Lead AI Agent Engineer - Remote LATAM

up-labs

Región Centro

A distancia

MXN 1.200.000 - 1.800.000

Jornada completa

14 días+
Generador de candidaturas

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Descripción de la vacante

Vantora is seeking a production agent-systems engineer to lead the end-to-end design, build and growth of our agentic function. You will own architecture across internal data-science agents and external customer-facing surfaces, making build-vs-buy decisions and growing a team as we scale.

You will deploy production LLM agents that take consequential action with human-in-the-loop controls, implement advanced retrieval and grounding, and ensure robust evaluation, observability, and rollback

Formación

  • 5+ years shipping production software with end-to-end ownership.
  • Strong backend experience in Python and at least one modern language.
  • Proven track record building production LLM agents or similar systems.
  • Experience with retrieval/grounding and evaluation harnesses.
  • Ability to design scalable agentic architectures and tooling.

Responsabilidades

  • Own and grow the agentic function end-to-end across surfaces.
  • Design, build, and deploy production LLM agents with controls.
  • Build eval harnesses for offline/online testing and guardrails.
  • Develop high-quality retrieval/grounding in proprietary data.
  • Collaborate with data/ML and communicate architecture to execs.

Conocimientos

Full-stack backend engineering
Python core
TS/Node or Go
Production APIs
CI/CD
Data models
Architectural design

Herramientas

LangGraph
LangSmith
MLflow
Databricks
vLLM

Descripción del empleo

Vantora is seeking a production agent-systems engineer to lead the end-to-end design, build and growth of our agentic function. You will own architecture across internal data-science agents and external customer-facing surfaces, making build-vs-buy decisions and growing a team as we scale.

You will deploy production LLM agents that take consequential action with human-in-the-loop controls, implement advanced retrieval and grounding, and ensure robust evaluation, observability, and rollback

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