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AI Engineers

hace 15 horas

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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 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