Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Это чётко очерченная руководящая роль с реальным внедрением AI и ответственностью за медицинские продукты, но требования к личному опыту с AI необычно конкретны.
Высокая планка
Современный стек
AI в реальных продуктах
Влияние на медицину
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Director of Engineering (AI): Leading architecture, delivery, people, and AI-native engineering for digital products serving post-acute healthcare businesses with an accent on HIPAA-grade engineering, platform reliability, and AI-assisted development. Focus on building trustworthy AI coding harnesses, operating multi-service cloud systems, developing engineering talent, and safely shipping predictive models and LLM features into clinical workflows.
Location: Remote in the Western US, aligned with Central, Mountain, or Pacific time zones; travel of approximately 10–15% to Service Centers and field operations.
Company
hirify.global supports independently operated healthcare companies through a Service Center model providing IT, HR, clinical, legal, and compliance expertise.
What you will do
Lead the technical direction of digital products, including service boundaries, data models, integration patterns, and platform roadmaps.
Establish build, buy, and defer decisions; operate reliable platforms with observability, on-call processes, incident response, and cost management.
Make AI coding agents the default across design, implementation, testing, and review, and build evaluation suites, test-generation systems, CI gates, and review standards.
Partner with Data Science to ship predictive models and LLM features safely into clinical workflows.
Lead, mentor, recruit, and retain engineers while improving output through tooling and automation.
Represent Application Development with clinical, operations, finance, IT, Product, Data, and Infrastructure stakeholders.
Requirements
8+ years of software engineering experience, including 3+ years managing engineers through 1:1s, performance reviews, hiring, and difficult staffing decisions.
Experience leading engineering at a startup or growth-stage company through AI-assisted development adoption, with measurable results in cycle time, release frequency, defect rate, or output at flat headcount.
Personally built and shipped production software with AI coding agents such as Claude Code, Cursor, Codex, or equivalent within the past 6 months.
Experience designing and operating a multi-service, cloud-hosted system with a production data layer and third-party integrations.
Eligible for an annual bonus and equity; compensation varies by experience and location.
Equal opportunity employment with reasonable accommodations available throughout the application and employment process.
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