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2 дня назад

Senior Software Engineer (AI)

165 000 - 220 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
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

Senior Software Engineer (AI): Building and scaling a real-time compensation data platform with an accent on AI integrations and fullstack development. Focus on developing an agent harness, designing scalable backend systems, and improving complex enterprise data workflows.

Location: Hybrid (US). Engineering sites in Orange County (HQ), Denver, Seattle, and San Francisco.

Salary: $165,000 – $220,000 + Equity

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Venture-backed AI startup revolutionizing the future of compensation through a premier real-time compensation intelligence platform.

What you will do

  • Own production software for the web app and backend systems from design to delivery.
  • Implement ML and AI integrations, including the development of a custom agent harness.
  • Collaborate with Product and Design to build new features and optimize workflows.
  • Lead architectural decisions and maintain high standards for clean, scalable code.
  • Influence the technical roadmap and drive rigorous code reviews.
  • Develop data pipelines and enhance user experiences for enterprise compensation teams.

Requirements

  • 5+ years of professional experience shipping production software on a team.
  • Deep proficiency in at least one modern web language/framework and fullstack fluency.
  • Proven track record of end-to-end ownership of complex features.
  • Experience leading technical trade-offs and architectural decisions.
  • Ability to drive projects autonomously through ambiguity from scoping to delivery.
  • Experience mentoring other engineers and raising the bar through code review.

Nice to have

  • Experience at early-stage or high-growth startups.
  • Familiarity with compensation, HR tech, or enterprise SaaS.
  • Experience with data-driven products or complex user workflows.
  • Interest or experience in AI systems or ML infrastructure.

Culture & Benefits

  • Collaborative, curious, and driven team environment.
  • Strong emphasis on transparency, ownership, and continuous learning.
  • Culture that prioritizes in-person work for better collaboration.
  • Competitive base salary and equity offerings.

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