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Hospitals rely on complex, interconnected systems to keep operating rooms running smoothly. This role sits at the intersection of computer vision, hospital software, and real-world workflows — turning AI model results into clear, interpretable information that existing systems and hospital teams can actually use.

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Working at Lynqo

At Lynqo we are building the computer-vision platform that turns what happens in the operating room into reliable insights, from instrument counting to automated registration. Our goal: safer, more efficient surgery, less pressure on clinical teams and better use of every OR.

As our founding full-stack engineer, you build the layer that brings those insights to the hospital: the cloud and data platform, the web apps for nurses, planners and surgeons, and the deployment to every OR device.

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Your role in a nutshell

• Full-time hybrid role ( in office + Remote)
• Close collaboration with our CTO, computer vision team and hospital partners
• You own the end-to-end pipeline
• We value ownership, initiative and autonomy with an open communication
• Antwerp based office (Dunden coworking) </aside>

Your mission ahead

• Data management in Azure. Store, find and delete anonymised surgical video, images and metadata, following the retention policies agreed with each hospital. Make it easy for the computer-vision team to access, and keep it scalable as new hospitals and more edge devices join.
• Privacy and security. Handle privacy-sensitive data with care: only anonymised data leaves the device, and access is limited to the people and systems that need it.
• Cloud and web platform. Run, extend and keep healthy the cloud services and APIs that connect devices, data and users.
• Frontends for the OR team. Design simple screens for scrub nurses, planners and surgeons, based on how they really work, and test them with users in the hospital.
• CI/CD and infrastructure. Own the build, test and deployment pipelines, and keep every environment reproducible.
• Edge fleet deployment. Take device rollout from a single hand-configured pilot to a managed fleet with safe updates, together with our computer-vision engineers.

✅ This role is a great fit if you have …

• 2–4 years of professional software engineering, with production systems you have built and also kept running.
• Strong TypeScript and React: you have shipped user-facing screens that real non-technical users rely on.
• Solid Python backend work (FastAPI, Django or similar), including async I/O and REST/WebSocket APIs.
• Relational data modelling in PostgreSQL: schema design, migrations, indexes, query tuning.
• Handling privacy sensitive data with care.
• CI/CD you set up yourself, not only used: GitHub Actions or similar, Docker, infrastructure as code.
• Hands-on Azure (or AWS/GCP with a willingness to switch): blob/object storage, managed databases, containers, identity.