Senior GenAI/Python Engineer

Capgemini; Whippany (NJ); On-site; USD 140,000 - 180,000; Full time

Job summary

Capgemini Whippany seeks a Senior Python Developer to design, build, and deploy GenAI features on the MCP platform. You will create Python‑based GenAI services, MCP servers, and agent workflows with secure enterprise integration.

You will implement RAG pipelines, orchestrate AI workflows, and integrate diverse data sources while ensuring production‑readiness, testing, and robust monitoring.

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, CI/CD 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.
• Minimum 7 years of hands-on Python development experience and 1+ year of Generative AI experience with successful implementation in production projects

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, FastAPI, 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.

Skills

Python backend development

GenAI应用

Education

Bachelor degree in Computer Science or Engineering

Tools

LangChain

LangGraph

FastAPI

Git

CI/CD

AWS

Job description

Job role: Senior Python Developer (GenAI & MCP Focused)

Location: Whippany, NJ

Must have: Proven experience developing Python-based applications, including GenAI-powered solutions and MCP integrations for enterprise environments.

Job Description:

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, FastAPI, 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

• To be successful in this role, you should have:
• 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, CI/CD 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.
• Minimum 7 years of hands‑on Python development experience and 1+ year of Generative AI experience with successful implementation in production projects

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, S&P 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, pgVector, 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, M&A, or advisory processes.

The base compensation range for this role in the posted location is: $140,000 - $180,000

Capgemini 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.

The 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.

These 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.

It is not typical for candidates to be hired at or near the top of the posted compensation range.

In 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.

Capgemini offers a comprehensive, non‑negotiable benefits package to all regular, full‑time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:

• Paid 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
• Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
• Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
• Life and disability insurance
• Employee assistance programs
• Other benefits as provided by local policy and eligibility

Important Notice:

Compensation (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.

Disclaimers

Capgemini 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.

This 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.

Please 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.

Capgemini 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.