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Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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154к-195к CAD/год
170к CAD220к CADмедиана290к CAD
По похожим ролям (49) ~ 220к CAD/год
На СНГ рынке: $5.3к/мес ($4.7к - $6.1к)
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Чётко описанная руководящая роль в быстро развивающемся направлении AI-продукта с практической работой и понятной зоной ответственности; обязательные дни в офисе снижают гибкость.
Офис три дня
AI-продукт
Современный стек
Понятная зона ответственности
Мэтч & Сопровод
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Описание вакансии
Текст:
Hirify AI/Оригинал
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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