Responsibilities:

• Build Python microservices (FastAPI, asyncio) integrating with LLM APIs (OpenAI, Anthropic)
  
• Develop RAG pipelines and manage embeddings with vector DBs (Pinecone, Chroma)
  
• Orchestrate AI workflows: prompt routing, fallback logic, tool calling, memory handling
  
• Integrate with MongoDB, process structured/unstructured data, and deploy via Docker
  
• Collaborate with frontend, DevOps, and data teams; expose internal APIs for AI capabilities
  
• Support blockchain/data pipelines and smart contract integrations

Requirements

• 3–4+ years Python backend experience; 1–2+ years working with LLMs or GenAI
  
• Strong skills with FastAPI, asyncio, LangChain, Pydantic, and embedding tools
  
• Experience with Docker, Git, vector DBs, and cloud services (preferably Azure)
  
• Understanding of token limits, prompt formatting, and API integration patterns
  
• B2+ English and strong team collaboration skills
  

Benefits

• Solid, competitive salary.
• Work in multilingual, multinational and multicultural environment on international projects
• Medical care