AI Engineer (GenAI / LLM) - LATAM

Descripción del puesto

We're looking for an AI Engineer to build and ship production-grade generative AI solutions: intelligent assistants, RAG systems, and autonomous agents. 100% hands-on role with end-to-end ownership: architecture, deployment, monitoring, and continuous improvement. Not research, not POCs - making it work in production.

💼 What you'll do

Build LLM applications and AI agents with LangChain / LangGraph or similar.

Implement RAG pipelines: embeddings, vector databases, hybrid search.

Integrate multiple LLMs (OpenAI, Anthropic, Gemini, open source) based on cost, latency, and quality.

Deploy on cloud (AWS / GCP / Azure) and monitor performance, drift, and cost.

Implement LLM evals to ensure response quality.

Requisitos

✅ What we're looking for

4+ years developing with Python.

Real production experience with LLMs: prompt engineering, RAG, tool calling.

Hands-on with vector databases (Pinecone, Chroma, pgvector).

Cloud + solid engineering practices: testing, version control, CI/CD.

Intermediate/advanced English.

⭐ Nice to have

Agent frameworks (CrewAI, AutoGen) and protocols like MCP.

Fine-tuning of open-source models, MLOps.

Experience with US / European clients.

Postularse

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