Cassini Technologies develops ophthalmic diagnostic and surgical guidance devices. We are a ~40-person MedTech scaleup based in The Hague, operating in a regulated environment (ISO 13485, EU MDR, FDA QMSR). We move fast, hold high standards, and expect people to own their work end to end.

About the role

We are creating a new position to centralize and drive AI adoption across the organization. This is a hands-on implementation role. You will be the person who tests, builds, deploys, and maintains AI-powered tools and workflows across every function: R&D, QA/RA, Operations, Clinical, Field Service, and Commercial.

Key responsibilities

Tool evaluation: Continuously test and assess AI tools against real Cassini use cases; cut through hype and identify what actually works in a regulated environment
Workflow automation: Design and deploy automated workflows, integrations, and AI-assisted processes across the organization
Team enablement: Run practical training, create how-to documentation, and embed new tools directly into team workflows; measure actual adoption, not just session attendance
Development team support: Work closely with R&D to accelerate software workflows through AI: code review, test generation, documentation tooling; get hands-on
Infrastructure management: Maintain a clear map of all AI tools in use, manage access and licensing, track costs, and flag risk proactively
AI policy and guidelines: Own Cassini’s internal AI policy, i.e. approved tools, data handling constraints, and what responsible use looks like within Cassini’s environment

What we are looking for

We are looking for someone who has already built real things and can prove it. You are technically capable, genuinely curious, and able to learn fast. We work alongside AI practitioners who build their own agents daily, so we can tell the difference between someone who ships and someone who has only watched tutorials.

You are technically literate. You can read and debug someone else’s script, trace what an API call actually does, and reason about why and how LLMs, APIs, and automation tooling work.
You have built, deployed, and maintained automation using tools like Make, n8n, Zapier, or similar for real workflows.
You can write Python or a comparable scripting language well enough to connect tools, process data, and build lightweight integrations.
You are comfortable connecting tools and data sources through MCP, and have wired up multi-step workflows that hand off between tools.
You have a track record of picking up new tools quickly and applying them practically
You communicate clearly with both technical and non-technical people. You can run a practical workshop and write a policy document that people will actually read
You are comfortable in an environment with data governance or compliance constraints (regulated industry, QMS, security, or similar) and understand what that means for AI tool selection and data handling

This is not a strategic role, there is no team to manage and no roadmap to present. If you are energized by building things that people actually use and iterating until they work, then you’ll fit right in. The complete team consists of builders and managers also contribute.

What we offer

Building something from scratch in an organization that is ready for it
Varied, fast-moving work with visible impact
The Hague office with a hybrid working model
Standard office package: snacks, travel card, pension contribution

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