Sr. GEN AI Python Engineer

Capgemini; Hanover (NH); On-site; USD 57,000 - 90,000; Part time

Job summary

Barclays is seeking a Senior Python Developer GenAI-focused contractor in New Hampshire to design, build, and deploy GenAI capabilities for the Agentic platform, focusing on MCP integrations, agent orchestration, RAG, and enterprise banking workflows.

You will develop Python-based GenAI services and reusable platform components, deploy securely in enterprise clouds, and collaborate with product owners, architects, and cloud engineers to ensure production readiness.

Qualifications

• Strong hands-on experience in Python for backend ML or GenAI development.

Responsibilities

• Design, develop, and maintain Python GenAI services and MCP integrations.

Skills

Python

GenAI development

LLM workflows

FastAPI

Git & CI/CD

Distributed systems

Security patterns

AWS

Banking domain

Debugging distributed systems

Education

Bachelor's degree in CS/Engineering

Tools

LangChain

LangGraph

OpenSearch

Pinecone

Weaviate

Chroma

OpenTelemetry

Job description

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

Key Responsibilities:

• 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

Essential Basic Qualifications:

• 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

Other Skills Attributes:

• 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

The 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.

Tundra 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.