Senior Software Engineer (Agentic AI, Cloud-native, On-prem)

Capgemini is an AI-powered global business and technology transformation partner with nearly 60 years of heritage, employing 420,000 team members in more than 50 countries. The company delivers end-to-end services and solutions across strategy, technology, design, engineering, and business operations, reporting 2024 global revenues of €22.1 billion.

• A technical degree and a solid foundation in software engineering.
• Experience building applications or integrating AI/LLM services (Azure OpenAI/OpenAI API or open-source models).
• Hands-on development in Python or Java/TypeScript/.NET, plus experience building APIs/integrations.
• Knowledge of RAG patterns, vector search (e.g., FAISS/Pinecone) or frameworks (LangChain/Semantic Kernel).
• Experience with cloud platforms (Azure/AWS/GCP) and CI/CD tools (Azure DevOps/GitHub Actions); containers (Docker/Kubernetes) are a plus.
• Understanding of security, data protection, and cost control in Generative AI.
• Fluent in English at B2 level or above.

Nice to have:

• Experience running workshops or mentoring.

• Design and build GenAI applications (cloud/on-prem) using LLMs and cloud services.
• Implement RAG patterns, vector search, and prompt orchestration.
• Integrate with client systems (APIs, events/queues) and automate CI/CD (Azure DevOps/GitHub Actions).
• Enable AI-assisted engineering (e.g., GitHub Copilot); run code reviews for quality, security and prompt patterns.
• Lead workshops/PoCs and take solutions to MVP, then scale them in production.
• Collaborate with Architecture, Data/ML and Sec/Compliance teams; ensure quality, performance and security.
• Document solutions and share knowledge (mentoring, playbooks).

Capgemini is committed to diversity and inclusion, ensuring fairness in all employment practices. They evaluate individuals based on qualifications and performance, not personal characteristics, striving to create a workplace where everyone can succeed and feel valued.