AI Enablement Engineer

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.

• 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).

• 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.
  

• →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
  

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.