As a Working Student in AI Engineering, you support the development and operation of AI-powered products for the finance industry.
You work at the intersection of software, data, and AI — evaluating model performance, building automations, and contributing to scalable solutions for real-world use cases while gaining hands-on experience with modern AI technologies.
Evaluation & Data
Evaluation & Data
- Build and run evaluation pipelines for LLM-based systems
- Analyze metrics, identify edge cases, and track quality
- Create and maintain Golden and Silver datasets
- Work with evaluation frameworks and tools (like Langfuse)
Engineering & Automation
- Develop Python scripts for AI workflows (APIs, data processing, monitoring)
- Support maintenance and improvement of existing systems
Collaboration
- Work closely with engineering teams to improve system quality
- Contribute proactively to technical challenges
