{"schemaVersion":"jobsearcher.job.v1","id":"d4f91a5a8c7461aa59b2f212","url":"https://jobsearcher.com/jobs/d4f91a5a8c7461aa59b2f212","canonicalUrl":"https://jobsearcher.com/jobs/d4f91a5a8c7461aa59b2f212","title":"AI Application Engineer (GenAI / RAG) Python","description":"AI Application Engineer (GenAI / RAG) Python\r\nChoosing Capgemini means choosing a company where you will be empowered to shape your career in the way you'd like, where you'll be supported and inspired by a collaborative community of colleagues around the world, and where you'll be able to reimagine what's possible. Join us and help the world's leading organizations unlock the value of technology and build a more sustainable, more inclusive world.\r\nJob Description\r\nType\r\nFTE only (No C2C / No Subcontractors)\r\nWork Model\r\nHybrid (3 days onsite)\r\nLocation (One of the following):\r\nWestlake, TX / Smithfield, RI / Boston, MA / Merrimack, NH\r\nVisa\r\nNo Sponsorship Available\r\nRole Overview\r\nAs an AI Application Engineer , you will design, build, and deploy hands-on GenAI applications that leverage LLMs, Retrieval-Augmented Generation (RAG), and agent-based workflows to support next-generation Advisor Assistance and decision-support tools . This is a builder role focused on real-world GenAI systems , not research experiments or theoretical model work. Candidates are expected to demonstrate individual contribution , concrete design decisions, and outcomes from systems they have personally built.\r\nKey Responsibilities\r\nGenAI Application Development\r\nDesign and implement RAG-based applications , including embeddings, vector search, and retrieval strategies\r\nBuild LLM-powered services using Python that integrate with internal systems and APIs\r\nDevelop conversational and advisor-assist interfaces backed by LLM orchestration and tool usage\r\nAgent & Workflow Orchestration\r\nImplement agentic workflows (tool execution, routing, memory, task planning) using frameworks such as LangChain or LangGraph\r\nDesign prompt structures, system instructions, and interaction patterns focused on reliability and grounded responses\r\nEvaluation & Quality\r\nImplement evaluation strategies for retrieval quality, answer faithfulness, and hallucination mitigation\r\nOptimize latency, cost, and relevance across GenAI pipelines\r\nData Integration\r\nIntegrate structured and unstructured data sources including databases, APIs, enterprise systems, and document repositories\r\nBuild ingestion pipelines and data preparation workflows to support GenAI use cases\r\nProduction & Operationalization\r\nPackage and deploy services using containers, APIs, and CI/CD pipelines\r\nApply monitoring, logging, security, and testing best practices\r\nEnsure compliance with Responsible AI, security, privacy, and data governance standards\r\nRequired Skills\r\nStrong hands-on experience with Python in application development\r\nPractical experience building RAG systems (embeddings, vector databases, retrieval tuning)\r\nExperience working with LLMs (OpenAI, Anthropic, or similar)\r\nFamiliarity with LangChain, LangGraph, or similar orchestration frameworks\r\nExperience deploying and operating applications in cloud environments\r\nNice to Have\r\nExperience with agent-based systems or multi-agent workflows\r\nKnowledge of production monitoring, evaluation frameworks, and GenAI optimization techniques\r\nPrior experience working in regulated or enterprise environments\r\nThe base compensation range for this role in the posted location is: [$115,00 to $150,000]\r\nCapgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.\r\nThe actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.\r\nThese may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.\r\nIt is not typical for candidates to be hired at or near the top of the posted compensation range.\r\nIn addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.\r\nCapgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees.\r\nPaid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave\r\nMedical, dental, and vision coverage (or provincial healthcare coordination in Canada)\r\nRetirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)\r\nLife and disability insurance\r\nEmployee assistance programs\r\nOther benefits as provided by local policy and eligibility\r\nImportant Notice\r\nCompensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini's discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation.\r\nDisclaimers\r\nCapgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.\r\nThis is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.\r\nPlease be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.\r\nClick the following link for more information on your rights as an Applicant in the United States.\r\nCapgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.\r\nLocation\r\nIrving, TX, USBurlington, MA, USWest Hartford, US\r\nBrand\r\nCapgemini\r\nProfessional Community\r\nSoftware Engineering\r\nCapgemini is an Equal Opportunity Employer encouraging diversity in the workplace.\r\nAll qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.