Descripción del puesto
What we are looking for
- 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.
What You’ll Do
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.
Required
- 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.
Benefits
- 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..