AI Engineer

As an AI Engineer (w/m/d), you take ownership of the architecture and operation of our AI agents. You work closely with Data Scientists to turn AI prototypes into robust, reliable, and scalable production systems - and continuously evolve them.

• Design, Build & Run: Architect reliable AI systems
• Measure & Improve Quality: Define metrics, run systematic evaluations, and conduct A/B testing
• Bridge the Gap: Work closely with Data Scientists to bring prototypes into production
• Explore New Frontiers: Evaluate and apply the latest AI/ML technologies and practices, * Apply software engineering best practices consistently - testing, clean code, and solid architecture.
• Stay curious and actively explore new technologies, applying them where they create real value.
• Work effectively in agile, cross-functional teams where fast delivery, learning, and iteration are the norm.
• Use Python and AI frameworks such as Pydantic-AI, LangGraph, or similar to build robust solutions.
• Use Docker and docker-compose to containerize applications.
• Work confidently with Git as a core tool for team collaboration.

Bonus (nice to have): Bring experience with SQL, Spark, Kubernetes, Grafana, Prometheus, Graylog, Jenkins, or Java, and apply it to further improve our systems., * High standards, low ego: We take our work seriously, but not ourselves. Direct feedback, honest collaboration, no drama.

• Stay sharp: Hackathons, conferences, community - we invest in your growth and keep you at the cutting edge.
• And yes - the fundamentals are covered too: 30 days of vacation + Dec 24 & 31 off, Smart Fridays (4 days week possible), mobility (Germany ticket & JobRad), sports & health offerings, mental health support, corporate benefits, RTL+ access, and more.

Do you have experience in Spark?