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5 дней назад

Engineering Manager (Conversational AI)

154 000 - 195 000CAD
Формат работы
hybrid
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

Текст:
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TL;DR
Engineering Manager (Conversational AI): Leading the team building Alfie, a conversational AI assistant, across LLM-based services, APIs, data models, and user-facing conversational interfaces with an accent on agentic systems, AI-native development, and scalable SaaS architecture. Focus on shipping customer-facing AI features, designing tool-calling contracts and evaluations, mentoring engineers, and maintaining quality and observability while collaborating from the Toronto office three days per week.

Location: Hybrid in Toronto, Ontario, Canada, with in-person collaboration required Monday–Wednesday

Salary: CA$154,000–CA$195,000 base pay, plus equity

Company

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

What you will do

  • Lead the Conversational AI engineering team building Alfie, a conversational AI assistant.
  • Build, review, and ship features alongside engineers using AI tools and LLM-based development workflows.
  • Own priorities, delivery, quality, and roadmap execution in partnership with product management, data teams, and the AI Architect.
  • Guide development of APIs, data models, microservices, conversational interfaces, and scalable architecture using React, TypeScript, and AWS.
  • Recruit, mentor, and grow engineers while establishing AI-augmented ways of working.
  • Maintain observability, stability, and rigorous quality standards for experiments and customer-facing features.

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 creating 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.
  • Proven delivery of customer-facing SaaS products focused on metrics-driven growth, conversion, and user experience.
  • Ability to communicate complex technical and AI-related trade-offs as actionable plans for leadership and cross-functional partners.

Culture & Benefits

  • Hybrid collaboration in the Toronto office Monday–Wednesday.
  • Flexible time off.
  • Parental leave.
  • Health and dental insurance where applicable.
  • Retirement savings and an employee incentive plan.
  • Inclusive equal-opportunity workplace focused on diverse perspectives and cross-border collaboration.

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