Anthropic is seeking a Staff Software Engineer to build and maintain agentic coding tools for developers. The role focuses on designing scalable AI-powered development features, engaging with internal and external developers, collaborating with researchers, and staying ahead of AI advancements. The engineer will contribute across the full stack—from UI to backend infrastructure—and work in unfamiliar domains such as Python notebooks, VS Code extensions, and containerized environments. This full-time hybrid position offers competitive salary, benefits, and opportunities to impact the future of AI-assisted coding.
Staff Software Engineer, Claude Code at Anthropic
Hybrid - San Francisco, CA | New York City, NY | Seattle, WA
More jobs at AnthropicSalary
USD 320,000 - 625,000
Requirements
Skills
- Bachelor's degree or an equivalent combination of education, training, and/or experience
- Relevant field of study for the role
- 6+ years of work experience
- Experience building and maintaining developer tools
- Expertise in React development, including performance optimization, modern patterns (hooks, context, suspense), and component architecture
- Full stack development capability
- Hands‑on experience with large language models and prompt engineering
- Experience with safety, security and/or compliance requirements
- Passion for AI‑assisted coding and enhancing developer productivity
Responsibilities
- Design, build, and maintain scalable features and infrastructure for AI-powered development tools
- Engage directly with developers inside and outside Anthropic to gather insights and improve user experience
- Collaborate with researchers to improve model capabilities through shared tools and evals
- Stay ahead of advancements in AI-assisted coding by experimenting with new tools, evaluating emerging techniques, and tracking enhancements to existing ones
- Contribute across the stack—from front-end UI to back-end infrastructure—to develop new features, fix bugs, and optimize performance
- Dive into possibly unfamiliar areas like Python notebooks, VS Code plug-ins, and containerized environments
Technologies
ReactTypeScriptPythonVS Code plug-insContainer orchestrationCloud infrastructureCLI toolsBunDenoLarge language modelsPrompt engineering
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