Working Student – AI Engineering

• Help develop Python applications that connect large language models to data, APIs, and tools
• Build and improve retrieval-augmented generation (RAG) workflows, including document processing, chunking, embeddings, and retrieval
• Support document intelligence pipelines that extract structured, source-linked information from complex documents
• Implement and test agent workflows, including tool use and human approval steps
• Create evaluation datasets and compare answer quality, retrieval performance, latency, and cost
• Add tests, logging, and documentation to make AI applications easier to operate and improve
• Work alongside experienced engineers across experimentation, evaluation, deployment, and monitoring

• Current enrollment in computer science, artificial intelligence, data science, mathematics, or a related degree
• Practical Python skills with APIs, JSON, and Git
• Good understanding of large language models and curiosity in how AI applications are built
• A careful approach to testing: you understand when a system works, when it fails, and why
• Good English communication skills
• A university or personal project involving LLMs, RAG, embeddings, or AI agents
• Experience with Amazon Bedrock, Claude, vector databases, FastAPI, Docker, or an AI application framework
• Send your CV, your field of study, expected graduation date, and weekly availability

• 23 days of annual leave
• Remote work within Germany, with hours coordinated around your studies
• Exposure to the full application lifecycle, from experimentation and evaluation to deployment and monitoring
• A small team where your questions, ideas, and contributions matter