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3 дня назад

Full-Stack Product Engineer (AI)

200 000 - 300 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
middle/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
Full-Stack Product Engineer (AI) (LLMs/agents): Building a product that helps engineers understand why production agents fail and determine whether fixes work, with an accent on end-to-end ownership across data systems, backend, and UI. Focus on talking to customers, defining product problems, designing and shipping 0→1 solutions, and observing and iterating on agent behavior.

Location: San Francisco, California, United States; on-site five days per week

Salary: $200K–$300K plus equity

Company

hirify.global is recruiting for a client seeking a product-focused full-stack engineer with expertise in LLMs and agents.

What you will do

  • Build a product that helps engineers understand why production agents fail and whether fixes are effective.
  • Own the full product lifecycle, from customer conversations and problem identification through product design, implementation, shipping, and iteration.
  • Develop systems across the data layer, backend, and user interface.
  • Observe agent behavior and use production feedback to improve the product.
  • Interact directly with customers, with approximately 30% of the role being customer-facing.

Requirements

  • 3–7 years of full-stack engineering experience and strong production engineering skills.
  • Hands-on LLM or agent experience, or demonstrable ability to ramp up quickly in this area.
  • Experience owning systems from the data layer through backend and UI.
  • Strong technical problem-solving, product judgment, communication, and comfort with ambiguity.
  • Ability to define what to build without waiting for detailed specifications.
  • Must be based in San Francisco or willing to relocate and work in the office five days per week.

Nice to have

  • Agent evaluations, observability, or agent behavior monitoring experience.
  • FDE or solutions engineering experience with strong coding ability.
  • Founder, early-startup, research, AI product, or coding competition background.
  • Strong infrastructure or backend experience.

Culture & Benefits

  • High-agency environment with end-to-end ownership.
  • Direct customer interaction and close connection between customer problems and product development.
  • Compensation includes equity in addition to salary.

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