Назад
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5 дней назад

Engineering Manager (AI)

188 080 - 207 878CAD
Формат работы
remote (только Canada)
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
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): Building and operating voice, email, chat, and SMS agents for customer-facing homeowner experiences with an accent on reliable agent architectures, LLM development, and production observability. Focus on defining AI strategy, designing orchestration and guardrails, shipping measurable customer-facing capabilities, and leading a small senior engineering team.

Location: 100% remote, open only to candidates currently based in Canada who reside in Canada and are legally authorized to work there

Salary: CAD 188,080–207,878 per year

Company

hirify.global is building a home-equity product that helps homeowners access their wealth and achieve greater financial flexibility.

What you will do

  • Define the AI technical strategy and roadmap for customer experience across voice, email, chat, and SMS agents.
  • Design reliable, production-scale agent architectures covering orchestration, tool use, guardrails, fallback handling, and real-time services.
  • Write code, review pull requests, prototype agent capabilities, and debug production issues.
  • Partner with Product, CX, and Operations to identify and ship AI-enabled workflow improvements.
  • Establish performance metrics, observability, and continuous improvement practices for the AI agent stack.
  • Lead, hire, mentor, and develop a small senior engineering team while maintaining high execution standards.

Requirements

  • 7+ years of software engineering experience building and operating production systems, including at least 2 years leading or managing engineering teams.
  • Experience developing and shipping LLM-powered, conversational AI, or agentic systems in real-world environments.
  • Hands-on experience with prompt engineering, RAG, tool usage, and orchestration frameworks.
  • Strong systems design, technical strategy, architecture, vendor evaluation, and build-versus-buy decision-making skills.
  • Experience delivering customer-facing products end-to-end, including deployment, monitoring, and iteration.
  • Must currently reside in Canada and be legally authorized to work in Canada.

Nice to have

  • Experience with telephony, messaging APIs, or chat platforms at scale.
  • Experience with AI/ML evaluation, quality instrumentation, drift detection, and observability.
  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

Culture & Benefits

  • Remote-first work from anywhere in Canada.
  • Virtual collaboration and team gatherings support genuine connection.
  • People-first culture focused on ownership, innovation, and continuous learning.
  • Opportunity to work on applied AI that directly interacts with customers.

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