Werkstudent
KLUGSYS
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
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