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3 дня назад

Engineering Tech Lead (AI)

Формат работы
onsite
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
Israel
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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TL;DR

Engineering Tech Lead (AI): Designing and delivering scalable LLM-powered applications for Fortune 500 enterprises with an accent on distributed architectures and enterprise-grade reliability. Focus on leading technical strategy, driving architecture decisions, and bridging the gap between complex engineering and executive customer requirements.

Location: Onsite in Tel Aviv, Israel

Company

AI-first startup building LLM-powered applications to help the world's largest enterprises move from idea to production in days.

What you will do

  • Lead architecture and technical direction for strategic enterprise AI initiatives.
  • Design and deliver scalable AI-powered solutions for Fortune 500 companies.
  • Collaborate cross-functionally with Platform, Product, and Engineering teams.
  • Remain deeply hands-on with code while driving high-level system design decisions.
  • Consult with customer executives to solve production challenges and build technical trust.
  • Influence engineering standards, architecture practices, and long-term technical direction.

Requirements

  • 7+ years of software engineering experience.
  • Strong hands-on experience with Node.js, TypeScript, and modern frontend frameworks.
  • Deep experience designing scalable production systems and distributed architectures.
  • Proven track record of building AI/LLM-powered products or platforms.
  • Experience working with enterprise customers or large-scale deployments.
  • Must be based in and work onsite from the Tel Aviv office.

Culture & Benefits

  • Opportunity to work directly with founders and senior engineering leadership.
  • High-impact role shaping both the product and the company's technical direction.
  • Fast-paced, high-ownership environment where execution speed is prioritized.
  • Exposure to the world's largest organizations and complex production challenges.

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