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Staff Software Engineer, Full Stack - Remote

Posted 15 weeks ago
Software Development
Full Time
United States

Overview

Rad AI is seeking a Staff Software Engineer with full stack experience to join their team in transforming healthcare with AI.

In Short

  • Develop large-scale web applications to streamline user workflows.
  • Lead the team by coaching and driving continuous improvement.
  • Work on a modern JavaScript (React/TypeScript) frontend.
  • Develop Python, FastAPI backend services including REST APIs.
  • Build new features for a growing customer base.
  • Ensure code meets security and maintainability standards.
  • Collaborate with various stakeholders to iterate on features.
  • Advocate for product quality, security, and performance improvements.
  • Take operational responsibility for team-owned services.

Requirements

  • 8+ years of full stack engineering experience.
  • In-depth knowledge of JavaScript/TypeScript, Python, and FastAPI.
  • Experience with relational and document-based databases.
  • Ability to architect and operate scalable backend systems.
  • Fluency with HTML, CSS, and responsive design.
  • Familiarity with cross-browser compatibility and browser APIs.
  • Experience with unit and integration testing.
  • Strong version control skills using git.
  • Experience with performance optimization at scale.

Benefits

  • Comprehensive Medical, Dental, Vision & Life insurance.
  • HSA (with employer match), FSA, & DCFSA.
  • 401(k) plan.
  • 11 paid company holidays.
  • Location-flexibility (remote-first company).
  • Flexible PTO policy.
  • Annual company-wide offsite.
  • Periodic team offsites.
  • Annual equipment stipend.
Rad AI logo

Rad AI

Rad AI is a forward-thinking technology company specializing in artificial intelligence solutions for the healthcare industry. The company focuses on enhancing radiology workflows and improving patient outcomes through innovative AI-driven tools. With a commitment to leveraging cutting-edge technology, Rad AI aims to empower healthcare professionals and streamline processes, ultimately transforming the way medical imaging is utilized.

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