Senior Software Engineer — AI Features (Remote, Equity)

Platzi; Bogotá ciudad, Medellín; Presencial; MXN 900.000 - 1.200.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Kindle

15 days vacation per year

Online therapy

Team syncs

Villa Platzi

Maternity/Paternity leave

Option Pool

Hardware provided

Kindle books

Books Kindle

Descripción de la vacante

Platzi is seeking a Senior Software Engineer (Learn) to build and own AI-enabled features that run in production, focusing on orchestration, evals, and scalable models used by millions of students across Latin America. You report to the AI Lead and will defend decisions about when to build and how to run cost-efficient systems.

Seniority here is about judgment, not distance from the code; you will craft principled architecture, push for robust tooling, and ensure long-term maintainability beyond

Formación

• At least 5 years building software in production and owning scalable systems.
• Strong fundamentals in data modeling, APIs, performance, concurrency and failure modes.
• Experience with LLM-powered systems in production, not just prototypes.
• Comfort with multiple frameworks and clear architectural rationale.
• Experience with traditional ML and when a model beats a prompt.
• A product you built that we can see and use, plus bilingual English/Spanish.

Responsabilidades

• Build AI features shipped to students and own them in production.
• Design orchestration behind features; create debuggable flows.
• Incorporate evals to track improvements and trade-offs.
• Choose appropriate approach per problem (LLM, classic model, or deterministic code).
• Make defendable architecture decisions and avoid unnecessary complexity.
• Improve code quality via reviews, standards, and early-stop mechanisms.

Conocimientos

Production software

Data modeling

APIs

Performance

LLM deployment

Pydantic/Agents SDK/A2A

Classic ML experience

Bilingual

Descripción del empleo

Platzi is seeking a Senior Software Engineer (Learn) to build and own AI-enabled features that run in production, focusing on orchestration, evals, and scalable models used by millions of students across Latin America. You report to the AI Lead and will defend decisions about when to build and how to run cost-efficient systems.

Seniority here is about judgment, not distance from the code; you will craft principled architecture, push for robust tooling, and ensure long-term maintainability beyond