaching. * Autonomous and capable of strategic technical decision-making. * Passion for building production-ready AI, with a bias for clean, documented, and maintainable solutions. * Familiarity with Agile and DevOps cultures. * Commitment to building and sharing internal knowledge, enabling collective team growth.", "summaryDescription" : "Senior Data & AI Engineer (m/f) at ARHS Group. Skills: LLMs, MLOps, Cloud Platforms. Lead design, development, and deployment of AI solutions. Shape intelligent systems", "postedDate" : "2026-06-15T09:49:20.000", "createdAt" : "2026-06-16T01:35:57.034", "lastUpdated" : "2026-06-16T14:27:48.027", "ingestTimestamp" : "2026-06-16T01:35:57.034", "mongoId" : "6a307371f292fd229c00211c", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "AI/ML engineering", "Data pipelines", "AI systems", "API development", "NLP pipelines", "Information extraction", "Classification", "Document understanding", "Production-grade AI services", "Real-time inference", "Infrastructure automation", "Event-driven ecosystems", "Serverless ecosystems", "Observability", "Resilience", "Scalability", "Prompt tuning", "Model compression", "Hybrid deployments", "Workload orchestration", "Leadership", "Mentoring", "LLMs", "MLOps", "Cloud Platforms", "System design", "Technical strategy", "Team lead", "Reproducibility", "Ethical AI use", "Agile", "DevOps", "NLP", "Computer vision", "Edge devices", "Cloud infrastructure", "Machine Learning", "Ethical AI", "Hybrid cloud", "On-prem infrastructure", "AWS/Azure certification", "FastAPI", "Docker", "GitHub Actions", "Terraform", "Ansible", "Ollama", "ONNX runtime", "Jetson Orin", "Xavier NX" ], "skillCount" : 50, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Lead", "dataQualityScore" : 1.0, "_score" : 1238.2062, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "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, "_score" : 1234.3387, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Energy", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2a537374d8ee00a05fe2e1", "title" : "AI Engineer (f/m/d)", "company" : "Decathlon Digital", "salary" : { "min" : 65000.0, "max" : 95000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Senior AI Engineer in Paris, France, adjusted for the retail industry and company size." }, "location" : "Paris, Paris, France", "locations" : [ "Paris", "Paris", "France" ], "timestamp" : "2026-06-14T09:38:36.401", "fingerprint" : "85550ab7d50dc31f96c8cce3cc739a8800c18e32df0125505c8b11bef9c2e11f", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.eu.greenhouse.io/decathlontechnology/jobs/4880600101", "externalId" : "4880600101", "structuredLocations" : [ { "city" : "Paris", "country" : "France", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "48.8534951,2.3483915" } ], "locationText" : "Paris, France", "technicalSkills" : "Python, Docker, Kubernetes, CI/CD, Vertex AI, Gemini Enterprise, MCP", "professionalSkills" : [ "Agent deployment", "Infrastructure architecture", "Intelligence routing", "Data privacy", "Performance measurement", "Prompt optimization" ], "hardSkillsList" : [ "Backend design", "Containerization", "Pipeline orchestration", "Asynchronous execution", "Distributed resilience", "Agent SDK integration", "Request routing", "Test frameworks", "LLM testing", "Golden datasets", "Output format validation", "RAG", "Semantic caching", "Prompt optimization" ], "softSkillsList" : [ "Adaptability", "Learning" ], "hardSkills" : [ { "name" : "Backend design", "level" : "intermediate" }, { "name" : "Containerization", "level" : "intermediate" }, { "name" : "Pipeline orchestration", "level" : "intermediate" }, { "name" : "Asynchronous execution", "level" : "intermediate" }, { "name" : "Distributed resilience", "level" : "intermediate" }, { "name" : "Agent SDK integration", "level" : "intermediate" }, { "name" : "Request routing", "level" : "intermediate" }, { "name" : "Test frameworks", "level" : "intermediate" }, { "name" : "LLM testing", "level" : "intermediate" }, { "name" : "Golden datasets", "level" : "intermediate" }, { "name" : "Output format validation", "level" : "intermediate" }, { "name" : "RAG", "level" : "intermediate" }, { "name" : "Semantic caching", "level" : "intermediate" }, { "name" : "Prompt optimization", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Adaptability" }, { "name" : "Learning" } ], "majorSkills" : "AI Engineering, Agent deployment, Infrastructure", "majorSkillsList" : [ "AI Engineering", "Agent deployment", "Infrastructure" ], "coreResponsibilities" : "Design and deploy agent foundations, Host agents, Execute agents, Interact with systems, Design robust pipelines, Execute asynchronous multi-step agentic tasks, Implement distributed resilience patterns, Integrate agentic orchestration SDKs, Bypass black-box limitations, Efficiently orchestrate agents, Manage information processing, Route to models, Manage costs, Optimize token usage, Ensure task quality, Ensure task speed, Strictly frame agent scope, Ensure data access control, Ensure action access control, Respect privacy rules, Ensure data security, Build performance measurement pipelines, Track agent reflections, Track agent decisions, Debug production logic, Define relevant evaluation metrics, Align metrics with functional specifics", "teamCollaboration" : "Close collaboration with digital teams; Work with data teams; Work with product teams; Work with engineering teams", "domainKnowledge" : "Supply chain; Retail; Legacy systems; Cloud-native architecture", "domainList" : [ "supply-chain", "retail", "legacy-systems", "cloud-native-architecture" ], "domainSpecificKnowledge" : [ "Supply chain", "Retail", "Legacy systems", "Cloud-native architecture" ], "toolProficiency" : [ "Docker", "Kubernetes", "Databricks", "MLFlow" ], "communicationSkills" : "Translate technical concepts", "continuousLearning" : "Technical certifications; Internal training; External training", "problemSolvingSkills" : "Problem solving; Troubleshooting", "qualificationsBasic" : "Senior profile, Machine Learning Engineering experience, Production infrastructure focus, Managed solutions exploitation, Distributed architectures correction, Custom connectors development, Framework limitations workaround, Movable technical environments, GCP operational ease, Containerized environments understanding, Agentic layer deployment", "qualificationsPreferred" : "Supply chain experience, Retail experience, Databricks deployment experience, MLFlow deployment experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "À propos de Decathlon Decathlon aspire à devenir la meilleure plateforme numérique sportive et l'écosystème ouvert du monde. Nous voulons permettre aux clients de vivre l'expérience Decathlon à travers de nombreuses expériences locales centrées sur le sport en connectant de nombreux acteurs et services tiers, de manière sécurisée et performante. Nos équipes numériques basées à Lille et Paris(et plus encore…) regroupant plus de 5000 collaborateurs, sont unies pour concevoir et développer des produits numériques avec l'objectif de toujours offrir la meilleure valeur à nos utilisateurs. Présent dans plus de 70 pays, Decathlon s'engage pour l'innovation, la durabilité et la satisfaction client. Description du Poste Notre équipe PRISM (Supply Chain) recherche un·e IA Engineer basé·e à Paris. En tant qu'IA Engineer dédié au déploiement d'agents, vous serez au cœur d'une équipe technique resserré e. Vous jouerez un rôle critique dans l'industrialisation, le déploiement et le suivi de nos capacités agentiques. Vous travaillerez en étroite collaboration avec les équipes numériques (Data, Produit, Ingénierie) pour architecturer l'infrastructure de déploiement, concevoir le routage de l'intelligence et construire une infrastructure sécurisée permettant à nos agents d'interagir nativement avec nos données d'entreprise et nos systèmes historiques (legacy) Responsabilités Concevoir et déployer les fondations solides qui permettront à nos agents IA d'être hébergés, de s'exécuter et d'interagir de manière fluide avec nos systèmes lors de la mise en production. Concevoir des pipelines robustes permettant l'exécution agentiques asynchrones multi-étapes (ex: flux d'ingestion et d'écriture transactionnels), en implémentant des patterns de résilience distribué e. Intégrer les SDKs d'orchestration agentiques (notamment Google Vertex AI Agent SDK / ADK), en contournant les limitations \"boîte noire\" des frameworks managé s. Orchestrer de façon efficiente les agents mis en production tout en garantissant la bonne gestion du traitement de l’information, du routage vers les modèles les plus adapté et garantir une gestions des coûts et utilisation des tokens optimal. Garantir et assurer la qualité et la vitesse d’exécution des tâches à réaliser. Cadrer strictement le périmètre d'action de chaque agent. Vous garantissez qu'ils accèdent uniquement aux données et aux actions pour lesquelles ils sont formellement autorisés, dans le respect de nos règles de confidentialité. En garantissant la sécurité des données. Bâtir des pipelines de mesure de performance et tracking avancés pour tracer de bout en bout les réflexions et décisions de l'agent afin de débugger la logique en production. Travailler avec l’équipe pour définir les métriques d'évaluations data pertinentes et cohérentes par rapport aux spécificités et métriques fonctionnelles définies. Savoir Faire Conception de backends robustes (Python), maîtrise opérationnelle de la conteneurisation (Docker, Kubernetes) et des pipelines (CI/CD, tests automatisés, observabilité, gestion des logs) pour assurer des mises en production robustes. Expertise Python axée production, maîtrise des plateformes de déploiement (Vertex AI Agent Builder, Gemini Enterprise Agent Platform) et des protocoles d'intégration client/serveur comme le Model Context Protocol (MCP). Expérience d'optimisation des fenêtres de contexte pour des modèles frontières massifs. De routage de requêtes vers les modèles adaptés aux solution envisagées Capacité à construire des frameworks de test pour LLMs (LLM-as-a-Judge, Golden Datasets), maîtrise des métriques déterministes et validation stricte des formats de sortie (JSON schema enforcement). Expérience pratique sur l'Agentic RAG, le Semantic Caching pour réduire la latence et les coûts API, ou l'utilisation de frameworks d'optimisation de prompts (ex: DSPy). Expérience appliquée à la supply chain, au retail, ou au déploiement de modèles via Databricks / MLFlow. Savoir être Excellentes compétences en communication et en collaboration. Capacité à travailler efficacement dans un environnement dynamique et rapide. Solides compétences en résolution de problèmes et souci du détail. Adaptabilité et volonté d'apprendre de nouvelles technologies et méthodologies et à les partager. Capacité à traduire des concepts techniques complexes en termes compréhensibles pour les parties prenantes non techniques. Capacité à comprendre les enjeux utilisateurs et les besoins associés Qualifications Profil Senior : Vous justifiez d'une expérience solide (Machine Learning Engineering) avec une forte orientation vers la mise en production d'infrastructures. Capacité à exploiter des solutions managées (Vertex AI) tout en sachant aller dans les détails pour corriger des architectures distribuées, développer des connecteurs custom et contourner les limitations des frameworks. Capacité démontrée à évoluer dans des environnements techniques mouvants Aisance opérationnelle sur GCP et compréhension des environnements conteneurisés (Docker, Kubernetes) pour déployer de façon autonome la couche Agentique. Environnement technique Agent orchestration : Gemini Enterprise Agent Platform, Vertex AI Agent Builder Infrastructures Matériel fourni en accord avec tes missions et nos engagements sociétaux (Mac, Windows, ou Chromebooks) ; Une équipe de projet locale au sein d'un réseau mondial (possibilité de carrière internationale) ; Développement des compétences et accompagnement (diversité des projets, certifications techniques dès la première année, formations internes et externes, etc.) Package de rémunération (participation des employés aux actions de l'entreprise, bonus mensuels/trimestriels). Rejoindre Decathlon, c'est faire partie d'une équipe dynamique passionnée par le sport, l'innovation et ayant un impact positif sur la vie de nos clients. Si vous êtes enthousiaste à l'idée de tirer parti de la data science pour optimiser les processus de la chaîne d'approvisionnement et stimuler la croissance de l'entreprise, nous vous invitons à postuler et à faire partie de notre aventure. DECATHLON DIGITAL Imaginez si la technologie nous permettait de repousser les frontières et d'offrir des expériences sportives inédites. C'est précisément notre ambition chez Decathlon Digital ! Nous sommes une équipe de plus de 5 000 experts en ingénierie logicielle, gestion de produits, données, cloud et cybersécurité, répartis à Paris, Lille et Amsterdam. Ensemble, nous créons la plus vaste plateforme sportive numérique, en exploitant les innovations technologiques pour optimiser la chaîne de valeur, concevoir des expériences connectées et donner une seconde vie à nos produits. Changeons la donne pour de bon. Notre passion du sport nous guide et nous voulons qu’elle perdure. C’est pourquoi nous nous engageons à bâtir un modèle technologique plus durable, en réduisant notre impact direct sur l'environnement, et en créant un espace sûr et inclusif pour apprendre et nous épanouir ensemble. Rejoins l’équipe et façonnons le futur du sport.", "summaryDescription" : "AI Engineer (f/m/d) at Decathlon Digital. Skills: AI Engineering, Agent deployment, Infrastructure. Design and deploy agent foundations. Host agents", "postedDate" : "2026-06-11T19:46:00.636", "createdAt" : "2026-06-11T19:46:00.636", "lastUpdated" : "2026-06-14T09:38:36.401", "ingestTimestamp" : "2026-06-11T19:46:00.636", "mongoId" : "6a2a537374d8ee00a05fe2e1", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "Backend design", "Containerization", "Pipeline orchestration", "Asynchronous execution", "Distributed resilience", "Agent SDK integration", "Request routing", "Test frameworks", "LLM testing", "Golden datasets", "Output format validation", "RAG", "Semantic caching", "Prompt optimization", "Adaptability", "Learning", "AI Engineering", "Agent deployment", "Infrastructure", "Infrastructure architecture", "Intelligence routing", "Data privacy", "Performance measurement", "Supply chain", "Retail", "Legacy systems", "Cloud-native architecture", "Docker", "Kubernetes", "Databricks", "MLFlow" ], "skillCount" : 31, "jobCategory" : "other", "jobSubcategory" : "data", "dataQualityScore" : 0.7777778, "_score" : 1224.5758, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a2cafc574d8ee00a09d7c0f", "title" : "Principal Engineer, AI", "company" : "Brightwheel", "industry" : "Engineering", "salary" : { "min" : 194000.0, "max" : 263000.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "United States", "locations" : [ "United States" ], "timestamp" : "2026-06-15T21:15:38.995", "fingerprint" : "332803023f1fefe5292050478b5e30592dcf275404a50e996a94143ee8404d32", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/brightwheel/918b98e2-bf78-4cab-be21-8ca7d37fc6e3/application", "externalId" : "918b98e2-bf78-4cab-be21-8ca7d37fc6e3", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Our Mission and Opportunity Early education is one of the most important determinants of childhood outcomes, a critical support for working families, and a $175B market that remains underserved by modern technology. Brightwheel is the largest, fastest growing, and most loved platform in early ed, trusted by millions of educators and families every day. We are a three-time Cloud 100 company https://www.forbes.com/lists/cloud100/a, backed by top investors including Addition, Bessemer, Emerson Collective, Lowercase Capital, Notable Capital, and Mark Cuban. Our Team Our team is passionate, talented, and customer-focused. We embody our Leadership Principles https://mybrightwheel.com/about/ in our work and culture. We are a distributed team with remote employees across every US time zone, as well as select offices in the US and internationally. Who You Are You are a Principal Engineer who is both AI-native and relentlessly product-minded. You turn ambiguous, cross-team opportunities into clear technical direction, and then you prove the path by building. You care about the flagship experiences you ship, and you obsess over the shared \"paved highway\" that makes it easy for the teams around you to ship safe, reliable AI over and over again. You will succeed in this role if you are: - Driven by outcomes. You care about helping centers stay full, save hours every week, and serve families better, not shipping \"an AI feature\" for its own sake. - The strategic architect and prolific builder. You bridge strategy and deep implementation. You set the technical direction for your organization, then you get hands-on to deliver reference implementations that teams can adopt with confidence. - Decisive on build vs. buy. You have sharp judgment on when to leverage off-the-shelf models and platforms versus when to invest in proprietary infrastructure, fine-tuning, data flywheels, or evaluation systems to create durable advantage. - Velocity as a strategy (\"show, don't tell\"). You move with the hunger of a founding engineer: you prototype boldly, de-risk quickly, and use working systems, not slides, to align teams and raise their ambition and pace. - A force multiplier with a platform mindset. You build the paved road: evaluation harnesses, retrieval and context patterns, safety guardrails, observability, and developer experience that let product and engineering teams ship AI safely and autonomously. - Deep on fundamentals, modern in practice. You understand why models fail (data, evaluation, human feedback, reliability), and you aggressively use modern AI-native tooling to iterate faster without sacrificing rigor. - Security- and trust-minded. You treat sensitive school, educator, and family data with care, design for least-privilege access, and build systems that are explainable, monitorable, and resilient. - Mission-aligned. The idea of using AI to expand childcare capacity and improve early education outcomes, at meaningful scale, genuinely motivates you. What You’ll Do You will make brightwheel measurably more valuable to schools, centers, educators, and families by delivering AI-powered capabilities that move business outcomes—for example retention, enrollment conversion, payment success, operational efficiency, and support burden. This is not a research role or a \"build cool demos\" role; success is defined by impact in production. In this role, you will: - Own outcomes end-to-end. Take responsibility for turning high-leverage opportunities into shipped, adopted capabilities with clear measurement, iteration loops, and sustained improvement—not one-time launches. - Define the AI technical direction for your organization. Translate customer problems into a practical strategy, reference architectures, and a roadmap that multiple teams can execute against, with minimal guidance. - Drive build-versus-buy decisions. Recommend when to partner on models and tooling versus when to build differentiated capabilities (data flywheels, evaluation systems, workflow-specific intelligence), backed by evidence from fast, hands-on spikes. - Lead by implementation. Rapidly prototype and ship reference implementations to prove feasibility, de-risk decisions, and raise your teams' expectation for speed and ambition. - Help build the paved highway. Contribute shared foundations—evaluation harnesses, retrieval and context patterns, safety guardrails, observability, and developer experience—so teams can ship reliable AI features repeatedly and independently. - Raise the bar across your organization. Mentor senior and staff engineers, lead design reviews for your teams, help establish standards for quality and safety, and align stakeholders to drive adoption. What You’ve Done We are open to a variety of backgrounds, but strong candidates usually bring: - Foundational AI Depth: You possess deep intuition for why models fail, gained from experience that predates the LLM boom. You have likely worked with model training, fine-tuning, or classical NLP/ML, giving you the grounding to make sound architectural decisions. - 8+ Years of Engineering Excellence: You have end-to-end ownership of large, business-critical systems. You launch large-scale and/or highly complex software that requires members of multiple teams to contribute, and you deliver largely independently with minimal guidance. - Architectural Strategy: Experience formulating architectural strategy at the organization level. You have designed systems that required execution across multiple teams, and you regularly influence technical and product priorities. - Mentorship and Hiring: A track record of mentoring senior and staff engineers and improving their skills, knowledge, and ability to get things done. You actively interview engineers and your judgment carries weight in debriefs. - Production AI at Scale: A proven track record of shipping AI-powered products to production. You understand the \"last mile\" of AI—evaluation, monitoring, and safety—and have built the tools that allow teams to sleep soundly at night. Nice-to-haves: - Experience earlier in your career with model training, fine-tuning, classical machine learning, or natural language processing—enough to have intuition for why models fail and how data and evaluation shape outcomes. - A portfolio of real work (open-source, demos, writing, talks, or shipped side projects) that shows taste, velocity, and how you think about applied AI systems end-to-end. - Experience building shared internal platforms or frameworks (for example evaluation services, retrieval infrastructure, policy and safety guardrails, observability tooling) that became the default path for multiple teams. - Formal training in computer science (4-year CS degree or equivalent depth in core CS topics). - A strong bar for operational excellence: secure-by-default design, performance and cost discipline, testability, incident readiness, and a track record of improving development, testing, and on-call practices for complex systems. Technology We work with: - Backend: Ruby on Rails, Sidekiq - Data: PostgreSQL on Amazon RDS, Redis, and event and analytics pipelines - Frontend: React with TypeScript and Emotion - Mobile: Native iOS (Swift) and Android (Kotlin with Jetpack Compose) - Cloud & Infrastructure: Docker, Kubernetes on Amazon EKS, GitHub Actions and FluxCD for CI/CD, and AWS services such as S3, CloudFront, CloudWatch, and SNS - AI & Automation: AWS Bedrock and other hosted large language models,, orchestration and agent frameworks, and modern AI coding tools like Cursor, Claude Code and Codex Brightwheel is committed to creating a diverse and inclusive work environment and is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity, gender expression, sexual orientation, national origin, genetics, disability, age, or veteran status. Protecting Our Applicants: Please be aware of recruiting scams impersonating Brightwheel. All legitimate communications come from @mybrightwheel.com http://mybrightwheel.com addresses, and we never ask for payment or sensitive personal data as part of our hiring process. If you suspect fraudulent contact, reach out to security@mybrightwheel.com. Thank you for helping us keep our applicant community safe.", "summaryDescription" : "Principal Engineer, AI at Brightwheel", "createdAt" : "2026-06-14T19:29:17.397", "lastUpdated" : "2026-06-15T21:15:38.995", "ingestTimestamp" : "2026-06-14T19:29:17.397", "mongoId" : "6a2cafc574d8ee00a09d7c0f", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 194000, "salaryAnnualMax" : 263000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Executive", "dataQualityScore" : 0.7777778, "_score" : 1222.2087, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a307110f292fd229cff7b0b", "title" : "Principal AI Compiler Engineer", "company" : "Renesas Electronics", "industry" : "Semiconductors", "salary" : { "min" : 250000.0, "max" : 400000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Principal AI Compiler Engineer in Dallas, USA, adjusted for executive seniority and technology industry." }, "location" : "Dallas, TX, United States", "locations" : [ "Dallas", "TX", "United States" ], "timestamp" : "2026-06-16T14:01:25.178", "fingerprint" : "b26f6446034e295b18bf1fc683d75796fc71b846751260cd68c29066b74a5db6", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/RenesasElectronics/744000132252983-principal-ai-compiler-engineer", "externalId" : "744000132252983", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Dallas", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "32.7762719,-96.7968559" } ], "locationText" : "Dallas, Texas, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Master's", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "technicalSkills" : "C++, Python, AI, ML, Compiler optimization, Deep learning frameworks, TensorFlow, PyTorch, CPU, GPU, NPU, LLVM, MLIR, Performance analysis, Distributed systems, Data processing", "professionalSkills" : [ "System design", "Algorithm design", "Performance tuning" ], "hardSkillsList" : [ "Compiler development", "AI model optimization", "Hardware architecture knowledge" ], "hardSkills" : [ { "name" : "Compiler development", "level" : "intermediate" }, { "name" : "AI model optimization", "level" : "intermediate" }, { "name" : "Hardware architecture knowledge", "level" : "intermediate" } ], "majorSkills" : "AI Compiler, Deep Learning, Hardware Acceleration", "majorSkillsList" : [ "AI Compiler", "Deep Learning", "Hardware Acceleration" ], "coreResponsibilities" : "Design and implement AI/ML compiler optimizations, Develop and maintain compiler infrastructure, Optimize deep learning models for various hardware targets, Collaborate with hardware and software teams, Analyze and improve compiler performance, Develop tools for compiler analysis and debugging, Stay up-to-date with the latest advancements in AI/ML", "teamCollaboration" : "Cross-functional teams; Hardware and software teams", "domainKnowledge" : "AI/ML compilers; Deep learning frameworks; Hardware architectures; Compiler optimization techniques", "domainList" : [ "ai-ml-compilers", "deep-learning-frameworks", "hardware-architectures", "compiler-optimization-techniques" ], "domainSpecificKnowledge" : [ "AI/ML compilers", "Deep learning frameworks", "Hardware architectures", "Compiler optimization techniques" ], "toolProficiency" : [ "LLVM", "MLIR", "TensorFlow", "PyTorch" ], "documentationSkills" : "Technical documentation", "continuousLearning" : "Stay up-to-date with advancements", "problemSolvingSkills" : "Root cause analysis; Performance analysis; Debugging", "outcomesObjectives" : "Improve compiler performance; Optimize deep learning models", "qualificationsBasic" : "Master's degree, 5+ years of experience in AI/ML compiler development, Experience with C++, Experience with Python, Experience with compiler optimization techniques, Experience with deep learning frameworks (e.g., TensorFlow, PyTorch), Experience with hardware architectures (e.g., CPU, GPU, NPU)", "qualificationsPreferred" : "PhD in Computer Science or related field, Experience with LLVM, Experience with MLIR, Experience with performance analysis tools, Experience with distributed systems, Experience with large-scale data processing", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Renesas Electronics is searching for a hands-on AI Compiler Engineer who thrives at the convergence of cutting-edge AI, compiler tech, and hardware design. Here, you’ll not only architect and scale a production-class AI compiler toolchain, but also rethink how AI automates, optimizes, and accelerates every step of building and deploying neural networks on Renesas SoCs. You’ll work shoulder-to-shoulder with visionary engineers—both human and AI—enabling adaptive compilers that learn, evolve, and redefine what’s possible for embedded intelligence. With a relentless focus on hardware-software co-design, you’ll collaborate across teams to translate high-level AI models into blazing-fast, energy-efficient executables, unlocking the full potential of our silicon for real-world impact. Innovation here isn’t a catchphrase—it’s your everyday. What You’ll Do · Own the design, implementation, and evolution of an AI compiler toolchain that leverages AI agents to seamlessly map neural networks onto Renesas SoC platforms. · Pioneer new graph transformations, lowering, scheduling, and codegen strategies for CPUs and custom accelerators, driven by insights from AI-powered analytics. · Build deep integrations with leading AI frameworks (PyTorch, TensorFlow, ONNX, and more), using AI agents to rapidly onboard new model architectures and ops. · Push the envelope on quantization, operator fusion, memory planning, and layout transformations—combining human expertise and AI-guided design for state-of-the-art results. · Partner with hardware and software architects, kernel hackers, and AI agents to co-design next-gen compiler and accelerator features, aligning silicon and code for maximum impact. · Diagnose and crush performance bottlenecks with AI-enabled profiling and diagnostics, relentlessly tuning for latency, throughput, and power efficiency. · Level up validation, benchmarking, and regression pipelines by harnessing AI agents—ensuring compiler correctness and world-class performance, release after release. · Uplevel the developer experience by streamlining usability, diagnostics, and documentation—AI agents are your copilots for user support, troubleshooting, and rapid iteration. ## Qualifications * MS/PhD (or equivalent experience) in Computer Science, EE, or related field * Deep experience building AI compilers, accelerator backends, or graph optimization frameworks. * Strong expertise in graph optimization and performance optimization for NPUs or custom accelerators * Experience with MLIR, LLVM, TVM-like systems, or proprietary compiler IRs. * Excellent C/C++ and Python skills * Solid understanding of AI inference workloads (CNNs, transformers, perception or generative models) * Strong communication skills are required, e.g. agile development experience in Scrum team (Product Owner or Scrum Master) Nice to Have: * Experience with automotive or safety-critical systems. * Background in heterogeneous SoCs (CPU/GPU/DSP/NPU) * Performance modeling or hardware–software co-design experienc ## Additional Information Renesas is an embedded semiconductor solution provider driven by its Purpose ‘To Make Our Lives Easier.’ As the industry’s leading expert in embedded processing with unmatched quality and system-level know-how, we have evolved to provide scalable and comprehensive semiconductor solutions for automotive, industrial, infrastructure, and IoT industries based on the broadest product portfolio, including High Performance Computing, Embedded Processing, Analog & Connectivity, and Power. With a diverse team of over 22,000 professionals in more than 30 countries, we continue to expand our boundaries to offer enhanced user experiences through digitalization and usher into a new era of innovation. We design and develop sustainable, power-efficient solutions today that help people and communities thrive tomorrow, ‘To Make Our Lives Easier.’ At Renesas, you can: * Launch and advance your career in technical and business roles across four Product Groups and various corporate functions. You will have the opportunities to explore our hardware and software capabilities and try new things. * Make a real impact by developing innovative products and solutions to meet our global customers' evolving needs and help make people’s lives easier, safe and secure. * Maximize your performance and wellbeing in our flexible and inclusive work environment. Our people-first culture and global support system, including the remote work option and Employee Resource Groups, will help you excel from the first day. Are you ready to own your success and make your mark? Join Renesas. Shape Your Future with Us. Renesas Electronics is an equal opportunity and affirmative action employer, committed to celebrating diversity and fostering a work environment free of discrimination on the basis of sex, race, religion, national origin, gender, gender identity, gender expression, age, sexual orientation, military status, veteran status, or any other basis protected by federal, state or local law. For more information, please read our [Diversity & Inclusion Statement](https://jobs.renesas.com/diversity-and-inclusion). Renesas Electronics deals with dual-use technology that is subject to U.S. export controls regulations. Under these regulations it may be necessary for Renesas to obtain U.S. government export license prior to release of technology to certain persons. The decision whether or not to file or pursue an export license application is at the sole discretion of Renesas.", "summaryDescription" : "Principal AI Compiler Engineer at Renesas Electronics. Skills: AI Compiler, Deep Learning, Hardware Acceleration. Design and implement AI/ML compiler optimizations. Develop and maintain compiler infrastructure", "postedDate" : "2026-06-15T17:40:25.000", "createdAt" : "2026-06-16T01:31:22.047", "lastUpdated" : "2026-06-16T14:01:25.178", "ingestTimestamp" : "2026-06-16T01:31:22.047", "mongoId" : "6a307110f292fd229cff7b0b", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 250000, "salaryAnnualMax" : 400000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "Compiler development", "AI model optimization", "Hardware architecture knowledge", "AI Compiler", "Deep Learning", "Hardware Acceleration", "System design", "Algorithm design", "Performance tuning", "AI/ML compilers", "Deep learning frameworks", "Hardware architectures", "Compiler optimization techniques", "LLVM", "MLIR", "TensorFlow", "PyTorch" ], "skillCount" : 17, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Executive", "dataQualityScore" : 1.0, "_score" : 1202.9689, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2d58aa74d8ee00a0b864e1", "title" : "Working Student AI Full Stack Engineer (m/f/d)", "company" : "Merantix Momentum", "industry" : "Technology", "salary" : { "min" : 31000.0, "max" : 45000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimated salary is based on the market baseline for an Entry-level Working Student AI Full Stack Engineer in Berlin, Germany, with adjustments for the technology industry and part-time employment." }, "location" : "Berlin, DE", "locations" : [ "Berlin", "DE" ], "timestamp" : "2026-06-15T09:13:41.939", "fingerprint" : "fec8d4ba8eb39572a417fa5c14b11e0fdd659c0a6b3fb4a1f7d905207ca5e87d", "source" : "personio", "language" : "en", "applyUrl" : "https://merantix-momentum.jobs.personio.de/job/2633368", "externalId" : "2633368", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Berlin", "country" : "Germany", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "52.5173885,13.3951309" } ], "locationText" : "Berlin, Germany", "employmentType" : "PART_TIME", "minimumEducation" : "Bachelor's", "technicalSkills" : "Python, TypeScript, ReactJS, REST APIs, GraphQL, SQL, PyTorch, Scikit-learn", "professionalSkills" : [ "API development", "Database work", "Developer tooling" ], "hardSkillsList" : [ "Web development", "AI/ML applications" ], "hardSkills" : [ { "name" : "Web development", "level" : "intermediate" }, { "name" : "AI/ML applications", "level" : "intermediate" } ], "majorSkills" : "AI, Full Stack, Software Development", "majorSkillsList" : [ "AI", "Full Stack", "Software Development" ], "coreResponsibilities" : "Support frontend component development, Support backend service development, Contribute to API development, Contribute to database work, Participate in code reviews, Participate in team rituals, Help maintain documentation, Improve developer tooling", "teamCollaboration" : "Senior engineers; Team rituals; Stand-ups; Sprint planning; Retrospectives", "projectManagementSkills" : [ "Sprint planning" ], "domainKnowledge" : "Machine learning; AI Ethics", "domainList" : [ "machine-learning", "ai-ethics" ], "domainSpecificKnowledge" : [ "Machine learning", "AI Ethics" ], "documentationSkills" : "Maintain documentation", "continuousLearning" : "Learning and development budget; Conferences; Educational resources; Weekly events; Monthly events", "innovationCreativity" : "AI innovation", "specialRequirements" : "20 hours/week", "qualificationsBasic" : "Currently enrolled in BSc/MSc, Solid programming skills in Python, Solid programming skills in TypeScript/ReactJS, First practical web development experience", "qualificationsPreferred" : "Experience with REST APIs, Basic SQL experience, Exposure to ML frameworks, Fluency in German", "workSiteFlexibility" : "Flexible", "rawDescription" : "What we do Merantix Momentum is a Berlin-based AI startup focusing on accelerating AI adoption across many industries through B2B solutions, as well as publicly funded research projects. We work across several domains, including automotive, manufacturing, retail, healthcare and many more, transforming businesses as an external machine learning department. We achieve this using our core expertise in state-of-the-art machine learning combined with our culture of rapid iterations to build scalable solutions. Your role As a Working Student in our Full Stack team, you'll contribute directly to the development of AI-powered applications. It will be no toy projects, it will be real production code. You'll work alongside senior engineers and get hands-on experience building the interfaces and backend systems that bring machine learning to life. Your main responsibilities will be: Support the development of frontend components and backend services for AI-powered applications Contribute to API development (REST/GraphQL) and database work under senior guidance Participate in code reviews and team rituals (stand-ups, sprint planning, retrospectives) Help maintain documentation and improve developer tooling Your profile You are a great fit for our team if you bring these qualifications: Currently enrolled in a BSc or MSc program in computer science, software engineering, or a related field Solid programming skills in Python and/or TypeScript/ReactJS First practical experience with web development (internship, own projects, or coursework counts) Curiosity about AI/ML applications and how they get deployed in the real world Experience with REST APIs or basic SQL is a plus Any exposure to ML frameworks (PyTorch, scikit-learn, etc.) is a plus Fluency in English; German proficiency is a plus Available for 20 hours/week (flexible around your study schedule) What we offer Engaging Topics and Excellence: We offer unique insights into applied machine learning research and development, working with a group of highly talented engineers and entrepreneurs. International Team: We are a dynamic and international team. Learning and Development: We provide an annual learning and development budget for attending conferences or purchasing educational resources to further develop our employees’ skills. We also hold weekly and monthly events around AI innovation and implementation. Dynamic and open Working Culture: We have a very flat hierarchy, open 360° feedback, and flexibility in our work-from-home policy, as well as working hours. AI Ethics: We are committed to developing ethical AI software and actively foster open discussions on this topic within our team. Brand new office space: Bright and open office situated on the AI Campus in Berlin. Hardware allowance: We give you support to have all the equipment you would need to thrive in your job. Sabbatical Leave; Employee benefits: We offer a monthly allowance per employee that can be allocated as desired to one of the following: Mobility & transportation (NAVIT), sports (Urban Sports Club), or groceries (Edenred).", "summaryDescription" : "Working Student AI Full Stack Engineer (m/f/d) at Merantix Momentum. Skills: AI, Full Stack, Software Development. Support frontend component development. 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We work at the frontier of AI, tackling big, real-world problems for global enterprises across multiple industries, armed with state-of-the-art technology and a culture that prizes courage, rigor, and relentless curiosity. Our BRAVER values aren't just words on a wall — they describe the kind of people we are and the standard we hold ourselves to every day. Our leadership team is entrepreneurial, experienced, and accessible, with an open-door policy that means you'll never be just a number here. We invest seriously in your growth because we know our success depends on yours. If you're ready to work alongside some of the brightest minds in the industry, push into uncharted territory, and do work that genuinely matters, Future Secure AI is the place for you. Future Secure AI (FSAI) is a leading enterprise AI company that was created in deep partnership with one of the world's largest financial institutions. Operating as an enterprise company with deep relationships at C-suite with large global enterprises, FSAI believes humans and AI Workers will collaborate seamlessly to raise organisational performance. FSAI has dozens of partnerships with leading companies in most industries and regions globally. FSAI has a strategic focus on expanding globally as we continue our extraordinary journey to transform the world with the most cutting-edge artificial intelligence We're hiring a Principal Software Engineer (AI) to help set the technical direction of our products and platform. You'll provide technical leadership across squads, projects, and product, shaping architectural decisions and working closely with engineering and customer delivery teams. If you do your best work when the problem is ambiguous and the stakes are high, you'll fit here. What you'll be doing Shaping architectural decisions for our AI Co-Worker systems, enabling enterprise customers to deploy persona-based AI Co-Workers that perform complex, end-to-end operational workflows through their own secure platform. Designing human-in-the-loop systems that keep humans in control of AI Co-Workers operating in mission-critical environments. Setting the technical standards and patterns other engineers will build on. Bringing novel approaches to how deterministic and non-deterministic systems are combined in production AI products. Ensuring our platform remains model-agnostic, integrating LLMs and AI frameworks from both established and emerging vendors. Working closely with customers to deeply understand their needs and make sure solutions exceed their expectations. Your application should demonstrate 10+ years of software development experience, with deep hands-on AI work. Strong Coding fundamentals, we primarily use Node.js and typescript Experience with AI frameworks and orchestration tools such as LangChain or LangGraph. Experience building systems where security and data governance are first-class design constraints, not afterthoughts. A track record of shaping and defending architectural decisions in complex, production environments. The communication skills to align technical and non-technical stakeholders around hard trade-offs. Sharp problem-solving instincts and the follow-through to match. Why join us You'll have genuine influence over the technical direction of a fast-growing AI product company, technical leadership across the full breadth of our product, and a direct line into senior leadership. Future Secure AI Privacy Policy At Future Secure AI, we are committed to protecting your privacy and adhering to the principles of the General Data Protection Regulation (GDPR) and the Australian Privacy Principles (APPs) under the Privacy Act 1988 (Cth). Our Privacy Policy outlines how we collect, use, share, and protect your personal data when you visit our website at www.futuresecure.ai (the \"Website\") and use our services.", "summaryDescription" : "Principal Software Engineer (AI) at Future Secure AI. Skills: AI, Software architecture, Enterprise AI. Shape architectural decisions. 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CRA advises clients on economic and financial matters pertaining to litigation and regulatory proceedings, and guides corporations through critical business strategy and performance-related issues. For nearly 60 years, clients have engaged CRA for its combination of industry experience and rigorous, fact-based analyses that provide clients with clear, implementable solutions to complex business concerns. CRA's European Competition Practice specialises in providing economic advice on matters of competition policy and regulation. We assist firms and their legal advisors in all types of competition proceedings: firms considering merger and acquisition opportunities or involved in merger control proceedings; and firms undergoing investigations relating to cartels, restrictive commercial agreements, abuse of dominance or state aid. We also provide advice to firms involved in regulatory proceedings and sector inquiries. We offer assistance on the estimation of effects and damages in cartel cases, international arbitration and intellectual property disputes. Position Overview Principals have the unique opportunity to learn from, and work alongside, some of the most respected scholars, specialists, and industry experts in the world. We tailor our analyses to the facts of each case, employing tools such as merger simulation, upward pricing pressure analysis, econometrics, bargaining theory, or game theory as needed. Whether before a court or a regulatory agency, CRA consultants set a high standard for the clear communication of sophisticated economic analysis in complex cases. You will have access to internal training programs focused on creative problem solving, communications, and leading and managing colleagues, teams and cases. In addition, our firm offers extracurricular activities where you can take additional leadership roles in recruiting, training, and volunteer activities in the local community. A typical Principal would: Work closely with leading academics and consulting with attorneys and other clients in industry and government on a wide variety of finance, strategy and economics issues; Act as a primary point of contact for clients and assist in the development and presentation of client deliverables including expert reports summarizing our opinions, conclusions, and recommendations and third party financial, market and industry data; Independently conceptualize and identify issues, design complex economic and financial models to analyze economic and financial data; Manage the research process, and supervising, training and mentoring junior analysts; Ensure the integrity and accuracy of analyses and opinions; Work with those testifying in judicial proceedings to provide economic analyses of mergers and other competition matters before the major competition authorities of the world; Assist with recruiting and training of new colleagues. Desired Qualifications Strong achievement in a graduate degree program (Masters or PhD) with focused study in economics or another quantitative discipline; Extensive and relevant experience (7-11 years), preferably economics/antitrust consulting experience preferred; Demonstrated understanding of economic concepts, competition/regulatory authorities and quantitative and qualitative analysis methods; Exceptional written and oral communication skills; Experience managing and developing teams of junior colleagues; Executive client presence and interaction skills. To Apply To be considered for this position, submit through this job posting: Curriculum Vitae – please include current contact information; Covering letter – please describe your interest in a role with CRA's Antitrust and Competition Economics practice in Germany and how this role matches your goals; Writing Sample (optional) – we prefer a sole-authored submission from an existing work (work product, published article or academic paper) that includes your commentary on a quantitative analysis and/or relevant to the field of economics. Work Location Flexibility CRA creates a work environment that enables our colleagues to benefit from being together in the office to best deliver on our promise of career growth, mentorship and inclusivity. At the same time, we recognise that individuals realise a range of benefits when working from home periodically. We currently ask that individuals spend 3 to 4 days a week on average working in the office (which may include traveling to another CRA office or to a client's location), with specific days determined in coordination with your practice or team. At certain times of the year (e. g. holiday periods), additional remote work options are offered to those whose work commitments permit it, although our offices remain open for those who choose or need to be there. Our Commitment to Diversity Charles River Associates is an equal opportunity employer. As part of our focus on equity and inclusion, we work to ensure a fair and consistent hiring process. We celebrate diversity and we are committed to an inclusive work environment. The statements included in this job description are intended to describe the general nature and level of work being performed by people assigned to this job. They are not intended to be an exhaustive list of all responsibilities, duties and skills required of personnel so classified.", "summaryDescription" : "Principal (European Competition practice) - m/f/d at Charles River Associates", "postedDate" : "2026-06-15T23:17:23.027", "createdAt" : "2026-06-15T23:17:23.027", "lastUpdated" : "2026-06-16T05:41:00.841", "ingestTimestamp" : "2026-06-15T23:17:23.027", "mongoId" : "6a305739f292fd229cf35e42", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "150k-200k", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "general", "jobSubcategory" : "general", "seniorityLevel" : "Lead", "dataQualityScore" : 0.8888889, "_score" : 1181.7979, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustryConfidence" : 0.95 }, { "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. 