Senior Fullstack Engineer - AI-Powered Healthcare Platform

Jobtailor; California (MO); On-site; USD 120,000 - 190,000; Full time

Job summary

Jobtailor seeks an experienced full‑stack product engineer to own end‑to‑end features in a healthcare platform, including scheduling, AI‑assisted clinical documentation, and payment management. You will design interfaces and APIs for patient/provider communication and engagement tools, and build AI-powered clinical data systems.

Ideal candidates ship rapidly, balance ambiguity with structured solutions, and mentor peers while improving tooling, automation, and engineering velocity within a

Qualifications

• End-to-end fullstack product-building ability across backend logic, API architecture, frontend state management, and user experience.

Responsibilities

• Owns work end to end, from database schema and API architecture through frontend user experiences.
• Design and build systems managing clinical data, treatment plans, and progress notes with AI-powered clinical intelligence.
• Make technical decisions for maintainability and scale, mentor engineers, and contribute to design discussions and code reviews.
• Build interfaces and APIs for patient and provider communication, personalized experiences, and engagement tools.
• Shape the roadmap and technical strategy with a cross-functional leadership team.
• Develop products and tooling to streamline insurance credentialing and help providers become in-network.

Skills

End-to-end fullstack

TypeScript

Python 3

React

Remix/Next.js

FastAPI

SQLAlchemy

Postgres

Redis

Snowflake

AWS

Temporal

Kafka

Datadog

Sentry

PagerDuty

Cursor

AI in healthcare

Tools

API Architecture

Frontend State Management

Database Schema Design

Engineering Patterns

Code Reviews

Job description

Jobtailor seeks an experienced full‑stack product engineer to own end‑to‑end features in a healthcare platform, including scheduling, AI‑assisted clinical documentation, and payment management. You will design interfaces and APIs for patient/provider communication and engagement tools, and build AI-powered clinical data systems.

Ideal candidates ship rapidly, balance ambiguity with structured solutions, and mentor peers while improving tooling, automation, and engineering velocity within a