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AI Engineers - Remote - ONLY MEXICO

Role overview

Qualifications

  • Strong experience with modern AI techniques — LLMs, prompting, fine-tuning, RAG, vector databases
  • Strong Python engineering background, with clean, modular coding practices
  • Comfortable building systems in a solo or small-team setting with limited structure
  • Familiarity with cloud deployment (AWS/GCP), Docker, and production ML pipelines

Responsibilities

  • Start by building foundational AI capabilities and products, with opportunities to grow into leading teams and larger initiatives as they scale
  • Lead the design and development of end-to-end AI applications — from prototype to production
  • Work closely with founders, clients, and other engineers to shape both technical and product direction
  • Build and deploy LLM-based systems, including RAG pipelines, fine-tuned models, and embedding search

About the company

Scalepex logo

Scalepex

Staffing & Recruiting

Business growth and sustainment are top priorities, combine that with the ongoing need to curb costs and you have treacherous challenges. Scalepex provides individualized, high-touch support to our clients to meet their unique needs.We seek to understand where your strengths and gaps are and design a solution with you and iterate as we move forward to keep up with the ever-changing landscape. If you are looking for a firm that fills this void in the marketplace, you’ve come to the right place.Our social responsibility is to touch the untapped markets and people of underserved communities.

Company details

Company typeScaleup
IndustryStaffing & Recruiting
Company size51 - 200

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Job description

About Scalepex

Scalepex is a nearshore partner that empowers businesses to scale efficiently and effectively through exceptional services. With a strong focus on customer success, innovation, and cultural alignment, we support companies in building high-performing teams across industries.

At Scalepex, we believe in fostering an environment where our people can thrive, grow their careers, and make a real impact.

Role Overview

What You’ll Do

  • Start by building foundational AI capabilities and products, with opportunities to grow into leading teams and larger initiatives as they scale
  • Lead the design and development of end-to-end AI applications — from prototype to production
  • Work closely with founders, clients, and other engineers to shape both technical and product direction
  • Build and deploy LLM-based systems, including RAG pipelines, fine-tuned models, and embedding search
  • Own delivery of real-world solutions: architect, implement, test, ship
  • Iterate rapidly: explore new tools, try new ideas, and solve problems creatively
  • Operate with autonomy in a fast-changing environment — sometimes as the only engineer on a project
  • Occasionally dive into adjacent areas like frontend, dev tooling, or data pipelines as needed

Requirements

Must-Have Skills

  • Strong experience with modern AI techniques — LLMs, prompting, fine-tuning, RAG, vector databases
  • Strong Python engineering background, with clean, modular coding practices
  • Comfortable building systems in a solo or small-team setting with limited structure
  • Familiarity with cloud deployment (AWS/GCP), Docker, and production ML pipelines
  • Able to balance product thinking and engineering discipline
  • Startup mentality: comfortable with ambiguity, fast iteration, and wearing many hats
  • Excellent communication skills — able to work directly with clients and non-technical stakeholders

Bonus Skills

  • Experience in Conversational AI and Voice AI systems
  • Knowledge of ML frameworks (PyTorch, scikit-learn, etc.)
  • Exposure to frontend (JS/React) or dev tooling is a plus
  • MLOps / CI/CD familiarity

Benefits

  • Contractor scheme
  • 100% Remote


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MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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