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We strive to create a healthy collaborative work environment where every employee feels valued and inspired to contribute to our vision “Until every human has their health”. If you’re seeking a career that offers purpose and aligns with your values join us and start your #Redcareer today. About the role: You will lead the design of complex, scalable product solutions for our pharmaceutical processes, ensuring they meet regulatory requirements, business needs, and future growth demands. At the same time, you will actively leverage AI and intelligent automation as key accelerators, shaping how modern technologies enhance decision-making, streamline workflows, and unlock new efficiencies across Europe’s largest online pharmacy. About your tasks: * Design and own complex, end-to-end product solutions that create lean, scalable, and compliant pharmaceutical processes * Translate regulatory and operational complexity into clean system designs and structured product architectures * Act as the bridge between operations, product, and engineering, driving cross-functional alignment and timely delivery * Proactively identify and implement AI-driven enhancements and agent-based solutions to improve workflow orchestration, document generation, and decision support * Apply a data-driven and experimental approach to validate solutions, leveraging AI tools (e.g. ChatGPT, Codex) to prototype, iterate, and scale impactful features ## Qualifications About you: * You are a Senior Product Manager with strong experience in designing complex systems and scalable product solutions * You bring a data-driven and structured mindset, and enjoy breaking down complexity into clear, effective designs * You have hands-on exposure to AI, automation, or intelligent systems, and understand how to apply them pragmatically to real-world problems * Experience in pharma or other regulated industries and affinity for European healthcare markets is a plus ## Additional Information About your benefits: In order to provide you with the best possible support for your individual needs - whether it‘s living a healthy life, having enough time for your family, or developing your skills - we offer a wide range of different, site-specific benefits: * Welcome days: We want you to feel at home with us from the very first day. Therefore, we welcome you with our comprehensive onboarding program. * Sports: Stay healthy. Profit from a membership (M) package at Urban Sports Club, so that you can take advantage of a huge variety of sport offers. * Work from Home: If your job does not require you to be present in the office, we can arrange the place you work from individually - even for up to 20 days a year anywhere in the EU. * Personal development: Grow! We support and encourage your individual development through various in- and external trainings. * Mobility: We provide our employees with a fully costed Deutschland Ticket which can be used at any time. Click here to learn more.", "summaryDescription" : "Senior Product Manager – Pharma Process Design & AI (m/f/d) at Redcare Pharmacy. Skills: Product management, AI integration, Process optimization. Lead design of product solutions. Leverage AI and automation", "postedDate" : "2026-06-15T14:48:46.000", "createdAt" : "2026-06-16T00:02:33.697", "lastUpdated" : "2026-06-16T10:18:49.488", "ingestTimestamp" : "2026-06-16T00:02:33.697", "mongoId" : "6a306857f292fd229cfc38e8", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Process design", "Product development", "Product management", "AI integration", "Process optimization", "Product strategy", "Roadmap development", "User stories", "System design", "Product architecture", "Workflow orchestration", "Decision support", "Roadmap", "Pharmaceutical processes", "European healthcare markets", "Regulated industries" ], "skillCount" : 16, "jobCategory" : "product", "jobSubcategory" : "product_management", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "_score" : 1176.946, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.95 }, { "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; 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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. 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Manual, document-heavy audits waste expert time while demand keeps rising. Our AI-powered software and specialized AI agents remove the repetitive work so auditors can focus on judgment. Backed by top-tier VCs with >10m funding, with a working product and paying customers, we’re rapidly scaling. We value first-principles thinking, speed, trust, and kindness. We build side by side in our Berlin office. YOUR ROLE As an AI Product Manager, you'll work on products in our AI audit toolbox alongside engineers, designers, auditors and our founders. You'll spend your time understanding what auditors need, helping shape what we build next, and making sure we ship things that actually solve real problems. WHAT YOU'LL DO - Contribute to the discovery, definition, and delivery of products in our AI toolbox - Talk to customers weekly to uncover pain points and validate solutions - Prototype with AI tools (Cursor, Claude, v0, etc.) to test ideas in hours, instead of weeks - Work tightly with engineering and design throughout the build cycle - Help us understand the messy reality of AI capabilities (and limits) and turn that into product decisions: what's worth building, what's not yet ready, where humans stay in the loop - Bring structure to the problem space: clear writing, sharp questions, useful PRDs WHAT SUCCESS LOOKS LIKE You've contributed to and shipped 3+ meaningful product bets within your first 6 months, learning through iteration and customer feedback along the way. - You've gone deep on at least one core product area (e.g. a specific tool in our AI toolbox, a customer segment, our evals & quality framework, or the UX of agentic workflows) and become exceptionally strong in it - You're trusted by founders, engineers, and customers to steward important product decisions WHO YOU ARE - Have 4–7 years of experience, with at least 2 years in a product role - Have shipped B2B SaaS products that real customers pay for and use - Are AI-native in how you work: you use LLMs, agents, and AI tooling daily and have strong intuition for what they can and can't do today - Have shipped at least one AI-powered feature or product and understand the unique product challenges (evals, latency, hallucinations, trust, UX of probabilistic systems) - Go deep into context to truly understand user problems - Are comfortable in early-stage startup chaos. High autonomy, high ambiguity, high speed BONUS POINTS - You've founded a company or shipped a serious AI side project - You can read code, run small scripts, or fine-tune prompts yourself - Experience in audit, compliance, legal, or another document-heavy professional services domain WHAT WE OFFER - High impact & growth: Front-row seat to a fast-scaling AI startup, with the chance to grow alongside the product - Mission-driven culture: First-principles thinking, bold ideas, and a supportive team - Attractive compensation: competitive salary + meaningful equity - Personal development: Learning budget for courses and conferences - Dynamic environment: Central Berlin office, team lunches, retreats, flexible vacation INTERVIEW PROCESS - First Call: Intro to Cortea with our Founders Associate Liza - Second Call: Product deep-dive with our Co-Founder & CPO Philipp - Third Call: Deep dive into our culture with our Co-Founder & CEO Valentin - On-site Day (Berlin): Meet the team and work on a real problem together [https://app.ashbyhq.com/api/images/user-content/316125b8-3855-479e-a082-a30caf346d45/1ddbeed3-b4e6-4a47-8872-d5cfeee3e842/image.png]", "summaryDescription" : "AI Product Manager (m/f/x) at Cortea. 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Hi Marley is on a mission to transform how the P they build the gatekeeper. Evangelize the platform internally: Lunch-and-learns, internal docs, demo droplets, and \"office hours\" so other teams know what's available and how to use it. Communication and product instinct are as load-bearing as the AWS depth. Use AI in your daily flow: Cursor, Claude Code, agentic coding tools — your default question is \"could an agent do this?\" before you write the code yourself. What We're Looking For: A genuine curiosity about AI and emerging technologies, paired with the judgment to apply them thoughtfully and responsibly. Deep AWS expertise: You can architect a multi-tenant platform on AWS without needing to outsource the hard parts. Bedrock, Cognito, IAM, EventBridge, Lambda, DynamoDB or Postgres, plus IaC (CDK or Terraform). Bonus: AgentCore, SageMaker, Workshop Studio. Identity & authorization fluency: You've built systems where authorization is the architecture, not bolted on. OAuth 2.1, scoped tokens, role inheritance, least-privilege design — these are second-nature to you. Strong product instincts, not just infra: You think about the developer experience of the people consuming your platform. You can design an SDK or a registry schema that other teams actually want to use. AI-forward: You've shipped real LLM-backed systems in production — not just prototypes — and have opinions about token cost, latency, evaluation, observability, and where determinism matters vs. where it doesn' t. MCP / agentic systems literacy: Familiarity with Model Context Protocol or comparable agent-tool patterns. You don't have to have shipped an MCP server, but you should be able to talk credibly about why MCP exists and what its security boundaries are. Excellent communicator: You can present platform work to engineers, executives, and customers, and write docs people actually read. This role only succeeds if the rest of the company knows what's available. Architectural integrity over framework hype: You'd rather build the right primitive on AWS than reach for a \"magical\" higher-level abstraction. You can write Python, TypeScript, or Go fluently — the language matters less than the systems thinking. Compensation, Benefits & Perks: At Hi Marley, we are committed to fair and transparent pay practices. The annual base salary for this role is expected to fall within the range of [$152,000–$283,000], depending on experience, skills, qualifications, and location. Offers are determined based on these factors as well as internal peer equity. It’s most common for new hires to start near the midpoint of the range, allowing room for growth as employees develop in their role. In addition to base pay, we offer a comprehensive total rewards package that supports both your wellbeing and professional growth, including: Equity grants for all employees A 4% matching 401(k) program Medical, dental, vision, disability, and life insurance coverage for employees working 30+ hours per week Monthly wellness stipend Paid parental leave A flexible vacation policy - we all work hard and take time when we need it Who We Are: At Hi Marley, our culture is built on three core values that every employee embodies: Max Courage – We encourage our team, our customers, and their customers to dream big, try new ideas, and maximize impact by measuring risk. Be Humble – We lead with appreciation and promote a culture of humility, compassion, and openness to learn from anyone, anywhere. Ubuntu (“I am because we are”) – We believe true success is much bigger than any single individual or company. By aligning our individual aims behind a shared purpose, we can achieve our fullest potential — together. Life at Hi Marley: Life at Hi Marley is shaped by collaboration, learning, and genuine connection. We’re proud to foster an environment where people can do their best work, feel supported, and grow alongside a team that celebrates both individuality and shared purpose. A fun, lively startup culture that embraces creativity and innovation Core values-based leadership that guides our decision-making and daily interactions A culture of engagement, diversity, inclusion, and belonging — everyone’s voice matters Flexible, hybrid work environment that values balance and trust Ample opportunities to learn, take on new challenges, and make an impact in a fast-growing organization Meaningful work that directly supports our mission to help people and organizations communicate with empathy and clarity Hi Marley is proud to be an equal employment opportunity employer. We celebrate diversity and do not discriminate based on gender, sexual orientation, gender identity, religion, race, veteran status, disability status, or any other characteristic protected by applicable law. We are committed to building an inclusive work environment representing a variety of backgrounds, perspectives, and skills, where all employees are encouraged to be their authentic selves. Hi Marley participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U. S. For more information, please review the documents under \"E-Verify Poster\" here: https://e-verify.uscis.gov/web/OnlineResources.aspx", "summaryDescription" : "Principal AI Platform Engineer at Hi Marley", "postedDate" : "2026-06-15T23:29:34.713", "createdAt" : "2026-06-15T23:29:34.713", "lastUpdated" : "2026-06-16T08:58:36.382", "ingestTimestamp" : "2026-06-15T23:29:34.713", "mongoId" : "6a306091f292fd229cf909c6", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 152000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Lead", "dataQualityScore" : 0.8888889, "_score" : 1166.9602, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Insurance", "llmIndustryConfidence" : 0.98 }, { "id" : "6a306091f292fd229cf909c7", "title" : "Principal AI Product Engineer", "company" : "Hi Marley", "industry" : "SaaS", "salary" : { "min" : 250000.0, "max" : 400000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an Executive Principal AI Product Engineer in Boston, MA, adjusted for company size and industry." }, "location" : "Boston, Massachusetts, United States", "locations" : [ "Boston", "Massachusetts", "United States" ], "timestamp" : "2026-06-16T07:37:48.839", "fingerprint" : "92d388bbd11c0710cb56e78e75e3289e93267955d0ffc5bb1b24d0117ed10919", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://www.himarley.com/careers?gh_jid=7773714003", "externalId" : "7773714003", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Boston", "state" : "Massachusetts", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "42.3588336,-71.0578303" } ], "locationText" : "Boston, Massachusetts, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Insurance touches people during some of the most challenging moments in their lives. Hi Marley is on a mission to transform how the P designing our internal knowledge systems, the surfaces by which we make decisions, and the patterns by which teams build and design agents; and making the call — over and over — about what should be centralized and what should live with the team. You'll work alongside a Builder — Technical Infrastructure counterpart who owns the deeper technology spine. Together, you're a small team with a very large scope. The shape of this person is rare: design taste paired with the ability to ship. You live in Claude Code, Codex, and Cursor — you don't just produce mocks, you build the thing. There's a strong product lean to this role too: you'll be taking a steady stream of signals and requests from across Hi Marley, learning how to prioritize, and managing a portfolio of small, well-shaped internal products at once. If that's you, and you want to set the bar for what great internal experience looks like at a modern insurance company, this is the role for you. Teamwork and shared enthusiasm are a core part of our culture, which is why this role involves joining us in the Boston office for 2-3 days each week. What You'll Do: Build the internal operating fabric of Hi Marley: Design and ship the tools every department uses — internal knowledge systems, decision-making surfaces, dashboards, catalogs, agent-builder UIs. The thing you build is what turns Hi Marley into an orchestra rather than a set of soloists. Get the data layer right: Understand how data flows across the company — what lives where, what should be centralized, what should stay with the team — and design experiences that expose the right slice to the right audience. Design how we build and ship internal agents: Create the surfaces and patterns by which Hi Marley teams compose, register, and trust the agents they author. Discoverable, governable, well-crafted. Run a portfolio of small internal products: Take in requests from across the company, prioritize by leverage, sequence the work, and ship. This isn't one big roadmap; it's many small ones, held together with taste. Hold the centralized-vs-decentralized balance: One of the harder calls in this role is when a capability belongs to the platform vs. when it belongs to a team. You'll make those calls in collaboration with engineering and ops leadership. Partner with the Builder — Technical Infrastructure: They own the platform spine; you own the experience layer on top. You'll be merging each other's PRs. Use the tools: You live in Claude Code, Codex, and Cursor (or the next thing if it's better when you read this). You ship at the velocity of a small team because your craft is shaped by agentic coding. What We're Looking For: Hybrid design + engineering chops: You have strong design instincts and you ship production code. You sketch, code, and merge your own PRs — no handoff. Modern frontend stack: Strong with React, Next.js, TypeScript, Tailwind, shadcn/ui (or equivalent). Comfortable touching the backend when the boundary is unclear. Lives in agentic coding tools: Claude Code, Codex, Cursor — these are your default environment. You don't just \"use AI to help\"; your craft is shaped by these tools. Product instinct, not just craft: You can hold ten internal asks in your head, prioritize by leverage, and ship a coherent portfolio of small, well-shaped products. Comfort with ambiguity and with saying no. Taste as a moat: You make UI judgment calls beyond what's in the spec — spacing, motion, information density — because you've internalized why those things matter. Systems thinking about data and tools: You think in terms of where data lives, what to centralize vs. decentralize, and how to expose it at the right level. You design with the data architecture in mind, not just the screen. Communication and craft: You can present your work to engineers, executives, and customers, and explain why you made a decision in language that matches the audience. Bonus — AWS familiarity: Hi Marley is AWS-only (Cognito, Bedrock, CDK). You don't need to be deep here on day one — your infra counterpart owns the spine — but be willing to go deep when needed. Compensation, Benefits & Perks: At Hi Marley, we are committed to fair and transparent pay practices. The annual base salary for this role is expected to fall within the range of [$152,000–$283,000], depending on experience, skills, qualifications, and location. Offers are determined based on these factors as well as internal peer equity. It’s most common for new hires to start near the midpoint of the range, allowing room for growth as employees develop in their role. In addition to base pay, we offer a comprehensive total rewards package that supports both your wellbeing and professional growth, including: Equity grants for all employees A 4% matching 401(k) program Medical, dental, vision, disability, and life insurance coverage for employees working 30+ hours per week Monthly wellness stipend Paid parental leave A flexible vacation policy - we all work hard and take time when we need it Who We Are: At Hi Marley, our culture is built on three core values that every employee embodies: Max Courage – We encourage our team, our customers, and their customers to dream big, try new ideas, and maximize impact by measuring risk. Be Humble – We lead with appreciation and promote a culture of humility, compassion, and openness to learn from anyone, anywhere. Ubuntu (“I am because we are”) – We believe true success is much bigger than any single individual or company. By aligning our individual aims behind a shared purpose, we can achieve our fullest potential — together. Life at Hi Marley: Life at Hi Marley is shaped by collaboration, learning, and genuine connection. We’re proud to foster an environment where people can do their best work, feel supported, and grow alongside a team that celebrates both individuality and shared purpose. A fun, lively startup culture that embraces creativity and innovation Core values-based leadership that guides our decision-making and daily interactions A culture of engagement, diversity, inclusion, and belonging — everyone’s voice matters Flexible, hybrid work environment that values balance and trust Ample opportunities to learn, take on new challenges, and make an impact in a fast-growing organization Meaningful work that directly supports our mission to help people and organizations communicate with empathy and clarity Hi Marley is proud to be an equal employment opportunity employer. We celebrate diversity and do not discriminate based on gender, sexual orientation, gender identity, religion, race, veteran status, disability status, or any other characteristic protected by applicable law. We are committed to building an inclusive work environment representing a variety of backgrounds, perspectives, and skills, where all employees are encouraged to be their authentic selves. Hi Marley participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U. S. For more information, please review the documents under \"E-Verify Poster\" here: https://e-verify.uscis.gov/web/OnlineResources.aspx", "summaryDescription" : "Principal AI Product Engineer at Hi Marley", "postedDate" : "2026-06-15T23:26:27.949", "createdAt" : "2026-06-15T23:26:27.949", "lastUpdated" : "2026-06-16T07:37:48.839", "ingestTimestamp" : "2026-06-15T23:26:27.949", "mongoId" : "6a306091f292fd229cf909c7", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 250000, "salaryAnnualMax" : 400000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Executive", "dataQualityScore" : 0.8888889, "_score" : 1166.9159, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Insurance", "llmIndustryConfidence" : 0.95 }, { "id" : "6a30618bf292fd229cf96f0b", "title" : "Senior Product Manager – Pharma Process Design & AI (m/f/d)", "company" : "Redcare Pharmacy", "industry" : "Pharmaceuticals", "salary" : { "min" : 85000.0, "max" : 120000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Product Manager in Germany, adjusted for Cologne's city tier, the healthcare industry, and senior experience level." }, "location" : "Cologne, Germany", "locations" : [ "Cologne", "Germany" ], "timestamp" : "2026-06-16T09:04:57.771", "fingerprint" : "fc718f76a89f51f63e1b332ac48eae5f7c35863201ec85ae1ff72a02a5d49f2e", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/Redcare-Pharmacy/744000132223648-senior-product-manager-pharma-process-design-ai-m-f-d-", "externalId" : "744000132223648", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Cologne", "country" : "Germany", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "50.9383610,6.9599740" } ], "locationText" : "Cologne, Germany", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "technicalSkills" : "AI, Intelligent automation, ChatGPT, Codex", "professionalSkills" : [ "System design", "Product architecture", "Workflow orchestration", "Decision support" ], "hardSkillsList" : [ "Product strategy", "Roadmap development", "User story creation" ], "hardSkills" : [ { "name" : "Product strategy", "level" : "intermediate" }, { "name" : "Roadmap development", "level" : "intermediate" }, { "name" : "User story creation", "level" : "intermediate" } ], "majorSkills" : "Product strategy, AI integration, Process design", "majorSkillsList" : [ "Product strategy", "AI integration", "Process design" ], "coreResponsibilities" : "Lead design of product solutions, Ensure solutions meet regulatory requirements, Ensure solutions meet business needs, Ensure solutions meet growth demands, Leverage AI as accelerators, Shape how technologies enhance decision-making, Shape how technologies streamline workflows, Shape how technologies unlock efficiencies, Design end-to-end product solutions, Create lean pharmaceutical processes, Create scalable pharmaceutical processes, Create compliant pharmaceutical processes, Translate complexity into system designs, Translate complexity into product architectures, Drive cross-functional alignment, Drive timely delivery, Identify AI-driven enhancements, Implement AI-driven enhancements, Identify agent-based solutions, Implement agent-based solutions, Improve workflow orchestration, Improve document generation, Improve decision support, Apply experimental approach to validate solutions, Prototype impactful features, Iterate impactful features, Scale impactful features", "teamCollaboration" : "Cross-functional alignment; Bridge operations, product, engineering", "projectManagementSkills" : [ "Roadmap development" ], "domainKnowledge" : "Pharmaceutical processes; European healthcare markets; Regulated industries", "domainList" : [ "pharmaceutical-processes", "european-healthcare-markets", "regulated-industries" ], "domainSpecificKnowledge" : [ "Pharmaceutical processes", "European healthcare markets", "Regulated industries" ], "continuousLearning" : "Personal development support; In-house trainings; External trainings", "innovationCreativity" : "AI integration; Intelligent automation", "problemSolvingSkills" : "Breaking down complexity", "qualificationsBasic" : "Senior Product Manager experience, Experience designing complex systems, Experience designing scalable product solutions, Data-driven mindset, Structured mindset, Hands-on AI exposure, Hands-on automation exposure, Hands-on intelligent systems exposure, Understand AI application to real-world problems", "qualificationsPreferred" : "Pharma experience, Regulated industries experience, Affinity for European healthcare markets", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "About Redcare Pharmacy: As Europe’s No.1 e-pharmacy Redcare Pharmacy is powered by passionate teams and cutting-edge innovation. We strive to create a healthy collaborative work environment where every employee feels valued and inspired to contribute to our vision “Until every human has their health”. If you’re seeking a career that offers purpose and aligns with your values join us and start your #Redcareer today. About the role: You will lead the design of complex, scalable product solutions for our pharmaceutical processes, ensuring they meet regulatory requirements, business needs, and future growth demands. At the same time, you will actively leverage AI and intelligent automation as key accelerators, shaping how modern technologies enhance decision-making, streamline workflows, and unlock new efficiencies across Europe’s largest online pharmacy. About your tasks: * Design and own complex, end-to-end product solutions that create lean, scalable, and compliant pharmaceutical processes * Translate regulatory and operational complexity into clean system designs and structured product architectures * Act as the bridge between operations, product, and engineering, driving cross-functional alignment and timely delivery * Proactively identify and implement AI-driven enhancements and agent-based solutions to improve workflow orchestration, document generation, and decision support * Apply a data-driven and experimental approach to validate solutions, leveraging AI tools (e.g. ChatGPT, Codex) to prototype, iterate, and scale impactful features ## Qualifications About you: * You are a Senior Product Manager with strong experience in designing complex systems and scalable product solutions * You bring a data-driven and structured mindset, and enjoy breaking down complexity into clear, effective designs * You have hands-on exposure to AI, automation, or intelligent systems, and understand how to apply them pragmatically to real-world problems * Experience in pharma or other regulated industries and affinity for European healthcare markets is a plus ## Additional Information About your benefits: In order to provide you with the best possible support for your individual needs - whether it‘s living a healthy life, having enough time for your family, or developing your skills - we offer a wide range of different, site-specific benefits: * Welcome days: We want you to feel at home with us from the very first day. Therefore, we welcome you with our comprehensive onboarding program. * Sports: Stay healthy. Profit from a membership (M) package at Urban Sports Club, so that you can take advantage of a huge variety of sport offers. * Work from Home: If your job does not require you to be present in the office, we can arrange the place you work from individually - even for up to 20 days a year anywhere in the EU. * Personal development: Grow! We support and encourage your individual development through various in- and external trainings. * Mobility: We provide our employees with a fully costed Deutschland Ticket which can be used at any time. Click here to learn more.", "summaryDescription" : "Senior Product Manager – Pharma Process Design & AI (m/f/d) at Redcare Pharmacy. Skills: Product strategy, AI integration, Process design. Lead design of product solutions. Ensure solutions meet regulatory requirements", "postedDate" : "2026-06-15T14:48:46.000", "createdAt" : "2026-06-15T23:47:57.148", "lastUpdated" : "2026-06-16T09:04:57.771", "ingestTimestamp" : "2026-06-15T23:47:57.148", "mongoId" : "6a30618bf292fd229cf96f0b", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Product strategy", "Roadmap development", "User story creation", "AI integration", "Process design", "System design", "Product architecture", "Workflow orchestration", "Decision support", "Pharmaceutical processes", "European healthcare markets", "Regulated industries" ], "skillCount" : 12, "jobCategory" : "product", "jobSubcategory" : "product_management", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "_score" : 1166.8826, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.95 }, { "id" : "69fda4e54c40e2acd1b99a4d", "title" : "Software Development Engineer, Alexa Edge AI", "company" : "Amazon Development Centre Canada ULC", "industry" : "Software Development, alexa and amazon devices", "salary" : { "min" : 80000.0, "max" : 191800.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Toronto, Ontario, CAN", "locations" : [ "Toronto, Ontario, CAN" ], "timestamp" : "2026-06-15T03:18:29.719", "fingerprint" : "4412f888dfefea8409d962d7e86bb2c629f99fbb2bcb622d4b812e1cb0e8cd77", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10412538/apply", "externalId" : "3f51a718-1ea5-4a63-b1a6-ce5a5b82bc85", "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", "experienceMinYears" : 3, "technicalSkills" : "GenAI, AI", "professionalSkills" : [ "System design", "Architecture" ], "hardSkillsList" : [ "Software development", "System design", "Architecture" ], "hardSkills" : [ { "name" : "Software development", "level" : "intermediate" }, { "name" : "System design", "level" : "intermediate" }, { "name" : "Architecture", "level" : "intermediate" } ], "majorSkills" : "Edge AI, Software development, Cloud-native architecture", "majorSkillsList" : [ "Edge AI", "Software development", "Cloud-native architecture" ], "coreResponsibilities" : "Collaborate and communicate effectively, Design innovative products, Build innovative services, Operate innovative products, Operate innovative services, Participate in technical discussions, Design scalable solutions, Develop scalable solutions, Participate in code reviews, Contribute to technical documentation, Build resilient distributed systems, Maintain resilient distributed systems, Leverage GenAI tools, Contribute to AI tools, Write clean code, Write maintainable code, Work in agile environment, Participate in operational responsibilities, Demonstrate operational excellence, Troubleshoot production issues, Resolve production issues", "teamCollaboration" : "Cross-disciplinary teams; Agile environment", "projectManagementSkills" : [ "Agile", "CI/CD" ], "domainKnowledge" : "Cloud-native architecture; Distributed computing; Distributed systems; Edge AI", "domainList" : [ "cloud-native-architecture", "distributed-computing", "distributed-systems", "edge-ai" ], "domainSpecificKnowledge" : [ "Cloud-native architecture", "Distributed computing", "Distributed systems", "Edge AI" ], "communicationSkills" : "Technical documentation", "documentationSkills" : "Technical documentation", "continuousLearning" : "Emerging technologies", "innovationCreativity" : "Innovative technology; Creating new products; Creating new features; Creating new services", "problemSolvingSkills" : "Troubleshooting; Resolving production issues", "specialRequirements" : "On-call duties", "outcomesObjectives" : "Solve real customer problems; Impact millions of customers", "qualificationsBasic" : "3+ years professional software development, 2+ years system design or architecture, Experience programming one language", "qualificationsPreferred" : "3+ years full SDLC experience, Bachelor's degree in computer science", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Do you want to solve real customer problems through innovative technology? Do you enjoy working on scalable services in a collaborative team environment? Do you want to see your code directly impact millions of customers worldwide? At Amazon, we hire the best minds in technology to innovate and build on behalf of our customers. Customer obsession is part of our company DNA, which has made us one of the world's most beloved brands. Our Software Development Engineers (SDEs) use modern technology to solve complex problems while seeing their work's impact first-hand. The challenges SDEs solve at Amazon are meaningful and influence millions of customers, sellers, and products globally. We seek individuals passionate about creating new products, features, and services while managing ambiguity in an environment where development cycles are measured in weeks, not years. At Amazon, we believe in ownership at every level. As an SDE, you'll own the entire lifecycle of your code - from design through deployment and ongoing operations. This ownership mindset, combined with our commitment to operational excellence, ensures we deliver the highest quality solutions for our customers. Key job responsibilities • Collaborate and communicate effectively with experienced cross-disciplinary Amazonians to design, build, and operate innovative products and services that delight our customers, while participating in technical discussions to drive solutions forward. • Design and develop scalable solutions using cloud-native architectures and microservices in a large distributed computing environment. • Participate in code reviews and contribute to technical documentation. • Build and maintain resilient distributed systems that are scalable, fault-tolerant, and cost-effective. • Leverage and contribute to the development of GenAI and AI-powered tools to enhance development productivity while staying current with emerging technologies. • Write clean, maintainable code following best practices and design patterns. • Work in an agile environment practicing CI/CD principles while participating in operational responsibilities including on-call duties. • Demonstrate operational excellence through monitoring, troubleshooting, and resolving production issues. Basic Qualifications: - 3+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - Experience programming with at least one software programming language Preferred Qualifications: - 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent 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. The base salary range for this position is listed below. As a total compensation company, Amazon's package may include other elements such as sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon offers comprehensive benefits including health insurance (medical, dental, vision, prescription, basic life & AD&D insurance), Registered Retirement Savings Plan (RRSP), Deferred Profit Sharing Plan (DPSP), paid time off, and other resources to improve health and well-being. We thank all applicants for their interest, however only those interviewed will be advised as to hiring status. CAN, ON, Toronto - 114,800.00 - 191,800.00 CAD annually", "summaryDescription" : "Software Development Engineer, Alexa Edge AI at Amazon Development Centre Canada ULC. Skills: Edge AI, Software development, Cloud-native architecture. Collaborate and communicate effectively. Design innovative products", "postedDate" : "2026-06-13T03:13:54.650", "createdAt" : "2026-06-13T03:13:54.650", "lastUpdated" : "2026-06-15T03:18:29.719", "ingestTimestamp" : "2026-06-13T03:13:54.650", "mongoId" : "69fda4e54c40e2acd1b99a4d", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10412538/apply", "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Software development", "System design", "Architecture", "Edge AI", "Cloud-native architecture", "Agile", "CI/CD", "Distributed computing", "Distributed systems" ], "skillCount" : 9, "jobCategory" : "engineering", "dataQualityScore" : 0.8888889, "_score" : 1163.8982, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true }, { "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, "_score" : 1161.6718, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a24e74874d8ee00a0024929", "title" : "C++ Developer (m/f/d)", "company" : "Commerzbank AG", "industry" : "Banking", "salary" : { "min" : 140000.0, "max" : 200000.0, "currency" : "PLN", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level C++ Developer in Banking in Lodz, Poland, adjusted for company size and industry." }, "location" : "Łódź, PL", "locations" : [ "Łódź", "PL" ], "timestamp" : "2026-06-15T10:12:22.635", "fingerprint" : "82b0d55bea4e1e97c0a5d1d41f6ba06c386383d7410890f40c3ce139c7fe7a65", "source" : "breezyhr", "language" : "en", "applyUrl" : "https://commerzbank-poland.breezy.hr/p/1ffa7f79098d01-c-developer-m-f-d", "externalId" : "1ffa7f79098d01", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Łódź", "country" : "Poland", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "51.7728245,19.4784857" } ], "locationText" : "Łódź, Poland", "employmentType" : "FULL_TIME", "technicalSkills" : "C++", "coreResponsibilities" : "Deliver internal APIs, Deliver external APIs, Deliver base-services", "domainKnowledge" : "Credit rating; Credit business", "domainList" : [ "credit-rating", "credit-business" ], "domainSpecificKnowledge" : [ "Credit rating", "Credit business" ], "remoteFriendly" : true, "rawDescription" : "\uD83D\uDCE2 Join our team as a C++ Developer! \uD83D\uDCE2 Within the cluster Risk Models & Calculations we deliver: Internal and external APIs for the credit rating (e. g. credit application, credit decision) for inhouse frontends, customers and intermediaries etc.Base-services for Commerzbank credit business (e.", "summaryDescription" : "C++ Developer (m/f/d) at Commerzbank AG. Deliver internal APIs. Deliver external APIs", "createdAt" : "2026-06-13T23:32:02.134", "lastUpdated" : "2026-06-15T10:12:22.635", "ingestTimestamp" : "2026-06-13T23:32:02.134", "mongoId" : "6a24e74874d8ee00a0024929", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Credit rating", "Credit business" ], "skillCount" : 2, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "_score" : 1157.9901, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Banking", "llmIndustryConfidence" : 0.95 }, { "id" : "6a307371f292fd229c00211b", "title" : "Young Graduate Data & AI Engineer (m/f)", "company" : "ARHS", "industry" : "Information Technology And Services", "salary" : { "min" : 52000.0, "max" : 65000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for entry-level Data & AI Engineers in Luxembourg, adjusted for the technology industry and company size." }, "location" : "Luxembourg, Luxembourg, LU", "locations" : [ "Luxembourg", "Luxembourg", "LU" ], "timestamp" : "2026-06-16T13:41:43.227", "fingerprint" : "f0aae7c4a6869814ce8621ce93ae93fcff05a8446851047a8c427cb0666b6585", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/ARHS/744000132161436-young-graduate-data-ai-engineer-m-f-", "externalId" : "744000132161436", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Luxembourg", "state" : "Luxembourg", "country" : "Luxembourg", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "49.5999681,6.1342493" } ], "locationText" : "Luxembourg, Luxembourg, Luxembourg", "employmentType" : "FULL_TIME", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "entry", "technicalSkills" : "Python, NLP, Computer vision, Large Language Models, Machine learning, AI, APIs, FastAPI, Azure, AWS, Cloud-native architectures, Serverless architectures, Event-driven architectures, DevOps, Version control, Automation, Mistral, LLaMA, Java, NET, TypeScript, Spring Boot", "professionalSkills" : [ "Software engineering", "Data preparation", "Model experimentation", "Deployment", "Monitoring", "Information extraction", "Text classification", "Document enrichment", "Chatbot development", "API development", "Cloud deployment", "Scalable software engineering", "Secure deployment" ], "hardSkillsList" : [ "Machine learning fundamentals", "REST APIs", "Backend service development", "Collaborative software development", "Prompt engineering", "Retrieval-Augmented Generation", "Document understanding", "Infrastructure-as-Code" ], "softSkillsList" : [ "Analytical mindset", "Problem-solving attitude" ], "hardSkills" : [ { "name" : "Machine learning fundamentals", "level" : "intermediate" }, { "name" : "REST APIs", "level" : "intermediate" }, { "name" : "Backend service development", "level" : "intermediate" }, { "name" : "Collaborative software development", "level" : "intermediate" }, { "name" : "Prompt engineering", "level" : "intermediate" }, { "name" : "Retrieval-Augmented Generation", "level" : "intermediate" }, { "name" : "Document understanding", "level" : "intermediate" }, { "name" : "Infrastructure-as-Code", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Analytical mindset" }, { "name" : "Problem-solving attitude" } ], "majorSkills" : "Machine Learning, NLP, Cloud Deployment", "majorSkillsList" : [ "Machine Learning", "NLP", "Cloud Deployment" ], "coreResponsibilities" : "Support development of AI and machine learning pipelines, Prepare data, Experiment with models, Deploy models, Monitor models, Contribute to implementation of LLM-based solutions, Assist in building NLP solutions, Develop and expose ML models through APIs, Participate in AI workload deployment on cloud platforms, Support integration of AI services into architectures, Contribute to testing of AI solutions, Contribute to documentation of AI solutions, Contribute to continuous improvement of AI solutions, Learn and apply good engineering practices", "teamCollaboration" : "Experienced engineers; Project teams; Senior team members; Colleagues", "projectManagementSkills" : [ "Agile", "DevOps" ], "domainKnowledge" : "AI engineering; Cloud technologies; Applied machine learning; LLMs; NLP; Document intelligence; Cloud deployment; Scalable software engineering; Computer vision; On-premises environments; Edge environments; Information extraction; Text classification; Semantic search; Document enrichment; Chatbot development; Cloud-native architectures; Serverless architectures; Event-driven architectures; Vector databases; Prompt engineering; Retrieval-Augmented Generation; Document understanding", "domainList" : [ "ai-engineering", "cloud-technologies", "applied-machine-learning", "llms", "nlp", "document-intelligence", "cloud-deployment", "scalable-software-engineering", "computer-vision", "on-premises-environments", "edge-environments", "information-extraction", "text-classification", "semantic-search", "document-enrichment", "chatbot-development", "cloud-native-architectures", "serverless-architectures", "event-driven-architectures", "vector-databases", "prompt-engineering", "retrieval-augmented-generation", "document-understanding" ], "domainSpecificKnowledge" : [ "AI engineering", "Cloud technologies", "Applied machine learning", "LLMs", "NLP", "Document intelligence", "Cloud deployment", "Scalable software engineering", "Computer vision", "On-premises environments", "Edge environments", "Information extraction", "Text classification", "Semantic search", "Document enrichment", "Chatbot development", "Cloud-native architectures", "Serverless architectures", "Event-driven architectures", "Vector databases", "Prompt engineering", "Retrieval-Augmented Generation", "Document understanding" ], "toolProficiency" : [ "Git", "Docker", "GitHub Actions", "Terraform", "Ansible", "Mistral", "LLaMA" ], "communicationSkills" : "English; French", "documentationSkills" : "Documentation habits; Documentation of AI solutions", "continuousLearning" : "Willingness to learn new AI and cloud technologies", "problemSolvingSkills" : "Problem-solving attitude", "qualificationsBasic" : "Bachelor's or Master's degree, Academic, internship, or project experience in AI, data science, machine learning, or software engineering, Good knowledge of Python, Basic understanding of REST APIs, Basic understanding of backend service development, Familiarity with Git, Familiarity with collaborative software development practices, Understanding of machine learning fundamentals, Exposure to NLP, transformers, embeddings, or Large Language Models, Good communication skills in English or French", "qualificationsPreferred" : "Interest in prompt engineering, Interest in Retrieval-Augmented Generation, Interest in chatbot development, Interest in OCR, Interest in document understanding, Experience with academic, personal, or internship projects involving AI/ML, Awareness of cloud platforms, Awareness of Docker, Awareness of CI/CD, Awareness of GitHub Actions, Awareness of Infrastructure-as-Code concepts, Interest in learning how AI solutions are deployed, monitored, and maintained in production environments, Vector databases knowledge, Semantic search knowledge, Embeddings knowledge, Event-driven architectures knowledge, Traditional software development experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Arηs Group, Part of Accenture, specializes in the management of complex public sector IT projects, including systems integration, informatics and analytics, solution implementation and program management. Our team helps lead clients through digital and information systems design, bringing expertise in a variety of areas ranging from software development, data science and security management to machine learning, cloud, and mobile development. Arηs Group was acquired by Accenture in July 2024. At ARHS Group part of Accenture we are looking for a motivatedrecent graduate with a strong interest in AI engineering, cloud technologies, and applied machine learning. The ideal candidate combines technical curiosity with a hands-on mindset and is eager to grow by contributing to real-world AI projects involving LLMs, NLP, document intelligence, cloud deployment, and scalable software engineering. As a Young Graduate Data & AI Engineer (m/f), you will contribute to the design, development, and deployment of intelligent data and AI solutions using technologies such as NLP, computer vision, and Large Language Models. You will work closely with experienced engineers and project teams to transform data into practical, secure, and scalable AI-driven solutions, while growing your technical expertise across cloud, on-premises, and edge environments. THE WORK: * Support the development of AI and machine learning pipelines covering data preparation, model experimentation, deployment, and monitoring. * Contribute to the implementation of LLM-based solutions, including the use of open-source models such as Mistral or LLaMA, under the guidance of senior team members. * Assist in building NLP solutions for use cases such as information extraction, text classification, semantic search, document enrichment, and chatbot development. * Help develop and expose ML models through APIs using Python frameworks such as FastAPI or equivalent technologies. * Participate in AI workload deployment on cloud platforms such as Azure or AWS. * Support the integration of AI services into cloud-native, serverless, or event-driven architectures. * Contribute to testing, documentation, and continuous improvement of AI solutions. * Learn and apply good engineering practices related to DevOps, version control, automation, and secure deployment. The work location for this role is an ARHS – Part of Accenture office. Our roles require in-person time to encourage collaboration, learning, and relationship-building with clients, colleagues, and communities. As an employer, we will be as flexible as possible to support your specific work/life needs. HERE’S WHAT YOU’LL NEED: * Candidates must have completed a Bachelor's or Master's degree in Data Science, Artificial Intelligence, Computer Science, Machine Learning , Analytics, or a related field. * A first academic, internship, or project experience in AI, data science, machine learning, or software engineering is expected. Programming & APIs * Good knowledge of Python. Basic understanding of REST APIs and backend service development. * Familiarity with Git and collaborative software development practices. AI, NLP & Machine Learning * Understanding of machine learning fundamentals. * Exposure to NLP, transformers, embeddings, or Large Language Models. * Interest in prompt engineering, Retrieval-Augmented Generation, chatbot development, OCR, or document understanding. * Experience with academic, personal, or internship projects involving AI/ML is highly valued. Cloud & Engineering Practices * Awareness of cloud platforms. * Awareness of Docker, CI/CD, GitHub Actions, or Infrastructure-as-Code concepts such as Terraform or Ansible. * Interest in learning how AI solutions are deployed, monitored, and maintained in production environments. Soft Skills * Good communication skills in English or French. * Curiosity and willingness to learn new AI and cloud technologies. * Good documentation habits. * Analytical mindset and problem-solving attitude. * Ability to work in a team and receive guidance from more experienced colleagues. * Interest in Agile, DevOps, and collaborative delivery practices. BONUS POINTS IF YOU HAVE: * Vector databases, semantic search, and embeddings knowledge/ * Event-driven architectures such as Azure Functions, Service Bus, or Event Grid. * Traditional software development using Java, .NET, TypeScript, Spring Boot, or similar technologies.", "summaryDescription" : "Young Graduate Data & AI Engineer (m/f) at ARHS. Skills: Machine Learning, NLP, Cloud Deployment. Support development of AI and machine learning pipelines. 