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Product Engineer (AI)

140 000 - 300 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
middle/senior/lead
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Product Engineer (AI): Building and scaling an AI-native Healthcare Revenue Operating System with an accent on full-stack development using React, Node, and Python. Focus on integrating complex AI outputs into intuitive user workflows to automate medical coding and billing at a national scale.

Location: Must be based in or able to commute to NYC (SoHo office, 3 days/week)

Salary: $140,000 – $300,000

Company

hirify.global, part of R1 and R37 Lab, is an AI-native healthcare platform automating medical coding and financial workflows for top U.S. health systems.

What you will do

  • Develop and maintain full-stack applications using React, TypeScript, Node.js, and Python.
  • Partner with design and research teams to translate complex AI outputs into simple, trustworthy user experiences.
  • Own features end-to-end, from initial scoping and design to final deployment.
  • Collaborate on building agentic AI systems that process millions of patient encounters.
  • Shape how healthcare teams interact with intelligent automation systems.

Requirements

  • Minimum 5 years of software engineering experience.
  • Minimum 2 years of direct React development experience.
  • Must be based in or able to work from the NYC office at least 3 days per week.
  • Expertise across the stack including TypeScript, Node.js, SQL, and Python.
  • Proven ability to own features from scoping to production.

Nice to have

  • Visual design skills using Figma or Illustrator.

Culture & Benefits

  • Top-of-market compensation including salary and equity.
  • Comprehensive health benefits and 401(k) matching.
  • Flexible PTO policy.
  • Opportunity to work on mission-driven technology with high-impact scale.

Hiring process

  • Introductory call to discuss background and mission alignment.
  • Technical deep-dives including pseudo-coding and systems design.
  • In-person culture interview in NYC.

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