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AI Engineers - Remote - ONLY MEXICO

Scalepex · Remote, MX

100 MXN / Час · Опубликовано 6 окт. 2025 г.

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О вакансии

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