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The area of responsibility is detailed as follows: Development & Implementation: Design, coding, orchestration, and testing of scalable GenAI services, chatbots, and autonomous agents using modern frameworks; On-Premise Operation & Hosting: Deployment and maintenance of LLM infrastructures in our secure on-premise environment (Docker/Kubernetes), including performance optimisation and resource management; Security & Compliance: Ensuring that all developments comply with the strict security guidelines of Airbus Defence and Space; RAG & MCP: 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; Technical Support & Enablement: Support for internal users, troubleshooting, as well as creation of technical documentation and best practices for the development team; Active participation in the technical roadmap through proofs-of-concept (PoCs) for new AI use cases
Job Responsibility:
Development & Implementation: Design, coding, orchestration, and testing of scalable GenAI services, chatbots, and autonomous agents using modern frameworks
On-Premise Operation & Hosting: Deployment and maintenance of LLM infrastructures in our secure on-premise environment (Docker/Kubernetes), including performance optimisation and resource management
Security & Compliance: Ensuring that all developments comply with the strict security guidelines of Airbus Defence and Space
RAG & MCP: 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
Technical Support & Enablement: Support for internal users, troubleshooting, as well as creation of technical documentation and best practices for the development team
Active participation in the technical roadmap through proofs-of-concept (PoCs) for new AI use cases
Requirements:
Bachelor's Degree in Computer Sciences, Data Science or similar
Experience with RAG architectures and MCP
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
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.)
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
Infrastructure & DevOps: At least good experience with Docker and Kubernetes in on-premise environments
Network Basics: Understanding of network concepts in container environments is desirable
Version Control: Confident use of Git is a great advantage
German, at least business fluent
English, at least proficient
Nice to have:
Knowledge of CI/CD pipelines
Experience with logging & monitoring stack in the server area
Basic knowledge in cybersecurity for AI systems
Network Basics: Understanding of network concepts in container environments