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"Cloud technologies", "Applied machine learning", "LLMs", "Document intelligence", "Computer vision", "On-premises environments", "Edge environments", "Semantic search", "Cloud-native architectures", "Serverless architectures", "Event-driven architectures", "Vector databases", "Git", "Docker", "GitHub Actions", "Terraform", "Ansible", "Mistral", "LLaMA" ], "skillCount" : 48, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Entry", "dataQualityScore" : 1.0, "_score" : 1156.2233, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a306986f292fd229cfc8900", "title" : "Young Graduate Data & AI Engineer (m/f)", "company" : "ARHS", "industry" : "Information Technology And Services", "salary" : { "min" : 52000.0, "max" : 65000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for an entry-level Data & AI Engineer in Luxembourg, Luxembourg, adjusted for the technology industry and company size." }, "location" : "Luxembourg, Luxembourg, LU", "locations" : [ "Luxembourg", "Luxembourg", "LU" ], "timestamp" : "2026-06-16T10:58:10.610", "fingerprint" : "68dd84d7bac0a37bde0c58f13092716b53666b80461bac1b7762c288ff8463ea", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/ARHS/744000132161436-young-graduate-data-ai-engineer-m-f-", "externalId" : "744000132161436", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Luxembourg", "state" : "Luxembourg", "country" : "Luxembourg", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "49.5999681,6.1342493" } ], "locationText" : "Luxembourg, Luxembourg, Luxembourg", "employmentType" : "FULL_TIME", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "entry", "technicalSkills" : "Python, NLP, Computer vision, Large Language Models, FastAPI, Azure, AWS, Docker, CI/CD, GitHub Actions, 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Learning", "Cloud Technologies", "LLMs", "NLP" ], "coreResponsibilities" : "Support AI/ML pipeline development, Prepare data for models, Experiment with models, Deploy models, Monitor models, Contribute to LLM solution implementation, Assist in building NLP solutions, Develop and expose ML models via APIs, Participate in AI workload deployment, Support AI service integration, Contribute to testing AI solutions, Contribute to documentation of AI solutions, Contribute to continuous improvement of AI solutions, Learn engineering practices, Apply engineering practices", "teamCollaboration" : "Experienced engineers; Project teams; Senior team members; Cross-functional teams", "projectManagementSkills" : [ "Agile", "DevOps" ], "domainKnowledge" : "AI engineering; Cloud technologies; Applied machine learning; LLMs; NLP; Document intelligence; Cloud deployment; Scalable software engineering; Computer vision; On-premises environments; Edge environments; Transformers; Embeddings; Prompt engineering; Retrieval-Augmented Generation; Chatbot development; OCR; Document understanding; Cloud-native architectures; Serverless architectures; Event-driven architectures", "domainList" : [ "ai-engineering", "cloud-technologies", "applied-machine-learning", "llms", "nlp", "document-intelligence", "cloud-deployment", "scalable-software-engineering", "computer-vision", "on-premises-environments", "edge-environments", "transformers", "embeddings", "prompt-engineering", "retrieval-augmented-generation", "chatbot-development", "ocr", "document-understanding", "cloud-native-architectures", "serverless-architectures", "event-driven-architectures" ], "domainSpecificKnowledge" : [ "AI engineering", "Cloud technologies", "Applied machine learning", "LLMs", "NLP", "Document intelligence", "Cloud deployment", "Scalable software engineering", "Computer vision", "On-premises environments", "Edge environments", "Transformers", "Embeddings", "Prompt engineering", "Retrieval-Augmented Generation", "Chatbot development", "OCR", "Document understanding", "Cloud-native architectures", "Serverless architectures", "Event-driven architectures" ], "toolProficiency" : [ "Git", "FastAPI", "Docker", "GitHub Actions", "Terraform", "Ansible" ], "communicationSkills" : "English communication; French communication", "documentationSkills" : "Good documentation habits", "continuousLearning" : "Willingness to learn new technologies", "problemSolvingSkills" : "Problem-solving attitude", "qualificationsBasic" : "Bachelor's or Master's degree, Python knowledge, REST APIs understanding, Git familiarity, Machine learning fundamentals understanding, English or French communication skills", "qualificationsPreferred" : "Vector databases knowledge, Semantic search knowledge, Embeddings knowledge, Event-driven architectures experience, Traditional software development experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Arηs Group, Part of Accenture, specializes in the management of complex public sector IT projects, including systems integration, informatics and analytics, solution implementation and program management. Our team helps lead clients through digital and information systems design, bringing expertise in a variety of areas ranging from software development, data science and security management to machine learning, cloud, and mobile development. Arηs Group was acquired by Accenture in July 2024. At ARHS Group part of Accenture we are looking for a motivatedrecent graduate with a strong interest in AI engineering, cloud technologies, and applied machine learning. The ideal candidate combines technical curiosity with a hands-on mindset and is eager to grow by contributing to real-world AI projects involving LLMs, NLP, document intelligence, cloud deployment, and scalable software engineering. As a Young Graduate Data & AI Engineer (m/f), you will contribute to the design, development, and deployment of intelligent data and AI solutions using technologies such as NLP, computer vision, and Large Language Models. You will work closely with experienced engineers and project teams to transform data into practical, secure, and scalable AI-driven solutions, while growing your technical expertise across cloud, on-premises, and edge environments. THE WORK: * Support the development of AI and machine learning pipelines covering data preparation, model experimentation, deployment, and monitoring. * Contribute to the implementation of LLM-based solutions, including the use of open-source models such as Mistral or LLaMA, under the guidance of senior team members. * Assist in building NLP solutions for use cases such as information extraction, text classification, semantic search, document enrichment, and chatbot development. * Help develop and expose ML models through APIs using Python frameworks such as FastAPI or equivalent technologies. * Participate in AI workload deployment on cloud platforms such as Azure or AWS. * Support the integration of AI services into cloud-native, serverless, or event-driven architectures. * Contribute to testing, documentation, and continuous improvement of AI solutions. * Learn and apply good engineering practices related to DevOps, version control, automation, and secure deployment. The work location for this role is an ARHS – Part of Accenture office. Our roles require in-person time to encourage collaboration, learning, and relationship-building with clients, colleagues, and communities. As an employer, we will be as flexible as possible to support your specific work/life needs. HERE’S WHAT YOU’LL NEED: * Candidates must have completed a Bachelor's or Master's degree in Data Science, Artificial Intelligence, Computer Science, Machine Learning , Analytics, or a related field. * A first academic, internship, or project experience in AI, data science, machine learning, or software engineering is expected. Programming & APIs * Good knowledge of Python. Basic understanding of REST APIs and backend service development. * Familiarity with Git and collaborative software development practices. AI, NLP & Machine Learning * Understanding of machine learning fundamentals. * Exposure to NLP, transformers, embeddings, or Large Language Models. * Interest in prompt engineering, Retrieval-Augmented Generation, chatbot development, OCR, or document understanding. * Experience with academic, personal, or internship projects involving AI/ML is highly valued. Cloud & Engineering Practices * Awareness of cloud platforms. * Awareness of Docker, CI/CD, GitHub Actions, or Infrastructure-as-Code concepts such as Terraform or Ansible. * Interest in learning how AI solutions are deployed, monitored, and maintained in production environments. Soft Skills * Good communication skills in English or French. * Curiosity and willingness to learn new AI and cloud technologies. * Good documentation habits. * Analytical mindset and problem-solving attitude. * Ability to work in a team and receive guidance from more experienced colleagues. * Interest in Agile, DevOps, and collaborative delivery practices. BONUS POINTS IF YOU HAVE: * Vector databases, semantic search, and embeddings knowledge/ * Event-driven architectures such as Azure Functions, Service Bus, or Event Grid. * Traditional software development using Java, .NET, TypeScript, Spring Boot, or similar technologies.", "summaryDescription" : "Young Graduate Data & AI Engineer (m/f) at ARHS. Skills: Machine Learning, Cloud Technologies, LLMs, NLP. Support AI/ML pipeline development. 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With Product, Legal, Compliance; With Staff and Senior ML Engineers", "domainKnowledge" : "Clinical NLP; LLM fine-tuning; LLM evaluation; Automatic speech recognition; RAG systems; Reinforcement learning; EU healthcare regulations; GDPR; MDR; EU AI Act; Clinical data; Healthcare applications", "domainList" : [ "clinical-nlp", "llm-fine-tuning", "llm-evaluation", "automatic-speech-recognition", "rag-systems", "reinforcement-learning", "eu-healthcare-regulations", "gdpr", "mdr", "eu-ai-act", "clinical-data", "healthcare-applications" ], "domainSpecificKnowledge" : [ "Clinical NLP", "LLM fine-tuning", "LLM evaluation", "Automatic speech recognition", "RAG systems", "Reinforcement learning", "EU healthcare regulations", "GDPR", "MDR", "EU AI Act", "Clinical data", "Healthcare applications" ], "toolProficiency" : [ "VLLM" ], "communicationSkills" : "Explain technical decisions", "continuousLearning" : "Dedicated training", "innovationCreativity" : "Innovative products", "outcomesObjectives" : "Measurably improve outcomes for care teams; Measurably improve outcomes for patients", "qualificationsBasic" : "10+ years in ML/AI, 3+ years at Staff+ or Principal level, Expert in Python, Expert in PyTorch/Transformers, Expert in vLLM, Track record deploying ML systems in production, PhD in Computer Science, AI, Statistics, or related field, Exceptional communication skills", "qualificationsPreferred" : "Publications in top-tier ML/AI conferences, Experience with EU healthcare regulations, Prior work with clinical data, Prior work with healthcare applications", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "What you’ll do We are looking for a Principal Machine Learning Engineer to join the DS & AI organization at Doctolib. This is a transversal force multiplier role operating across all AI teams: Clinical, Productivity, Phone Assistant and ASR. Rather than working within a single feature team, you will own the cross-cutting technical challenges: defining how Doctolib's product and AI teams build agentic solutions, standardizing ML evaluation frameworks, and spreading strong engineering practices across the org. You will unblock teams, shape architecture decisions, and take on the deep technical work that requires senior ML judgment at scale, directly impacting the daily lives of 400,000 healthcare professionals and the health of 80 million patients. Building at Doctolib means delivering innovative products that measurably improve outcomes for care teams and patients alike. Technical Strategy & Architecture - Own cross-team ML architecture decisions, from model selection to production deployment patterns and strategic build vs. buy decisions - Define and drive adoption of rigorous evaluation frameworks across all AI teams, setting the standard for how Doctolib measures model and agentic performance - Establish shared production infrastructure patterns for AI: model and prompt versioning, guardrails, uncertainty quantification, cost optimization, and observability - Lead the technical design of agentic solutions and define how product teams across Doctolib build on top of AI capabilities - Elevate technical standards across the DS & AI org by influencing Staff and Senior ML Engineers through architecture reviews, technical guidance, and practice propagation - Partner with Product, Legal, and Compliance teams to ensure safe rollout and meet EU regulatory expectations (GDPR, MDR, EU AI Act) Who you are Before you read on, if you don't have the exact profile described below, but you feel this job description matches your skill set, we still encourage you to apply. You'll be a great fit if: - You have 10+ years in ML/AI with 3+ years at Staff+ or Principal level leading complex, multi-team technical initiatives - You have deep expertise in at least two of: clinical NLP, LLM fine-tuning and evaluation, automatic speech recognition, RAG systems, or reinforcement learning - You are expert in Python, PyTorch/Transformers for training, and vLLM for inference with a track record deploying ML systems in production (AWS/GCP) - You have a PhD in Computer Science, AI, Statistics, or related field (or equivalent research experience) - You have exceptional communication skills and are able to align diverse stakeholders and explain complex technical decisions Now it would be fantastic if you have: - Publications in top-tier ML/AI conferences (NeurIPS, ICLR, ACL) or medical informatics venues - Experience with EU healthcare regulations (GDPR, MDR, AI Act) - Prior work with clinical data or healthcare applications Life at Doctolib Tech - Our solutions are built on a single fully cloud-native platform supporting web and mobile interfaces across multiple languages and healthcare specialties. - Our stack includes Rails, TypeScript, Java, Python, Kotlin, Swift, and React Native. - We leverage AI ethically to empower patients and professionals. Discover our AI vision here https://careers.doctolib.com/ai-careers/. Want to learn more about our tech culture and environment? Visit the Doctolib Tech site https://careers.doctolib.com/tech-doctolib/. What we offer - Free comprehensive health insurance for you and your children - 25 days of paid vacation per year, plus up to 14 days of RTT - Free mental health and coaching services through our partner Moka.care - Work from abroad for up to 10 days per year thanks to our flexibility days policy - Lunch vouchers with Swile card (€8.50 value, €4.50 covered by Doctolib) - Work Council subsidy for sports club memberships or creative classes - 50% reimbursement of your public transport subscription - Parent Care Program: one additional month of leave on top of legal parental leave - For caregivers and workers with disabilities: remote policy adaptation, extra medical leave, and psychological support - Relocation support for international mobility - Access to premium AI tools for development and dedicated training The interview process - HR Screen - Hiring Manager Interview - Technical Interview - Technical Case Study - Behavioral Interview - At least one reference check We want your experience to be clear, respectful, and transparent. Learn more on our candidate experience page https://careers.doctolib.com/tech-doctolib/getting-hired/. Job details - Permanent position - Full-time - Paris, France - Hybrid work mode (up to 2 remote days per week) - Start date: as soon as possible We welcome everyone At Doctolib, we believe in improving access to healthcare for everyone - regardless of where you come from or what you look like. We evaluate candidates based solely on qualifications and motivation, without any form of discrimination. We respect and celebrate diversity! The more diverse ideas are heard, the more our product will truly improve healthcare for all. You are welcome to apply regardless of gender, religion, age, sexual orientation, ethnicity, disability, or place of origin. To ensure equal opportunities, we invite you to exclude personal information (e.g., pictures, age) from your applications. If you have a disability, let us know if there's any way we can make the interview process smoother for you! Join us in building the healthcare we all dream of. Your data privacy All information transmitted via this form is processed by Doctolib for application management. For more on how we process your data, click here https://doctolib.legal/B2C-Privacy-Policy-Career-FR. For inquiries or to exercise your rights, contact us at hr.dataprivacy(at)doctolib.com.", "summaryDescription" : "Principal Machine Learning Engineer - Applied AI & LLMs (x/f/m) at Doctolib. Skills: Machine Learning, Applied AI, LLMs, Agentic solutions. Own cross-team ML architecture decisions. 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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. 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We work at the frontier of AI, tackling big, real-world problems for global enterprises across multiple industries, armed with state-of-the-art technology and a culture that prizes courage, rigor, and relentless curiosity. Our BRAVER values aren't just words on a wall — they describe the kind of people we are and the standard we hold ourselves to every day. Our leadership team is entrepreneurial, experienced, and accessible, with an open-door policy that means you'll never be just a number here. We invest seriously in your growth because we know our success depends on yours. If you're ready to work alongside some of the brightest minds in the industry, push into uncharted territory, and do work that genuinely matters, Future Secure AI is the place for you. Future Secure AI (FSAI) is a leading enterprise AI company that was created in deep partnership with one of the world's largest financial institutions. Operating as an enterprise company with deep relationships at C-suite with large global enterprises, FSAI believes humans and AI Workers will collaborate seamlessly to raise organisational performance. FSAI has dozens of partnerships with leading companies in most industries and regions globally. FSAI has a strategic focus on expanding globally as we continue our extraordinary journey to transform the world with the most cutting-edge artificial intelligence We're hiring a Principal Software Engineer (AI) to help set the technical direction of our products and platform. You'll provide technical leadership across squads, projects, and product, shaping architectural decisions and working closely with engineering and customer delivery teams. If you do your best work when the problem is ambiguous and the stakes are high, you'll fit here. What you'll be doing Shaping architectural decisions for our AI Co-Worker systems, enabling enterprise customers to deploy persona-based AI Co-Workers that perform complex, end-to-end operational workflows through their own secure platform. Designing human-in-the-loop systems that keep humans in control of AI Co-Workers operating in mission-critical environments. Setting the technical standards and patterns other engineers will build on. Bringing novel approaches to how deterministic and non-deterministic systems are combined in production AI products. Ensuring our platform remains model-agnostic, integrating LLMs and AI frameworks from both established and emerging vendors. Working closely with customers to deeply understand their needs and make sure solutions exceed their expectations. Your application should demonstrate 10+ years of software development experience, with deep hands-on AI work. Strong Coding fundamentals, we primarily use Node.js and typescript Experience with AI frameworks and orchestration tools such as LangChain or LangGraph. Experience building systems where security and data governance are first-class design constraints, not afterthoughts. A track record of shaping and defending architectural decisions in complex, production environments. The communication skills to align technical and non-technical stakeholders around hard trade-offs. Sharp problem-solving instincts and the follow-through to match. Why join us You'll have genuine influence over the technical direction of a fast-growing AI product company, technical leadership across the full breadth of our product, and a direct line into senior leadership. Future Secure AI Privacy Policy At Future Secure AI, we are committed to protecting your privacy and adhering to the principles of the General Data Protection Regulation (GDPR) and the Australian Privacy Principles (APPs) under the Privacy Act 1988 (Cth). Our Privacy Policy outlines how we collect, use, share, and protect your personal data when you visit our website at www.futuresecure.ai (the \"Website\") and use our services.", "summaryDescription" : "Principal Software Engineer (AI) at Future Secure AI. Skills: AI, Software architecture, Enterprise AI. Shape architectural decisions. 