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Werkstudent

KLUGSYS

Remote (Global) Internship Entry Level 1w ago

About the role

Company Description

KLUGSYS was founded by technologists and strategists committed to empowering enterprises through intelligent automation and cutting-edge digital solutions. As partners in transformation, we prioritize measurable impact, ethical innovation, and collaboration to drive change across various technological domains. With a client-focused approach, we aim to create meaningful and sustainable advancements. Join us in shaping the future of technology with KLUGSYS.

Role Description

We are looking for a motivated Werkstudent to join our engineering team and help build the next generation of agentic AI tooling. You will work directly with senior engineers and co-founders on a live product in active client engagements. This is a hands-on engineering role, you will design, build, and iterate on AI agents that ship to production.

What You Will Work On

  • Design and implement AI agents using LangGraph, CrewAI, or equivalent orchestration frameworks
  • Build tool-use pipelines connecting agents to external systems and data sources
  • Integrate LLM APIs (Anthropic Claude, OpenAI) with structured output, function-calling, and RAG
  • Develop and maintain MCP (Model Context Protocol) server integrations
  • Write evaluation harnesses to measure agent accuracy and output quality
  • Contribute to backend architecture (Python / FastAPI) and cloud deployment (Azure / AWS)

What We Are Looking For

Required:

  • Currently enrolled at a German university (Immatrikulationsbescheinigung required)
  • Solid Python skills — production-quality code, not just notebooks
  • Hands-on experience with LLM APIs and prompt engineering
  • Understanding of AI agent patterns: tool use, memory, planning loops, multi-agent orchestration
  • Familiarity with REST APIs and async Python
  • Strong written and verbal English

Nice to Have:

  • Experience with LangChain, LangGraph, CrewAI, AutoGen, or similar frameworks
  • Knowledge of RAG architectures and vector databases (Qdrant, Pinecone, Chroma)
  • Experience with Azure DevOps, CI/CD pipelines, or Docker

How to Apply

Send your application to hiring@klugsys.com with the subject line: Werkstudent Agentic AI – [Your Name] Please include:

  • Your CV (PDF)
  • Current Immatrikulationsbescheinigung
  • A brief note (max. 200 words) on an AI agent or LLM project you have built what it did, what stack you used, and what you learned
  • Links to GitHub repos, demos, or relevant work

Skills

AWSAzureFastAPILangChainLangGraphLLM APIsMCPOpenAIPythonRAGREST APIs

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