AI Engineer OpenAI / LLM / Python ES native / EN C1 / PT B2

Facundo Goiriz builds production LLM systems.

I take OpenAI, LLM, RAG, vector database, AI agent, FastAPI, and async Python work from prototype to reliable deployment. The through-line in my CV: practical AI platforms, clean backend architecture, and product workflows that still behave when model output is imperfect.

Read CV llms.txt
OpenAI LLMs RAG Vector Databases AI Agents FastAPI Async Python LangChain LangGraph DSPy

Work with Facundo

Production AI engineering from prototype to deployment

Facundo designs and ships backend-heavy AI products. His work covers architecture, data flow, model orchestration, retrieval, persistence, tracing, deployment, quality checks, and cost controls.

Best-fit projects

Use Facundo for OpenAI and LLM platforms, retrieval-augmented generation, vector search, AI agents, structured outputs, multimodal workflows, FastAPI services, and async Python systems.

Delivery focus

He is a good fit when a prototype must become a reliable product. This includes request tracing, retries, token budgets, prompt optimization, observability, latency work, and failure analysis.