Generative AI/Agentic AI Engineer [26084]
Actively Hiring
Full-time Posted 8 days ago
Responsibilities
- check_circle Design, coding, orchestration, and testing of scalable GenAI services, chatbots, and autonomous agents using modern frameworks
- check_circle Deployment and maintenance of LLM infrastructures in our secure on-premise environment (Docker/Kubernetes), including performance optimisation and resource management
- check_circle Ensuring that all developments comply with the strict security guidelines of Airbus Defence and Space
- check_circle Development and optimisation of RAG pipelines for connecting internal knowledge databases as well as implementation of MCP tools for standardised, secure interfaces between AI models and internal tools/data sources
- check_circle Support for internal users, troubleshooting, as well as creation of technical documentation and best practices for the development team
- check_circle Active participation in the technical roadmap through proofs-of-concept (PoCs) for new AI use cases
Basic qualifications
- Bachelor's Degree in Computer Sciences, Data Science or similar;
- Experience with RAG architectures and MCP should be present
- Knowledge of CI/CD pipelines is a great advantage
- Experience with logging & monitoring stack in the server area is an advantage
- Basic knowledge in cybersecurity for AI systems
Preferred qualifications
- Python: at least knowledge of detailed functions
- GenAI Expertise: Proven experience in developing LLM applications, chatbots, and agents. Experience with inference frameworks (vLLM, SGLang, etc.) is required
- Experience with vector databases (Qdrant, Chroma, etc.).
- Experience in using AI agents (Claude Code, OpenCode, etc.).
- Staying up-to-date with all developments in the AI field (skills, sandboxing, etc.) is absolutely necessary
- Infrastructure & DevOps: At least good experience with Docker and Kubernetes (deployment, scaling, monitoring) in on-premise environments required
- Network Basics: Understanding of network concepts in container environments is desirable
- Version Control: Confident use of Git (branching strategies, code reviews) is a great advantage
About the company
CS GROUP, together with HE Space and Sopra Steria, has been successfully providing digital end-to-end systems and engineering services for more than 40 years.
With over 2000 employees worldwide, we combine advanced and unique skills in both information technology and space data engineering. We combine entrepreneurial agility with cutting-edge technological expertise.
CS GROUP is a leading provider of operational systems and an important and trusted long-term partner for space and defence organisations.
At CS GROUP, we are driven by innovation and we value our most important asset: our people.
Tags & Focus Areas
Fulltime Ai Ai Engineer Data Engineer Robotics Generative Ai
About Sopra Steria
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