Prototyping & Full-Stack Development
- Engage directly with stakeholders to translate requirements into technical specs and rapidly ship full-stack MVPs within short sprint cycles across diverse MedTech and Health RCM use cases.
- Build and maintain end-to-end web and mobile applications (iOS & Android) using React, React Native, Expo, Node.js, and Python.
- Design backend services, REST APIs, and data pipelines handling clinical-grade and RCM data at scale.
- Leverage AI-assisted development tools (Claude Code, Cursor, GitHub Copilot) to accelerate delivery and raise engineering throughput.
ML Model Integration
- Integrate ML and predictive models delivered by the data science team into production applications, ensuring seamless inference pipelines, versioned model deployments, and real-time or batch serving as required.
- Implement formal controls for ML model lifecycle management version control of model weights, deployment scripts, and rollback procedures — as required for FDA traceability.
- Collaborate closely with data scientists to define data contracts, API boundaries, and integration test coverage for model-powered features.
Scaling to Production & Maintenance
- Own the transition from MVP to production-ready: refactor for performance, reliability, and security; implement CI/CD pipelines, containerisation (Docker), and cloud deployments (AWS / Azure / DigitalOcean).
- Maintain production applications with a robust sense of ownership — proactive monitoring, issue triage, and incident resolution.
- Build and maintain BI dashboards and data visualisation tools to surface actionable insights for clinical and operations leadership.
Regulatory Awareness
- Develop software with an inherent understanding of regulated medtech environments; contribute to validation documentation and audit-readiness activities alongside QA and the regulatory teams.
Required Qualifications & Experience
Education & Experience
- Bachelor’s or Master’s in Compu