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AI Engineers - Remote - ONLY MEXICO

Scalepex · Mexico · Remote · Posted 4 days ago

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About the job

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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