AI Engineer

Smartclip
Berlin, Germany
5 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English

Job location

Remote
Berlin, Germany

Tech stack

Clean Code Principles
Java
Artificial Intelligence
Python
Machine Learning
Prometheus
Software Construction
SQL Databases
Grafana
Spark
GIT
Kubernetes
Docker
Jenkins

Job description

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, Bonus (nice to have): Bring experience with SQL, Spark, Kubernetes, Grafana, Prometheus, Graylog, Jenkins, or Java, and apply it to further improve our systems. Why you'll love working with us

  • 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.

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.

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