Tintschl Unternehmensgruppe Ulm vor 2 Wochen

Generative AI/Agentic AI Engineer (d/m/w)

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Fascination aviation - Ready to take off!

For our long-standing business partner AIRBUS we are looking for you as a new employee of Tintschl Technik GmbH!

Tasks

  • Design, develop, test, and orchestrate scalable Generative AI services, chatbots, and autonomous AI agents using modern AI frameworks.
  • Deploy, operate, and maintain LLM infrastructures in a secure on-premise environment using Docker and Kubernetes.
  • Optimize system performance, scalability, and resource management for AI applications.
  • Develop and optimize Retrieval-Augmented Generation (RAG) pipelines connected to internal knowledge bases.
  • Implement Model Context Protocol (MCP) tools to provide secure and standardized interfaces between AI models and internal systems.
  • Ensure all AI solutions comply with Airbus Defence and Space security and compliance standards.
  • Provide technical support, troubleshooting, and documentation for internal users and development teams.
  • Contribute to the AI roadmap by developing proof-of-concepts (PoCs) for new AI use cases.

Required Qualifications

  • Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, or a comparable qualification.
  • Strong programming skills in Python.
  • Proven experience developing LLM applications, chatbots, and AI agents.
  • Experience with LLM inference frameworks (e.g., vLLM, SGLang).
  • Experience with Vector Databases (e.g., Qdrant, Chroma).
  • Hands-on experience with AI agent frameworks and modern AI development tools.
  • Strong knowledge of Docker and Kubernetes for deployment and management of on-premise AI infrastructures.
  • Basic understanding of networking concepts in containerized environments.
  • Experience with Git version control (branching strategies, code reviews).
  • Basic experience with RAG architectures and Model Context Protocol (MCP).
  • Knowledge of CI/CD pipelines is a strong advantage.
  • Experience with logging and monitoring tools for server environments is an advantage.
  • Basic understanding of cybersecurity principles for AI systems.
  • Experience with LLM evaluation frameworks is desirable.
  • Fluent German and good English communication skills.

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