AI Quality Engineer - Working Student (f/m/d)
HybridMunich, Bavaria, Germany
Munich, Bavaria, GermanyHybridFull TimeEntry LevelBachelors DegreeSmall
Full TimeEntry LevelBachelors DegreeSmall
Job Summary
Design and run evals for AI features by building datasets, scoring methods, and regression tracking. Investigate performance and scalability bottlenecks, then design experiments to demonstrate the impact of fixes. Extend the CI pipeline to deliver quality signals to engineers early in the development cycle. Perform exploratory and edge case testing on new features before they reach customer environments, documenting findings precisely for engineering action. Work 16 to 20 hours per week during the semester in a hybrid role based in Munich.
Required Qualifications
- Currently studying Computer Science, Information Systems, or similar
- Available 16 to 20 hours per week during the semester, with the option to work more during semester breaks
- Strong hands-on coding ability in Python, TypeScript or similar, proven via own projects, ventures, or open-source work
- Curiosity about how LLM-based systems behave and how to measure them, whether from coursework, side projects, or reading
- Enjoying breaking systems, and even more finding the root cause
- An ownership mindset: taking initiative, moving fast, and finishing what you start
- Fluent in English
- Based in Munich, hybrid, with regular time on-site with the team
Desired Qualifications
- Ideally in German as well
- Ideally experience with Playwright, Cypress or Selenium, API testing, Docker, and CI/CD
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