AI Engineer, Agentic AI Engineer

Role Overview

• You build production-ready GenAI systems: agents, RAG pipelines, LLM-driven workflows
• You work in cross-functional, agile teams on client projects
• You analyze client requirements, design and implement agent-based solutions
• You always keep quality in focus – systematic evals, regression tests, hallucination monitoring
• You integrate your LLM/agent components cleanly into existing backend and frontend architectures

Requirements

• Good to native German language skills are MANDATORY
• Bachelor’s or Master’s degree or equivalent professional qualification in Computer Science, Information Technology, Electrical Engineering, Physics, Mathematics, Artificial Intelligence, Data Science, or another natural or engineering science
• You follow a hands-on AI-engineering approach thanks to relevant professional experience
• Solid knowledge in some of these technologies: Python, pydantic, pydantic-ai, LangChain / LangGraph
• Team player who values open communication
• Consulting skills with strong communication ability and good German language skills

Tech Stack

• Python

Benefits

• Remote or office — you decide how and where you work
• Default is remote, on-site days at client locations as needed (typically every 2 weeks)
• OffProject time – Most of your time is spent on client projects. About 20% of your working time is available for training, research, open-source contributions, conference talks, community engagement, or internal AI initiatives
• You choose your complete hardware including OS — personal use allowed
• Plus a dedicated AI tooling budget (Claude/ChatGPT/Cursor/Copilot Pro licenses, API credits for experiments) — you should work with the best tools, not the cheapest
• 30 days vacation, special leave, optional purchased leave, and Christmas and New Year’s Eve are normally non-working days
• You can also take a sabbatical