AI Engineering Lead for Production Systems

Ranger Technical Resources, Inc.; México; On-site; MXN 1,200,000 - 1,800,000; Full time

Job summary

Ranger Technical Resources, Inc. seeks an AI Engineering Lead to shape and guide the transition toward AI-assisted software development.

You’ll collaborate with the Head of Engineering and product/ops leaders to standardize AI use, design agent workflows, and deploy agent solutions across engineering tools and data sources. You’ll lead technical direction, establish human-in-the-loop controls, and drive measurable delivery improvements through scalable AI-enabled workflows and production-grade

Qualifications

• BS in Computer Science, Information Technology, Software Engineering, or equivalent experience/field
• 8+ years of software engineering experience, including technical leadership and recent hands-on development with advanced Python
• At least 2 years building and deploying LLM applications or AI agents in production, supported by strong architecture, API design, testing, and CI/CD experience
• Experience introducing AI-assisted development workflows adopted by engineering teams, with measurable impact and clear quality controls
• Direct experience building, configuring, deploying, or operating agent solutions using Google Agent Platform
• Hands-on MCP integration development, along with experience evaluating, securing, and monitoring production AI systems

Responsibilities

• Define practical standards for AI use across requirements, design, coding, review, testing, documentation, deployment, and operations
• Build and roll out an AI-assisted engineering workflow that teams use consistently, with quality controls and measurable delivery outcomes
• Develop reusable agent workflows that address recurring engineering needs
• Build and extend agent solutions using Google Agent Platform
• Develop MCP integrations that connect agents to engineering tools, repositories, internal systems, and approved data sources
• Establish human review and approval boundaries based on the actions agents perform and their potential impact
• Create evaluation datasets and automated checks to assess agent outputs and detect regressions
• Use human evaluation where needed to assess correctness, usefulness, and behavior
• Assess changes to prompts, models, and workflows before introducing them into production
• Partner with Product Engineering and SRE/DevOps leaders to incorporate AI capabilities into development and delivery practices
• Work with Data and Engineering leaders to define trusted data access and production deployment controls
• Establish monitoring for agent reliability, output quality, failures, and operating costs
• Coach engineers, document reusable practices, and use team feedback to improve adoption
• Help grow the AI function and extend proven capabilities into customer-facing and internal business applications over time

Skills

AI-Assisted Software Development

Google Agent Platform

MCP Integration Development

Python

Agent Workflow Design

Software Architecture

LLM Evaluation

Technical Leadership

Engineering Workflow Adoption

API Design

Automated Testing

CI/CD

AI Security

Human-in-the-Loop Controls

Retrieval-Augmented Generation

Production Monitoring

Technical Documentation

Engineering Performance Measurement

Education

Bachelor's degree in Computer Science/Information Technology/Software Engineering

Tools

Google Agent Platform

CI/CD tooling

Job description

Ranger Technical Resources, Inc. seeks an AI Engineering Lead to shape and guide the transition toward AI-assisted software development.

You’ll collaborate with the Head of Engineering and product/ops leaders to standardize AI use, design agent workflows, and deploy agent solutions across engineering tools and data sources. You’ll lead technical direction, establish human-in-the-loop controls, and drive measurable delivery improvements through scalable AI-enabled workflows and production-grade