Level
Experienced
Location
Ulm
Working Model
Onsite
Job Field
Software
Employment Type
Full Time
Contract Type
Permanent employment

Job Summary

In this role, you will develop scalable Generative AI services, implement LLM applications in Docker/Kubernetes, optimize internal RAG pipelines, provide technical support, and document best practices.

Job Technologies

Your role in the team

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 optimization and resource management.
Security & Compliance: Ensuring that all developments comply with Airbus Defence and Space's strict security policies.
RAG & MCP: Development and optimization of RAG pipelines for integrating internal knowledge databases, as well as implementing MCP tools for standardized, secure interfaces between AI models and internal tools/data sources.
Technical Support & Enablement: Support for internal users, troubleshooting, as well as the creation of technical documentation and best practices for the development team.
Active contribution to the technical roadmap through proof-of-concepts (PoCs) for new AI use cases.

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Our expectations of you

Education

Education: Completed degree in Computer Science, AI, Data Science, or comparable practical experience.

Qualifications

Programming: Very good knowledge of Python.
Networking Fundamentals: Understanding network concepts in container environments.
Version Control: Secure use of Git (Branching Strategies, Code Reviews).
Languages: Fluent German and fluent English, both written and spoken.

Experience

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 utilizing AI agents (Claude Code, OpenCode, etc.). Up-to-date with all developments in the AI field (skills, sandboxing, etc.).
Infrastructure & DevOps: Extensive experience with Docker and Kubernetes (deployment, scaling, monitoring) in on-premise environments.

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What we offer

Attractive compensation and special payments.
30 days of paid vacation and additional days off for special occasions.
Excellent opportunities for further training and great international, company-wide development prospects.
Special benefits: employer-funded retirement plan, employee stock options, discounted bicycle and car leasing, special rates on insurance, travel allowance, employee discounts at partner companies, holiday care for students.
On-site facilities: kindergarten cooperation, company doctor and other health-related services, canteen and cafeteria.
Work-life balance (job sharing, part-time models, flexible working hours, individual leave).
Working in a diverse environment with more than 140 nationalities, where every voice is heard.