AI Engineer

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 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.).