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

Job Description:

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: 01.07.2026
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