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Software Engineer (Applied AI)

255 000 - 405 000$
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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Описание вакансии

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TL;DR

Software Engineer (Applied AI): Architecting and building backend systems that enforce data privacy and automate compliance at scale with an accent on integrating privacy-by-design into data and access layers. Focus on collaborating with product, infrastructure, security, and legal teams to ensure compliance and data protection.

Location: San Francisco and Seattle

Salary: $255K – $405K + Offers Equity

Company

hirify.global is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity.

What you will do

  • Design, build, and operate backend services that enforce policy-driven data access, lifecycle controls, and privacy protections.
  • Develop distributed authorization and identity-aware enforcement mechanisms integrated directly into data services and control planes.
  • Implement auditability, policy hooks, and enforcement observability to ensure compliance is continuously verifiable.
  • Partner with Security, Legal, and Compliance to convert privacy requirements into scalable technical designs and developer-friendly APIs.
  • Harden data platforms and backend services through schema-level controls and data handling constraints by default.
  • Collaborate with infrastructure teams to ensure consistent enforcement across systems while minimizing duplicated implementations.

Requirements

  • 5+ years of industry experience building and operating backend or infrastructure systems in production.
  • Strong software engineering fundamentals, with fluency in at least one major programming language (e.g., Python, Go, Rust, C++, Java).
  • Experience with distributed authorization, RBAC/ACL systems, encryption-based access, or policy engines.
  • Familiarity with global privacy regulations and their architectural implications.
  • Ability to influence and collaborate with teams across legal, compliance, product, and engineering.
  • A bias toward practical, impactful solutions that balance privacy protections with product needs.

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