Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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$180к-220к/год
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Крутая вакансия
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Перспективная роль в хайповом AI-домене с поддержкой топовых венчурных фондов, современным стеком и рыночной оплатой.
?Средняя зарплата
Трендовый домен
Современный стек
Потенциал роста
Понятные задачи
Мэтч & Сопровод
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Full Stack Engineer (AI): Building and maintaining complex consumer-facing applications and internal tooling for intelligent technology products with an accent on secure, optimized user experiences, modern frontend frameworks, and server-side development. Focus on designing microservice architectures and API models, leading initiatives, and building ML training and inference pipelines.
Location: United States - Remote; remote and in-person collaboration with hubs in Austin, NYC, and the Bay Area.
Salary: $180,000–$220,000 USD annually; full compensation depends on experience and certifications.
Company
hirify.global is an early-stage company founded in 2022 that develops empowering, trustworthy, and useful applications based on automation, AI, ML, and knowledge graphs.
What you will do
Architect, implement, and maintain critical components of user-facing applications.
Design and build internal tooling that accelerates existing and new initiatives.
Improve UX by implementing secure, optimized, responsive, and visually appealing applications.
Collaborate with designers, researchers, engineers, and other stakeholders.
Monitor emerging technologies and industry trends to improve the technology stack.
Requirements
5+ years of experience as a full-stack engineer.
Proven full-stack engineering expertise and experience creating and maintaining complex consumer-facing products from 0 to 1.
Proficiency in modern frontend technologies and frameworks such as React, Angular, or Vue.js, and in server-side languages such as Python, Go, or Rust.
Experience designing microservice architectures and API models.
Experience leading team initiatives.
Ability to think strategically and align design goals with key objectives and priorities.
Nice to have
Experience with GraphQL.
Strong experience with cloud services and platforms such as AWS, Azure, or Google Cloud.
Experience with Kubernetes.
Experience building training and inference pipelines supporting ML models.
Startup experience.
Culture & Benefits
Remote and in-person collaboration culture.
Early-stage equity.
Comprehensive health insurance.
Generous paid time off.
Collaboration with engineers, designers, researchers, and innovators on consumer use cases for intelligent technologies.
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