Назад
3 дня назад

Staff Software Engineer, Education (AI)

320 000 - 405 000$
Формат работы
hybrid
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

Текст:
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TL;DR
Staff Software Engineer, Education (AI) (Full Stack/AI Education): Building Anthropic’s enterprise-ready education platform for adaptive content delivery, assessment, credentialing, and learner progress at scale with an accent on backend systems, AI-augmented pipelines, and reliable infrastructure. Focus on designing AI-native learning experiences, integrating authentication and enterprise systems, and enabling educators to configure educational products without engineering bottlenecks.

Location: San Francisco, CA or New York City, NY; hybrid policy requiring staff to work from an office at least 25% of the time

Annual salary: $320,000–$405,000 USD

Company

Anthropic is a public benefit corporation building reliable, interpretable, and steerable AI systems intended to be safe and beneficial.

What you will do

  • Architect and own an enterprise-ready education platform covering authentication, SSO, learner data, content delivery, credentialing, and progress tracking.
  • Define the technical vision for AI-driven educational experiences and make product-level platform decisions.
  • Build AI-augmented pipelines for content generation, real-time adaptation, assessments, and quality assurance.
  • Design adaptive learning paths, competency-based progression, and AI-evaluated demonstrations of skill.
  • Integrate education systems with security, infrastructure, and data architecture standards.
  • Create platform abstractions that let educators and other non-engineers configure and extend learning experiences.

Requirements

  • 7+ years of software engineering experience and a track record of taking platforms from zero to production at scale.
  • Strong full-stack skills, particularly in backend systems, databases, APIs, authentication, reliability, and infrastructure.
  • Experience operating platforms that reliably serve many concurrent users.
  • Ability to translate pedagogical intent into technical architecture and work effectively with ambiguity.
  • Experience collaborating with security and infrastructure teams while maintaining development velocity.
  • Working experience using AI tools in engineering workflows and genuine interest in AI-native education.

Nice to have

  • Experience with learning platforms, credentialing systems, or educational technology products.
  • Background in learning science, instructional design, or educational research.
  • Experience with SAML, OAuth, Open Badges, or LTI integrations.
  • Experience building systems with LLM capabilities as core infrastructure.
  • Experience creating configurable platforms for non-technical users.

Culture & Benefits

  • Collaborative work across research, engineering, policy, and business teams.
  • Flexible working hours and a hybrid office environment.
  • Generous vacation and parental leave.
  • Competitive compensation, benefits, and optional equity donation matching.
  • Visa sponsorship may be available, with immigration lawyer support, depending on the role and candidate.

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