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3 дня назад

Software 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

Текст:
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TL;DR
Software Engineer (AI/Backend): Building distributed systems for high-throughput data review and annotation pipelines that power machine learning feedback loops, with an accent on performance, reliability, security, and observability. Focus on designing clean APIs, implementing secure and auditable workflows, and translating cross-functional requirements into resilient backend systems for road-safety applications.

Location: San Carlos, United States; hybrid

Company

hirify.global develops solar-powered, AI-assisted cameras and software systems for automated traffic-law enforcement and safer streets.

What you will do

  • Design and build distributed systems for high-throughput data review and annotation pipelines.
  • Develop backend systems that remain performant and reliable under real-world load.
  • Implement fine-grained access control, secure data handling, and auditable workflows.
  • Translate product, ML, and operations requirements into clean APIs and backend abstractions.
  • Collaborate across product, ML, and operations to improve efficiency and machine-learning feedback loops.
  • Participate in design reviews, architectural decisions, code reviews, and development of tested, maintainable software.

Requirements

  • 3–5 years of backend engineering experience.
  • Experience building and maintaining production distributed systems.
  • Operational experience with observability, alerting, and failure recovery.
  • Working knowledge of security principles, including least privilege and secure transport and storage.
  • Ability to turn well-scoped requirements into solid designs and interfaces while clarifying ambiguity.
  • Collaborative approach to feedback and close teamwork.

Nice to have

  • Familiarity with human-in-the-loop systems, labeling tools, or ML data pipelines.
  • Experience in a fast-paced startup environment.

Culture & Benefits

  • Work on backend systems that support road safety at scale.
  • Build high-throughput pipelines at the core of the ML feedback loop.
  • Join a small, experienced team with close collaboration with senior engineers.
  • Meaningful ownership in a fast-moving startup environment.
  • Competitive compensation and early-stage equity.

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