Description
What you‘ll bring Essential qualifications (mandatory) Bachelor’s degree in computer science, software engineering, or a comparable technical field Solid programming skills in Python or Java Solid understanding of software architecture concepts such as layers, APIs, and separation of concerns Exposure to large language models (LLMs) through studies, personal projects, or internships responsible for delivery of outcome of assigned projects or areas of responsibility You’re comfortable working in German and can communicate confidently in English. The following experiences would be a plus: Experience with Cloude code, GitHub Co-pilot Software version control (e.g., GitHub, Git, etc.). GenAI development and agentic frameworks (e.g.
LangGraph, crewAI) ML development (e.g. scikit-learn, Pandas, Keras, Pytorch, TensorFlow, etc.) Desired soft Skills You are an analytical thinker who enjoys exploring new ideas and experimenting with different approaches to solve problems. You work in a self‑driven way, take ownership of your tasks, and value collaboration, with a strong motivation to contribute positively as a team player.
What you'll build You will help build the foundation that turns manual engineering work into smart, automated AI agents/ workflows. Your work removes friction for other engineers by making common capabilities reusable instead of reimplemented over and over again. You’ll contribute to a shared platform that enables teams to create and extend AI‑powered agents with mu
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