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.

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.

Full-stack AI mindset. You own your work end-to-end,



from research and prototyping to deployment and monitoring.

Practical

Engineering. We prioritize writing clean, maintainable code and automating repetitive tasks to ensure our infrastructure remains robust and scalable. In return, we expect a high level of accountability and a commitment to delivering excellence.

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.

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

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