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Posted May 6, 2026

AI/ML Engineer

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Company Description

We transform healthcare experiences through intelligent digital solutions.

Tuotempo is the trusted patient engagement platform powering some of Europe and Latin America's leading healthcare institutions. Our innovative CRM system liberates medical professionals from administrative burdens so they can focus on their true passion: delivering exceptional patient care.

Our cloud-based platform seamlessly orchestrates the entire patient journey—from initial appointment booking through omnichannel appointment management and extending to comprehensive follow-up care. The result? Streamlined operations for providers and a frictionless experience for patients.

Discover how we're reshaping healthcare delivery at tuotempo.com 

 Embrace flexibility with our remote-first culture: Work entirely remotely from Italy or Spain, or collaborate in-person at our vibrant hubs in Bologna or Barcelona—we believe in empowering you to work where you thrive!



Job Description

We are looking for an innovative AI/LLM Engineer to drive the advancement of our conversational AI capabilities. You'll join our Tech&Product team as an AI/LLM Engineer, focusing on prompt engineering, multi-agent orchestration, automated testing, and deploying integrations in production with LLM systems. You'll work closely with Backend Engineers to deliver world-class AI experiences to end users.

What will you do?

Core Development

System Integration & Deployment

Research & Innovation



Qualifications

Must have

Nice to have



Additional Information

✨ What we offer:

We value a healthy work-life balance and long-term growth. Benefits vary by location, but here’s what you can expect:

Shared benefits

Italy-specific

 Spain-specific

 How does the recruitment process work?

  1. HR interview – a friendly chat to get to know you, your motivations, and tell you more about Tuotempo, our culture, and the team.
  2. Technical interview – a deep-dive with our Tech Managers, including practical discussions or small exercises focused on LLMs, multi-agent systems, prompt design, and evaluation workflows.
  3. Functional interview — a conversation with our Product Managers to understand how you collaborate cross-functionally and to align on the AI product domain.
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