Senior Full-Stack Engineer — AI-Powered Healthcare Platform

This is a remote position.

A well-funded, fast-moving startup is transforming how clinical laboratories work by replacing slow, resource-intensive manual processes with AI-driven automation. Their proprietary technology produces diagnostic-quality results in minutes from a single sample; eliminating traditional bottlenecks, reducing chemical waste, and dramatically expanding what's diagnostically possible.

The team is at an inflection point, moving from research-grade deployments into regulated clinical settings, and is building the engineering foundation to scale that transition globally.

The Role

You'll be a core contributor to a platform that operates across both cloud infrastructure and on-premises AI hardware; designing the systems that orchestrate, monitor, and deliver AI inference at scale. This is full-stack in the truest sense: APIs, web interfaces, containerized pipelines, observability stacks, and edge-to-cloud data flows, all in a domain where software quality has direct impact on patient care.

What You'll Own

• 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

What You Bring (this is a wish list - not a unicorn description. The first 4-6 lines matter most):

• 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
  

Bonus Points

• Familiarity with medical imaging workflows or formats (whole slide imaging, DICOM)
  
• Experience with hybrid cloud-edge architectures
  
• Background with PyTorch or TensorFlow
  
• Experience streaming and optimizing large binary data transfers
  
• Knowledge of IEC/ISO standards (62304, 14971, 13485, 27001, UL 2900)
  
• Infrastructure-as-code experience (Terraform, CloudFormation, Ansible)
  
• Prior work in healthcare technology or medical devices
  
• Experience with WebSocket or gRPC for real-time communication
  
• Cybersecurity awareness in medical device software contexts
  

Benefits