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1 день назад

Head of Engineering (AI)

Формат работы
hybrid
Тип работы
fulltime
Грейд
head
Английский
b2
Страна
Israel
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Head of Engineering (AI): Leading the technical execution and team building for hirify.global Discover, focusing on the transition from SEO to AI Engine Optimization (AEO) with an accent on LLM pipelines and scalable data systems. Focus on building robust AI-powered products, designing event-driven architectures, and cultivating an AI-native engineering culture.

Location: Hybrid in Tel-Aviv

Company

hirify.global is a leader in eCommerce trust and loyalty, leveraging AI-powered Reviews and Loyalty solutions for over 30,000 global brands.

What you will do

  • Own the end-to-end execution of the engineering roadmap and stabilize MVP infrastructure to support multi-brand scale.
  • Provide hands-on technical leadership by writing code, building prototypes, and reviewing PRs.
  • Design and implement scalable systems, including LLM pipelines, data ingestion, and event-driven architectures.
  • Establish the bar for technical excellence by defining coding, testing, and deployment standards.
  • Drive the adoption of agentic workflows and automated internal tools to amplify delivery velocity.

Requirements

  • 5+ years of experience leading engineering teams within fast-paced startup environments.
  • Passionate about coaching developers while maintaining sharp coding and architecture skills.
  • Strong expertise at the intersection of AI, full-stack development, and rapid product experimentation.
  • Ability to translate business KPIs and product goals into clean, scalable technical solutions.

Culture & Benefits

  • "Startup within an enterprise" opportunity providing high autonomy and speed with the resources of a market leader.
  • Clean slate to shape the architecture and choose a modern tool stack.
  • Engineering environment characterized by high standards and high psychological safety.
  • Focus on modern Developer Experience (DevEx) and AI-native workflows.

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