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3 дня назад

Backend System Architect (AI)

Формат работы
onsite
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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TL;DR
Backend System Architect (AI): Building reliable backend services, APIs, data systems, and AI-powered workflows for Coframe’s adaptive interface platform with an accent on distributed systems, high-volume event processing, and production reliability. Focus on designing scalable architectures, improving observability and performance, and solving ambiguous technical problems from initial architecture through ongoing operation.

Location: San Francisco office; in-person work five days per week

Company

hirify.global is building a platform for user and agent interfaces that adapt, evolve, and personalize themselves, combining software infrastructure with AI-powered workflows.

What you will do

  • Design, build, and operate reliable backend services and APIs.
  • Own technical projects from initial architecture through production deployment and ongoing operation.
  • Build systems that process high volumes of events, experiments, and customer data.
  • Improve platform interoperability, reliability, performance, observability, and scalability.
  • Make architectural decisions that balance speed, simplicity, and long-term maintainability.
  • Collaborate with product, customer-facing, and applied AI teams to create reusable platform capabilities and establish engineering standards.

Requirements

  • 3+ years of experience building and operating backend systems in production.
  • Strong software engineering fundamentals and experience designing distributed or data-intensive systems.
  • Proficiency in Python or another modern backend language.
  • Experience building APIs, services, databases, and asynchronous workflows.
  • Ownership of meaningful technical projects from conception through production.
  • Strong judgment in system design, reliability, technical tradeoffs, communication, and collaboration.

Nice to have

  • Experience at an early-stage or high-growth startup.
  • Familiarity with AWS, Kubernetes, Docker, Kafka, and Postgres.
  • Familiarity with evaluation systems, observability, orchestration, or distributed task execution.
  • Experience with systems where correctness, latency, and reliability directly affect customer experience.

Culture & Benefits

  • Small, talent-dense engineering team with significant influence over architecture, engineering practices, and product direction.
  • Close collaboration with founders, product engineers, and applied AI researchers.
  • Flexible unlimited paid time off.
  • Medical, dental, vision, life insurance, and disability benefits for employees and families.
  • 401k plan with company match, covered in-office meals, and gym membership.

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