I will build a fastapi backend with rag pipeline and llm ai agent integration

I build Python/FastAPI backends that put LLMs to work in your product. At Turing I built backend services, agentic systems and RAG pipelines, used prompt engineering to improve model accuracy, and connected LLM providers to React frontends through REST APIs. I also set up CI/CD and testing standards for AI features in production. Today I build environments that evaluate frontier AI agents, so I care about agents being reliable and testable, not just demos.

I can build:

- FastAPI REST backends with clean structure and OpenAPI docs

- RAG pipelines: "chat with your documents" and knowledge-base search

- AI agents with tools and multi-step workflows

- LLM integration (OpenAI, Anthropic and others) in your existing app

- Docker packaging, tests and CI/CD so it ships safely

You get the full source code, Docker setup and docs. Please message me first with your use case, and I'll suggest the simplest solution that works.