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Senior Full-Stack Engineer – AI-Powered Healthcare Platform
Location
North America
Posted
4 days ago
Salary
$180K - $260K / year
Seniority
Senior
Job Description
Senior Full-Stack Engineer – AI-Powered Healthcare Platform
Calliere Group
• 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
Job 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.
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