Software Engineer

20 set - Ravenna
Stealth Healthcare AI Startup

Descrizione dell’offerta di lavoro

Si assicuri di inviare la sua candidatura con tutte le informazioni richieste, come indicato nella panoramica del lavoro riportata di seguito.
Who we are
We're an ambitious startup building clinical AI software for the European healthcare market (and beyond). We use AI at its best - thoughtfully, responsibly and where it can make a meaningful difference - and give our team the best possible tools and equipment to create the greatest possible impact. We're looking for a Software Engineer who wants to own features end to end and help shape both the product and how we build it.

What you'll do

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- Design, build and ship features across the stack: backend services, APIs and user-facing interfaces.
- Integrate AI components (LLMs, agents, pipelines) into a real product, with real constraints on correctness, latency and traceability.
- Use agentic coding tools as part of your daily workflow, with the judgment to know when to trust them and when not to.
- Contribute to architecture and product decisions: in a small team, your voice counts from day one.





What we're looking for
Requirements

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- 3+ years of professional software development experience.
- Willingness to work full-stack, with genuine curiosity to pick up new tools, languages and technologies quickly.
- Solid habits around automated testing, code review and CI/CD: quality as a practice, not a checkbox.
- Interest in, or hands-on experience with, the professional use of agentic coding tools.
- Autonomy and proactivity: we care deeply about the quality of how we work, and at this early stage not everything is defined yet. You'll play an active role in shaping the processes and practices we need as we grow.
- Willingness to work in a regulated space: building health software comes with regulatory and compliance requirements, and handling them well is part of the engineering job.
- Strong collaboration skills and empathy: you communicate openly, give and receive feedback well, a

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