On-Site Forward Deployed AI Engineer (Mexico City)

BreakmarkHR

Ciudad de México

Presencial

MXN 900.000 - 1.300.000

Jornada completa

hace 27 horas
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Descripción de la vacante

BreakmarkHR is supporting an AI-native company building voice and workflow automation for operational teams. The role is Forward Deployed Engineer on‑site in Mexico City, combining full‑stack and AI/ML engineering with hands‑on customer work to ship production solutions within client environments.

You will design, build, and deploy features, tune AI/LLM solutions, and own the technical relationship with customers from onboarding through ongoing use.

Formación

  • Strong experience building full‑stack apps with React, TypeScript and Node.js.
  • Hands‑on Python development experience.
  • Experience building AI applications with LLM prompting and tooling.

Responsabilidades

  • Onboard and work with customers during implementation and adoption to maximize value.
  • Design and build new capabilities, prototypes, MVPs, and production features.
  • Develop full‑stack apps using React, TypeScript, Node.js and Python.
  • Build AI-powered apps with LLM workflows, prompting, and transcription systems.
  • Design integrations with customer systems and third‑party APIs.
  • Collaborate with Product, Engineering, and Customer Success teams.
  • Iterate rapidly based on feedback to improve performance and UX.
  • Manage multiple implementation projects with high quality and speed.
  • Travel to client sites ~40% of the time; on‑site role, not remote.

Conocimientos

React
TypeScript
Node.js
Python
LLM prompting
APIs
Customer-facing
Project management
English communication

Herramientas

APIs

Descripción del empleo

BreakmarkHR is supporting an AI-native company building voice and workflow automation for operational teams. The role is Forward Deployed Engineer on‑site in Mexico City, combining full‑stack and AI/ML engineering with hands‑on customer work to ship production solutions within client environments.

You will design, build, and deploy features, tune AI/LLM solutions, and own the technical relationship with customers from onboarding through ongoing use.

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