Senior Python/GenAI Engineer

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

Benefits offered by this job

Health insurance

401(k)

Paid time off

Life and disability insurance

Job summary

Capgemini in Hanover, NJ is seeking a backend developer to design, build, and maintain Python-based GenAI services and MCP integrations, delivering secure, scalable APIs and workflows.

You will collaborate with product owners and engineers to implement RAG pipelines, orchestration of LLM workflows, and production-grade backend components with FastAPI, async patterns, and robust security. Experience in banking/regulated environments and cloud deployment in AWS is a plus.

Qualifications

• Strong hands-on experience in Python for backend ML or GenAI applications.
• Proven experience building GenAI applications, LLM workflows, and AI-enabled production services.
• Solid understanding of MCP concepts and practical implementation patterns for tools, servers and clients.
• Experience with LLM orchestration frameworks and vector search, embeddings, and grounding patterns.
• Experience developing APIs and backend services using FastAPI and async Python.

Responsibilities

• Design, develop, enhance and maintain Python-based GenAI services, agent workflows and MCP integrations.
• Implement agent orchestration flows including tool calling, function calling and workflow execution.
• Integrate data sources into agent workflows and design RAG pipelines with embeddings and citations.
• Develop production-grade backend services and secure APIs using Python, FastAPI and secure patterns.
• Implement authentication, authorization and entitlement checks; perform testing, logging and monitoring.

Skills

Python backend development

GenAI applications

LLM workflows

MCP concepts

APIs & REST

Async Python

Distributed systems debugging

CI/CD & test automation

Authn/Authz patterns

Banking/regulatory tech experience

Education

Bachelor's degree in Computer Science or related field

Tools

LangChain

LangGraph

FastAPI

REST APIs

Git

CI/CD tools

AWS

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 by a 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 organizations unlock the value of technology and build a more sustainable, more inclusive world.Location: Hanover, NJ.Key ResponsibilitiesDesign develop enhance and maintain Python based GenAI services agent workflows MCP integrations and reusable platform capabilitiesBuild MCP servers clients tools resources prompts schemas and authorization patterns for internal and third-party systemsImplement agent orchestration flows including tool calling function calling workflow execution retrieval and output generationIntegrate internal and external data sources such as financial data providers SEC filings web search enterprise repositories and banking data services into agent workflowsDesign and implement RAG pipelines covering ingestion chunking embeddings retrieval ranking answer synthesis and citationsDevelop production grade backend services and APIs using Python FastAPI async programming patterns and secure service integration practicesImplement authentication authorization entitlement checks and secure access patterns for user specific consumption of MCP enabled servicesPerform testing debugging prompt evaluation model output validation logging monitoring and operational telemetry for GenAI componentsWork closely with product owners' business analysts architects cloud engineers governance teams and bankers to convert requirements into production ready AI capabilitiesMaintain clear documentation of technical design assumptions interfaces limitations failure modes and operating considerationsBasic QualificationsTo be successful in this role you should haveStrong hands-on experience in Python for backend ML or GenAI application developmentProven experience building GenAI applications LLM workflows agentic systems or AI enabled production servicesSolid understanding of MCP concepts and practical implementation patterns for tools resources prompts servers and clientsExperience with LLM orchestration frameworks such as LangChain LangGraph or similarStrong understanding of RAG vector search embeddings retrieval quality citations and grounding patternsExperience developing APIs and backend services using FastAPI REST APIs async Python and service-to-service integration patternsWorking knowledge of Git modern version control practices CICD workflows and test automationExperience deploying or integrating containerized services in a cloud environment preferably AWSGood understanding of authentication authorization secrets handling entitlements and enterprise security patternsAbility to independently debug complex distributed systems across APIs data flows cloud services prompts and model outputsPrior experience in banking financial services capital markets or other regulated technology environmentsBachelor degree in a quantitative or technical discipline such as Computer Science Engineering AI or equivalent experienceThe base compensation range for this role in the posted location is: $105,000 - $115,000Capgemini 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 LeaveMedical, 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 insuranceEmployee assistance programsOther benefits as provided by local policy and eligibilityImportant 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.DisclaimersCapgemini 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-lawCapgemini 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.