ai engineer for Generative AI applications

Capgemini Engineering is a global engineering services company that helps innovative organizations develop and apply engineering, digital, and software technologies across industries. It delivers R&D and engineering services, including solutions involving autonomous vehicles, robotics, AI, and software.

• Design, build, and maintain Generative AI applications and agentic workflows supporting business-critical processes;
• Develop AI-powered solutions using Large Language Models, Retrieval-Augmented Generation, tool integration, and multi-agent architectures;
• Collaborate with business stakeholders and subject matter experts to understand requirements and translate them into scalable technical solutions;
• Contribute to solution architecture, technical design decisions, and the definition of AI engineering standards;
• Implement evaluation, monitoring, and observability capabilities for AI systems;
• Design and develop APIs and backend services supporting AI applications and integrations;
• Participate in deployment, testing, and continuous improvement throughout the AI solution lifecycle;
• Ensure solution robustness through software engineering best practices, code quality standards, version control, and automated development workflows;
• Create and maintain technical documentation, design artefacts, and knowledge-sharing materials;
• Support demonstrations, workshops, and stakeholder presentations while helping promote AI adoption across the organisation;
• Contribute to the evolution of AI engineering practices, frameworks, and reusable components;
• Collaborate with data, engineering, and business teams to identify opportunities for innovation and business value creation through Generative AI.

• Degree in Computer Science, Software Engineering, Artificial Intelligence, Data Science, or a related technical discipline;
• 2–5 Years of experience in Software Engineering, AI Engineering, or Data Engineering roles;
• Demonstrated experience building applications using Generative AI technologies;
• Strong Python programming skills and experience developing production-grade applications;
• Experience designing and developing APIs using FastAPI or similar frameworks;
• Good knowledge of SQL and data manipulation techniques;
• Understanding of software engineering principles, system design, and repository organisation;
• Experience using version control systems such as Git;
• Familiarity with Retrieval-Augmented Generation architectures and context retrieval strategies;
• Understanding of agentic design patterns, orchestration frameworks, and AI workflow concepts;
• Knowledge of prompt engineering techniques, context management strategies, and LLM evaluation approaches;
• Familiarity with ReAct, multi-agent workflows, tool calling, structured outputs, human-in-the-loop processes, and memory patterns;
• Experience with at least one major cloud platform such as Azure, AWS, or Google Cloud Platform;
• Understanding of containerisation technologies such as Docker;
• Familiarity with dependency management tools such as Poetry, uv, pip, or equivalent;
• Experience with CI/CD concepts and modern software development practices;
• Strong communication and stakeholder management skills;
• Ability to explain technical concepts effectively to technical and business audiences;
• Fluent English and French.

• Supportive atmosphere promoting work-life balance;
• Career growth programs;
• Training and certifications in cutting-edge technologies;
• National and international projects;
• Health and life insurance;
• Referral program with bonuses for talent recommendations;
• Great office locations.