{"schemaVersion":"jobsearcher.job.v1","id":"f7942e259cf36d4cf2dd3c59","url":"https://jobsearcher.com/jobs/f7942e259cf36d4cf2dd3c59","canonicalUrl":"https://jobsearcher.com/jobs/f7942e259cf36d4cf2dd3c59","title":"Sr. GEN AI Python Engineer","description":"Hanover, NH, United States (On-site)\n Contract (5 months 10 days)\n Published 3 hours ago\nREST API development\nGen AI\nLLM Orchestration\npython development\nCI/CD\ncontainerization\nObservability & Monitoring\nfinancial data analysis\nLangChain/LangGraph\n\nSenior Python Developer GenAI Focused Contractor within the IB Analytics team at Barclays\n\nThe role owner will be responsible for hands-on design development enhancement debugging testing and deployment of Generative AI capabilities for our Agentic platform with a specific focus on MCP integrations agent orchestration RAG enterprise web search and Investment Banking workflows\n\nThe successful candidate will build Python based GenAI services MCP servers agent workflows and reusable platform components that can be deployed securely within the enterprise cloud environment\n\nKey Responsibilities:\n\nDesign develop enhance and maintain Python based GenAI services agent workflows MCP integrations and reusable platform capabilities\n\nBuild MCP servers clients tools resources prompts schemas and authorization patterns for internal and third party systems\n\nImplement agent orchestration flows including tool calling function calling workflow execution retrieval and output generation\n\nIntegrate internal and external data sources such as financial data providers SEC filings web search enterprise repositories and banking data services into agent workflows\n\nDesign and implement RAG pipelines covering ingestion chunking embeddings retrieval ranking answer synthesis and citations\n\nDevelop production grade backend services and APIs using Python Fast API async programming patterns and secure service integration practices\n\nImplement authentication authorization entitlement checks and secure access patterns for user specific consumption of MCP enabled services\n\nPerform testing debugging prompt evaluation model output validation logging monitoring and operational telemetry for GenAI components\n\nWork closely with product owners business analysts architects cloud engineers governance teams and bankers to convert requirements into production ready AI capabilities\n\nMaintain clear documentation of technical design assumptions interfaces limitations failure modes and operating considerations\n\nEssential Basic Qualifications:\n\nTo be successful in this role you should have:\n\nStrong hands-on experience in Python for backend ML or GenAI application development\n\nProven experience building GenAI applications LLM workflows agentic systems or AI enabled production services\n\nSolid understanding of MCP concepts and practical implementation patterns for tools resources prompts servers and clients\n\nExperience with LLM orchestration frameworks such as LangChain/LangGraph or similar\n\nStrong understanding of RAG vector search embeddings retrieval quality citations and grounding patterns\n\nExperience developing APIs and backend services using FastAPI REST APIs async Python and service to service integration patterns\n\nWorking knowledge of Git modern version control practices CICD workflows and test automation\n\nExperience deploying or integrating containerized services in a cloud environment preferably AWS\n\nGood understanding of authentication authorization secrets handling entitlements and enterprise security patterns\n\nAbility to independently debug complex distributed systems across APIs data flows cloud services prompts and model outputs\n\nPrior experience in banking financial services capital markets or other regulated technology environments\n\nBachelor degree in a quantitative or technical discipline such as Computer Science Engineering AI or equivalent experience\n\nDesirable Good to Have Skills:\n\nHands-on experience with GenAI capabilities on AWS including Bedrock Claude models embedding services or equivalent managed AI services\n\nExperience integrating financial data providers such as FactSet Bloomberg SP Capital IQ Refinitiv Fitch or similar\n\nExperience implementing enterprise web search document intelligence or search grounded AI workflows\n\nExperience with vector databases or search platforms such as OpenSearch pg Vector Pinecone Weaviate Chroma or similar\n\nFamiliarity with OpenTelemetry structured logging prompt version tracking AI evaluation frameworks and production observability\n\nUnderstanding of model risk management AI governance data privacy explainability and controls in regulated firms\n\nExperience building output generation capabilities such as Word PowerPoint PDF briefing packs or document generation workflows\n\nExposure to Investment Banking workflows such as IPO prospectus preparation shareholder activism research ECM DCM MA or advisory processes\n\nOther Skills Attributes:\n\nStrong problem solving mindset with the ability to operate independently in a fastmoving delivery environment\n\nExcellent communication skills and the ability to collaborate with technical and nontechnical stakeholders\n\nPragmatic engineering mindset with strong ownership accountability and focus on production readiness\n\nComfortable working across global teams architecture governance security reviews and enterprise delivery processes\n\nWillingness to mentor engineers share knowledge and contribute to reusable GenAI engineering patterns\n\nThe pay range that the employer in good faith reasonably expects to pay for this position is $41.61/hour - $65.01/hour. Our benefits include medical, dental, vision and retirement benefits. Applications will be accepted on an ongoing basis.\n\nTundra Technical Solutions is among North America’s leading providers of Staffing and Consulting Services. Our success and our clients’ success are built on a foundation of service excellence. