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2 месяца назад

Full Stack Engineer (AI)

180 000 - 220 000$
Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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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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