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9 дней назад

Senior Frontend Engineer (AI)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US/Canada
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Senior Frontend Engineer (AI): Building and scaling the Cerebras Developer Console and the backend services supporting billing, usage tracking, quotas, request logs, and metrics with an accent on Next.js, TypeScript, GraphQL, Postgres, Redis, and high-scale data systems. Focus on making architectural decisions, balancing real-time and batch processing, improving observability and reliability, and leading end-to-end delivery across the stack.

Location: Hybrid in Sunnyvale, California, or Toronto, Canada

Company

hirify.global builds large-scale AI hardware and infrastructure for high-speed model training and inference.

What you will do

  • Own major areas of the Developer Console, including billing, usage tracking, quotas, request logs, or metrics.
  • Build and evolve frontend interfaces, APIs, backend services, and data systems for growing customer usage.
  • Define system boundaries, data models, and tradeoffs between real-time and batch processing, performance, and cost.
  • Drive ambiguous projects from initial definition through production and scale.
  • Lead technical execution, design reviews, and collaboration across engineering, product, and design.
  • Improve system reliability, observability, debuggability, and production readiness.

Requirements

  • Senior-level experience owning and delivering complex production systems end to end.
  • Strong backend fundamentals in APIs, data modeling, and distributed systems.
  • Full-stack capability with experience in Next.js, TypeScript, GraphQL, Postgres, and Redis.
  • Strong architectural judgment, practical decision-making, and the ability to work independently in ambiguous environments.
  • Experience mentoring engineers, leading design reviews, and raising engineering quality standards.
  • Typically 8+ years of industry experience and a bachelor’s or master’s degree in computer science, or equivalent practical experience.

Culture & Benefits

  • Work on AI platform infrastructure used for real-world production workloads.
  • Own meaningful systems spanning developer experience, distributed systems, and real-time data.
  • Join a small, high-performing team with fast decision-making and low bureaucracy.
  • Contribute to cutting-edge AI research, open-source work, and large-scale AI computing systems.
  • Work in a non-corporate environment focused on individual impact, learning, growth, and inclusion.

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