AI Engineers - Remote - ONLY MEXICO

๐Ÿข Scalepex ยท all Scalepex jobs
๐Ÿ“ Mexico
๐Ÿ“… Posted 2026-07-10 ยท via Himalayas
๐Ÿท AI-Engineering,Machine-Learning-Engineering,Software-Development,Backend-Development,Data-Engineering,Remote-Senior-AI-Engineer,Remote-AI-Developer,Remote-Machine-Learning-Engineer,Remote-Natural-Language-Processing-Engineer,Remote-AI-Specialist
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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 Youโ€™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 โ€” 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 โ€” 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 โ€” 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 โ€” 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

Originally posted on Himalayas

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