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2 дня назад

Engineering Manager, Conversational AI

154 000 - 205 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 (LLM/Agentic Systems): Leading the development of Alfie, a conversational AI assistant, across APIs, data models, backend services, and user-facing conversational interfaces with an accent on hands-on engineering leadership, agentic workflows, and AI-native delivery. Focus on designing tool-calling contracts, evaluating multi-step agent behavior, scaling TypeScript or Python services on AWS and Kubernetes, and maintaining product quality while growing the engineering team.

Location: Toronto, Ontario, Canada; hybrid, with in-person collaboration in the Toronto office Monday–Wednesday

Salary: CA$154K–CA$205K annually, 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 developing Alfie, a conversational AI assistant.
  • Build, review, and ship APIs, data models, services, and conversational interfaces alongside the team.
  • Help redesign planning, development, review, and delivery around AI-native workflows using Claude Code and other LLM harnesses.
  • Partner with product management, data teams, and the AI Architect to turn product goals and technical direction into an executable roadmap.
  • Ensure scalable architecture using React, TypeScript, and AWS while maintaining observability, stability, and rigorous quality standards.
  • Recruit, mentor, and develop engineers through human-led and AI-augmented practices.

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 delivering customer-facing SaaS products with metrics-driven growth, conversion, and user experience focus.
  • Ability to communicate complex technical and AI-related trade-offs as actionable plans for leadership and cross-functional partners.

Culture & Benefits

  • Hybrid in-person collaboration is expected in the Toronto office Monday–Wednesday.
  • Flexible time off.
  • Parental leave.
  • Health and dental insurance where applicable.
  • Retirement savings and an employee incentive plan.
  • Equal opportunity employment and an inclusive workplace.

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