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We're looking for an AI Product Lead (m/f/d) to own one of the most technically ambitious and commercially consequential AI initiatives in European B2B. Our partner company is a leading B2B mobility and payment solutions provider active in 50+ countries, with around 2,700 employees and €19 billion in transaction volume. As the business enters its next phase, it is investing heavily in data and AI to strengthen its market position at scale. You will own the full Sales Models portfolio - Next Best Action, Churn, Customer Lifetime Value, and adjacent use cases - and lead a cross-functional team of Data Scientists and Engineers to deliver it. You set the roadmap, the technical standard, and the business case. You translate model outputs into decisions that reach C-level, and field reality into model improvements. This is not a coordination role. You define what gets built, in which order, and why. In this role, you’ll: Own the product roadmap for the Sales Models portfolio: NBA engine, Churn integration, CLV modeling, and adjacent use cases such as cross-/upsell logic and share-of-wallet estimation Lead a cross-functional team of 3-5 Data Scientists and 1-2 Engineers with full functional authority: technical direction, prioritization, sprint cadence, quality gates, and delivery Drive integration of sales models into operative systems (Dynamics 365, Power BI) and own the feedback loop between field sales, CRM data, and model iteration - turning market signals into systematic improvements Translate GTM requirements into model specifications and model constraints into business-actionable trade-offs for senior leadership, while building the governance infrastructure that makes the portfolio sustainable at scale Your Profile: 5-7 years at the intersection of Data Science, AI Product Management, and Engineering, ideally combining two of: a top-tier consultancy data science practice, a Lead Data Scientist role with team responsibility, or an AI/ML PM role at a scale-up Technically deep (Python, SQL, ML frameworks, cloud data infrastructure) and able to lead Data Scientists credibly: setting direction on model architecture, reviewing feature engineering choices, and stepping into the code when needed You think in business cases and revenue impact, not just model accuracy - and can communicate trade-offs clearly to both a CCO and a Data Scientist Fluent in German and English; willingness to travel within Europe 1-2 times per month Please note that this position is based close to Düsseldorf. At least three days per week on-site are preferred. Benefits and Perks: Full ownership from day one: roadmap, team direction, and outcomes - not a slice of someone else's initiative Direct C-level visibility on one of the company's most strategically important AI programs, with a clear path into broader product and leadership roles An international environment spanning HQ strategy to field sales across European markets, with flexible hybrid working and additional perks including Jobrad eBike leasing and parent-child offices If you’re eager to join the A11 Ecosystem and shape what’s next, we want to hear from you! Our Commitment to Diversity and Inclusion A11 is committed to diverse and equal opportunities hiring for all – applicants, candidates, and employees alike. We value humans – with all our glorious multifaceted backgrounds, perspectives, and experiences – and look forward to your application.", "summaryDescription" : "AI Product Lead (m/f/d) at A11. 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Technical decisions; External representation", "documentationSkills" : "Design documents", "problemSolvingSkills" : "Root cause analysis; Reasoning; Planning; Troubleshooting", "outcomesObjectives" : "Produce long-term outcomes; Align executives on platform strategy; Hold leaders accountable for adoption", "qualificationsBasic" : "10+ years software engineering, 3+ years ML/LLM systems, Company-wide technical leadership, Internal platform experience, Python backend expertise, Write clear design documents", "qualificationsPreferred" : "Production agentic systems, MCP, LangGraph, LlamaIndex, Langfuse, LangSmith, Braintrust, RAG pipelines, vector databases, Embedding strategies, knowledge graphs, B2B SaaS experience, Industrial software experience, IoT/OT experience", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "MaintainX is the world's leading AI-powered maintenance and asset management platform, serving 13,000+ customers including Duracell, Shell, Cintas, and Brenntag. We raised $150M in Series D funding https://www.getmaintainx.com/newsroom/maintainx-raises-150m led by Bessemer Venture Partners and Bain Capital Ventures, bringing our total funding to $254M. We were named to the Forbes 2025 Cloud 100 https://www.getmaintainx.com/blog/maintainx-named-to-2025-forbes-cloud-100, the definitive ranking of the top 100 private cloud companies in the world. We're growing fast and hiring the talent to match. ABOUT MAINTAINX MaintainX is the world's leading mobile-first work execution platform for industrial and frontline teams. We help over 13,000 customers, including Duracell, Shell, Marriott, McDonald's, Volvo, DHL, and AB InBev, reduce unplanned downtime and run more efficient operations. In July 2025 we closed a $150M Series D led by Bessemer Venture Partners, bringing total funding to $254M at a $2.5B valuation. We were named to the 2025 Forbes Cloud 100, Forbes America's Best Startup Employers 2025, and ranked #1 in EAM and CMMS on G2's Summer 2025 report. The market is at a turning point. Manufacturing will need to fill 3.8 million vacant jobs through 2033. Technicians spend roughly 60% of their time on paperwork and research instead of actual wrench work. Most manufacturers expect to adopt AI-driven maintenance at scale by 2027. Our AI Platform is how we make that transition real for the frontline. THE ROLE Our AI Platform is the catalog of Agents, Skills, and Tools that every product engineer at MaintainX assembles to ship AI-powered features. CoPilot, Root Cause Analysis, the Parts Agent, and the Scheduling Agent all run on it. As Principal Engineer, you will own the technical vision for the AI platform and scale it to match our ambition. This is a senior individual contributor role reporting to VP of Engineering. You will lead through architecture, high-leverage technical decisions and products that produce long-term company outcomes. You will set direction across multiple divisions, align executives on platform strategy, and hold leaders accountable for engineering-wide adoption. What you will own: - Define the Agent / Skill / Tool architecture. Evolve the platform so agents can reason, plan, and collaborate, skills are discoverable and reused across workflows, and tools expose structured, permission-aware access to operational data. Design for progressive autonomy as trust, reliability, and governance mature. - Scale the context graph. Architect the retrieval and knowledge systems that turn 14,000+ digitized equipment manuals, 370,000+ procedures created yearly, and 27M+ annual work orders into customer-specific intelligence with cross-asset reasoning. - Build the developer experience. Own agent orchestration, an MCP tool registry, reproducible dev environments, and the observability layer that makes agents trustworthy at scale. Engineers should define agent behavior through schemas and prompts while the platform handles routing, validation, evaluation, and observability. - Build the evaluation and feedback loop. Design offline and online evaluation systems so every user interaction (accept, refine, override) improves agent performance. - Drive cross-division alignment. Partner with product engineering teams across Plant Setup, Maintenance Planning, Maintenance Execution, Reliability Engineering, Parts & Purchasing, and Reporting. Represent MaintainX engineering internally and externally. YOU HAVE - 10+ years of software engineering experience, with significant depth in backend systems, distributed architecture, or platform / infrastructure engineering. - 3+ years building ML or LLM-powered systems in production, with real operating experience around evaluation, latency, cost, and reliability. - A track record of company-wide technical leadership at the Principal level. You have defined architecture for systems used by multiple teams, influenced engineering strategy beyond a single division, and held leaders accountable for adoption. - Internal platform experience where your customers are other engineers. You treat developer experience as a product: adoption, documentation, enablement, and ergonomics are first-class. - Strong Python backend expertise, with experience designing APIs, services, and data pipelines. - The ability to write a clear design document, facilitate a technical decision across teams, and represent engineering externally with credibility. Nice to have: - Production agentic systems: multi-agent orchestration, tool use, skill registries. - MCP, LangGraph, LlamaIndex, plus evaluation and observability platforms like Langfuse, LangSmith, or Braintrust. - RAG pipelines, vector databases, embedding strategies, and knowledge graphs at scale. - B2B SaaS, industrial software, IoT / OT, or other domains where AI must operate with high reliability and domain-specific context. WE OFFER - Competitive base, equity, and variable comp aligned to role and location. - Equity in a high-growth, post-Series D company. - Day-1 health, dental, and vision coverage. - Unlimited PTO, which we actually take. - Flexible token limits. - Work from our San Francisco, Toronto, or Montreal hubs, or remote across the United States and Canada. HOW WE WORK We hire for what you have shipped, not what your title was. We promote quickly when people deliver and have honest conversations early when fit isn't right. Output wins. If you would rather shape the architecture that every other engineer builds on than manage headcount, this is the right room. MaintainX is committed to building a diverse and inclusive team. We welcome applications from people of all backgrounds. If you're excited about this role but don't meet every qualification, we encourage you to apply. #LI-Remote Our mission is to deliver one platform for maintenance, repair & operations teams to keep the physical world running. We believe the greatest asset in any organization is the people. That’s why we built an intuitive, mobile-first solution to help boost productivity and collaboration across teams and locations. MaintainX is committed to creating a diverse environment. All qualified applicants will receive consideration for employment without regard to race, colour, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.", "summaryDescription" : "Principal AI Platform Engineer at MaintainX. Skills: AI Platform, Agent architecture, LLM systems, Developer experience. Define Agent/Skill/Tool architecture. Evolve platform for agent reasoning", "createdAt" : "2026-06-14T04:16:21.264", "lastUpdated" : "2026-06-15T13:08:08.037", "ingestTimestamp" : "2026-06-14T04:16:21.264", "mongoId" : "6a2cb0f474d8ee00a09dba50", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 220000, "salaryAnnualMax" : 350000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "MLOps", "LLMOps", "Evaluation systems", "Feedback loops", "Retrieval systems", "Knowledge systems", "AI Platform", "Agent architecture", "LLM systems", "Developer experience", "Technical leadership", "Platform strategy", "System design", "Architecture definition", "Engineering strategy", "Technical decision making", "AI-powered features", "Agentic systems", "Multi-agent orchestration", "Tool use", "Skill registries", "RAG pipelines", "Vector databases", "Embedding strategies", "Knowledge graphs", "B2B SaaS", "Industrial software", "IoT/OT", "High reliability AI", "Domain-specific context", "Langfuse", "LangSmith", "Braintrust" ], "skillCount" : 33, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Executive", "dataQualityScore" : 0.8888889, "_score" : 1136.4904, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a3054a3f292fd229cf1982e", "title" : "Product Owner / SME AI - F/M/X", "company" : "AccorCorpo", "industry" : "Hospitality", "salary" : { "min" : 65000.0, "max" : 95000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Product Owner in the Hospitality industry in Issy-les-Moulineaux, France, with adjustments for company size and AI specialization." }, "location" : "Issy-les-Moulineaux, IDF, France", "locations" : [ "Issy-les-Moulineaux", "IDF", "France" ], "timestamp" : "2026-06-16T09:33:43.220", "fingerprint" : "c7d595305f272146fbff5f2ed708bfab80994d6e1f001b7accdab27c3f833ab1", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/AccorCorpo/744000132172879-product-owner-sme-ai-f-m-x", "externalId" : "744000132172879", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Issy-les-Moulineaux", "state" : "Ile-de-France", "country" : "France", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "48.8250508,2.2734570" } ], "locationText" : "Issy-les-Moulineaux, Ile-de-France, France", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "technicalSkills" : "GenAI, ML Ops, OpenAI, AWS AgentCore, Anthropic, Microsoft Foundry", "professionalSkills" : [ "Business acumen", "Product ownership", "Delivery leadership", "Vendor management", "Budget management", "Risk management", "Ethics compliance" ], "hardSkillsList" : [ "AI use cases", "ML", "GenAI", "Agentic AI", "Data Engineering", "Product roadmap", "Feature prioritization", "Sprint leadership", "Quality assurance", "Time-to-market", "Production readiness", "Change management", "End-user adoption", "ROI measurement", "Business reporting", "Contract management", "SLA management", "GDPR compliance", "Responsible AI", "Security guardrails" ], "softSkillsList" : [ "Leadership", "Take Ownership" ], "hardSkills" : [ { "name" : "AI use cases", "level" : "intermediate" }, { "name" : "ML", "level" : "intermediate" }, { "name" : "GenAI", "level" : "intermediate" }, { "name" : "Agentic AI", "level" : "intermediate" }, { "name" : "Data Engineering", "level" : "intermediate" }, { "name" : "Product roadmap", "level" : "intermediate" }, { "name" : "Feature prioritization", "level" : "intermediate" }, { "name" : "Sprint leadership", "level" : "intermediate" }, { "name" : "Quality assurance", "level" : "intermediate" }, { "name" : "Time-to-market", "level" : "intermediate" }, { "name" : "Production readiness", "level" : "intermediate" }, { "name" : "Change management", "level" : "intermediate" }, { "name" : "End-user adoption", "level" : "intermediate" }, { "name" : "ROI measurement", "level" : "intermediate" }, { "name" : "Business reporting", "level" : "intermediate" }, { "name" : "Contract management", "level" : "intermediate" }, { "name" : "SLA management", "level" : "intermediate" }, { "name" : "GDPR compliance", "level" : "intermediate" }, { "name" : "Responsible AI", "level" : "intermediate" }, { "name" : "Security guardrails", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Take Ownership" } ], "majorSkills" : "Product Management, AI, GenAI, ML Ops", "majorSkillsList" : [ "Product Management", "AI", "GenAI", "ML Ops" ], "coreResponsibilities" : "Capture business needs, Frame AI use cases, Align on KPIs, Own product vision, Own product roadmap, Prioritize features, Lead squad, Drive sprints, Drive quality, Drive time-to-market, Drive production readiness, Drive change management, Drive end-user adoption, Measure usage, Measure ROI, Measure business impact, Report to sponsors, Report to leadership, Steer external partners, Manage budget, Manage contracts, Manage SLAs, Ensure GDPR compliance, Ensure Responsible AI, Ensure security guardrails", "teamCollaboration" : "Business sponsors; AI teams; Data Engineering teams; Data Scientists; AI Engineers; GenAI Engineers; ML Ops; DPO; Legal teams; Compliance teams", "projectManagementSkills" : [ "Product vision", "Roadmap", "Prioritize features", "Sprints", "Time-to-market" ], "domainKnowledge" : "AI vision; ML; GenAI; Agentic AI; Customer experience; Hotel operations; Responsible AI; GDPR", "domainList" : [ "ai-vision", "ml", "genai", "agentic-ai", "customer-experience", "hotel-operations", "responsible-ai", "gdpr" ], "domainSpecificKnowledge" : [ "AI vision", "ML", "GenAI", "Agentic AI", "Customer experience", "Hotel operations", "Responsible AI", "GDPR" ], "toolProficiency" : [ "OpenAI", "AWS AgentCore", "Anthropic", "Microsoft Foundry" ], "communicationSkills" : "Stakeholder management", "continuousLearning" : "Training paths; Learning platform", "innovationCreativity" : "AI vision; Innovation lab", "problemSolvingSkills" : "Business value; Technical feasibility; Risk balancing", "outcomesObjectives" : "Maximise business impact; Ship product; Adopt product; Improve product; Measure usage; Measure ROI; Measure business impact", "qualificationsBasic" : "Master's Degree in Engineering, Data Science, Computer Science or Business School with a Tech/Data grounding, 7+ years experience in Product Management, Consulting or applied AI delivery, At least one major AI / Data Product shipped end-to-end in production", "qualificationsPreferred" : "Experience in hospitality, travel or retail is a plus", "remoteFriendly" : false, "workSiteFlexibility" : "Flexible", "rawDescription" : "\uD83C\uDF0DJoin Accor – a professional journey at the heart of a committed, international and transforming group Accor, a global leader in hospitality, present in more than 110 countries with 5,500 hotels, welcomes you to its offices located in Issy-les-Moulineaux. This is where the Group’s global expertise comes together: strategy, finance, human resources, legal, technology, marketing, sustainability, communication, audit, procurement, etc. Joining Accor means actively contributing to defining, structuring, and supporting the transformation of an international group, in direct connection with operational teams around the world. Accor Tech & Digital is the innovation and technological transformation lab of the world leader in hospitality. Our teams, known as Heartists®, bring together the best of hospitality with the best of tech and digital. Our ambition is to provide our customers with personalized, memorable, and sustainable experiences. Here, we create new ways to travel within each of our 5,500 hotels, connecting closely with our 100 million clients in 110 countries. Here, we are at the heart of an incredible playground for technological transition and the design of digital products and services for our customers and hotel teams. Here, your scope will know no boundaries; So join us and dare to make an impact on the world! This is where your greatest challenge awaits: Reporting to the SVP of Data Science & AI, you will join a team at the heart of the Accor Group’s transformation through data and artificial intelligence. Within the Data department, the Data Science & AI vertical aims to define and implement the Group’s AI vision, to scale up the use of ML, GenAI and Agentic AI, and to maximise the business impact of these technologies on the customer experience, hotel operations and internal teams. You will act as the bridge between business sponsors and the AI / Data Engineering teams, ensuring the right product is built, shipped, adopted and continuously improved. Your mission: * Business Partnership : capture business needs, frame AI use cases, align on KPIs and expected value with stakeholders (Commercial, Marketing, Distribution, Operations, Brand). * Product Ownership: * Own product vision, roadmap and backlog; * Prioritise features balancing business value, technical feasibility and risk. * Delivery Leadership: * Lead an internal/external squad composed of Data Scientists, AI / GenAI Engineers & ML Ops Engineers; * Drive sprints, quality, time-to-market and production readiness. * Adoption & Value Tracking: * Drive change management and end-user adoption; * Measure usage, ROI and business impact; * Report to sponsors and leadership. * Vendor & Budget Management: steer external partners (OpenAI, Giskard, Converteo, Artefact, etc.), manage budget, contracts and SLAs * Risk, Ethics & Compliance: ensure GDPR, Responsible AI and security guardrails are embedded by design, in close partnership with DPO, Legal and Compliance teams. ## Qualifications And you ? * Master's Degree in Engineering, Data Science, Computer Science or Business School with a strong Tech/Data grounding * Strong experience (7+ years) in Product Management, Consulting or applied AI delivery, with at least one major AI / Data Product shipped end-to-end in production * Experience in hospitality, travel or retail is a plus Technical Skills * Hands-on literacy in GenAI and ML Ops making you able to challenge technical choices with Data Scientists and AI Engineers * Fluency with OpenAI, AWS AgentCore, Anthropic and Microsoft Foundry Soft Skills & Mindset * Strong business acumen and ability to translate priorities into AI products in a complex organisation * Ability to manage senior stakeholders up to C-Level * You identify with these three key values shared by your team members: Learn & Be Curious ; Take Ownership ; Build Trust with Stakeholders ## Additional Information Accor dares to impact: - the world * Accor is committed to the world around us, with a strong employer culture focused on the development of our 300,000 talents. * We adopt a continuous improvement approach to reduce the impact of digital on the environment across all our projects. - your career: * We enable all our employees to manage their work-life balance and offer them the means to shape their work environment according to their preferences. * Training and career paths are defined both individually and collectively, allowing us to grow together on a daily basis. - Specifically, at Accor Tech & Digital: * Remote work available several days per week from France, with flexible work options: work from home, from our offices, or even from our hotels and coworking spaces through Worklib. * Every Wednesday afternoon, dedicate your time to deep work and personal development. * Work in a multicultural and English-speaking environment. * Continuous improvement & training: hackathons, exceptional technology partnerships, dedicated talent management, certifications and a dedicated learning platform. and also, * ALL - Heartist® Program: unforgettable stays and experiences at all Accor locations and partner venues worldwide. * Heartist® for Good Program: commit to supporting an association of your choice from those available on our volunteering platform (1 day offered per year by the Group during your working hours). * An Employee Social Committee (CSE) supporting the financing of your cultural and sports activities. * Sustainable Mobility Package for the use of eco-friendly transportation or access to a company bike program in partnership with Zenride. * Coverage of urban public transport subscriptions between home and workplace, in accordance with the rates set by French law “Loi Finance”. * €11 meal vouchers. * A mandatory health insurance plan funded at 50% by Accor without additional costs in case of enrollment of your dependents. * Attractive working conditions with collaborative workspaces, restaurants, and recreational areas as well as wellness and sports facilities, on-site or through Gymlib. Your talent and motivation are our only selection criteria. We value the richness of diverse nationalities, personalities, and professional backgrounds. We know how to adapt to the specific needs of our employees, including those with disabilities. We encourage all applications, regardless of gender, so go ahead and apply! Recruitment is all about people! Is this mission appealing to you? Apply, and we will offer you: 1. A meeting with our recruitment team to present the essential aspects of the position to you or guide you towards the role that may suit you. 2. An interview with the team manager responsible for the role you are interested in. 3. For some roles, you might also be required to complete an assessment (use case and motivation questionnaire. 