About the role

At Improving, we are an IT services firm focused on AI, Data, and Applications. We modernize legacy systems, build cloud-native platforms, and deliver future-ready solutions through collaborative, long-term partnerships that drive measurable outcomes. In this role, we’ll help bridge data science and software engineering by building and delivering LLM-powered capabilities and GenAI features. You’ll work with open-source LLMs to develop internal tools and integrate AI/ML features into existing applications and systems, taking ideas from experimentation through production in partnership with data science and engineering teams.
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.

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.

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…

About the role

At Improving, we are an IT services firm focused on AI, Data, and Applications. We modernize legacy systems, build cloud-native platforms, and deliver future-ready solutions through collaborative, long-term partnerships that drive measurable outcomes. In this role, we’ll help bridge data science and software engineering by building and delivering LLM-powered capabilities and GenAI features. You’ll work with open-source LLMs to develop internal tools and integrate AI/ML features into existing applications and systems, taking ideas from experimentation through production in partnership with data science and engineering teams.
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.

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.

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…