Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Это влиятельная Staff-роль в быстрорастущем AI-продукте, но работа сразу с разными командами и широким стеком делают повседневные задачи менее предсказуемыми.
?Широкая зона ответственности
Современный стек
Рост в AI
?Проверка AI-навыков
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Staff Engineer, Engineering-wide (AI): Rotating across product, platform, and infrastructure teams to solve high-leverage engineering problems across devices, services, and LLM pipelines with an accent on distributed systems, cross-team architecture, and production AI features. Focus on designing shared APIs and data contracts, improving reliability and engineering practices, and shipping retrieval, prompt, and evaluation systems while mentoring senior engineers.
Location: Hybrid in San Francisco, CA, with Palo Alto, CA as another location; United States
Company
hirify.global is a San Francisco-based AI company building intelligence interfaces and infrastructure that capture, structure, and use information from conversations. Its products serve more than 3,000,000 users worldwide, with a focus on AI productivity, data security, and privacy.
What you will do
Rotate across product, platform, and infrastructure teams to solve their highest-leverage engineering problems.
Ship production code and resolve migrations, reliability issues, on-call problems, CI performance issues, and AI quality gaps.
Lead cross-team technical designs covering shared APIs, data contracts, and product-platform handoffs.
Improve testing, observability, runbooks, code review, and evaluation practices in CI/CD.
Guide architecture across the device, capture, transcription, AI notes, AI agent, and underlying service stack.
Mentor senior engineers in the US and Asia and drive AI-assisted engineering practices.
Requirements
10+ years of software engineering experience, including 3+ years at Staff level or equivalent scope.
Deep expertise in more than one area, such as backend distributed systems, mobile or client development, data pipelines, or ML/LLM systems, with the ability to ramp up on unfamiliar code.
Experience leading cross-team technical work, including design documents and migrations adopted by other engineers.
Strong Go or Python skills plus at least one client stack: iOS, Android, React, or Electron.
Cloud-native experience with AWS or GCP and Kubernetes.
Experience shipping production LLM features, including retrieval, prompt pipelines, evaluations, and latency and cost management.
Excellent written communication and comfort working across time zones and cultures.
Low ego, high ownership, and a willingness to support team success.
Regular use of AI tools in daily work, with the ability to demonstrate usage from the last two weeks during the interview.
Nice to have
Recognized technical influence through open-source contributions, highly starred GitHub repositories, conference talks, or technical publications.
Culture & Benefits
Full-time role in a fast-moving, product-driven environment focused on craftsmanship, ownership, collaboration, and velocity.
Employee Stock Ownership Plan providing a stake in hirify.global’s long-term success.
Access to AI tools including Gemini, Claude Code, and other frontier AI systems.
Choice of high-spec laptops, workstation setups, and hirify.global devices.
Annual company offsites and team events, with opportunities for continuous learning and career development.
Hiring process
During the interview, demonstrate AI-tool usage from the last two weeks.
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