AI / ML Engineer

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. 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. • 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. • 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..