4. A final interview with our Human Resources team to discuss our Group's culture, work environment, training program, career prospects, as well as various benefits offered by the Group. 5. A personalized feedback. #accortechdigital", "summaryDescription" : "Product Owner / SME AI - F/M/X at AccorCorpo. Skills: Product Management, AI, GenAI, ML Ops. Capture business needs. Frame AI use cases", "postedDate" : "2026-06-15T11:09:39.000", "createdAt" : "2026-06-15T23:35:45.443", "lastUpdated" : "2026-06-16T09:33:43.220", "ingestTimestamp" : "2026-06-15T23:35:45.443", "mongoId" : "6a3054a3f292fd229cf1982e", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "AI use cases", "ML", "GenAI", "Agentic AI", "Data Engineering", "Product roadmap", "Feature prioritization", "Sprint leadership", "Quality assurance", "Time-to-market", "Production readiness", "Change management", "End-user adoption", "ROI measurement", "Business reporting", "Contract management", "SLA management", "GDPR compliance", "Responsible AI", "Security guardrails", "Leadership", "Take Ownership", "Product Management", "AI", "ML Ops", "Business acumen", "Product ownership", "Delivery leadership", "Vendor management", "Budget management", "Risk management", "Ethics compliance", "Product vision", "Roadmap", "Prioritize features", "Sprints", "AI vision", "Customer experience", "Hotel operations", "GDPR", "OpenAI", "AWS AgentCore", "Anthropic", "Microsoft Foundry" ], "skillCount" : 44, "jobCategory" : "product", "jobSubcategory" : "product_management", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "_score" : 1134.5792, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Hospitality", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c92c174d8ee00a09867e4", "title" : "Learning & Development Specialist (m/f/d)", "company" : "Flix", "industry" : "Logistics", "salary" : { "min" : 45000.0, "max" : 65000.0, "currency" : "BGN", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Junior Learning & Development Specialist in Sofia, Bulgaria, with mid-level experience in the technology industry." }, "location" : "Столична, Sia, Bulgaria", "locations" : [ "Столична", "Sia", "Bulgaria" ], "timestamp" : "2026-06-16T06:47:59.047", "fingerprint" : "392a47f8277749629efe0394d4a2061ca06d7a58560c294555e1f45fa07cd858", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://flix.careers/job/8587786002?gh_jid=8587786002", "externalId" : "8587786002", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Sofia", "state" : "Столична", "country" : "Bulgaria", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "42.6977028,23.3217359" } ], "locationText" : "Sofia, Столична, Bulgaria", "employmentType" : "FULL_TIME", "experienceMinYears" : 2, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "professionalSkills" : [ "Programme management", "People development", "Learning design", "Stakeholder management", "Data analysis" ], "hardSkillsList" : [ "AI-powered authoring tools" ], "softSkillsList" : [ "Organised", "Delivery-focused", "Analytical mindset" ], "hardSkills" : [ { "name" : "AI-powered authoring tools", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Organised" }, { "name" : "Delivery-focused" }, { "name" : "Analytical mindset" } ], "majorSkills" : "Learning design, Programme delivery, AI in L&D", "majorSkillsList" : [ "Learning design", "Programme delivery", "AI in L&D" ], "coreResponsibilities" : "Manage learning programmes, Deliver learning programmes, Drive global L&D projects, Collaborate with colleagues, Support strategic implementations, Design blended learning solutions, Develop blended learning solutions, Embed AI into L&D practice, Identify AI opportunities, Share AI best practices, Own programme delivery, Own programme optimisation, Gather feedback, Analyse results, Implement improvements, Analyse learning data, Track programme effectiveness, Identify patterns, Identify gaps, Translate findings into recommendations, Manage L&D operations, Manage L&D systems", "teamCollaboration" : "Colleagues across departments; Cross-functional initiatives; Diverse international teams; Working relationships across functions; Working relationships across geographies", "projectManagementSkills" : [ "Programme management", "Project execution" ], "domainKnowledge" : "Tech industry; Mobility sector; High-growth environment; Fast-paced environment", "domainList" : [ "tech-industry", "mobility-sector", "high-growth-environment", "fast-paced-environment" ], "domainSpecificKnowledge" : [ "Tech industry", "Mobility sector", "High-growth environment", "Fast-paced environment" ], "toolProficiency" : [ "AI tools", "FlixUni" ], "communicationSkills" : "Present ideas clearly", "continuousLearning" : "Language classes; Training courses; Expert-led sessions; Mentoring program", "problemSolvingSkills" : "Data analysis; Identify opportunities", "outcomesObjectives" : "Ensure consistent quality; Ensure measurable outcomes; Align with business priorities; Enhance learner engagement; Support evidence-based decision-making", "qualificationsBasic" : "2+ years of experience in L&D, 2+ years of programme management experience, Experience developing blended learning solutions, Experience developing digital learning solutions", "qualificationsPreferred" : "Background in tech, Background in mobility, Background in high-growth environment, Background in fast-paced environment, Experience using AI tools for content creation, Experience using AI tools for learning personalisation, Experience using AI tools for workflow automation", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "At Flix, we offer a dynamic work environment with competitive pay, strong growth opportunities, and a tech-driven approach to making travel more accessible, sustainable, and affordable.  As a Learning & Development Specialist (m/f/d), you'll join Flix in shaping how our global teams learn and grow. We go beyond training sessions to create practical learning experiences – from digital courses to processes and frameworks that truly support people and the business. You'll take ownership of key learning programs and projects, working with a collaborative team that values both ideas and execution. From designing AI-powered learning solutions to driving program delivery and continuous improvement, your work will help thousands of Flix employees develop and succeed worldwide. This role is based in Sofia (hybrid model) About the Role Manage and deliver learning programmes across multiple employee levels, ensuring consistent quality, measurable outcomes, and alignment with business priorities Drive global L&D projects by collaborating with colleagues across departments, domains and regions, contributing to cross-functional initiatives, and supporting strategic implementations from planning through to execution Design and develop blended learning solutions, including digital courses, leadership programmes, and performance support tools, using AI-powered authoring tools to accelerate content quality and production Embed AI into everyday L&D practice by identifying opportunities to use AI tools for content creation, learning personalisation, and operational efficiency, and actively sharing best practices with the team Own programme delivery and optimisation for existing and new learning initiatives, gathering feedback, analysing results, and implementing improvements that enhance learner engagement and business impact Analyse learning data to track programme effectiveness, identify patterns and gaps, and translate findings into actionable recommendations that support evidence-based decision-making Manage L&D operations and systems, including our Learning Management System (FlixUni), ensuring processes are efficient, scalable, and continuously improved About You 2+ years of experience in L&D, programme management, or a related people development function within the corporate sector, ideally with a background in tech, mobility, or a high-growth, fast-paced environment Solid understanding of learning design, with hands-on experience developing blended and digital learning solutions that are practical, engaging, and tied to business outcomes AI-curious and digitally confident, with experience or a strong interest in using AI tools for content creation, learning personalisation, or workflow automation within an L&D context Organised and delivery-focused, with the ability to manage multiple programmes and stakeholder requests simultaneously while maintaining high standards and meeting deadlines Good communication and stakeholder skills, with the ability to work effectively with diverse, international teams and present ideas clearly to peers and mid-level stakeholders Analytical mindset, comfortable working with learning data and dashboards to evaluate impact and identify opportunities for improvement Collaborative and proactive team member who takes initiative, builds strong working relationships across functions and geographies, and thrives in a hybrid, multicultural environment We recognize that everyone carries a unique set of valuable skills and experiences. If you think you could have an impact even though you don't meet 100% of the requirements, we still encourage you to apply. We want to hear from you!  What We Offer Travel perks: 12 free Flix vouchers + 12 discount vouchers for friends & family. Hybrid work model: We are an office-first company, but we offer flexibility to balance work and life. Wellbeing support: Access confidential 1:1 counselling, courses, and stress management for yourself and up to four family members. Learning & Development: Take advantage of language classes, training courses, and expert-led sessions to grow your skills. Mentoring Program: Connect with experienced colleagues to gain insights and accelerate your career. To view more local benefits specific to each office location, please check out this link: Locations - Flix Career Why Join Flix? At Flix, you’ll find teams that rally together to overcome challenges and spark creativity. We believe in ownership culture - giving you the freedom to take initiative, make an impact, and shape your own career path. As we continue to expand across the globe, you can make a real difference in how we work. If you’re ready to grow and lead your journey, Flix is the place for you!", "summaryDescription" : "Learning & Development Specialist (m/f/d) at Flix. Skills: Learning design, Programme delivery, AI in L&D. Manage learning programmes. Deliver learning programmes", "postedDate" : "2026-06-14T18:33:44.816", "createdAt" : "2026-06-14T18:33:44.816", "lastUpdated" : "2026-06-16T06:47:59.047", "ingestTimestamp" : "2026-06-14T18:33:44.816", "mongoId" : "6a2c92c174d8ee00a09867e4", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "30k-50k", "hasSalary" : false, "allSkills" : [ "AI-powered authoring tools", "Organised", "Delivery-focused", "Analytical mindset", "Learning design", "Programme delivery", "AI in L&D", "Programme management", "People development", "Stakeholder management", "Data analysis", "Project execution", "Tech industry", "Mobility sector", "High-growth environment", "Fast-paced environment", "AI tools", "FlixUni" ], "skillCount" : 18, "jobCategory" : "operations", "jobSubcategory" : "hr", "seniorityLevel" : "Junior", "dataQualityScore" : 1.0, "_score" : 1130.5068, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2ca5bd74d8ee00a09b7ee5", "title" : "AI Product Developer", "company" : "Intellishore", "industry" : "Consulting", "salary" : { "min" : 500000.0, "max" : 750000.0, "currency" : "DKK", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for AI Product Developer in Copenhagen, Denmark, adjusted for mid-seniority and consulting industry." }, "location" : "Copenhagen", "locations" : [ "Copenhagen" ], "timestamp" : "2026-06-16T04:50:21.042", "fingerprint" : "a95208032f632a3639b321e2d71ad7db515690c0ee9b4c717c89a0ec91a4de53", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/intellishoredk/jobs/7749472003", "externalId" : "7749472003", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Copenhagen", "country" : "Denmark", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "55.6867243,12.5700724" } ], "locationText" : "Copenhagen, Denmark", "technicalSkills" : "GenAI", "professionalSkills" : [ "Product thinking", "Design craft", "Front-end engineering" ], "hardSkillsList" : [ "User journeys", "Interface design" ], "hardSkills" : [ { "name" : "User journeys", "level" : "intermediate" }, { "name" : "Interface design", "level" : "intermediate" } ], "majorSkills" : "Product strategy, AI tools, User interfaces", "majorSkillsList" : [ "Product strategy", "AI tools", "User interfaces" ], "coreResponsibilities" : "Frame problem with client, Sit with client teams, Map workflows, Translate complexity into journeys, Move from idea to prototype, Use AI tools for productivity, Demo to stakeholders, Iterate against feedback, Build the thing, Ship client-facing POCs, Ship client-facing MVPs, Design and code as same act, Design GenAI interfaces, Wrap AI behavior in interfaces, Tell story around built products, Shape delivery experience", "teamCollaboration" : "Strategy teams; AI teams; Client teams; Cross-discipline teams", "projectManagementSkills" : [ "Roadmap", "User stories" ], "domainKnowledge" : "Data-driven products; AI-driven products; Health 3.0; Streaming responses; Tool use; Retrieval; Multi-step agents", "domainList" : [ "data-driven-products", "ai-driven-products", "health-3-0", "streaming-responses", "tool-use", "retrieval", "multi-step-agents" ], "domainSpecificKnowledge" : [ "Data-driven products", "AI-driven products", "Health 3.0", "Streaming responses", "Tool use", "Retrieval", "Multi-step agents" ], "toolProficiency" : [ "Vercel", "APIs" ], "communicationSkills" : "Case narratives; Signature demos", "continuousLearning" : "Explore new tools; Explore methods; Explore technologies", "innovationCreativity" : "Prototype development; Experiment development", "problemSolvingSkills" : "Ask clarifying questions", "specialRequirements" : "European candidates only, Located in Denmark", "qualificationsBasic" : "Experience building GenAI interfaces, Comfortable deploying to Vercel, Comfortable wiring up APIs, Fluent in AI-native tooling", "qualificationsPreferred" : "Agency background a plus, Studio background a plus, Consultancy background a plus", "workSiteFlexibility" : "Flexible", "rawDescription" : "Do you love the moment an idea becomes something you can click on? Do you enjoy sitting with the people who'll actually use what you make? Are you the kind of builder who can't quite tell where design ends and code begins - and likes it that way? For our Copenhagen office, we are looking for an AI Product Developer to help us design, prototype, and build the next generation of data- and AI-driven products for our clients. This is not a traditional UX designer role, and it's not a traditional front-end role either. It's a builder role for someone who lives at the intersection of product thinking, design craft, front-end engineering, and emerging AI tools. Who is Intellishore? Founded in 2013, Intellishore is home to 80+ passionate specialists in strategy, AI, and data, working from our Copenhagen and Zurich offices. We partner with leading organizations to shape the future of health, working with partners across the ecosystem to unlock the full potential of data and AI. Read more about our vision for Health 3.0 here: https://www.intellishore.dk/health We are builders who believe in an open and honest approach to consulting. We ask questions, stand by our beliefs, and cut through complexity to create clarity. For us, progress doesn’t come from technology alone - it happens when the right people have the right data, strategy, and tools to act. As a collective of developers and strategists, visionaries and pragmatists, we bring energy, expertise, and a passion for helping others succeed. Read more about our team here: https://www.intellishore.dk/about. What will you be working on? You’ll be working closely with our strategy and AI teams, turning strategies, models, and new workflows into products that our clients actually use. The role spans the full path from problem to shipped product: Frame the problem alongside the client. Sit with client teams. Map workflows. Ask the questions that get past surface requirements. Translate business and data complexity into clear user journeys and interfaces. Move from idea to working prototype in days. Use the latest AI tools to power your productivity to get there fastest. Demo to stakeholders. Iterate against real feedback. Build the thing. Ship client-facing POCs and MVPs. Design and code as the same act, not two phases with a handoff between them. Design GenAI interfaces that don't feel like AI slop in a box. Streaming responses, tool use, retrieval, multi-step agents, wrapped in interfaces that make complex AI behaviour feel coherent. Tell the story around what we have built. Hero visuals, case narratives, signature demos. The output that defines how Intellishore shows up to clients and the market. You’ll be a part of shaping the experience of what we deliver and how we show up.  Who are we looking for?  Successful candidates are curious, craft-led builders with entrepreneurial energy. You are perfect for this role if you: Are experienced in building GenAI interfaces. The things you've built work, look good, and were used by someone. You are comfortable deploying to Vercel and wiring up APIs. Care about the craft. Visual quality, interaction design, the small details. You think how something feels is part of whether it works. Are entrepreneurial and comfortable with ambiguity. You are the kind of person who'd rather fail fast than waiting for a full brief. Are collaborative. You enjoy working closely with people across disciplines - strategy, data scientists, engineers, clients. Are fluent in AI-native tooling. You multiply your productivity and quality through the latest AI tools and stay up to date on the latest developments. Have client experience. Agency, studio, or consultancy background is a plus. We don’t care what you studied - we care about what you’ve built. Show us interfaces, prototypes, visuals, experiments, or anything that demonstrates how you turn ideas into products or experiences when you apply. What can we offer you?  1 | Creative freedom and influence You’ll help shape how Intellishore designs and delivers experiences - not just follow templates. 2 | Entrepreneurial environment A fast-moving consultancy where ideas turn into action quickly. 3 | Meaningful impact Work at the intersection of health, AI, and data, helping shape solutions that matter and be a central part of building for Health 3.0.  4 | Learning & exploration Time and space to explore new tools, methods, and technologies - and bring them into practice. 5 | Strategic Seminar A yearly strategic seminar where all Intellishorians across locations spend time strategizing and team-building (in previous years, we've been to Iceland, Germany, Italy, and France) 6 | A strong community Intellishorians are curious, ambitious, and genuinely enjoy working together. Read more about our people and culture at: https://www.intellishore.dk/join  How to apply? Send us:  Your CV Your portfolio of interfaces, prototypes, visuals, motion graphics, experiments, or anything that demonstrates how you turn ideas into experiences (mandatory) A short motivational letter Please note:  Applicants will be invited to interviews on a rolling basis. We are currently only accepting applications from European candidates located in Denmark. For more information about the position, please reach out to Sofie Freund: sofie.freund@intellishore.dk / +45 93 98 17 27. ", "summaryDescription" : "AI Product Developer at Intellishore. Skills: Product strategy, AI tools, User interfaces. Frame problem with client. Sit with client teams", "postedDate" : "2026-06-14T20:12:05.890", "createdAt" : "2026-06-14T20:12:05.890", "lastUpdated" : "2026-06-16T04:50:21.042", "ingestTimestamp" : "2026-06-14T20:12:05.890", "mongoId" : "6a2ca5bd74d8ee00a09b7ee5", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "User journeys", "Interface design", "Product strategy", "AI tools", "User interfaces", "Product thinking", "Design craft", "Front-end engineering", "Roadmap", "User stories", "Data-driven products", "AI-driven products", "Health 3.0", "Streaming responses", "Tool use", "Retrieval", "Multi-step agents", "Vercel", "APIs" ], "skillCount" : 19, "jobCategory" : "product", "jobSubcategory" : "product_management", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "_score" : 1116.0901, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Consulting", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c5ff074d8ee00a08eff0a", "title" : "AI Developer", "company" : "Moonshot", "salary" : { "min" : 75000.0, "max" : 105000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Junior AI Developer in Denton, United States, adjusted for mid-level experience and the manufacturing industry." }, "location" : "Denton, Texas, United States", "locations" : [ "Denton", "Texas", "United States" ], "timestamp" : "2026-06-15T00:17:51.280", "fingerprint" : "1b43d55653729763b660c9584a4772843a2d91000c9c5cf9ce109f1856e9670a", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/moonshot/jobs/4265696009", "externalId" : "4265696009", "structuredLocations" : [ { "city" : "Denton", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "33.1838787,-97.1413417" } ], "locationText" : "Denton, Texas, United States", "minimumEducation" : "Bachelor's", "experienceMinYears" : 2, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "Python, JavaScript, TypeScript, C#, React, Vue, Angular, Django, Flask, ASP.NET, REST APIs, SQL, Git, AI, LLM APIs, Agent frameworks", "professionalSkills" : [ "System architecture", "Data integration", "Business requirements translation" ], "hardSkillsList" : [ "Software development", "Web application development", "Database management", "AI agent development", "Automation development", "API implementation", "System integration" ], "hardSkills" : [ { "name" : "Software development", "level" : "intermediate" }, { "name" : "Web application development", "level" : "intermediate" }, { "name" : "Database management", "level" : "intermediate" }, { "name" : "AI agent development", "level" : "intermediate" }, { "name" : "Automation development", "level" : "intermediate" }, { "name" : "API implementation", "level" : "intermediate" }, { "name" : "System integration", "level" : "intermediate" } ], "majorSkills" : "AI agents, Software development, Automation, Data integration", "majorSkillsList" : [ "AI agents", "Software development", "Automation", "Data integration" ], "coreResponsibilities" : "Design custom applications, Build custom applications, Design AI agents, Build AI agents, Deploy AI agents, Handle real workflows, Process documents, Process data, Support decision making, Leverage SQL data, Leverage ERP data, Create operational visibility, Extend ERP, Create ERP reporting, Work with Operations leaders, Work with Engineering leaders, Work with Procurement leaders, Work with HR leaders, Understand business pain points, Translate business needs, Write clean code, Write maintainable code, Write documented code, Support fast iteration, Improve code based on feedback, Implement APIs, Implement integrations, Connect internal software, Connect factory hardware, Connect third-party platforms, Connect AI services, Connect BI tools, Participate in code reviews, Participate in technical planning, Participate in architecture discussions", "teamCollaboration" : "Cross-functional collaboration; Work with leaders", "domainKnowledge" : "ERP systems; Manufacturing operations; Business intelligence; Factory-floor hardware", "domainList" : [ "erp-systems", "manufacturing-operations", "business-intelligence", "factory-floor-hardware" ], "domainSpecificKnowledge" : [ "ERP systems", "Manufacturing operations", "Business intelligence", "Factory-floor hardware" ], "toolProficiency" : [ "Git" ], "documentationSkills" : "Well-documented code", "innovationCreativity" : "Build greenfield software", "problemSolvingSkills" : "Solve operational problems", "outcomesObjectives" : "Accelerate the business; Success measured by adoption; Success measured by outcomes; Put time back in hands; Extend what team can do; Enable decisions with data", "qualificationsBasic" : "2-5 years professional software development, Experience building web applications, Experience working with relational