AI Engineer ID34949 ($3,000 signing bonus)

AgileEngine; Mérida; Híbrido; MXN 1,493,000 - 2,240,000; Jornada completa

Descripción de la vacante

A software development firm is seeking a Senior AI Engineer to design and deploy AI systems for energy procurement. The ideal candidate has over 7 years of experience in software development and 5 years in machine learning. Responsibilities include building LLM applications, collaborating across teams, and mentoring peers. The role offers competitive compensation, professional growth opportunities, and flexible working arrangements.

Servicios

Competitive USD-based compensation

Professional growth opportunities

Flextime options

Formación

• 7+ years of professional software development experience.
• 5+ years deploying machine learning systems in production.
• 3+ years building with LLMs (OpenAI, Gemini, etc.).
• Hands-on experience with agentic pipelines and vector search.
• Upper-Intermediate English level.

Responsabilidades

• Design and deploy end-to-end agentic pipelines for energy data.
• Build and fine-tune LLM applications using RAG and knowledge graphs.
• Integrate with cloud-native platforms (AWS, GCP).
• Deliver scalable APIs and AI services.

Conocimientos

Python

Machine Learning

LLMs

Docker

Kubernetes

REST APIs

Cloud platforms (AWS, GCP, Azure)

Communication

Descripción del empleo

Join us and receive a $3,000 signing bonus!

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.

WHY JOIN US

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


ABOUT THE ROLE

We’re seeking a deeply technical and product-minded Senior AI Engineer to help design, build, and deploy real-world AI systems that drive meaningful outcomes for energy procurement and management. You’ll collaborate cross-functionally with product, engineering, and data infrastructure teams to develop intelligent systems powered by LLMs and ML. If you thrive in fast-moving environments and love turning unstructured data into scalable, high-impact tools—this role is for 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;
- Upper-Intermediate English level.

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.