Working Student – AI Engineering
Job Summary
AgentixLake GmbH Hamburg Germany
Remote within Germany 1520 hours per week Working student / Werkstudent
turn AI ideas into systems people can rely on.
An AI application needs more than a convincing first answer. It needs relevant data useful tools measurable quality and reliable software behind it.
At AgentixLake youll help build that software. Were looking for a Working Student in AI Engineering who enjoys Python and wants to develop practical applications using large language models.
AgentixLake is a Hamburg-based data and AI engineering company. We build production-grade data platforms and AI systems on our customers cloud and on-premises infrastructure.
Our projects include AI agents that investigate data pipeline failures assistants that answer questions using governed business data and document intelligence systems that extract structured information from complex manuals.
We are an AWS and Anthropic Certified Services Partner.
Working alongside experienced engineers you will:
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.
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.
Show us what you got: 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.
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.
Follow AgentixLake on LinkedIn for updates engineering insights and future opportunities.
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Send your CV your field of study expected graduation date and weekly availability. Include a university or personal project if you have onea short explanation is enough.
We welcome applicants of all backgrounds. You do not need to meet every listed requirement to apply.
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