Artificial Intelligence Engineer

AgileEngine; México; Híbrido; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Professional growth opportunities

Competitive compensation

Flexible work schedule

Descripción de la vacante

A leading technology firm in Mexico is looking for an experienced Artificial Intelligence Engineer. You will design and deploy AI solutions, mentor peers, and create scalable APIs. The ideal candidate has deep expertise in Python, machine learning, and cloud platforms. This role offers competitive compensation and a $3,000 sign-on bonus, along with opportunities for professional growth.

Formación

• 7+ years of professional software development experience.
• 5+ years deploying machine learning systems in production.
• 3+ years building with LLMs, both locally-hosted and API-based.
• Excellent verbal and written communication skills.

Responsabilidades

• Design and deploy end-to-end agentic pipelines for data.
• Build and fine-tune LLM applications.
• Develop models for contract intelligence and forecasting.
• Deliver scalable APIs and AI services.

Conocimientos

Software development experience

Deploying machine learning systems

Building LLM applications

Expertise in Python

Hands-on with agentic pipelines

Familiarity with cloud platforms

Designing scalable microservices

Communication skills

Systems-level thinking

Herramientas

PyTorch

TensorFlow

Hugging Face

Docker

Kubernetes

Descripción del empleo

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AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards.

If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you!

WHAT YOU WILL DO

• Design and deploy end-to-end agentic pipelines for structured and unstructured energy data;
• Build and fine-tune LLM applications using RAG, vector databases, and knowledge graphs;
• Develop models for contract intelligence, price forecasting, and energy portfolio optimization;
• Deliver scalable APIs and AI services using FastAPI, Flask, or similar frameworks;
• Integrate with cloud-native platforms (AWS, GCP) and modern data infrastructure;
• Mentor peers and contribute to best practices in applied AI and ML engineering.

MUST HAVES

• 7+ years of professional software development experience;
• 5+ years deploying machine learning systems in production;
• 3+ years building with LLMs, both locally-hosted and API-based (OpenAI, Gemini, etc.);
• Expertise in Python and libraries like PyTorch, TensorFlow, and Hugging Face;
• Hands-on experience with agentic pipelines, RAG, vector search, and prompt engineering;
• Deep familiarity with cloud platforms (AWS, GCP, Azure) and tools like Docker, Kubernetes;
• Experience designing scalable microservices and REST APIs for AI inference workflows;
• Excellent verbal and written communication — you’ll regularly present to the C-suite;
• Systems-level thinking with a product mindset;

NICE TO HAVES

• Experience in an early-stage startup environment;
• Experience in energy, sustainability, or infrastructure tech;
• A commitment to ethical, socially responsible AI;
• Online thought-leadership, contributions to open-source AI/ML projects and research.

THE BENEFITS OF JOINING US

- Professional growth: Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps.

- Competitive compensation: We match your ever-growing skills, talent, and contributions with competitive USD-based compensation and budgets for education, fitness, and team activities.

- A selection of exciting projects: Join projects with modern solutions development and top-tier clients that include Fortune 500 enterprises and leading product brands.

- Flextime: Tailor your schedule for an optimal work-life balance, by having the options of working from home and going to the office, whatever makes you the happiest and most productive.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology

• Industries

  Software Development

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