Full-Stack Developer Intern (AI / GenAI Systems) (m/f/d)

At Fresenius Medical Care, we are a global leader in kidney care and are committed to improving the lives of patients with chronic kidney disease. Our mission is to provide high-quality, innovative products, services, and therapies across the entire healthcare value chain. Guided by our vision—“Shaping a future worth living. For patients. Worldwide. Every day.”—we act with purpose and compassion, supported by a global team of over 125,000 employees.

Our values define how we work:

• We care for our patients, for one another, and for our communities
• We collaborate across teams and national borders to achieve excellence together
• We are committed to doing things right—growing with purpose and advancing kidney care with integrity and innovation
  
  
  

We are looking for a Full-Stack Developer Intern to join our team and help build AI-powered, end-to-end applications with a strong focus on LLM workflows, agentic systems, and RAG pipelines. The ideal candidate has hands-on GenAI experience, is comfortable working across the stack, and is excited to contribute directly to real production code from day one.

Your Responsibilities:

• End‑to‑end RAG development — design and implement retrieval‑augmented generation pipelines.
• LLM workflow engineering — build prompt strategies, tool use, retrieval logic, and orchestration flows.
• Agentic architectures — develop multi‑step agents using LangChain and LangGraph.
• Data ingestion pipelines — parse and process PDFs as well as structured and unstructured data.
• Backend & infrastructure — build FastAPI services, manage PostgreSQL/Alembic, integrate vector search, and use Docker/AWS.
• Frontend & system design — contribute to SvelteKit/React features and collaborate on scalable AI system architecture.
  
  
  

Your Profile:

• Student in computer science, machine learning, artificial intelligence, or a comparable study program
• Understanding of RAG architectures and LLM workflows
• Prior work with Langchain, LangGraph-based workflows
• Experience with vector databases: Pinecone, Weaviate, or FAISS
• Knowledge of Docker and containerisation
• Experience with FastAPI
• Experience with SvelteKit/React/Angular/Vue or a comparable frontend framework
• Familiarity with AWS services
  
  
  

Start date: 01.07.2027

Duration: 12 months

Hours: 37.5 hours/week

Location: Bad Homburg

Mandatory or voluntary internship available

Please upload your resume, proof of enrollment, and, if applicable, a cover letter.

If you indicate that you have a severe disability, please submit appropriate documentation with your application.