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2 часа назад

Product Engineer (AI)

300 000 - 320 000$
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

Product Engineer (AI): Building and optimizing computer-use and browser-control product surfaces with an accent on agent runtimes and full-stack delivery. Focus on resolving reliability issues in agent harnesses and translating user pain points into shippable features for knowledge workers.

Location: Hybrid (San Francisco, CA or Seattle, WA). Must be in one of the offices at least 25% of the time.

Salary: $300,000 - $320,000 USD

Company

hirify.global is a public benefit corporation focused on creating reliable, interpretable, and steerable AI systems.

What you will do

  • Own end-to-end delivery of computer-use and browser-control product surfaces, from scoping to iteration.
  • Diagnose and resolve reliability and robustness issues in the computer-use agent harness.
  • Collaborate directly with researchers to bridge the loop between the model and the end-user product.
  • Instrument products and leverage usage data to drive prioritization and measure success.
  • Translate fuzzy user pain points into concrete, shippable features for knowledge workers.

Requirements

  • Experience building and shipping a product from zero to one with full end-to-end ownership.
  • Strong full-stack engineering skills, including production web frontend and backend development.
  • Hands-on experience building with LLM APIs, prompting, or agent frameworks.
  • Proven track record of shipping to external users and iterating based on feedback.
  • Must be based in or able to work from San Francisco, CA or Seattle, WA (Hybrid).

Nice to have

  • Strong product design instincts to produce clean interfaces without a dedicated designer.
  • Experience with browser automation, desktop automation, or RPA systems.
  • Experience building evals or quality harnesses for machine learning systems.
  • Comfort with lightweight data analysis using SQL and notebooks.
  • Experience designing agent loops, tool integrations, or guardrails for LLM systems.

Culture & Benefits

  • Collaborative "big science" environment focused on high-impact AI research.
  • Competitive compensation with optional equity donation matching.
  • Generous vacation and parental leave.
  • Flexible working hours and high-quality office spaces.
  • Visa sponsorship is available for eligible candidates.

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