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Senior Product Engineer

hatchit · New York, NY, United States

Software DevelopmentSenior LevelExternal listingfull-timeabout 1 month ago

About The Role

Responsibilities

  • Own the user interface and experience across core clinical and operational workflows
  • Build production features using Next.js, React, and TypeScript
  • Implement complex multi-step forms and workflow-driven interfaces
  • Build AI-powered tools that help clinicians with documentation, clinical decision support, and voice-driven workflows
  • Work with generated API clients and maintain frontend/backend contract alignment
  • Translate real-world workflow requirements into usable software
  • Build new product capabilities from scratch as the platform expands
  • Collaborate closely with product, design, and clinical stakeholders
  • Use AI development tools to accelerate implementation while maintaining code quality
  • Participate in code reviews and technical planning

Requirements

  • 5+ years building production web applications
  • Strong TypeScript experience and proficiency with React and Next.js
  • Experience building complex multi-step forms or workflow-driven interfaces
  • Familiarity with API contracts and backend integrations
  • Comfortable tracing application behavior across frontend and backend systems, including reading and debugging Python/Django code when needed
  • Comfort working in a fast-moving startup environment
  • Experience working in an AI-assisted development workflow

Nice to Have

  • Experience with healthcare or regulated software
  • Familiarity with FHIR or clinical data systems (helpful but not required)
  • Strong product intuition and pragmatic engineering judgmenta

Tech Stack

  • Next.js, TypeScript, Tailwind, Turborepo, Python (Django, async-first), PostgreSQL, workflow state machines, and clinical integrations using Medplum and FHIR.
  • Our services run on AWS and Kubernetes, and we rely on Terraform for IaC and Datadog for APM and infrastructure monitoring.
  • We maintain automated testing and deployment pipelines using Github Actions and integrate with AI providers including Google, Anthropic, and OpenAI.

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