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.
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Craft and validate prompts that drive gap analysis and remediation workflows — iterating rigorously until the output is something you'd stake your reputation on.
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Own the full MLOps lifecycle: model versioning, monitoring, evaluation pipelines, and continuous improvement
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Optimize for cost and scalability: you'll obsess over inference efficiency, latency, and making sure what you build can grow without burning the budget.
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Build AI pipelines that are reliable, observable, and production-grade from day one.
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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.
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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.
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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.
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Master’s Degree in Computer Science or Computer Engineering.
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0-2+ relevant years of experience.
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Knowledge of Python or Rust.
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Knowledge of LLM tools (LangChain, OpenAI / Anthropic / open-source model ecosystem).
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Familiarity with MLOps tools and practices: Docker, GCP (Vertex AI, Cloud Run, GCS).
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Experience with LLM evaluation frameworks, prompt versioning and model monitoring.
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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
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Training path and access to Mia-Platform hub with a vastity of training courses
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Team building and many surprising events
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Ticket restaurants
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Insurance coverage for medical expenses
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Corporate benefits platform with significant discounts on the purchase of different types of services (gyms, travel, technology, etc.)
