Full-Stack AI Engineer for RAG & Agent Reliability | Python/FastAPI

We’re seeking a Full-Stack AI Engineer to build, improve, and maintain production-ready AI applications using Python, FastAPI, React, PostgreSQL, and modern LLM frameworks. Scope of Work Build and maintain full-stack AI applications using Python, FastAPI, React, Next.js, PostgreSQL, Supabase, and Redis. Improve RAG pipelines, document processing, retrieval quality, citations, and response accuracy. Build reliable AI agents using OpenAI, Claude, LangChain, LangGraph, tool calling, and structured outputs. Develop secure multi-tenant workflows with authentication, RBAC, tenant isolation, and user permissions. Review existing code, fix frontend and backend issues, optimize APIs and database queries, and improve performance. Handle deployment, monitoring, debugging, and maintenance across AWS, Docker, Vercel, Render, or client-managed infrastructure. Requirements Strong experience with Python, FastAPI, PostgreSQL, React, APIs, and full-stack development. Proven experience building RAG applications, AI agents, chatbots, dashboards, or automation systems. Clear understanding of authentication, RBAC, secure APIs, tenant isolation, and data permissions. Ability to work independently and provide clear daily updates. Ideal Experience Full-stack AI or SaaS product development. OpenAI, Claude, LangChain, LangGraph, embeddings, and vector databases. PostgreSQL, Redis, Supabase, Docker, AWS, and CI/CD. Debugging and improving existing production applications. Success Criteria Reliable AI agents and accurate RAG responses. Secure and scalable backend architecture. Clean code, stable deployments, and improved application performance. Clear communication and predictable progress updates. Please start your application with “CRYONICS” so we know you have read the complete description.