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Unincorporated LA County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: client provided property, including hardware (both of which may include data) entrusted to you from theft, loss or damage; return all portable client computer hardware in your possession (including the data contained therein) upon completion of the assignment, and; maintain the confidentiality of client proprietary, confidential, or non-public information. In addition, job duties require access to secure and protected client information technology systems and related data security obligations.","company":"Capgemini","rawCompany":"capgemini","city":"Hanover","state":"NH","isRemote":false,"isActive":false,"createdAt":"2026-08-27T11:54:01.259Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"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":"Sr. GEN AI Python Engineer","description":"Hanover, NH, United States (On-site)\n Contract (5 months 10 days)\n Published 3 hours ago\nREST API development\nGen AI\nLLM Orchestration\npython development\nCI/CD\ncontainerization\nObservability & Monitoring\nfinancial data analysis\nLangChain/LangGraph\n\nSenior Python Developer GenAI Focused Contractor within the IB Analytics team at Barclays\n\nThe role owner will be responsible for hands-on design development enhancement debugging testing and deployment of Generative AI capabilities for our Agentic platform with a specific focus on MCP integrations agent orchestration RAG enterprise web search and Investment Banking workflows\n\nThe successful candidate will build Python based GenAI services MCP servers agent workflows and reusable platform components that can be deployed securely within the enterprise cloud environment\n\nKey Responsibilities:\n\nDesign develop enhance and maintain Python based GenAI services agent workflows MCP integrations and reusable platform capabilities\n\nBuild MCP servers clients tools resources prompts schemas and authorization patterns for internal and third party systems\n\nImplement agent orchestration flows including tool calling function calling workflow execution retrieval and output generation\n\nIntegrate internal and external data sources such as financial data providers SEC filings web search enterprise repositories and banking data services into agent workflows\n\nDesign and implement RAG pipelines covering ingestion chunking embeddings retrieval ranking answer synthesis and citations\n\nDevelop production grade backend services and APIs using Python Fast API async programming patterns and secure service integration practices\n\nImplement authentication authorization entitlement checks and secure access patterns for user specific consumption of MCP enabled services\n\nPerform testing debugging prompt evaluation model output validation logging monitoring and operational telemetry for GenAI components\n\nWork closely with product owners business analysts architects cloud engineers governance teams and bankers to convert requirements into production ready AI capabilities\n\nMaintain clear documentation of technical design assumptions interfaces limitations failure modes and operating considerations\n\nEssential Basic Qualifications:\n\nTo be successful in this role you should have:\n\nStrong hands-on experience in Python for backend ML or GenAI application development\n\nProven experience building GenAI applications LLM workflows agentic systems or AI enabled production services\n\nSolid understanding of MCP concepts and practical implementation patterns for tools resources prompts servers and clients\n\nExperience with LLM orchestration frameworks such as LangChain/LangGraph or similar\n\nStrong understanding of RAG vector search embeddings retrieval quality citations and grounding patterns\n\nExperience developing APIs and backend services using FastAPI REST APIs async Python and service to service integration patterns\n\nWorking knowledge of Git modern version control practices CICD workflows and test automation\n\nExperience deploying or integrating containerized services in a cloud environment preferably AWS\n\nGood understanding of authentication authorization secrets handling entitlements and enterprise security patterns\n\nAbility to independently debug complex distributed systems across APIs data flows cloud services prompts and model outputs\n\nPrior experience in banking financial services capital markets or other regulated technology environments\n\nBachelor degree in a quantitative or technical discipline such as Computer Science Engineering AI or equivalent experience\n\nDesirable Good to Have Skills:\n\nHands-on experience with GenAI capabilities on AWS including Bedrock Claude models embedding services or equivalent managed AI services\n\nExperience integrating financial data providers such as FactSet Bloomberg SP Capital IQ Refinitiv Fitch or similar\n\nExperience implementing enterprise web search document intelligence or search grounded AI workflows\n\nExperience with vector databases or search platforms such as OpenSearch pg Vector Pinecone Weaviate Chroma or similar\n\nFamiliarity with OpenTelemetry structured logging prompt version tracking AI evaluation frameworks and production observability\n\nUnderstanding of model risk management AI governance data privacy explainability and controls in regulated firms\n\nExperience building output generation capabilities such as Word PowerPoint PDF briefing packs or document generation workflows\n\nExposure to Investment Banking workflows such as IPO prospectus preparation shareholder activism research ECM DCM MA or advisory processes\n\nOther Skills Attributes:\n\nStrong problem solving mindset with the ability to operate independently in a fastmoving delivery environment\n\nExcellent communication skills and the ability to collaborate with technical and nontechnical stakeholders\n\nPragmatic engineering mindset with strong ownership accountability and focus on production readiness\n\nComfortable working across global teams architecture governance security reviews and enterprise delivery processes\n\nWillingness to mentor engineers share knowledge and contribute to reusable GenAI engineering patterns\n\nThe pay range that the employer in good faith reasonably expects to pay for this position is $41.61/hour - $65.01/hour. Our benefits include medical, dental, vision and retirement benefits. Applications will be accepted on an ongoing basis.\n\nTundra Technical Solutions is among North America’s leading providers of Staffing and Consulting Services. Our success and our clients’ success are built on a foundation of service excellence. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Unincorporated LA County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: client provided property, including hardware (both of which may include data) entrusted to you from theft, loss or damage; return all portable client computer hardware in your possession (including the data contained therein) upon completion of the assignment, and; maintain the confidentiality of client proprietary, confidential, or non-public information. In addition, job duties require access to secure and protected client information technology systems and related data security obligations.","datePosted":"2026-08-27T11:54:01.259Z","dateModified":"2026-08-27T11:54:01.259Z","hiringOrganization":{"@type":"Organization","name":"Capgemini","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Hanover","addressRegion":"NH","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"f7942e259cf36d4cf2dd3c59"},"url":"https://jobsearcher.com/jobs/f7942e259cf36d4cf2dd3c59"}}