The role

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We are looking for an AI Engineer, to join our Mia-Platform group. Specifically, the person will work on our Mia-Care Team.

As a AI Engineer, you'll be at the core of what makes Mia-Care tick. Our platform uses LLMs to analyze medical device software, identify compliance gaps, and suggest actionable remediations. You'll own the intelligence layer that makes this possible — from model selection and fine-tuning to production deployment and cost optimization.

This isn't a role where you plug in an API and call it a day. You'll be shaping how AI works inside a highly specialized, high-stakes domain, where quality and reliability are non-negotiable.

Responsibilities

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- Design, fine-tune and evaluate LLMs for domain-specific tasks in medical device software analysis.

- Craft and validate prompts that drive gap analysis and remediation workflows — iterating rigorously until the output is something you'd stake your reputation on.

- Own the full MLOps lifecycle: model versioning, monitoring, evaluation pipelines, and continuous improvement.

- Optimize for cost and scalability: you'll obsess over inference efficiency, latency, and making sure what you build can grow without burning the budget.

- Build AI pipelines that are reliable, observable, and production-grade from day one.

- Collaborate directly with product and domain experts to translate regulatory complexity into AI-solvable problems — no translation layer, no ticket queue.

How we work

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- Full-stack AI mindset. You own your work end-to-end, from research and prototyping to deployment and monitoring. We value builders who take complete responsibility for their features without hand-off friction.

- Practical Engineering. We are a team of builders,



not theorists. We prioritize writing clean, maintainable code and automating repetitive tasks to ensure our infrastructure remains robust and scalable.

- High Ownership, Low Bureaucracy. We provide the autonomy to make critical technical decisions. In return, we expect a high level of accountability and a commitment to delivering excellence.

Qualifications

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- Master’s Degree in Computer Science or Computer Engineering.

- 0-2+ relevant years of experience.

- Knowledge of Python or Rust.

- Knowledge of LLM tools (LangChain, OpenAI / Anthropic / open-source model ecosystem).

- Familiarity with MLOps tools and practices: Docker, GCP (Vertex AI, Cloud Run, GCS).

- Experience with LLM evaluation frameworks, prompt versioning and model monitoring.

- Experience with retrieval-augmented generation (RAG) pipelines.

We offer

A competitive total-reward package

We offer a four-dimension package: Compensation (fixed and variable) + Benefits + Growth opportunities + an inspiring Culture.

Hybrid Workplace

We believe in work-life balance and know that smart working is one of the tools to achieve a more human-scale lifestyle. We recognize the value of teamwork, combining lavoro da remoto with in-presence moments to be able to compare, exchange ideas, and move projects forward. We typically work 50% of our time from the office. xysqume

DE&I;

As stated in our Manifesto we reject any form of discrimination and we strive every day to embrace diversity and to guarantee inclusion.

L&D; and perks

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- Training path and access to Mia-Platform hub with a vastity of training courses

- Team building and many surprising events

- Ticket restaurants

- Insurance coverage for medical expenses

- Corporate benefits platform with significant discounts on the purchase of different types of services (gyms, travel, technology, etc.)

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📌 AI Engineer (Mia-Care) (Milano)
🏢 Mia-Platform
📍 Milano