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Key Responsibilities:
- Design and develop scalable backend services (Python, FastAPI) powering the AI platform.
- Build and optimize RAG pipelines, AI agent systems, and orchestration of LLM models in production.
- Manage cloud infrastructure (AWS/Azure) including multi-tenant isolation and serverless functions.
Requirements:
- Minimum 5 years of commercial experience in backend engineering with Python.
- Very good knowledge of FastAPI (async, Pydantic, dependency injection) and TypeScript.
- Experience with PostgreSQL, Celery, Docker, Kubernetes, CI/CD, and IaC.
Nice to have:
- Experience with GraphRAG, graph databases (Neo4j), on-premise LLM serving (vLLM, TGI), or fine-tuning.
- Full-stack experience with TypeScript/Node.js (NestJS, Express, Fastify).
- Cloud certifications or knowledge of German.
Offer:
- Long-term project with full-time remote work.
- Start ASAP and real impact on system architecture.
- Occasional meetings in Munich.
N/A
A dynamic startup building a modern B2B AI platform powered by autonomous agents. The company focuses on eliminating tedious analytics for enterprise teams through flexible architecture and advanced workflows.