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# Sr. GEN AI Python Engineer

- **Company:** Capgemini
- **Location:** Hanover, NH, United States
- **Experience:** Expert
- **Salary:** $86,549.0 - $135,221.0
- **Contract:** Temporary contract
- **Skills:** FactSet, Microsoft Word, Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Data Analysis, Automation of Tests, Cloud Computing, Computer Engineering, Continuous Integration, Data as a Services, Software Debugging, Distributed Systems, Python (Programming Language), Microsoft PowerPoint, Cloud Services, Search Technologies, Software Engineering, Data Streaming, Systems Integration, Data Logging, Large Language Models, Generative AI, Backend, Git, Fastapi, AI Platforms, Kubernetes, Search Engines, Api Design, Restful APIs, Software Version Control, Automation Anywhere
- **Published:** August 24, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=a5c88669679143e2

## About the Role

* Strong hands-on experience in Python for backend ML or GenAI application development
 * Proven experience building GenAI applications LLM workflows agentic systems or AI enabled production services
 * Solid understanding of MCP concepts and practical implementation patterns for tools resources prompts servers and clients
 * Experience with LLM orchestration frameworks such as LangChain/LangGraph or similar
 * Strong understanding of RAG vector search embeddings retrieval quality citations and grounding patterns
 * Experience developing APIs and backend services using FastAPI REST APIs async Python and service to service integration patterns
 * Working knowledge of Git modern version control practices CICD workflows and test automation
 * Experience deploying or integrating containerized services in a cloud environment preferably AWS
 * Good understanding of authentication authorization secrets handling entitlements and enterprise security patterns
 * Ability to independently debug complex distributed systems across APIs data flows cloud services prompts and model outputs
 * Prior experience in banking financial services capital markets or other regulated technology environments
 * Bachelor degree in a quantitative or technical discipline such as Computer Science Engineering AI or equivalent experience

Desirable Good to Have Skills:

 * Hands-on experience with GenAI capabilities on AWS including Bedrock Claude models embedding services or equivalent managed AI services
 * Experience integrating financial data providers such as FactSet Bloomberg SP Capital IQ Refinitiv Fitch or similar
 * Experience implementing enterprise web search document intelligence or search grounded AI workflows
 * Experience with vector databases or search platforms such as OpenSearch pg Vector Pinecone Weaviate Chroma or similar
 * Familiarity with OpenTelemetry structured logging prompt version tracking AI evaluation frameworks and production observability
 * Understanding of model risk management AI governance data privacy explainability and controls in regulated firms
 * Experience building output generation capabilities such as Word PowerPoint PDF briefing packs or document generation workflows
 * Exposure to Investment Banking workflows such as IPO prospectus preparation shareholder activism research ECM DCM MA or advisory processes, * Strong problem solving mindset with the ability to operate independently in a fastmoving delivery environment
 * Excellent communication skills and the ability to collaborate with technical and nontechnical stakeholders
 * Pragmatic engineering mindset with strong ownership accountability and focus on production readiness
 * Comfortable working across global teams architecture governance security reviews and enterprise delivery processes
 * Willingness to mentor engineers share knowledge and contribute to reusable GenAI engineering patterns

## Description

REST API development
Gen AI
LLM Orchestration
python development
CI/CD
containerization
Observability & Monitoring
financial data analysis
LangChain/LangGraph

 * Senior Python Developer GenAI Focused Contractor within the IB Analytics team at Barclays
 * The 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
 * The 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, * Design develop enhance and maintain Python based GenAI services agent workflows MCP integrations and reusable platform capabilities
 * Build MCP servers clients tools resources prompts schemas and authorization patterns for internal and third party systems
 * Implement agent orchestration flows including tool calling function calling workflow execution retrieval and output generation
 * Integrate internal and external data sources such as financial data providers SEC filings web search enterprise repositories and banking data services into agent workflows
 * Design and implement RAG pipelines covering ingestion chunking embeddings retrieval ranking answer synthesis and citations
 * Develop production grade backend services and APIs using Python Fast API async programming patterns and secure service integration practices
 * Implement authentication authorization entitlement checks and secure access patterns for user specific consumption of MCP enabled services
 * Perform testing debugging prompt evaluation model output validation logging monitoring and operational telemetry for GenAI components
 * Work closely with product owners business analysts architects cloud engineers governance teams and bankers to convert requirements into production ready AI capabilities
 * Maintain clear documentation of technical design assumptions interfaces limitations failure modes and operating considerations


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