Publicly traded Canadian AI company advancing retinal imaging for earlier health insights.
Brossard, Québec
DIAGNOS (TSXV : ADK | OTCQB : DGNOF) applies deep learning to retinal imaging, generating specialist-grade reports in < 2 seconds. Our CARA platform is live in 140 clinics across 16 countries, having screened more than 400 000 patients to date. ISO certification, multi-jurisdictional clearances underpin a global addressable market we size at ~$11 billion. Commercial scale-up is under way: a three-year supply agreement with EssilorLuxottica, the world’s largest optical network, and an enterprise pilot with New Look anchor our optical-retail channel. On the public-health side, we have bid on a Quebec program to screen 1.1 million diabetics over five years. We released four new tests in February 2025, expanding use-case breadth ahead of an FDA submission later this fiscal year. With proven accuracy, DIAGNOS is looking to change the management of chronic conditions at the convergence of AI and population-scale eye care. We invite you to join us in our mission to revolutionize healthcare by harnessing the power of Artificial Intelligence, and to follow us to stay up to date on our latest developments, news, and insights! Forward-looking statements are subject to risks detailed in our public filings.
On-site · Brossard
Develop and review software across the CARA System stack, build retinal-image ingestion and processing workflows, and support reliable Kubernetes deployments for AI inference. Contribute to medical-device compliance documentation, system verification and performance testing, patient-data cybersecurity, and production integration of AI models.
On-site · Brossard
Lead and contribute to full-stack development of the CARA retinal image analysis platform, guide the software team through Agile project delivery, and oversee image ingestion, Kubernetes deployments, cloud infrastructure, and production integration of AI models. Ensure software quality, regulatory documentation and compliance, system verification and performance testing, database health, and protection of sensitive patient data.
