AI Quality Engineer - Working Student (f/m/d)

1 month ago

Munich, GermanyEntry Level

Responsibilities

Design and run evaluations for AI features, including datasets, scoring methods, and regression tracking.
Investigate performance and scalability bottlenecks and design experiments to measure improvements.
Extend the CI pipeline so quality signals reach engineers early.
Perform exploratory and edge-case testing on new features before customer deployment.
Document and present findings precisely so engineers can act on them.

Currently studying Computer Science, Information Systems, or a similar subject.
Available 16–20 hours per week during the semester, with the option to work more during semester breaks.
Strong hands-on coding ability in Python, TypeScript, or a similar language, demonstrated through projects, ventures, or open-source work.
Curiosity about how LLM-based systems behave and how to measure them.
Fluent English; German is preferred.
Based in Munich and able to work hybrid with regular on-site team time.
Ideally experienced with Playwright, Cypress, Selenium, API testing, Docker, and CI/CD.

Real ownership from day one over quality and evaluation practices.
Direct mentorship from senior engineers and access to founders.
Hands-on experience with real customers, production systems, and frontier AI.
Flexible hours around lectures and exam periods.
Hybrid work in Munich with regular on-site collaboration.
Potential pathway into a full-time engineering role for successful working students.

11-50 employees