Tech Stack
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
AI @ 4
API @ 6
LLM @ 3
OAuth @ 4
Security @ 4
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
Anthropic is seeking a senior full-stack engineer to build the technical foundation for educating customers and enterprises at scale. The role focuses on creating AI-native educational experiences, including adaptive content delivery, responsive assessments, competency verification, credentialing, and scalable learning infrastructure.
You will own the technical vision and execution for Anthropic’s AI-driven education platform, including platform capabilities, enterprise readiness, data architecture, AI-augmented pipelines, integrations, and delivery systems. You will collaborate with education professionals, trainers, educators, security, infrastructure, data, GTM, and developer relations teams.
Responsibilities
- Architect and own an enterprise-ready education platform and infrastructure covering authentication and SSO, learner data models, content delivery, credentialing, and progress tracking.
- Define the technical vision for AI-driven educational experiences and determine what to build, extend, or replace as requirements evolve.
- Build AI-augmented pipelines for content generation, real-time adaptation, assessment delivery, and quality assurance.
- Design adaptive learning paths, competency-based progression, and AI-evaluated demonstrations of skill.
- Work with security, infrastructure, and data teams to meet organizational standards and integrate with existing architecture.
- Build platform abstractions that allow non-engineers to configure, extend, and experiment with educational experiences.
- Make product-level decisions about how the learning platform and experience operate.
Requirements
- 7+ years of software engineering experience, with demonstrated ability to take a platform from zero to production at scale.
- Genuine passion for education and strong opinions about educational technology in an AI-native world.
- A strong eye for quality educational content and understanding of the complex systems that produce it.
- Full-stack engineering skills, particularly backend systems, databases, APIs, authentication, reliability, and infrastructure.
- Experience building and operating platforms that reliably serve many concurrent users.
- Comfort with ambiguity and ownership, including translating pedagogical intent into technical architecture without heavy specification.
- Experience working with security and infrastructure teams to meet organizational requirements while maintaining development velocity.
- Experience using AI tools in engineering workflows and curiosity about how AI changes educational platforms.
- A bachelor’s degree or equivalent combination of education, training, and experience. The required field of study must be relevant to the role through coursework, training, or professional experience.
Strongly Preferred Experience
- Building or significantly contributing to learning platforms, credentialing systems, or educational technology products.
- Background in or exposure to learning science, instructional design, or educational research.
- Experience with SSO and identity technologies such as SAML and OAuth.
- Experience with badging standards such as Open Badges or integrations such as LTI.
- Familiarity with systems that incorporate LLM capabilities as core infrastructure.
- Experience at a high-growth company building platform infrastructure used by other teams.
- Experience designing systems configured and operated by non-technical users.
Compensation
- Annual salary: $320,000–$405,000 USD
Work Policy and Immigration
- Hybrid work policy: Staff are expected to work from an Anthropic office at least 25% of the time, though some roles may require more office time.
- Anthropic sponsors visas and will make every reasonable effort to obtain a visa for candidates who receive an offer, although sponsorship is not guaranteed for every role or candidate.
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