\r\nRef. code: 436256\r\nPosted on: Mar 12, 2026\r\nExperience Level: Experienced Professionals\r\nContract Type: Permanent\r\nJ-18808-Ljbffr","company":"Capgemini","rawCompany":"capgemini","city":"East Boston","state":"MA","isRemote":false,"isActive":false,"createdAt":"2026-04-09T07:58:17.045Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1251.00","title":"Computer Programmers","slug":"computer-programmers"}],"industries":[{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"AI Application Engineer (GenAI / RAG) Python","description":"AI Application Engineer (GenAI / RAG) Python\r\nChoosing Capgemini means choosing a company where you will be empowered to shape your career in the way you'd like, where you'll be supported and inspired by a collaborative community of colleagues around the world, and where you'll be able to reimagine what's possible. Join us and help the world's leading organizations unlock the value of technology and build a more sustainable, more inclusive world.\r\nJob Description\r\nType\r\nFTE only (No C2C / No Subcontractors)\r\nWork Model\r\nHybrid (3 days onsite)\r\nLocation (One of the following):\r\nWestlake, TX / Smithfield, RI / Boston, MA / Merrimack, NH\r\nVisa\r\nNo Sponsorship Available\r\nRole Overview\r\nAs an AI Application Engineer , you will design, build, and deploy hands-on GenAI applications that leverage LLMs, Retrieval-Augmented Generation (RAG), and agent-based workflows to support next-generation Advisor Assistance and decision-support tools . This is a builder role focused on real-world GenAI systems , not research experiments or theoretical model work. Candidates are expected to demonstrate individual contribution , concrete design decisions, and outcomes from systems they have personally built.\r\nKey Responsibilities\r\nGenAI Application Development\r\nDesign and implement RAG-based applications , including embeddings, vector search, and retrieval strategies\r\nBuild LLM-powered services using Python that integrate with internal systems and APIs\r\nDevelop conversational and advisor-assist interfaces backed by LLM orchestration and tool usage\r\nAgent & Workflow Orchestration\r\nImplement agentic workflows (tool execution, routing, memory, task planning) using frameworks such as LangChain or LangGraph\r\nDesign prompt structures, system instructions, and interaction patterns focused on reliability and grounded responses\r\nEvaluation & Quality\r\nImplement evaluation strategies for retrieval quality, answer faithfulness, and hallucination mitigation\r\nOptimize latency, cost, and relevance across GenAI pipelines\r\nData Integration\r\nIntegrate structured and unstructured data sources including databases, APIs, enterprise systems, and document repositories\r\nBuild ingestion pipelines and data preparation workflows to support GenAI use cases\r\nProduction & Operationalization\r\nPackage and deploy services using containers, APIs, and CI/CD pipelines\r\nApply monitoring, logging, security, and testing best practices\r\nEnsure compliance with Responsible AI, security, privacy, and data governance standards\r\nRequired Skills\r\nStrong hands-on experience with Python in application development\r\nPractical experience building RAG systems (embeddings, vector databases, retrieval tuning)\r\nExperience working with LLMs (OpenAI, Anthropic, or similar)\r\nFamiliarity with LangChain, LangGraph, or similar orchestration frameworks\r\nExperience deploying and operating applications in cloud environments\r\nNice to Have\r\nExperience with agent-based systems or multi-agent workflows\r\nKnowledge of production monitoring, evaluation frameworks, and GenAI optimization techniques\r\nPrior experience working in regulated or enterprise environments\r\nThe base compensation range for this role in the posted location is: [$115,00 to $150,000]\r\nCapgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.\r\nThe actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.\r\nThese may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.\r\nIt is not typical for candidates to be hired at or near the top of the posted compensation range.\r\nIn addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.\r\nCapgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees.\r\nPaid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave\r\nMedical, dental, and vision coverage (or provincial healthcare coordination in Canada)\r\nRetirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)\r\nLife and disability insurance\r\nEmployee assistance programs\r\nOther benefits as provided by local policy and eligibility\r\nImportant Notice\r\nCompensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini's discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation.\r\nDisclaimers\r\nCapgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.\r\nThis is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.\r\nPlease be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.\r\nClick the following link for more information on your rights as an Applicant in the United States.\r\nCapgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.\r\nLocation\r\nIrving, TX, USBurlington, MA, USWest Hartford, US\r\nBrand\r\nCapgemini\r\nProfessional Community\r\nSoftware Engineering\r\nCapgemini is an Equal Opportunity Employer encouraging diversity in the workplace.\r\nAll qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.\r\nRef. code: 436256\r\nPosted on: Mar 12, 2026\r\nExperience Level: Experienced Professionals\r\nContract Type: Permanent\r\nJ-18808-Ljbffr","datePosted":"2026-04-09T07:58:17.045Z","dateModified":"2026-04-09T07:58:17.045Z","hiringOrganization":{"@type":"Organization","name":"Capgemini","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"East Boston","addressRegion":"MA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"d4f91a5a8c7461aa59b2f212"},"url":"https://jobsearcher.com/jobs/d4f91a5a8c7461aa59b2f212"}}