Working Student AI Engineer – LLMs, RAG & AI Agents

BerlinCompetitiveRemote0 applicants

About this role

IMPORTANT Application note

Please apply only through this job portal. Kindly do not send applications or recruitment messages by email or LinkedIn. Only applications submitted through the portal will be considered. Thank you.

Responsibilities

  • Build AI application components that are ready to be tested, deployed and maintained. You will take ownership of defined engineering work within our generative AI projects, collaborating with colleagues on implementation, review and operational quality.
  • Our team builds enterprise AI solutions that connect models with useful data and tools. Your work may contribute to document intelligence, knowledge assistants, governed analytics or AI agents that support engineering and operational workflows.
  • Develop Python services and integrations connecting language models to enterprise data, APIs and tools.
  • Implement document ingestion, chunking, embeddings and retrieval, with source references that users can inspect.
  • Build structured extraction and validation workflows for complex documents and downstream business systems.
  • Implement defined agent steps, including tool calls, permission checks, error handling and human approval.
  • Maintain evaluation cases and compare retrieval quality, answer usefulness, latency and cost as the application changes.
  • Contribute automated tests, deployment configuration, logging and documentation through reviewed pull

About AgentixLake GmbH

AgentixLake GmbH is a Data and AI engineering consultancy based in Hamburg, Germany. We design, build and operate production-grade data platforms and AI systems in our customers’ cloud accounts or on-premises environments. We are an AWS Services Partner and a Certified Services Partner in Anthropic’s Claude Partner Network. Our commercial focus is DACH and the Gulf region, alongside selected international opportunities.

EU Requirements

Job Details

Posted2 November 2026
Closes2 December 2026
Work ModeRemote

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