Senior Full Stack Engineer, Ai Platform

Geisinger

Pennsylvania, United States
Fully remote
5+ years full stack engineering experience
Deep proficiency in modern react 18
Hands-on experience designing shared component libraries
Geisinger is seeking a Senior Full Stack Engineer for its AI Platform, focusing on developing and maintaining user-facing applications that enhance internal AI capabilities. The position requires extensive experience in full stack engineering, particularly with modern React and backend technologies like Python and FastAPI

Job Summary

  • Geisinger is operationalizing AI at scale by building production-ready internal applications that serve over 70 programs across clinical care and operations.
  • The Senior Full Stack Engineer owns the end-to-end product quality of user-facing applications, including the shared design system, RBAC-aware interfaces, and telemetry strategies.
  • This role requires a senior engineer who treats internal tooling as a real product surface, ensuring high adoption through fast, accessible, and trustworthy user experiences.

Matching Summary

Match Score: 85

Geisinger is seeking a Senior Full Stack Engineer for its AI Platform, focusing on developing and maintaining user-facing applications that enhance internal AI capabilities. The position requires extensive experience in full stack engineering, particularly with modern React and backend technologies like Python and FastAPI.

Skills & Requirements

Must-have

  • 5+ years full stack engineering experience
  • Deep proficiency in modern React 18
  • Hands-on experience designing shared component libraries
  • Strong fluency in Python and FastAPI
  • Demonstrated ownership of WCAG 2.1 AA accessibility
  • Experience implementing role-based access controls
  • Testing practice with Playwright or Cypress

Nice-to-have

  • Founding or lead frontend engineer on internal tools
  • Production experience with OpenTelemetry observability
  • Familiarity with healthcare data and clinical workflows
  • Experience integrating with enterprise SSO/IdP systems
  • Exposure to AI/ML application interfaces and model evaluation

Key Requirements

  • Bachelor's degree in Computer Science or equivalent professional experience
  • Minimum of 14 years relevant experience (based on degree equivalency)
  • Senior frontend voice experience on a team or product

Work Rights

Not specified

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