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2 часа назад

Engineering Manager (Conversational AI)

154 000 - 195 000CAD
Формат работы
hybrid
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
US/Canada
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Engineering Manager (Conversational AI): Leading the development of Alfie, a conversational AI assistant, with an accent on LLM-based products, agentic workflows, and AI-native engineering practices. Focus on building APIs, data models, and services, shaping user-facing conversational behavior, and mentoring engineers while delivering scalable SaaS features with React, TypeScript, and AWS.

Location: Hybrid; Palo Alto, California, United States, with on-site collaboration in the Toronto office Monday–Wednesday.

Compensation: CA$154K–CA$195K plus equity.

Company

hirify.global provides an AI-powered global work platform for hiring, paying, and managing employees in 185+ countries.

What you will do

  • Lead and contribute hands-on to the Conversational AI engineering team building Alfie, hirify.global’s conversational AI assistant.
  • Build, review, and ship APIs, data models, microservices, and conversational interfaces for an LLM-based product.
  • Use Claude Code and other LLM harnesses to improve planning, development, review, experimentation, and delivery.
  • Partner with product management, data teams, and the AI Architect to turn product goals and technical direction into an executable roadmap.
  • Recruit, mentor, and develop engineers while maintaining high standards for observability, stability, and product quality.
  • Collaborate in person in the Toronto office Monday–Wednesday to support team cohesion and cross-functional problem solving.

Requirements

  • 3+ years of formal engineering management experience leading a team of engineers.
  • Experience changing team practices through AI tooling, including the ability to explain which previous practices were removed and why.
  • Ability to operate backend microservices in TypeScript or Python with Postgres and AWS, deployed on Kubernetes.
  • Experience designing clean contracts and APIs that support agentic workflows.
  • Hands-on experience with LLM-based and agentic systems, including prompt design, tool or function calling, multi-step agent reasoning, and evaluation.
  • Experience shaping both assistant behavior and how that behavior is presented to users.
  • Track record of delivering customer-facing SaaS products focused on metrics-driven growth, conversion, and user experience.
  • Ability to explain complex technical and AI-related trade-offs through actionable plans for leadership and cross-functional partners.

Nice to have

  • No separate optional qualifications were specified.

Culture & Benefits

  • Flexible time off.
  • Parental leave.
  • Health and dental insurance where applicable.
  • Retirement savings and an employee incentive plan.
  • Collaborative in-person work in the Toronto office Monday–Wednesday.

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