Software Engineer (Applied AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
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
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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