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16 дней назад

Engineering Manager (AI)

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

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TL;DR

Engineering Manager (AI): Leading a high-performing fullstack team to build and scale AI-powered legal product platforms with an accent on system architecture, enterprise-grade security, and user-facing feature delivery. Focus on designing complex agentic workflows, optimizing large-scale data retrieval, and fostering a culture of technical excellence and ownership.

Location: Must be based in or able to relocate to Toronto, Canada. This role requires a hybrid work model with 3+ days per week in-office.

Company

hirify.global is an AI-powered platform transforming legal and professional services through frontier agentic AI and enterprise-grade infrastructure.

What you will do

  • Manage and grow a high-performing fullstack engineering team while driving end-to-end product delivery.
  • Set technical direction for AI-powered systems, including document retrieval, planning agents, and LLM evaluation.
  • Translate product vision into scalable architecture, balancing speed, quality, and long-term maintainability.
  • Contribute hands-on to design, code, and architecture reviews to unblock the team and solve complex problems.
  • Partner with Product, Design, and AI teams to ship intuitive, high-quality user experiences.
  • Establish an engineering culture centered on simplicity, craftsmanship, and continuous improvement.

Requirements

  • 6+ years of experience as a product-focused fullstack or backend software engineer.
  • 2+ years of experience leading engineers with ownership over delivery and team health.
  • Proven ability to design and operate backend platforms supporting multiple product lines at scale.
  • Strong proficiency in modern frontend frameworks like React or backend systems like Python, Node, or Go.
  • Strong computer science fundamentals and programming skills.
  • Must be based in Toronto or willing to relocate with provided assistance.

Nice to have

  • Experience with AI-powered applications or LLM evaluation.
  • Background in large-scale data systems or complex internal platforms.

Culture & Benefits

  • Opportunity to be a founding member of the Toronto engineering team.
  • Structured hybrid work arrangement with 3 days in-office and 2 days remote.
  • Relocation assistance provided for new employees.
  • High-growth environment with significant personal and professional development opportunities.

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