Senior AI & Full-Stack Developer for Ongoing Healthcare/Hospital Platform -- 2
Budget: $250 – $750 CAD
I’m stewarding a cloud-based hospital platform that already handles patient records, analytics dashboards, integrations, and several AI-powered utilities. The next big push, and where you will start contributing, is workflow automation—specifically a reliable, scalable appointment-scheduling engine.
From day one you’ll design and code the core scheduling logic, wire it to existing services, and expose a clean, responsive interface for patients and staff. Automated reminders and deeper links to billing or medical records will follow, so the solution must be architected with extensibility and security in mind.
Beyond this first milestone, I’m looking for a strategic partner who can:
• Tackle full-stack work end-to-end—database, APIs, front-end UI, and AI features.
• Shape the technical roadmap, propose improvements, and keep performance high as usage grows.
• Build, test, and document clean code that meshes smoothly with the current repository and CI/CD pipeline.
The engagement is long-term with a steady stream of enhancements and new modules after appointment scheduling rolls out. If you have solid experience blending modern web stacks with practical machine-learning solutions and you enjoy iterating on a product that directly improves hospital efficiency, I’d love to hear how you would approach the first release and how you see us scaling the platform together.
From day one you’ll design and code the core scheduling logic, wire it to existing services, and expose a clean, responsive interface for patients and staff. Automated reminders and deeper links to billing or medical records will follow, so the solution must be architected with extensibility and security in mind.
Beyond this first milestone, I’m looking for a strategic partner who can:
• Tackle full-stack work end-to-end—database, APIs, front-end UI, and AI features.
• Shape the technical roadmap, propose improvements, and keep performance high as usage grows.
• Build, test, and document clean code that meshes smoothly with the current repository and CI/CD pipeline.
The engagement is long-term with a steady stream of enhancements and new modules after appointment scheduling rolls out. If you have solid experience blending modern web stacks with practical machine-learning solutions and you enjoy iterating on a product that directly improves hospital efficiency, I’d love to hear how you would approach the first release and how you see us scaling the platform together.