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You will take ownership of the backend infrastructure, building APIs and data pipelines that connect AI products with LLMs. This involves managing retrieval, tool-calling, response streaming, and complex background processing tasks.
We’re working with a fast-growing AI company looking for a Senior FastAPI / Python Engineer to take ownership of the backend powering its AI products. You’ll build the APIs, data pipelines and orchestration layer connecting the product with LLMs, working across retrieval, tool-calling, response streaming and long-running background jobs. This is far beyond traditional CRUD development — you’ll be solving complex problems around AI reliability, performance, scalability and confidential data, with genuine ownership over architecture and technical decisions.
7+ years building backend systems in production
6+ years Python
3+ years FastAPI
Strong PostgreSQL / SQL
2+ years Redis
Strong experience designing and building production APIs
Experience with async / distributed systems and background processing
Strong understanding of reliability, scalability and production performance
Comfortable taking end-to-end ownership of backend systems
Experience using AI coding tools such as Claude Code, Cursor or Copilot
Comfortable working in a fast-moving startup environment
Experience building LLM-powered applications
RAG / retrieval systems
Vector search / vector databases
AI agents and tool-calling
LangChain or LlamaIndex
SSE, WebSockets or other streaming technologies
Document ingestion and embedding pipelines
Microsoft Graph
Email integrations
Experience integrating with external document/storage platforms
Experience handling confidential data within production AI systems
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