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Working Student AI Engineer – LLMs, RAG & AI Agents

Role overview

Qualifications

  • Current university enrolment in computer science, AI, data science or a related technical discipline
  • Strong practical Python skills and evidence of software you have delivered for actual users
  • Hands-on experience with an LLM application involving retrieval, tool use or structured outputs
  • Comfort working with APIs, JSON, Git and code review

Responsibilities

  • Build AI application components that are ready to be tested, deployed and maintained
  • Develop Python services and integrations connecting language models to enterprise data, APIs and tools
  • Implement document ingestion, chunking, embeddings and retrieval
  • Contribute automated tests, deployment configuration, logging and documentation through reviewed pull requests

Key facts

Hard skills

Other skills

  • Communication
  • Collaboration

About the company

datavent.io logo

datavent.io

  • Data Analytics & Business Intelligence
  • TPE
  • 2–10
We start with one use case, fixed in scope, and take it live in 6–8 weeks through our Production Sprint. From there we extend it into a production data and AI platform and keep that platform running. What we do: • Production Sprint: one AI use case in production in 6–8 weeks • Data & AI Platform Build: lakehouse and warehouse modernisation, ETL/ELT and migration from legacy systems • Production AI Systems: RAG, document intelligence and AI agents on governed enterprise data • On-prem RAG & AI Agents: open-source LLMs on servers in your own environment • Managed Data & AI Platform: ongoing operation with engineer-reviewed changes • Intelligent DataOps: a self-healing pipeline agent that diagnoses failures and proposes each fix as a pull request for an engineer to approve Selected results: • Pipeline issue resolution cut from 6–8 hours to 30 minutes • New-customer onboarding on a multi-tenant analytics platform cut from four weeks to five minutes • 70% less manual documentation work with document intelligence on an on-prem GPU server Everything we build runs in your cloud account or data centre, on your stack, with no proprietary lock-in. Your team can own and operate it. AgentixLake is an AWS Partner and an Anthropic Certified Solutions Partner, serving clients in the DACH and Gulf regions.

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Job description

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.

About AgentixLake

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.

Your role

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.

What you will do

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 requests.

What you bring

Current university enrolment in computer science, AI, data science or a related technical discipline.

Strong practical Python skills and evidence of software you have delivered for actual users, including responsibility for testing and deployment.

Hands-on experience with an LLM application involving retrieval, tool use or structured outputs, and the ability to explain its limitations.

Comfort working with APIs, JSON, Git and code review, and taking a defined task from an agreed requirement to a maintainable implementation.

Clear English communication and an evidence-based approach to debugging and evaluating system behaviour.

Experience with Amazon Bedrock, Anthropic Claude, FastAPI, Docker, vector databases or self-hosted models is valuable. We value sound implementation decisions more than the number of frameworks on your CV.

What you can expect

You will contribute to real delivery work with direct access to experienced engineers and the founders. Expect clear ownership, thoughtful code review and a part-time scope planned around your studies.

How to apply

Use the Apply button on this page to submit your CV, current study details, location and weekly availability. Explain one AI application you built, your individual contribution, how you evaluated it and what you improved after testing. An anonymised description is welcome; please do not share confidential client material.

We welcome applicants of all backgrounds. If the core responsibilities match your experience, we would like to hear from you.

Stay connected

Follow AgentixLake on LinkedIn for practical engineering insights, project updates and future opportunities. Following is optional and does not influence recruitment decisions.

LinkedIn: https://www.linkedin.com/company/agentixlakegmbh/

Website: https://agentixlake.com/

Explore our production AI work with Claude: https://agentixlake.com/production-ai-with-claude

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