ImprovingActive opening

AI / ML Engineer

Remote (Latin America)Found today
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  • Strong Python development experience.
  • Experience working with Qwen or similar open-source LLMs.
  • Experience building and/or tuning LLMs and GenAI applications.
  • Strong software engineering and integration skills.
  • Ability to collaborate across data science and engineering and translate ideas into production-ready implementations.
  • Comfort working end-to-end, from experimentation to production delivery.
  • Experience developing GenAI features and working with modern AI tooling.

We value clear communication, practical problem-solving, and a collaborative approach—because we build long-term, measurable outcomes together.

We’re looking for a GenAI / ML Engineer who can bridge the gap between data science and software engineering. We’ll have you working hands-on with open-source LLMs, building GenAI capabilities, and integrating them into internal tools and applications.

  • Build and develop LLM-powered applications and GenAI features.

  • Work hands-on with open-source models (including Qwen), including tuning and customization.

  • Develop internal tools and capabilities around LLMs.

  • Integrate AI/ML capabilities into existing applications and systems (not only greenfield development).

  • Partner across data science and engineering to take ideas from experimentation through production.

  • Use tools such as Claude Code to accelerate development and delivery.

  • Experience with additional open-source LLMs beyond Qwen.

  • Hands-on familiarity with modern AI tooling and accelerators for GenAI development (e.g., Claude Code or similar developer tools).

  • Track record of integrating model-driven features into production systems and internal applications.

  • Comfort iterating quickly during experimentation while maintaining software engineering best practices.

  • Contrato a largo plazo.

  • 100% Remoto.

  • Vacaciones y PTOs.

  • Posibilidad de recibir 2 bonos al año.

  • 2 revisiones salariales al año.

  • Clases de inglés.

  • Equipamiento Apple.

  • Plataforma de cursos en línea.

  • Budget para compra de libros.

  • Budget para compra de materiales de trabajo.

  • Mucho más..

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ImprovingAI / ML Engineer
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