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Working Student QA Engineer (gn) – AI / LLM Systems
Control Expert GmbH
Heute
At ControlExpert, a company of the Solvd Group based in Munich, you will be part of a team at the forefront on innovation in automotive claims management. Since our founding in 2002, we have been processing more than 20 million vehicle claims every year with over 1,200 employees worldwide. Our mission is to automate the claims settlement process by integrating advanced digital solutions and AI-supported tools to create a global platform for insurers. This platform acts as an end-to-end digital claim platform, delivering seamless and smooth customer experience. As experts in digitalization, we combine AI-driven processes and cutting-edge technologies with the deep expertise of our automative specialists. Together with our in-house research and development team, we are working to bring our vision to life:
Car drivers all over the world will have their claims settled fairly on the very same day.
Do you want to make an impact? Then become part of our team now!
We are looking for a Student QA Engineer to join our Agentic AI team, working on next-generation AI systems powered by large language models (LLMs) and autonomous agents.
Your Responsibilities:
- Design and execute test cases for AI agent workflows (multi-steps reasoning, tool use, decision flows)
- Validate outputs of LLM-based systems for correctness and consistency
- Test end-to-end agentic pipelines
- Identify edge cases, hallucinations, and failure modes
- Support evaluation of prompts and agent configurations
- Assist in building automated test suites using Python or Playwright
- Collaboration with developers and AI engineers
- Document test results and improvement suggestions
- Qualification: Currently studying Computer Science, AI, Data Science, or a related field
- Expertise & Know-how: Basic understanding of software testing / QA principles and string interest in AI, LLMs, or agent-based systems
- Technical Focus: Experience with Python or TypeScript and first exposure to AWS (e.g., Bedrock), APIs, or test automation tools
- Personality & Work Style: Analytical mindset, attention to detail, and curiosity about how AI systems reason and fail
- Language: Good communication skills in German and English
- Workload: Availability as a working student (approx. 15 – 20 hours per week)
Want a quick overview of our benefits? Click here!
- Work-life balance: Flexible working hours with up to 60% remote work
- Fitness and wellness offers via Urban Sports Club
- Many employee events (sporting events, afterwork, parties, ...)
- Our in-house kitchen provides a delicious lunch at a fair price
- Corporate Benefits: Attractive discounts and voucher
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