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7 дней назад

Support Engineer (AI)

Формат работы
remote (только USA)
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
Support Engineer (AI) (AI-powered enterprise applications): Investigating and resolving technical issues for enterprise customers using logs, APIs, integrations, and system behavior analysis with an accent on independent troubleshooting and AI-assisted investigations. Focus on reproducing complex issues, identifying root causes, documenting solutions, and translating customer feedback into product improvements.

Location: Remote within the United States; the role is associated with New York, New York.

Company

hirify.global is an AI-first startup helping large enterprises deploy LLM-powered applications and AI systems.

What you will do

  • Investigate and resolve technical issues reported by enterprise customers from triage through resolution.
  • Analyze logs, reproduce issues, and identify root causes before escalating to Engineering.
  • Use AI tools to investigate system behavior, understand unfamiliar product areas, and document findings.
  • Communicate clearly with customers, Product, Engineering, and internal teams throughout the support process.
  • Document recurring issues and solutions, contribute to knowledge bases and playbooks, and share customer feedback with Product.

Requirements

  • 4+ years of experience in technical support, support engineering, QA, solutions engineering, or a similar hands-on technical role.
  • Strong troubleshooting skills and the ability to investigate complex technical issues independently.
  • Understanding of web applications, APIs, integrations, logs, and basic system behavior.
  • Hands-on experience with AI tools such as ChatGPT, Claude, or Copilot.
  • Excellent written and spoken English required.
  • Customer-first mindset, strong ownership, follow-through, and adaptability across varied products and customer contexts.

Culture & Benefits

  • Exposure to complex enterprise environments and AI products.
  • Fast product cycles with direct ownership and impact.
  • Close collaboration with customers, Product, and Engineering.
  • Opportunity to learn how large-scale AI systems are deployed in real-world environments.

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