Senior Full-Stack Engineer – AI-Powered Healthcare Platform

Responsibilities

• Design and build REST APIs and web applications for cloud services and on-site device configuration, monitoring, and management
• Develop intuitive management UIs for both cloud-based workflows and local hardware deployment
• Architect backend services that bridge cloud (AWS) and on-premises AI compute environments
• Design low-latency database schemas covering job tracking, results storage, audit logging, and device management
• Build and maintain containerized AI inference pipelines deployed on both cloud and dedicated GPU hardware
• Implement end-to-end observability (telemetry, logging, alerting) across distributed environments
• Identify and resolve performance bottlenecks in inference pipelines and large binary data workflows
• Ensure software meets regulatory compliance standards (FDA 21 CFR Part 11/820, SOC2)
• Partner closely with ML Engineering and Research teams to bring models into production
• Contribute to design reviews, architecture discussions, and incident response rotations
• Produce technical documentation for API specs, deployment guides, and regulatory submissions

Requirements

• Bachelor's degree or higher in Computer Science, Engineering, Mathematics, or equivalent
• 5–7 years of professional software development experience
• 4+ years building and operating REST APIs and backend services in production
• 3+ years in AI/ML application development, including deploying and optimizing inference services
• 4+ years with Python and TypeScript/JavaScript across backend and frontend
• 3+ years with AWS (EC2, S3, EKS, ECR, Lambda, CloudWatch)
• 3+ years with Docker and Kubernetes, including edge or on-prem deployments
• 3+ years with SQL and NoSQL database design
• 2+ years developing software in regulated environments (FDA and/or SOC2)
• Experience with observability tooling (Prometheus, Grafana, DataDog, or similar)
• Strong grasp of DevOps practices and CI/CD pipelines
• Frontend experience with React or similar frameworks
• Comfort with ambiguity and a bias toward shipping in a startup environment.