Dein persönlicher KI-Karriere-Agent
Full-Stack Developer Intern (AI / GenAI Systems)(m/w/x)
Designing RAG pipelines and multi-step agents with LangChain for AI systems. Prior work with Langchain, LangGraph, and vector databases required. Building FastAPI services, Docker containerization.
Anforderungen
- Student in computer science, machine learning, AI, or comparable 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 comparable frontend framework
- Familiarity with AWS services
Aufgaben
- Design and implement RAG pipelines
- Build prompt strategies and retrieval logic
- Develop multi-step agents with LangChain and LangGraph
- Parse and process PDFs and data
- Build FastAPI services
- Manage PostgreSQL and Alembic
- Integrate vector search
- Use Docker and AWS
- Contribute to SvelteKit and React features
- Collaborate on AI system architecture
Ausbildung
- Laufendes Studium
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- RAG architectures
- LLM workflows
- Langchain
- LangGraph
- Pinecone
- Weaviate
- FAISS
- Docker
- FastAPI
- SvelteKit
- React
- Angular
- Vue
- AWS
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Full-Stack Developer Intern (AI / GenAI Systems)(m/w/x)
Designing RAG pipelines and multi-step agents with LangChain for AI systems. Prior work with Langchain, LangGraph, and vector databases required. Building FastAPI services, Docker containerization.
Anforderungen
- Student in computer science, machine learning, AI, or comparable 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 comparable frontend framework
- Familiarity with AWS services
Aufgaben
- Design and implement RAG pipelines
- Build prompt strategies and retrieval logic
- Develop multi-step agents with LangChain and LangGraph
- Parse and process PDFs and data
- Build FastAPI services
- Manage PostgreSQL and Alembic
- Integrate vector search
- Use Docker and AWS
- Contribute to SvelteKit and React features
- Collaborate on AI system architecture
Ausbildung
- Laufendes Studium
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- RAG architectures
- LLM workflows
- Langchain
- LangGraph
- Pinecone
- Weaviate
- FAISS
- Docker
- FastAPI
- SvelteKit
- React
- Angular
- Vue
- AWS
Gefällt dir diese Stelle?
BetaDein Career Agent findet täglich ähnliche Jobs für dich.
Über das Unternehmen
Fresenius Medical Care D. GmbH
Branche
Healthcare
Beschreibung
The company is dedicated to improving the lives of patients with chronic kidney disease through innovative, high-quality products and treatments.
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