Milan, Lombardy, Italy · Hybrid
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 an AI Engineer, you'll be at the core of what makes Mia-Care tick. Our platform uses…
Skills: Python, Rust, LLM Fine-tuning, LangChain, MLOps
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Design, fine-tune, and deploy LLMs to analyze medical device software for compliance gaps and remediations. Own the full MLOps lifecycle, focusing on cost optimization, scalability, and production-grade AI pipelines.
Requires a Master's degree in Computer Science or Engineering with 0-2 years of experience. Proficiency in Python or Rust and familiarity with LLM tools, GCP, and RAG pipelines are essential.
We are looking for an AI Engineer, to join our Mia-Platform group. Specifically, the person will work on our Mia-Care Team.
As an 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 adaptation 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
Select, adapt, and evaluate pre-trained LLMs for domain-specific tasks, including prompt engineering, RAG pipeline design, and targeted fine-tuning where justified.
Design and validate prompt pipelines using structured evaluation frameworks: ground-truth test sets, automated metrics, and regression suites, with documented acceptance criteria for production deployment.
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.
Master’s Degree in Computer Science or Computer Engineering.
0-2+ relevant years of experience.
Proficiency in Python as the primary language. Rust is a plus for performance-critical inference components.
Knowledge of LLM tooling: LangChain, the OpenAI and Anthropic ecosystems, and open-source model alternatives.
Familiarity with MLOps tools and practices: Docker, GCP (Vertex AI, Cloud Run, GCS).
Experience with LLM evaluation frameworks (such as RAGAS or DeepEval) and systematic prompt versioning practices.
Familiarity with LLM production monitoring: output quality drift, latency, token cost tracking, and failure mode logging.
Experience with retrieval-augmented generation (RAG) pipelines.
🌟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.)
For better development
Mia-Platform is an Independent Software Vendor that offers a range of products designed to accelerate and govern cloud-native engineering. Our solutions empower organizations to scale agile and Platform Engineering practices, drive automation and software reuse, streamline data delivery and harness the full potential of AI. In 2024, Mia-Platform has been listed in the 2024 Gartner Magic Quadrant for Cloud Application Platforms. We actively promote the adoption of Cloud Native and Open Source technologies, holding membership in the Linux Foundation and serving as a Silver member of the Cloud Native Computing Foundation (CNCF). Our strategic partnerships include industry leaders such as Confluent, Google Cloud, MongoDB, and Kubernetes. Experiencing rapid growth, we are expanding our global reach with a direct presence in the UK, USA, and across Europe through a robust network of international partners. For the third year in a row, Mia-Platform has been named one of Europe's fastest-growing companies, receiving the prestigious "Growth Leaders Award 2024." Our AI-Native Developer Platform Foundation is more than just a collection of capabilities and components necessary for modern software engineering. It is a consciously designed holistic solution for the AI-native engineering era, built to harmonize infrastructure, applications and data for intelligent engineering at scale.
Offices: Via Imbonati, 18 - MAC7, Milano, Milano 20159, IT · City Rd, 152 – 160, London , GB · Vlamoven 37a, Arnhem, Gelderland 6826 TM, NL
For better development
Mia-Platform is an Independent Software Vendor that offers a range of products designed to accelerate and govern cloud-native engineering. Our solutions empower organizations to scale agile and Platform Engineering practices, drive automation and software reuse, streamline data delivery and harness the full potential of AI. In 2024, Mia-Platform has been listed in the 2024 Gartner Magic Quadrant for Cloud Application Platforms. We actively promote the adoption of Cloud Native and Open Source technologies, holding membership in the Linux Foundation and serving as a Silver member of the Cloud Native Computing Foundation (CNCF). Our strategic partnerships include industry leaders such as Confluent, Google Cloud, MongoDB, and Kubernetes. Experiencing rapid growth, we are expanding our global reach with a direct presence in the UK, USA, and across Europe through a robust network of international partners. For the third year in a row, Mia-Platform has been named one of Europe's fastest-growing companies, receiving the prestigious "Growth Leaders Award 2024." Our AI-Native Developer Platform Foundation is more than just a collection of capabilities and components necessary for modern software engineering. It is a consciously designed holistic solution for the AI-native engineering era, built to harmonize infrastructure, applications and data for intelligent engineering at scale.
Offices: Via Imbonati, 18 - MAC7, Milano, Milano 20159, IT · City Rd, 152 – 160, London , GB · Vlamoven 37a, Arnhem, Gelderland 6826 TM, NL
