AI / ML Engineer

Improving South America; Argentina; Remote; ARS 90,953,000 - 136,430,000; Full time

Benefits offered by this job

Contrato a largo plazo

100% Remoto

Vacaciones y PTOs

2 bonos al año

2 revisiones salariales al año

Clases de inglés

Equipamiento Apple

Plataforma de cursos en línea

Budget para libros

Budget para materiales de trabajo

Mucho más..

Job summary

Improving South America is seeking a GenAI/ML Engineer to bridge data science and software engineering. You will work hands-on with open-source LLMs like Qwen to build GenAI capabilities and integrate them into internal tools and applications.

You will collaborate across data science and engineering teams, delivering production-ready features while iterating quickly and maintaining strong software engineering practices.

Qualifications

• Strong Python development experience.
• Experience with Qwen or similar open-source LLMs.
• Experience building and 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.

Responsibilities

• Build and develop LLM-powered applications and GenAI features.
• Work hands-on with open-source models including Qwen.
• Develop internal tools around LLMs.
• Integrate AI/ML capabilities into existing applications and systems.
• Partner across data science and engineering to move ideas from experimentation to production.
• Utilize Claude Code and similar tools to accelerate development.

Skills

Python development

Qwen

Open-source LLMs

GenAI features

Software engineering

Production delivery

Collaboration across teams

AI tooling

Tools

Claude Code

Job description

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..