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Scalepex

Rosales / Global

AI Engineers - Remote - ONLY MEXICO

  • Remote

Job Description

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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