We use AI to accelerate – not to replace thinking.
We design the system, steer the output, and take responsibility for what we ship.
Fast where it makes sense. Careful where it matters.
Activities
- 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
Requirements
- 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.
Team
- Ownership over tickets: You’re trusted with real responsibility, not just tasks. No unnecessary bureaucracy, no micromanagement – we rely on you to take things forward.
- Build > Talk: We test what works – not what sounds good. Fail fast, learn faster.
- 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.
Application Process
- A quick intro call with Sarah (Head of Talent Acquisition @smartclip)
- Video call with your future manager and a teammate – real talk, no script
- Meet us in Berlin: hands-on case study, coding challenge (pair programming), or a role play – depending on the role
- Prompt, honest feedback from Sarah – no ghosting, we promise