Full stack engineer - AI product

Capgemini is an AI-powered global business and technology transformation partner with nearly 60 years of heritage and 420,000 team members worldwide. The company delivers end-to-end services and solutions leveraging capabilities across strategy, technology, design, engineering, and business operations, with 2024 global revenues of €22.1 billion.

• Bachelor's or Master's degree in Computer Science, Engineering, or related field, or equivalent practical experience.
• Strong hands-on full-stack development experience across frontend, backend, and API-driven products.
• Strong frontend experience with React, including component-based development, state management, rendering performance, and API integration.
• Experience with modern frontend tooling such as Tailwind CSS, Jest, Cypress, Nx, Module Federation, or comparable technologies.
• Strong backend experience with JavaScript, TypeScript, Node.js, and frameworks like Express.js or NestJS.
• Strong Python skills, ideally in AI/LLM/ML contexts including data processing, orchestration, model integration, RAG pipelines, evaluation scripts, or AI backend services.
• Solid understanding of REST APIs, microservices, middleware, authentication, authorization, RBAC, and secure enterprise integration.
• Understanding AI application patterns including LLMs, prompt engineering, RAG, embeddings, vector search, tool calling, and conversational interfaces.
• Experience with GCP or other cloud platforms, CI/CD, Git workflows, Docker, and production deployment practices.
• Ability to debug across UI, backend, cloud infrastructure, data flows, and AI model behavior.
• Product mindset with ability to build fast, test assumptions, and iterate from user feedback.

Bonus:

• Experience with LangChain, LangGraph, FastAPI, Flask, Vertex AI, BigQuery, Firestore, or Apigee.
• Experience with MCP, AI agents, Agent2Agent patterns, or enterprise conversational interfaces.
• Knowledge of OAuth2, SAML, OpenID Connect, or enterprise SSO flows.
• Foundational UX and product design understanding.
• Zero-to-one product experience in fast-moving environments.

• Build highly interactive and scalable frontend experiences using React or comparable frameworks with a focus on performance, usability, and maintainability.
• Develop backend services and APIs with JavaScript, TypeScript, Node.js, and frameworks such as Express.js or NestJS.
• Develop Python-based AI/LLM components, automation scripts, data-processing logic, and integration services.
• Build middleware connecting frontend with AI backends, including session management, prompt handling, permissions logic, routing flags, and data workflows.
• Support AI product flows like conversational interfaces, prompt libraries, file upload flows, RAG-based answers, structured responses, citations, and feedback mechanisms.
• Integrate with enterprise services, third-party SaaS platforms, connectors, agents, and task automation flows.
• Work with cloud services, preferably GCP, to enable scalable, observable, and production-ready deployments.
• Write clean, testable, and maintainable code with unit, integration, and end-to-end test coverage.
• Collaborate closely with Product, UX/UI, Engineering Leads, Data Science, Backend, Routing Layer, and QA teams.
• Prototype, test, and iterate quickly to shape AI behavior, user needs, and technical feasibility.

As part of the recruitment process, identity verification via ID card inspection is required, and background checks may be conducted.