AI Engineer (Mia-Care)

Mia-Platform; Milano; In loco; EUR 40.000 - 60.000; Tempo pieno

Vantaggi offerti da questo lavoro

Ticket restaurants

Insurance coverage for medical expenses

Corporate benefits platform with discounts

Descrizione del lavoro

Mia-Platform in Milano is seeking an AI Engineer to enhance its Mia-Care Team. This role includes designing LLMs for medical software, managing MLOps, and collaborating directly with product experts.

Ideal candidates will possess a Master's Degree in Computer Science or Engineering and relevant experience with Python, LLM tools, and MLOps technologies. The position offers a hybrid workplace and a competitive benefits package that promotes work-life balance.

Competenze

• 0-2+ relevant years of experience.
• Experience with prompt versioning and model monitoring.

Mansioni

• Design, fine-tune and evaluate LLMs for medical device software analysis.
• Own the full MLOps lifecycle: model versioning, monitoring, and continuous improvement.
• Craft and validate prompts for gap analysis and remediation workflows.

Conoscenze

Knowledge of Python or Rust

Knowledge of LLM tools

Familiarity with MLOps tools

Experience with LLM evaluation frameworks

Experience with retrieval-augmented generation (RAG) pipelines

Formazione

Master’s Degree in Computer Science or Computer Engineering

Strumenti

Docker

GCP (Vertex AI, Cloud Run, GCS)

Descrizione del lavoro

The role

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

• 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

• 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

• 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 smart working 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.

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

• 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.)