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10 часов назад

Full Stack Engineer (AI)

Формат работы
onsite
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

Текст:
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TL;DR
Full Stack Engineer (AI): Building enterprise AI infrastructure that gives AI agents reliable, governed, real-time context over complex business data with an accent on full-stack product surfaces, intuitive APIs, and real-time data models. Focus on designing distributed-system interfaces, shipping and monitoring frontend and backend services, and independently owning architecture and production fixes.

Location: On-site in San Mateo, California, United States

Company

hirify.global is building enterprise AI infrastructure that gives AI agents reliable, governed, real-time context over complex business data.

What you will do

  • Own complete product surfaces across user interfaces, APIs, and underlying data models.
  • Build interfaces and APIs that make complex distributed-system behavior understandable and fast.
  • Spend approximately 60% of the time on frontend and API work and 40% on backend services.
  • Define architecture, ship features to production, monitor system behavior, and resolve production issues.
  • Make product and design decisions independently in an environment without detailed specifications.

Requirements

  • 5+ years of experience building and shipping production full-stack applications.
  • Strong full-stack capability, including distributed systems and polished user interfaces.
  • Proficiency with React, Vue, or an equivalent modern frontend framework.
  • Backend development experience with Python, Go, Node, Java, or an equivalent technology.
  • Experience designing APIs and data models for systems requiring real-time performance.
  • Strong architectural judgment, ownership, and comfort working with ambiguity.

Nice to have

  • Experience with knowledge graphs, semantic systems, or graph databases.
  • Experience with distributed systems, real-time inference, or agent-based systems.
  • Experience building developer-facing or infrastructure products.
  • Experience with enterprise data integration.

Culture & Benefits

  • Work as part of a small, senior engineering team.
  • Visa sponsorship is available.
  • Take independent ownership of product, architecture, and design decisions.

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