Full Stack Engineer

Role overview

A full-time remote engineering position focused on building and scaling systems that power AI-driven automation in healthcare workflows such as intake, benefits verification, and prior authorization. The role spans both frontend and backend development, with close collaboration with AI and machine learning teams to bring models into production. It suits engineers who enjoy owning end-to-end features and contributing to product and architectural direction.

Responsibilities

- Design and build end-to-end features across frontend and backend systems - Integrate internal and external APIs, electronic health record platforms, and third-party healthcare systems - Partner with AI and ML teams to productionize models and ship them reliably - Optimize system performance, reliability, and scalability as usage grows - Contribute to product architecture discussions and overall technical direction - Support integrations involving data pipelines and external system connections

Requirements

- Strong experience with modern web stacks, including technologies such as React, Node, and Python - Track record of building scalable, production-grade systems - Familiarity with APIs, data pipelines, and system integrations - Solid software engineering fundamentals across the full stack - Ability to collaborate closely with product, AI, and ML counterparts

Nice to have

- Prior experience in healthcare or with HIPAA-compliant systems - Exposure to clinical workflows, payer-provider integrations, or healthcare data standards

Benefits and work setup

The role is full-time and remote, offering the chance to shape AI-powered automation in a regulated industry. Engineers work on meaningful healthcare problems at the intersection of AI, integrations, and product development.