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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
Очень мало
154к-195к CAD/год
310к CAD340к CADмедиана400к CAD
По похожим ролям (49) ~ 340к CAD/год
На СНГ рынке: $5.3к/мес ($4.7к - $6.1к)
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Чётко очерченная руководящая роль в продукте разговорного ИИ с практической работой и современными инструментами; обязательное присутствие в офисе Торонто может ограничить гибкость.
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Ниже рынкаПродукт в сфере ИИСовременный стекПонятная зона ответственностиОфис три дня в неделю
Оценка от Hirify AI
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Описание вакансии
Текст:
Hirify AI/Оригинал
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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