Full stack Engineer

Capgemini is a global business and technology transformation partner with 340,000 team members in more than 50 countries. It helps organizations accelerate their transition to a digital and sustainable world, delivering end-to-end services and solutions with strengths in AI, cloud, and data, combined with deep industry expertise and a partner ecosystem. The Group reported 2025 global revenues of EUR 22.5 billion.

• Bachelor's or Master's degree in Computer Science, Engineering, or a 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 such as Express.js or NestJS.
• Strong Python skills, ideally applied in AI/LLM/ML contexts such as data processing, orchestration, model integration, RAG pipelines, evaluation scripts, or backend AI services.
• Solid understanding of REST APIs, microservices, middleware, authentication, authorization, RBAC, and secure enterprise integration.
• Understanding of 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 complex issues across UI, backend services, cloud infrastructure, data flows, and AI model behavior.
• Product mindset with the ability to build fast, test assumptions, and iterate based on 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, focusing on performance, usability, and maintainability.
• Develop backend services and APIs using 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 capabilities connecting the frontend with AI backends, including session management, prompt handling, permissions logic, routing flags, and data workflows.
• Support AI product flows such as 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 support scalable, observable, and production-ready deployments.
• Write clean, testable, and maintainable code with proper unit, integration, and end-to-end test coverage.
• Collaborate closely with Product, UX/UI, Engineering Leads, Data Science, Backend, Routing Layer, and QA teams to deliver high-quality features.
• Prototype, test, and iterate quickly in ambiguous areas where AI behavior, user needs, and technical feasibility need to be shaped together.