ph3bThe role /b /h3 pWe are looking for an bAI Engineer /b, to join our Mia-Platform group. Specifically, the person will work on our Mia-Care Team. /p pAs a bAI Engineer /b, 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. /p pThis 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. /p h3bResponsibilities /b /h3 ul lipbDesign, fine-tune and evaluate LLMs /b for domain-specific tasks in medical device software analysis. /p /li lipbCraft and validate prompts /b that drive gap analysis and remediation workflows — iterating rigorously until the output is something you'd stake your reputation on. /p /li lipbOwn the full MLOps lifecycle /b: model versioning, monitoring, evaluation pipelines, and continuous improvement. /p /li lipbOptimize for cost and scalability /b: you'll obsess over inference efficiency, latency, and making sure what you build can grow without burning the budget. /p /li lipbBuild AI pipelines /b that are reliable, observable, and production-grade from day one. /p /li lipbCollaborate directly with product and domain experts /b to translate regulatory complexity into AI-solvable problems — no translation layer, no ticket queue. /p /li /ul h3bHow we work /b /h3 ul lipbFull-stack AI mindset. /b 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. /p /li lipbPractical Engineering. /b 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. /p /li lipbHigh Ownership, Low Bureaucracy. /b We provide the autonomy to make critical technical decisions. In return, we expect a high level of accountability and a commitment to delivering excellence. /p /li /ul h3bQualifications /b /h3 ul liMaster’s Degree in Computer Science or Computer Engineering. /li li0-2+ relevant years of experience. /li liKnowledge of Python or Rust. /li liKnowledge of LLM tools (LangChain, OpenAI / Anthropic / open-source model ecosystem). /li liFamiliarity with MLOps tools and practices: Docker, GCP (Vertex AI, Cloud Run, GCS). /li liExperience with LLM evaluation frameworks, prompt versioning and model monitoring. /li liExperience with retrieval-augmented generation (RAG) pipelines. /li /ul h3bWe offer /b /h3 pbA competitive total-reward package /b /p pWe offer a four-dimension package: Compensation (fixed and variable) + Benefits + Growth opportunities + an inspiring Culture. /p pbHybrid Workplace /b /p pWe 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. /p pbDEI /b /p pAs stated in our Manifesto we reject any form of discrimination and we strive every day to embrace diversity and to guarantee inclusion. /p pbLD and perks /b /p ul liTraining path and access to Mia-Platform hub with a vastity of training courses /li liTeam building and many surprising events /li liTicket restaurants /li liInsurance coverage for medical expenses /li liCorporate benefits platform with significant discounts on the purchase of different types of services (gyms, travel, technology, etc.) /li /ul /p #J-18808-Ljbffr

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