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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

We build a software platform that is used in real hospital environments, with real constraints and real users. That means clarity, reliability and good communication matter just as much as technical elegance.

We value ownership, curiosity and openness. People at Lynqo take responsibility for their work from idea to deployment, invest time in understanding the context they’re building for, and aren’t afraid to ask questions or challenge assumptions.

We’re a small team with short feedback loops. You’ll work closely with both technical and non-technical colleagues, and your input will shape how the product evolves.

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Your role in a nutshell

• Full-time role, open to discuss a part-time arrangement
• Close collaboration with our CTO, AI engineer and hospital partners
• High ownership over core software, from design to deployment
• Direct impact on real hospital workflows
• Flexible working setup (Antwerp office + remote) </aside>

Your mission ahead

Backend & domain logic

• Develop backend services that translate camera-based detections into clear, consistent and explainable outcomes
• Implement business logic that reflects real hospital workflows (instrument usage, set validation, procedural context)
• Design and maintain relational database schemas, with a strong focus on data integrity and auditability

Frontend & clinical interfaces

• Build clear, responsive interfaces for hospital teams using React and Tailwind
• Translate complex clinical workflows into simple, actionable UI feedback
• Collaborate on UX decisions with a focus on clarity, correctness and usability

System integration & deployment

• Design and maintain secure integrations with existing hospital systems
• Support containerised deployments on edge devices and cloud environments
• Contribute to pilot deployments, documentation and iterative improvements based on real-world usage