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2 часа назад

Backend Engineer (AI)

Формат работы
hybrid
Тип работы
fulltime
Грейд
middle
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
Backend Engineer (AI): Building reliable, production-grade backend infrastructure and APIs for an AI-native operating system with an accent on distributed systems, enterprise reliability, and developer-facing services. Focus on designing scalable REST, gRPC, and event-driven architectures, optimizing latency and throughput, and operating systems in regulated government and enterprise environments.

Location: San Francisco Bay Area, United States; hybrid work arrangement

Company

hirify.global builds AI-native operating systems for large, regulated institutions, powered by workflow-oriented agents and the proprietary Atlas platform.

What you will do

  • Own backend systems end to end, including architecture, implementation, deployment, and long-term maintenance.
  • Design modular APIs and backend architectures using REST, gRPC, and event-driven patterns for enterprise and government environments.
  • Break down complex problems into technical designs and deliver production-ready systems.
  • Improve latency, throughput, and cost efficiency through profiling and system design.
  • Collaborate with Product, ML, Infrastructure, and customer-facing teams to build reliable and developer-friendly systems.

Requirements

  • 3+ years of experience building production systems.
  • Strong fundamentals in distributed systems, including consistency, availability, failure modes, retries, and idempotency.
  • Deep proficiency in Go, TypeScript, Rust, Python, or a similar language.
  • Experience designing shared infrastructure, internal platforms, or developer-facing services from first principles.
  • Experience owning services with uptime responsibility, observability tooling, incident response, and APIs operated at scale.

Nice to have

  • Experience with AI/ML platforms, inference systems, or data-intensive pipelines.
  • Familiarity with Kubernetes and cloud-native deployment.
  • Exposure to multi-tenant, regulated, or government environments.
  • Experience with real-time or streaming data systems.

Culture & Benefits

  • Work with experienced professionals from Tesla, DeepMind, Databricks, and other leading technology companies.
  • Ownership and career acceleration based on impact rather than tenure.
  • Competitive salary and meaningful equity.
  • Daily lunches and commuter benefits.
  • 401(k), medical, dental, and vision coverage.
  • Unlimited paid time off.

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