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Software Engineer, API Multicloud (AI)

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

Текст:
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TL;DR

Software Engineer, API Multicloud (AI): Extending hirify.global’s API platform into strategic cloud environments like AWS with an accent on backend services, cloud-native infrastructure, and developer tools. Focus on building cloud-hosted Codex experiences, designing stateful runtime environments for agentic workloads, and improving system scalability.

Location: San Francisco

Company

hirify.global is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity.

What you will do

  • Build backend and infrastructure systems to extend the API platform into cloud-native environments, such as AWS.
  • Design and ship cloud-contained products that allow customers to keep workloads and data within their own cloud environments.
  • Develop cloud-hosted Codex experiences powered by the hirify.global Responses API.
  • Build infrastructure and runtime abstractions for a stateful, cloud-optimized agentic platform.
  • Collaborate with external cloud partners and internal teams across Research and Safety Systems to productionize emerging capabilities.
  • Optimize the reliability, scalability, and operational maturity of core underpinning services.

Requirements

  • 7+ years of professional engineering experience in tech and product-driven companies.
  • Proficiency in backend languages such as Python, Go, Rust, or TypeScript.
  • Deep understanding of distributed systems concepts.
  • Experience building developer tools, specifically AI-powered tools.
  • Proven track record of production service ownership and working with cloud infrastructure primitives.
  • Ability to navigate ambiguous tasks and manage competing priorities in a fast-growing environment.

Culture & Benefits

  • Opportunity to shape the technical direction of a new and growing engineering organization.
  • Work at the intersection of production ML systems, developer platforms, and large-scale infrastructure.
  • Collaborative environment pushing the boundaries of AI capabilities.
  • Commitment to equal opportunity and diverse perspectives.

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