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4 часа назад

Software Engineer - Backend (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

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TL;DR
Software Engineer - Backend (AI): Building autonomous systems and distributed infrastructure that enable AI agents to generate, test, and deploy production-grade software at global scale with an accent on correctness, reliability, concurrency, and fault tolerance. Focus on designing self-correcting feedback loops, debugging non-deterministic systems, and building real-time execution platforms for millions of applications.

Location: San Francisco, United States

Company

Builds autonomous coding agents that generate, test, and deploy production applications from plain-language intent, serving millions of users and applications at global scale.

What you will do

  • Architect autonomous systems with feedback loops for self-correction, validation, and continuous improvement.
  • Build infrastructure for millions of applications and real-time workloads, addressing latency, concurrency, and reliability.
  • Establish standards for correctness, observability, and fault tolerance across backend, infrastructure, and AI layers.
  • Collaborate with AI/ML, infrastructure, and product teams on systems spanning model interaction layers and distributed execution engines.
  • Debug non-deterministic systems and design for complex, unenumerated edge cases.
  • Mentor engineers and influence technical culture and architecture across teams.

Requirements

  • 8+ years of experience building large-scale backend or distributed systems.
  • Strong proficiency in Python and/or Go.
  • Deep understanding of distributed systems, concurrency, parallelism, and system design under scale and failure.
  • Experience owning architecture for critical production systems.
  • Ability to make system trade-offs, simplify complex systems, and influence engineering direction across teams.

Nice to have

  • Experience with AI/ML infrastructure or LLM-based systems.
  • Familiarity with Kubernetes, Docker, AWS, GCP, Azure, event-driven systems, or data infrastructure.

Culture & Benefits

  • Work on AI systems operating under real-world stress at global scale.
  • Small, high-agency team with direct impact on product and architecture.
  • Flexible working hours.
  • 401(k).
  • Health, dental, and vision insurance.
  • Unlimited paid time off.

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