Working Student – AI Engineering
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Job Description
Working Student building Python AI applications, RAG workflows, and agent systems at Hamburg-based data and AI engineering company AgentixLake. Supporting evaluation, testing, deployment, and monitoring.
Responsibilities:
- 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
Requirements:
- 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
Benefits:
- 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
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