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AI Engineers - Remote - ONLY MEXICO

Scalepex · Mexico · Remote

  • Professional Services
  • 51–200 employees
  • Plano, Texas

Weak hiring record · median 510 days open

1414

Hiring signal

Ghost risk

Open 393 days · How we score

All reasons
  • Open 393 days
  • 100% of this employer's openings are over 60 days old

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AI Engineers - Remote - ONLY MEXICO at Scalepex. We’ll keep it in your applied jobs, so you can see it later and be warned before applying to the same employer twice.

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

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
  • Contractor scheme
  • 100% Remote

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