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Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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У роли понятная зона ответственности и сильный фокус на локальном ИИ, но неуказанная зарплата и ограничение удалённой работы Швейцарией оставляют важные условия неясными.
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Зарплата не указанаУдалёнка только из ШвейцарииПонятная зона ответственностиАктуальные технологииИИ-продукт
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Текст:
Hirify AI/Оригинал
TL;DR
Product Engineering Lead (QVAC) (100% remote) (AI/on-device): Leading engineering teams building a privacy-preserving, locally running AI assistant and its app experience with an accent on consumer product delivery, on-device constraints, and reliable APIs. Focus on translating product direction into features, balancing model size, latency, memory, and battery limitations, and mentoring engineering leads.
Location: Lugano, Ticino, Switzerland; remote
Company
hirify.global builds digital finance, blockchain, energy, data, education, and AI-related products, including reserve-backed digital tokens and peer-to-peer technology.
What you will do
Lead app and feature engineering teams building QV.AC, a local, on-device AI assistant.
Set engineering standards for performance, reliability, clean APIs, and feature design.
Own the API surface between the AI core and the application and coordinate with AI research and deep technology teams.
Partner with product managers to scope roadmap work, challenge unrealistic assumptions, and validate ideas through prototypes and AI tools.
Set team goals, mentor engineering leads, and improve team operating systems.
Requirements
Experience managing engineers or engineering leads who ship consumer products, ideally AI-powered applications.
Strong product sense and the ability to distinguish valuable features from unnecessary scope.
Understanding of applied AI and on-device constraints, including model size, latency, memory, battery usage, and inference reliability.
Heavy use of AI tools in day-to-day work and willingness to experiment with new models and capabilities.
Deep JavaScript and React experience.
Initiative, curiosity, resilience, and the ability to give and receive direct critique; excellent English communication skills.
Nice to have
Experience with local or on-device inference, LLM evaluations, cross-platform mobile and desktop applications, or open source.
Culture & Benefits
Remote collaboration with a globally distributed team.
Work on privacy-preserving AI and digital finance products.
Lean, fast-moving environment with direct collaboration across product, engineering, AI research, and deep technology teams.
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