Job Title : AI Engineer with strong Python coding experience
Location : Mexico Remote
Long Term Contract
About the Role
We are seeking a Lead AI/ML Engineer to architect, build, and operationalize a full-lifecycle, automated evaluation harness for non-deterministic Generative AI agents deployed across our Cloud GTM space (e.g., deep research, conversational analytics, pipeline forecasting).
In this role, you will transition our AI evaluations from manual human reviews to high-throughput automated pipelines backed by LLM-as-a-Judge and targeted human audits. You will work at the intersection of enterprise software engineering, distributed computing, and cutting-edge LLM evaluation frameworks to ensure data integrity, eliminate regressions, and scale our GTM agent capabilities.
Key Responsibilities
1. Foundations & Local Sandbox Development
Build robust golden datasets extracted from UAT logs and utilize frontier models to synthetically generate variations (typos, phrasing, syntax) for robust testing.
Construct local developer sandbox environments using the Google ADK framework with version-controlled prompts in Cider.
Generate test scripts and code snippets mapped to defined success metrics for continuous local unit testing.
2. Production Pipeline Automation & System Architecture
Architect and deploy language-agnostic RPC endpoints to systematically invoke GTM agents within the ecosystem.
Build resilient production pipelines supporting parallel inference execution across 1,000+ trajectory datasets in under 15 minutes.
Stand up a centralized Model Context Protocol (MCP) logging server to capture raw prompts, tool trajectories, SQL queries, and token costs using strict JSON schemas.
Implement asynchronous message queues (Pub/Sub) for rate-limiting/backpressure, along with retry policies for network and generation failures.
Establish CI/CD Pull Request (PR) gates that block commits causing capability regressions, and enable pre-production shadow deployme
📌 AI Engineer with strong Python coding experience (México)
🏢 Ampstek
📍 México
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Muestra tus habilidades a la empresa, rellenar el formulario y deja un toque personal en la carta, ayudará el reclutador en la elección del candidato.