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6 дней назад

Staff Software Engineer (AI)

190 000 - 261 250$
Формат работы
onsite
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify RU Global, списка компаний с восточно-европейскими корнями
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Описание вакансии

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TL;DR

Staff Software Engineer (AI): Designing and building intelligent, AI-powered systems to enhance customer support and scale operations with an accent on architectural ownership, automation, and agentic workflows. Focus on evolving human-in-the-loop systems to full automation, implementing observability, transparency, and rollback mechanisms for AI-driven decisions.

Location: Onsite in Mountain View, California or San Francisco, California, USA

Salary: $190,000–$261,250 USD

Company

hirify.global is a product company that builds and operates the world’s best data and AI infrastructure platform, enabling organizations to turn deep data insights into business impact.

What you will do

  • Own the technical vision and architecture for hirify.global’ Support Automation and Tooling ecosystem.
  • Lead hands-on development of automation to improve customer experience and Support scalability.
  • Drive rapid, iterative development while upholding quality, safety, and reliability standards.
  • Design agentic workflows that evolve from human-in-the-loop to fully automated systems.
  • Implement observability, transparency, and rollback mechanisms for AI-driven decisions.
  • Act as the primary technical interface between Support, Product, and Platform Engineering to align technical roadmaps and unblock dependencies.

Requirements

  • BS or higher degree in Computer Science or a related field.
  • Technical leadership experience in large projects including automation tooling, distributed systems, and APIs.
  • Extensive full stack development experience.
  • Proven success designing and deploying production-grade automation in complex technical environments.
  • Hands-on experience with ML-assisted systems, decision support, or agentic automation.
  • Deep familiarity with distributed data platforms, developer tooling, and large-scale infrastructure systems.
  • Understanding of multi-cloud environments (AWS, Azure, GCP), compliance, and security constraints.

Culture & Benefits

  • Committed to enabling data teams to solve the world’s toughest problems.
  • Comprehensive benefits and perks provided to meet employee needs.
  • Committed to fostering a diverse and inclusive culture where everyone can excel.
  • Hiring practices are inclusive and meet equal employment opportunity standards.

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