databases, Experience building AI/LLM tools, Experience integrating AI/LLM tools, Experience building AI automations, Experience integrating AI automations, Proficiency in Python, Proficiency in JavaScript/TypeScript, Proficiency in C#, Experience with web frameworks, Experience with REST APIs, Experience with data integration patterns, Experience with system architecture, Experience with version control (Git), Experience with collaborative development workflows, Hands-on with modern AI tooling, Building agents with LLM APIs, Building automations with LLM APIs, Building agents with agent frameworks, Building automations with agent frameworks, Translate business requirements to solutions, Bias toward shipping and iterating", "qualificationsPreferred" : "ERP systems experience, Manufacturing operations experience, Business intelligence tools experience", "workSiteFlexibility" : "Onsite", "rawDescription" : "Overview Moonshot Labs builds the internal software that accelerates Moonshot's manufacturing business. As a Software Developer, you'll design and build custom tools, applications, and AI agents that have immediate, practical application in a live production environment. The work is fast-moving and high-impact: find where the business is slowed down, build something that removes the friction, and get it into people's hands in days, not quarters. This spans operational software, data and ERP integration, automation, and practical AI agents that take real work off people's plates. It's a rare chance to build greenfield software whose value shows up directly in how fast and how well the company runs. Key Responsibilities Build software with immediate impact: Design and develop custom applications and tools that solve real operational problems and accelerate the business. Success is measured by adoption and outcomes on the floor, not lines of code. Build practical AI agents: Design, build, and deploy AI agents and automations that handle real workflows, document and data processing, and decision support, putting time back in people's hands and extending what a small team can do. Turn data into action: Leverage direct SQL and ERP data, along with other systems, to create real-time operational visibility and power the tools you build. ERP extension and reporting are part of the job, but the goal is the decision the data enables, not the report itself. Cross-functional collaboration: Work directly with leaders across Operations, Engineering, Procurement, and HR to understand pain points and translate business needs into working software. Rapid iteration and code quality: Write clean, maintainable, well-documented code that supports fast iteration and continuous improvement based on direct user feedback. APIs and integrations: Implement APIs and integrations that connect internal software with factory-floor hardware, third-party platforms, AI services, and business intelligence tools. Technical contribution: Participate in code reviews, technical planning, and system architecture discussions to ensure solutions are scalable, secure, and aligned with Moonshot Labs' roadmap. Qualifications Education: Bachelor's degree in Computer Science, Software Engineering, Information Systems, or equivalent experience Experience: 2-5 years of professional software development experience Experience building web applications and working with relational databases (SQL) Experience building or integrating AI/LLM-powered tools, agents, or automations Experience with ERP systems, manufacturing operations, or business intelligence tools is a plus Skills and Tools: Strong proficiency in modern programming languages (Python, JavaScript/TypeScript, C#, or similar) Experience with web frameworks (React, Vue, Angular, Django, Flask, ASP.NET, or similar) Familiarity with REST APIs, data integration patterns, and system architecture Experience with version control (Git) and collaborative development workflows Hands-on with modern AI tooling: AI-assisted coding, plus building agents and automations with LLM APIs and agent frameworks Ability to translate business requirements into working solutions, and a bias toward shipping and iterating over over-engineering Why Moonshot? Our Mission: Moonshot Labs turns processes into automation, data into action, and ideas into tools that are running in production fast. We build the software, AI agents, and factory systems that power operational excellence as Moonshot scales. Growth at Scale: Moonshot Labs ensures we scale systems, visibility, and repeatability alongside physical growth. We are an enablement organization; we partner with functional leaders across the company to build tools and frameworks that empower their teams to succeed. Real Impact: Joining Moonshot Labs means working on software and AI that have immediate, measurable impact on how a high-growth manufacturing company operates. You'll build custom solutions tailored to real problems, iterate based on direct user feedback, and help create Moonshot-specific IP that becomes a competitive advantage.", "summaryDescription" : "AI Developer at Moonshot. Skills: AI agents, Software development, Automation, Data integration. Design custom applications. Build custom applications", "postedDate" : "2026-06-12T22:14:26.746", "createdAt" : "2026-06-12T22:14:26.746", "lastUpdated" : "2026-06-15T00:17:51.280", "ingestTimestamp" : "2026-06-12T22:14:26.746", "mongoId" : "6a2c5ff074d8ee00a08eff0a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 75000, "salaryAnnualMax" : 105000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Software development", "Web application development", "Database management", "AI agent development", "Automation development", "API implementation", "System integration", "AI agents", "Automation", "Data integration", "System architecture", "Business requirements translation", "ERP systems", "Manufacturing operations", "Business intelligence", "Factory-floor hardware", "Git" ], "skillCount" : 17, "jobCategory" : "engineering", "jobSubcategory" : "information-technology", "dataQualityScore" : 0.8888889, "_score" : 1109.8832, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true }, { "id" : "69d76c8c2beec4dd3dc924a1", "title" : "Head of Product - AI (F/M/X)", "company" : "Ablefy", "industry" : "SaaS", "salary" : { "min" : 145000.0, "max" : 210000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Director of Product - AI in Berlin, Germany, adjusted for the SaaS industry and company size." }, "location" : "Berlin, DE", "locations" : [ "Berlin", "DE" ], "timestamp" : "2026-06-16T04:36:15.220", "fingerprint" : "1eeddaccabe5dc5fb5fc25f4471584c6200a48f3311cd41fb830d29130d2b05c", "source" : "breezyhr", "language" : "en", "applyUrl" : "https://ablefy.breezy.hr/p/5af8bcaa1c9d01-head-of-product-ai-f-m-x", "externalId" : "5af8bcaa1c9d01", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Berlin", "country" : "Germany", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "52.5173885,13.3951309" } ], "locationText" : "Berlin, Germany", "employmentType" : "FULL_TIME", "remoteFriendly" : true, "rawDescription" : "About us At ablefy, we believe passion can turn into a career for anyone. With ablefy.io, we give coaches, consultants, creators, and entrepreneurs everything they need to build and sell digital products online — simply and efficiently. 70,000+ entrepreneurs already trust us to power their business", "summaryDescription" : "Head of Product - AI (F/M/X) at Ablefy", "createdAt" : "2026-06-14T19:31:57.613", "lastUpdated" : "2026-06-16T04:36:15.220", "ingestTimestamp" : "2026-06-14T19:31:57.613", "mongoId" : "69d76c8c2beec4dd3dc924a1", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "product", "jobSubcategory" : "product_management", "seniorityLevel" : "Director", "dataQualityScore" : 0.6666667, "_score" : 1107.1511, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "SaaS", "llmIndustryConfidence" : 0.95 }, { "id" : "6a15e57858b93c861e7d0030", "title" : "Principal AI ToolChain & Process Engineer", "company" : "Mercedes-Benz Digital Tech Ltd.", "location" : "China (Mainland)-Shanghai-Shanghai", "locations" : [ "China (Mainland)-Shanghai-Shanghai" ], "certifications" : [ ], "timestamp" : "2026-06-15T09:11:03.647", "fingerprint" : "c06a7dcf38ace037386d7eee43e653c0185e3a0d59393e5738bd94532d2d454c", "source" : "taleo", "applyUrl" : "https://daimler.taleo.net/careersection/ex/jobdetail.ftl?job=898230", "externalId" : "898230", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Shanghai", "country" : "China", "continent" : "as", "source" : "llm", "workMode" : "onsite" } ], "locationText" : "Shanghai, China", "employmentType" : "FULL_TIME", "experienceMinYears" : 12, "experienceMaxYears" : 15, "experienceLevel" : "Lead", "technicalSkills" : "AI programming assistants, intelligent test generation, AI-assisted requirements analysis, AI Agent-based project management, multi-agent collaborative development platforms, machine learning, deep learning, Prompt Engineering, AI Agent frameworks, LangChain, AutoGen, CrewAI, vibe coding, harness engineering, context engineering, RAG systems, multi-agent orchestration, GPT series, Claude, CodeLlama, DeepSeek, SQL, Python", "professionalSkills" : [ "automotive software development" ], "hardSkillsList" : [ "ASPICE deployment", "AI-driven transformation strategies", "enterprise-wide AI programming assistant adoption", "intelligent testing frameworks", "automated code review pipelines", "AI-assisted requirements management systems", "AI Agent-based workflow automation", "ASPICE", "Agile at Scale", "SAFe", "DevOps", "CI/CD", "platform engineering", "Functional Safety ISO 26262", "AUTOSAR", "SOTIF" ], "softSkillsList" : [ "visionary technical leadership, strategic thinking, passion for pioneering new approaches" ], "hardSkills" : [ { "name" : "ASPICE deployment", "level" : "intermediate" }, { "name" : "AI-driven transformation strategies", "level" : "intermediate" }, { "name" : "enterprise-wide AI programming assistant adoption", "level" : "intermediate" }, { "name" : "intelligent testing frameworks", "level" : "intermediate" }, { "name" : "automated code review pipelines", "level" : "intermediate" }, { "name" : "AI-assisted requirements management systems", "level" : "intermediate" }, { "name" : "AI Agent-based workflow automation", "level" : "intermediate" }, { "name" : "ASPICE", "level" : "intermediate" }, { "name" : "Agile at Scale", "level" : "intermediate" }, { "name" : "SAFe", "level" : "intermediate" }, { "name" : "DevOps", "level" : "intermediate" }, { "name" : "CI/CD", "level" : "intermediate" }, { "name" : "platform engineering", "level" : "intermediate" }, { "name" : "Functional Safety ISO 26262", "level" : "intermediate" }, { "name" : "AUTOSAR", "level" : "intermediate" }, { "name" : "SOTIF", "level" : "intermediate" } ], "softSkills" : [ { "name" : "visionary technical leadership, strategic thinking, passion for pioneering new approaches" } ], "majorSkills" : "AI/ML Capabilities, R&D Processes and DevOps, Data Skills, Enterprise AI Toolchain Architecture & Platform, Intelligent R&D Process Transformation", "majorSkillsList" : [ "AI/ML Capabilities, R&D Processes and DevOps, Data Skills, Enterprise AI Toolchain Architecture & Platform, Intelligent R&D Process Transformation" ], "coreResponsibilities" : "Define and own the organization-wide AI-enabled R&D strategic vision, multi-year roadmap, and technology investment priorities. Architect and oversee the enterprise-level AI-powered R&D toolchain ecosystem. Lead organization-wide analysis and transformation of software development processes. Architect and own the organization-wide data-driven R&D efficiency measurement framework. Serve as the organization's technical thought leader in AI for software engineering. Lead the continuous evaluation and strategic assessment of emerging AI technologies in software engineering. Lead and steer RDC Tech Committee activities.", "teamCollaboration" : "Drive cross-departmental consensus on AI adoption priorities and resource allocation. Establish and facilitate cross-functional technical review boards, architecture governance councils, and innovation steering committees.", "projectManagementSkills" : [ "AI Agent-based project management" ], "toolProficiency" : [ "Tableau, Power BI" ], "communicationSkills" : "stakeholder management; influence executive leadership; drive consensus", "continuousLearning" : "Lead the continuous evaluation and strategic assessment of emerging AI technologies in software engineering (LLM, AI Agent, AI4SE, autonomous coding systems), conducting advanced technical pre-research, prototype validation, and feasibility studies.", "innovationCreativity" : "Explore breakthrough application scenarios for automotive software development.", "problemSolvingSkills" : "system design; architectural decisions; build-vs-buy decisions", "specialRequirements" : "Location: China (Mainland)-Shanghai-Shanghai", "outcomesObjectives" : "Ensure alignment with Mercedes-Benz global R&D objectives and business strategy. Present strategic recommendations to executive leadership (VP/CTO level) and drive cross-departmental consensus on AI adoption priorities and resource allocation. Provide executive-level strategic insights and visual reports to drive data-informed investment decisions. Establish the AI-driven R&D culture across departments, designing comprehensive training curricula, mentoring senior engineers and technical leads, and building an elite engineering organization capable of leveraging AI at scale. Represent Mercedes-Benz R&D at industry conferences, technical forums, and academic partnerships to establish external thought leadership and attract top talent.", "qualificationsBasic" : "12+ years of experience in software development, architecture, or R&D efficiency platform-related roles, with deep expertise in ASPICE deployment in automotive projects. At least 5 years in a senior/lead technical role with demonstrated organizational-level impact. Proven track record of defining and executing AI-driven transformation strategies at scale across multiple teams or departments, with quantifiable results. Demonstrated experience in establishing technical standards, best practices, and architectural guidelines that have been adopted across an organization. Experience mentoring and developing senior engineers and technical leads, with a track record of growing technical talent.", "qualificationsPreferred" : "Experience as a principal/staff engineer or technical director leading enterprise-wide R&D efficiency platform construction or major digital transformation programs at large technology companies, internet companies, or smart device (mobile/automotive) manufacturers. Deep familiarity with automotive software development standards and characteristics (e.g., ASPICE, Functional Safety ISO 26262, AUTOSAR, SOTIF) and experience integrating AI solutions within safety-critical development environments. Published thought leadership (papers, patents, conference talks) in AI for software engineering or related domains. Master's degree or PhD in Computer Science, Artificial Intelligence, Software Engineering, or a related field.", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Organization-wide AI-Enabled R&D Strategy & Vision: Define and own the organization-wide AI-enabled R&D strategic vision, multi-year roadmap, and technology investment priorities, ensuring alignment with Mercedes-Benz global R&D objectives and business strategy. Present strategic recommendations to executive leadership (VP/CTO level) and drive cross-departmental consensus on AI adoption priorities and resource allocation. Establish governance frameworks for AI tool selection, evaluation, and deployment across the organization. Enterprise AI Toolchain Architecture & Platform: Architect and oversee the enterprise-level AI-powered R&D toolchain ecosystem, defining technical standards, integration patterns, and platform capabilities (e.g., AI programming assistants, intelligent test generation, AI-assisted requirements analysis, AI Agent-based project management, multi-agent collaborative development platforms). Make critical technology selection and architectural decisions, balancing innovation with enterprise requirements (security, scalability, compliance, cost). Drive build-vs-buy decisions and vendor/partner evaluation for AI toolchain components. Intelligent R&D Process Transformation: Lead organization-wide analysis and transformation of software development processes (requirements, design, coding, testing, release), identifying systemic bottlenecks and designing AI-powered solutions (predictive models, NLP, code generation, multi-agent systems) to fundamentally reshape working paradigms. Define and champion new AI-integrated development methodologies and process standards that become organizational best practices. R&D Efficiency Measurement & Strategic Insights: Architect and own the organization-wide data-driven R&D efficiency measurement framework, defining key metrics (delivery cycle time, defect density, code reuse rate, AI tool adoption rate, developer productivity index), building AI-powered analytics platforms, and providing executive-level strategic insights and visual reports to drive data-informed investment decisions. Technology Thought Leadership & Talent Development: Serve as the organization's technical thought leader in AI for software engineering, establishing the AI-driven R&D culture across departments, designing comprehensive training curricula, mentoring senior engineers and technical leads, and building an elite engineering organization capable of leveraging AI at scale. Represent Mercedes-Benz R&D at industry conferences, technical forums, and academic partnerships to establish external thought leadership and attract top talent. Technology Foresight, Research & Innovation: Lead the continuous evaluation and strategic assessment of emerging AI technologies in software engineering (LLM, AI Agent, AI4SE, autonomous coding systems), conducting advanced technical pre-research, prototype validation, and feasibility studies. Define the innovation pipeline and explore breakthrough application scenarios for automotive software development. Tech Committee Leadership & Cross-functional Governance: Lead and steer RDC Tech Committee activities, setting the technical agenda, driving architectural decisions, and ensuring alignment across teams on technology direction and people development. Establish and facilitate cross-functional technical review boards, architecture governance councils, and innovation steering committees. Drive continuous improvement of engineering practices, methodologies, and quality standards across the organization. Required Experience: 12+ years of experience in software development, architecture, or R&D efficiency platform-related roles, with deep expertise in ASPICE deployment in automotive projects. At least 5 years in a senior/lead technical role with demonstrated organizational-level impact. Proven track record of defining and executing AI-driven transformation strategies at scale across multiple teams or departments, with quantifiable results (e.g., leading enterprise-wide AI programming assistant adoption, establishing intelligent testing frameworks, building organization-wide automated code review pipelines, AI-assisted requirements management systems, and AI Agent-based workflow automation). Demonstrated experience in establishing technical standards, best practices, and architectural guidelines that have been adopted across an organization. Experience mentoring and developing senior engineers and technical leads, with a track record of growing technical talent. Technical Skills: AI/ML Capabilities: Expert-level understanding of machine learning/deep learning principles, with extensive hands-on experience and thought leadership in Prompt Engineering, AI Agent frameworks (e.g., LangChain, AutoGen, CrewAI), vibe coding, harness engineering, context engineering, RAG systems, and multi-agent orchestration. Deep expertise in multiple mainstream large language models (e.g., GPT series, Claude, CodeLlama, DeepSeek) including API integration, fine-tuning, RLHF, model evaluation, and enterprise-grade private deployment strategies. Proven ability to architect end-to-end AI solutions from proof-of-concept to production deployment at enterprise scale, including AI Agent application platforms and intelligent workflow systems. Experience in building and scaling AI/ML platforms and infrastructure to support organization-wide adoption. R&D Processes and DevOps: Expert-level understanding of modern software development processes and industry standards including ASPICE, Agile at Scale (SAFe), DevOps, CI/CD, and platform engineering. Ability to define and evolve organizational R&D process standards integrating AI capabilities. Data Skills: Strategic data-driven mindset with the ability to define organization-wide R&D efficiency measurement frameworks, architect data pipelines, design executive-level dashboards, and lead data-informed decision-making using advanced analytics platforms (e.g., SQL, Python, Tableau, Power BI) and AI-powered insights. Soft Skills: Exceptional communication and stakeholder management skills, with the ability to influence executive leadership and drive consensus across multiple departments and global teams (development, testing, architecture, project management, product management). Visionary technical leadership with strong strategic thinking, the ability to translate business objectives into technical initiatives, and a passion for pioneering new approaches to complex engineering challenges. Proven ability to build high-performing technical teams and foster an innovation-driven engineering culture. Preferred Qualifications: Experience as a principal/staff engineer or technical director leading enterprise-wide R&D efficiency platform construction or major digital transformation programs at large technology companies, internet companies, or smart device (mobile/automotive) manufacturers. Deep familiarity with automotive software development standards and characteristics (e.g., ASPICE, Functional Safety ISO 26262, AUTOSAR, SOTIF) and experience integrating AI solutions within safety-critical development environments. Published thought leadership (papers, patents, conference talks) in AI for software engineering or related domains. Master's degree or PhD in Computer Science, Artificial Intelligence, Software Engineering, or a related field. Mercedes-Benz Digital Tech Ltd.", "summaryDescription" : "Principal AI ToolChain & Process Engineer at Mercedes-Benz Digital Tech Ltd.. Skills: AI/ML Capabilities, R&D Processes and DevOps, Data Skills, Enterprise AI Toolchain Architecture & Platform, Intelligent R&D Process Transformation. Define and own the organization-wide AI-enabled R&D strategic vision, multi-year roadmap, and technology investment priorities. Architect and oversee the enterprise-level AI-powered R&D toolchain ecosystem. Lead organization-wide analysis and transformation of softw", "createdAt" : "2026-06-14T19:55:52.146", "lastUpdated" : "2026-06-15T09:11:03.647", "ingestTimestamp" : "2026-06-14T19:55:52.146", "mongoId" : "6a15e57858b93c861e7d0030", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "hasSalary" : false, "allSkills" : [ "ASPICE deployment", "AI-driven transformation strategies", "enterprise-wide AI programming assistant adoption", "intelligent testing frameworks", "automated code review pipelines", "AI-assisted requirements management systems", "AI Agent-based workflow automation", "ASPICE", "Agile at Scale", "SAFe", "DevOps", "CI/CD", "platform engineering", "Functional Safety ISO 26262", "AUTOSAR", "SOTIF", "visionary technical leadership, strategic thinking, passion for pioneering new approaches", "AI/ML Capabilities, R&D Processes and DevOps, Data Skills, Enterprise AI Toolchain Architecture & Platform, Intelligent R&D Process Transformation", "automotive software development", "AI Agent-based project management", "Tableau, Power BI" ], "skillCount" : 21, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Executive", "dataQualityScore" : 0.7777778, "_score" : 1102.0089, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 } ], "status" : 200, "message" : "OK", "pagination" : { "page" : 0, "limit" : 50, "totalCount" : 78375, "totalPages" : 1568, "hasNext" : true, "hasPrevious" : false } }

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