About the Role
We're looking for a hands-on AI Engineer to serve as the primary engineering executor for a generative AI platform in production. You'll build and operate AI agents in Azure AI Foundry, help maintain and evolve an internal AI assistant, and support integrations with tools like Copilot Studio — while also keeping a portfolio of classical ML models running smoothly in production.
This is an execution-focused role: you'll take well-defined specifications from the Lead AI Engineer & Architect and ship them independently, asking sharp clarifying questions when architectural decisions aren't yet settled. Documentation is part of the craft here, not an afterthought — you'll be working with a distributed, general team across time zones and need to communicate clearly in written and verbal English.
What You'll Do
Build and maintain AI agents in Azure AI Foundry — developing new agents from specs and enhancing existing agents already in production
Support the operation and evolution of the internal AI assistant, including agent integration, prompt iteration,
and performance tuning
Contribute to platform integrations between the internal assistant and adjacent tools such as Copilot Studio, including integrating Copilot Studio agents into Foundry
Implement the LLMOps framework for generative AI systems — evaluation pipelines, prompt versioning, observability, and cost monitoring — aligned to standards set by the Lead AI Engineer & Architect
Operate classical ML models in production (classification, regression, time series), including scheduled retraining, performance monitoring, and troubleshooting
Build monitoring and observability tooling for ML models and AI agents: dashboards, alerts, and operational runbooks
Partner with QA to ensure models and agents keep meeting quality standards, supporting recurring evaluations as needed
Write clear technical documentation — code docs, READMEs, operational runbooks, and feature documentation
Provide first-level technical
📌 Senior AI Engineer (México)
🏢 Tech9
📍 México