Your mission

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

• 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)

• Develop Python scripts for AI workflows (APIs, data processing, monitoring)
• Support maintenance and improvement of existing systems

• Work closely with engineering teams to improve system quality
• Contribute proactively to technical challenges

Your profile

What You Bring

• Enrolled student in Computer Science, Data Science, or similar
• Solid Python skills beyond notebooks
• Experience with REST APIs (JSON, authentication)
• Basic ML understanding
• Git workflow experience
• Ability to critically evaluate AI outputs (both code and data)
• Problem-solving mindset
• Very good English knowledge, knowledge of German is an advantage

• Experience with LLM APIs (OpenAI, Anthropic)
• Vector databases (e.g. Qdrant)
• AI coding assistants

Our offer

• Hands-on experience with modern AI systems
• Real impact on production use cases
• Exciting challenge in an open-minded, international team
• Good development opportunities and possibility of long-term cooperation even after graduation
• Flat hierarchies and short communication channels
• Attractive remuneration: 16 €/h 
• Modern workplace in the heart of Munich with view of the Theresienwiese
• Hybrid working possible (office and home office alternately)
• Free drinks and fruit as well as an always well-filled ice box in summer