Objective
We are looking for a Staff AI Engineer to join our AI Products Chapter and help us build the next generation of AI-driven experiences within Spin, part of a multi-business ecosystem. We are not looking for someone to build prototypes or proofs of concept. We are looking for a technical leader with a strong software engineering foundation who has shipped AI agents, copilots, or agentic systems to production with real users, real traffic, and real operational accountability. As a Staff-level engineer, you will work alongside Product Managers, Designers, Data Scientists, Researchers, and squads from different tribes to define how agentic systems are architected, deployed, evaluated, and operated at scale, setting the engineering standard for AI products across the entire organization.
What you’ll do
Design and build the engineering architecture behind AI agents and copilots: tool use, orchestration, retrieval, memory, and multi-step reasoning.
Take agentic systems from prototype to production: deployment, observability, latency, cost, error handling,



and graceful degradation when the model fails.
Build and maintain evaluation (evals) pipelines, guardrails, and monitoring to catch regressions and quality drift before they reach users.
Own the reliability of agentic systems in production: on-call readiness, incident response, and root-cause fixes — not just handoff to another team.
Collaborate with Product Managers, Designers, Data Scientists, and business teams from early discovery through launch and iteration.
Define and evangelize engineering standards, patterns, and best practices for agentic and GenAI-based systems across squads and tribes.
Drive engineering initiatives end-to-end with autonomy: scope the problem, align stakeholders, sequence the work, and see it through to production — without depending on a dedicated Technical Program Manager.
Make build-vs-buy and architecture trade-off calls (framework, model provider, retrieval strategy, orchestration

📌 Staff AI Engineer (Ciudad de México)
🏢 Spin Careers
📍 Ciudad de México