AI Enablement Engineer

Enroute; Gran Dinastía; Presencial; MXN 600.000 - 900.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Year-end Bonus

Life Insurance

Health Check-Up Subsidy

Work-from-home Bonus

Laptop Policy

Descripción de la vacante

Enroute is seeking a forward-thinking AI Enablement Engineer to accelerate our software teams by integrating AI into the SDLC. You will identify, implement, and optimize AI tools, scripts, and custom harnesses to improve developer productivity and outcomes.

The ideal candidate has deep AI model knowledge, strong scripting in Python and Bash, and experience building chatbots and MCP integrations. You will monitor AI usage, costs, latency, and effectiveness, while evangelizing best practices

Formación

• Solid understanding of integrating AI into the Software Development Life Cycle (SDLC).
• Deep architectural knowledge of AI models (OpenAI, Anthropic, open-source) and their context windows.
• Strong scripting in Python and Bash.
• Experience building AI harnesses, chatbots, and wrapper APIs.
• Familiarity with the Model Context Protocol (MCP) to connect AI with data sources.
• Experience telemetry and monitoring for AI usage (costs, latency, effectiveness).

Responsabilidades

• Evaluate and select effective AI tools and models for SDLC challenges.
• Design, script, and deploy AI harnesses, internal chatbots, and MCP integrations.
• Monitor enterprise AI usage, optimizing for cost, performance, and accuracy.
• Educate engineering teams on prompts and best practices for AI tools.
• Stay ahead of evolving AI innovations and bring external ideas internally.

Conocimientos

SDLC AI integration

Python

Bash

AI harnesses

MCP

Telemetry

Cost optimization

Herramientas

GitHub Copilot

Claude

LangChain

LlamaIndex

OpenAI models

Anthropic models

Descripción del empleo

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.

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.