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About this role
Python, Azure, PostgreSQL, React.js, Full Stack Development, API Development, FastAPI, LangChain, LLM Prompt Engineering, AI Integration · I’m spinning up a production-grade application that delivers AI-driven recommendations to end users. The heart of the project is a performant micro-service written in Python/FastAPI that calls LLM chains (LangChain or LangGraph) and returns results to a React web client backed by PostgreSQL. Performance is my top architectural priority, so every layer—from data model to API to front-end rendering—must be tuned for speed and low latency.
Here’s the technology mix the codebase already leans on, so you’ll need to be fluent in all of it:
• Python 3.x with FastAPI • React (modern hooks, TypeScript a plus) • PostgreSQL (schema design, query optimisation) • LangChain or LangGraph for LLM orchestration • AWS or Azure for deployment, monitoring and CI/CD • Solid system-design skills around caching, load balancing and horizontal scaling • Previous hands-on experience shipping AI/LLM-powered features into production
You’ll take ownership of architecture decisions, implement the recommendation pipeline, wire up the front end, write tests, containerise everything, and push a first release behind feature flags. Five or more years in full-stack roles will let you hit the gro