Senior Python/GenAI Engineer

Capgemini; New York (NY); On-site; USD 105,000 - 115,000; Full time

Benefits offered by this job

Paid time off

Health insurance

401(k) plan

Life and disability insurance

Job summary

Capgemini seeks a Python backend engineer to design and maintain GenAI services and MCP integrations in a Hanover, NJ-based team. You will build scalable API-backed workflows, implement LLM orchestration, and ensure secure access to internal platforms.

You will work with product owners, cloud engineers and bankers to translate requirements into production-ready AI capabilities, while maintaining clear documentation and robust telemetry.

Qualifications

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

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 into agent workflows (financial data, SEC filings, web search, banking data services).
• Design and implement RAG pipelines for 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.
• Implement authentication, authorization, entitlement checks and secure access patterns for MCP-enabled services.
• Perform testing, debugging, prompt evaluation, model output validation, logging, monitoring and telemetry for GenAI components.

Skills

Python backend

GenAI apps

MCP concepts

LLM orchestration

RAG embeddings

FastAPI REST

Education

Bachelor's degree in Computer Science or related field

Tools

LangChain

LangGraph

Job description

Choosing 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 bya 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 organizationsunlock the value of technology and build a more sustainable, more inclusive world.

Location: Hanover, NJ.

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

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 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

The base compensation range for this role in the posted location is: $105,000 - $115,000

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.

• 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.

Click the following link for more information on your rights as an Applicant in the United States. http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law

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.