AI Enablement Engineer

Enroute; Monterrey; Presencial; MXN 900.000 - 1.300.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Year-end Bonus

Health Insurance

Life Insurance

Work-from-home Bonus

Laptop Policy

Certifications

Descripción de la vacante

Enroute is seeking an AI Enablement Engineer in Monterrey to accelerate our SDLC by integrating cutting-edge AI. You will evaluate AI tools, build custom harnesses and chatbots, and connect internal data sources via MCP. The role requires scripting expertise and a passion for AI with enterprise readiness.

You will monitor AI usage, optimize performance and costs, and train engineering teams on prompts and tool usage, staying ahead of the evolving AI landscape.

Formación

• SDLC augmented by AI and integrated into development workflows.
• Deep architectural understanding of multiple AI models (OpenAI, Anthropic, open-source).
• Strong scripting and programming skills with Python and Bash.
• Experience building and deploying custom AI harnesses, chatbots, and wrapper APIs.
• Familiarity with Model Context Protocol (MCP) to connect AI models with data sources.
• Experience implementing telemetry and monitoring for AI usage.

Responsabilidades

• Evaluate and select AI tools and models for engineering challenges across the SDLC.
• Design, script, and deploy custom AI harnesses and internal chatbots using MCP.
• Monitor AI usage, optimize cost, performance and accuracy across teams.
• Educate engineers on effective prompt-writing and AI tool adoption in daily workflows.
• Maintain ongoing learning to stay ahead of AI innovations and internal adoption.

Conocimientos

AI integration

Python scripting

Bash scripting

Telemetry & monitoring

Prompt engineering

Herramientas

GitHub Copilot

LangChain

LlamaIndex

MCP protocol

Descripción del empleo

• Taquitos Rewards

We love technology, and we enjoy what we do. We are always looking for innovation. We have social awareness and try to improve it daily. We make things happen. You can trust us. Our Enrouters are always up for a challenge. We ask questions, and we love to learn.

We pride ourselves on having great benefits and compensations, a fantastic work environment, flexible schedules, and policies that positively impact the balance of work and life outside of it. We care about who you are in the office and as an individual. We get involved, we like to know our people, we want every Enrouter to become part of a great community of highly driven, responsible, respectful, and above all, happy people. We want you to enjoy working with us.

We are looking for a forward-thinking AI Enablement Engineer to accelerate our engineering teams by integrating cutting-edge Artificial Intelligence into our Software Development Life Cycle (SDLC). In this role, you will be the resident AI expert, responsible for identifying, implementing, and optimizing AI tools, scripts, and custom harnesses to improve developer productivity. You will evaluate different Large Language Models (LLMs) based on their strengths and weaknesses, build custom chatbots, and implement the Model Context Protocol (MCP) to seamlessly connect our internal data with AI assistants. The ideal candidate is deeply passionate about AI—using it extensively in their personal and professional life—and possesses the scripting expertise necessary to build robust integrations and monitor AI usage across the organization.

Requirements

Required Tech:

• Solid understanding of the Software Development Life Cycle (SDLC) and how to augment it with AI.
• Deep architectural understanding of different AI models (e.g., OpenAI, Anthropic, open-source), including their specific strengths, weaknesses, and context window limitations.
• Strong scripting and programming skills (Python, Bash).
• Experience building and deploying custom AI harnesses, chatbots, and wrapper APIs.
• Familiarity with the Model Context Protocol (MCP) to connect AI models with local or enterprise data sources.
• Experience implementing telemetry and monitoring for AI usage (tracking API costs, latency, and effectiveness).

Preferred Tech

• Hands-on experience rolling out and managing AI coding assistants like GitHub, Copilot or Claude within enterprise teams.
• Experience with AI orchestration frameworks (e.g., LangChain, LlamaIndex).
• Knowledge of data privacy and security best practices when sending enterprise data to external AI providers.

Responsibilities

• Evaluate and determine the most effective AI tools and models for specific engineering challenges across the SDLC.
• Design, script, and deploy custom AI harnesses, internal chatbots, and integrations using the Model Context Protocol (MCP).
• Monitor and analyze enterprise AI usage, optimizing for cost, performance, and accuracy.
• Act as an internal evangelist and educator, training engineering teams on when, where, and how to effectively write prompts and leverage AI tools in their daily workflows.
• Maintain a high level of continuous learning to stay ahead of the rapidly evolving AI landscape and bring the best external innovations internal.

Benefits

• Monetary compensation
• Year-end Bonus
• IMSS, AFORE, INFONAVIT
• Major Medical Expenses Insurance
• Life Insurance
• Funeral Expenses Coverage
• TDU Membership
• MediAccess
• Health Check-Up Subsidy
• Preferential rates for car insurance
• Vacations
• Official Mexican Holidays
• Life Happens Days
• Bereavement Leave
• Civil Marriage Leave
• English Classes
• Certifications
• Educational Agreements (Talisis, U-ERRE, UNID, TecMilenio, Tec de Monterrey, UDEM, SPIS)
• Corporate Agreements & Discounts (Sorteos Tec, Envia Flores, TopGolf)
• Taquitos Rewards
• Birthday Bonus
• Work-from-home Bonus
• Laptop Policy

Equal employment

Enroute is committed to providing equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.