Used Tools & Technologies
Not specified
Required Skills & Competences ?
TypeScript @ 6 Python @ 6 CI/CD @ 3 Hiring @ 3 Communication @ 3 Git @ 3 JavaScript @ 6 API @ 3Details
Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
Responsibilities
- Design and develop comprehensive code examples, cookbooks, and quickstart guides for Anthropic's products and APIs
- Create sample applications and reference implementations that showcase best practices and advanced use cases
- Write clear, detailed documentation within code repositories including READMEs, inline comments, and architectural explanations
- Contribute to open-source repositories that serve the developer community
- Author technical blog posts that explore engineering concepts, implementation patterns, and innovative applications
- Collaborate with engineering, product, and research teams to understand new features and translate them into practical developer resources
- Gather feedback from the developer community to identify gaps in resources and continuously improve content quality
- Maintain and update existing code examples to reflect API changes and evolving best practices
Requirements
- 5+ years of professional software engineering experience with a strong portfolio of technical projects
- Proven ability to write clean, well-documented code that serves as both functional software and educational material
- Experience creating technical content such as tutorials, documentation, or educational code samples
- Strong programming skills in multiple languages, particularly Python and TypeScript/JavaScript
- Excellent written communication skills with the ability to explain complex technical concepts clearly
- Experience with modern development practices including version control (Git), CI/CD, and testing
- Passion for developer education and enabling others to build successfully
- Self-directed with ability to identify high-impact projects and execute independently
Strong candidates may also have
- Experience in developer relations, developer advocacy, or technical education roles
- Background working with AI/ML technologies, APIs, or large language models (LLMs)
- Published technical blog posts, conference talks, or open-source contributions
- Experience building and maintaining developer tools or SDKs
- Familiarity with multiple programming paradigms and frameworks
- Active participation in developer communities
- Experience with video content creation or live coding demonstrations
Benefits & Other Info
- Competitive salary ranging from $280,000 to $405,000 USD per year
- Bachelor's degree or equivalent experience required
- Location-based hybrid work policy: at least 25% office presence expected
- Visa sponsorship available for qualifying candidates
- Inclusive hiring approach encouraging candidates who may feel underqualified to apply
- Collaborative, research-driven work environment focused on impactful AI research
- Office locations in San Francisco, New York City, and Seattle, with flexible work options
- Competitive compensation, benefits, equity donation matching, generous vacation, parental leave, and flexible working hours