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6 дней назад

AI Engineer

Формат работы
remote (только USA)/onsite
Тип работы
fulltime
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
AI Engineer (TypeScript/Node/LLM): Building production workflow automations and the platform layer that supports operational data for mid-market businesses with an accent on third-party integrations, data modeling, and dependable AI systems. Focus on designing LLM-backed workflows, maintaining production reliability, and translating operational requirements into engineered systems.

Location: Remote across the United States or from the New York City office

Company

hirify.global builds production workflow automations and platform systems for real mid-market operations.

What you will do

  • Design and ship workflow automations for project management, accounting, email, and document-store systems.
  • Build and maintain the platform layer hosting automations and operational data.
  • Own the reliability of production systems used by operations teams.
  • Work directly with the advisory team to turn operational findings into engineered systems.
  • Evaluate useful AI tooling and apply it to client-facing production workflows.

Requirements

  • Strong engineering fundamentals and sound judgment around system reliability.
  • Experience with TypeScript, Node, APIs, third-party integrations, and data modeling.
  • Experience building LLM-backed systems or the ability to develop deep expertise quickly.
  • Ability to communicate with non-technical operators and identify real requirements.
  • Availability to work remotely from the United States or from the New York City office.

Nice to have

  • Exposure to construction, finance, or operations-heavy businesses.
  • Experience with n8n or similar workflow tooling.
  • Experience with Next.js and modern React.

Culture & Benefits

  • Meaningful equity in the company.
  • Direct ownership of systems that reach real users quickly.
  • Short path from decision to production.
  • Close collaboration with the advisory practice and clients.

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