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Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
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154к-205к CAD/год
160к CAD210к CADмедиана300к CAD
По похожим ролям (48) ~ 210к CAD/год
На СНГ рынке: $5к/мес ($4.3к - $6.1к)
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Крутая вакансия
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Чётко описанная руководящая роль сочетает практическую разработку, управление командой и работу над AI-продуктом с агентными сценариями на современном стеке.
?Широкая роль
Современный стек
Работа с AI
?Офис три дня
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
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Описание вакансии
Текст:
Hirify AI/Оригинал
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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