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17 часов назад

AI Solutions Engineer (AI)

110 000 - 150 000$
Формат работы
onsite
Тип работы
fulltime
Грейд
middle
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
AI Solutions Engineer (AI): Owning end-to-end deployments of agentic AI systems for mid-market and large-cap operators with an accent on translating business problems into scalable AI solutions. Focus on building data models, optimizing workflows, and collaborating with engineering to drive measurable business outcomes.

Location: On-site in New York, NY

Salary: $110,000–$150,000 USD annually

Company

hirify.global is an early-stage, high-growth company building agentic AI systems for mid-market and large-cap operators.

What you will do

  • Own customer deployments from scoping through delivery and ongoing optimization.
  • Serve as the primary point of contact for customers to unblock work and ensure business value.
  • Translate ambiguous business problems into structured data models, workflows, and agentic AI systems.
  • Build and extend the agentic AI platform in collaboration with the engineering team.
  • Support go-to-market efforts by participating in sales calls and identifying expansion opportunities.

Requirements

  • US citizenship required; visa sponsorship is not available.
  • 3+ years of professional experience in consulting, finance, or internal operations.
  • Proficiency in Python and SQL with hands-on experience building with AI tools and LLM APIs.
  • Strong background in data analytics, data modeling, and data warehousing concepts.
  • Experience with data pipelines, ETL processes, and system integrations.
  • Strong communication skills and business intuition for engaging with executives.

Nice to have

  • Exposure to private equity, roll-ups, or M&A environments.

Culture & Benefits

  • Meaningful equity in a high-growth startup.
  • High-autonomy role with direct reporting to the C-suite.
  • Opportunity to work at the intersection of customer success and product engineering.

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