RAD HIRES

Full-Stack AI Engineer

Remote, LATAM. Full-time placement with a US-based tech startup. Mid-to-senior.

About the role

Rad Hires places senior LATAM engineers into US tech startups that need someone who can take an ambiguous problem from blank page to shipped MVP, with AI integrated at every stage.

We are hiring architects and harness builders. The model is the engine. The harness is everything around it: repo structure, MCP servers, tools, sub-agents, evals, guardrails, internal UIs, documentation, traces, and automation pipelines. A good harness makes a mediocre model useful in production. A bad harness wastes a great one. We hire the people who build the harness.

This is explicitly a mid-to-senior role. AI tooling amplifies the engineering instincts you already have. It does not install them where they are missing. We are looking for engineers whose judgment about systems, maintainability, and tradeoffs was earned before the model could help.

Who you will work with

Our clients are US-based tech startups, typically seed through Series B,



building AI-forward products. Small teams, fast cycles, real customers from day one. The kind of place where one engineer can ship a feature from blank page to first user without three meetings to get permission. You will work directly with the founding team, product, and operations, not behind layers of management.

What you will do

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Design codebases so AI agents can work in them with high success rates. Repo conventions, AGENTS.md or CLAUDE.md hierarchies, machine-readable structure, and the guardrails (tests, linters, hooks) that keep agents honest while they edit.

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Build MCP servers, custom tools, and focused sub-agents that wrap business logic and expose it to both AI clients and non-technical teammates.

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Set up retrieval, schemas, and context systems so models do not have to guess.

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Build internal tools (admin panels, CMS layers, visual editors, configuration UIs) that let marketing, ops, and support

📌 AI Engineer (Ciudad de México)
🏢 Rad Hires
📍 Ciudad de México