Staff Software Engineer, Claude Code

Anthropic•Seattle, WA

3d•$320,000 - $625,000•Hybrid

About The Position

Anthropic is seeking a Software Engineer to build and maintain new agentic coding tools for developers. The ideal candidate will have a passion for developer tools, extensive knowledge of diverse programming environments and languages, and experience with advanced LLM features like tool-use, chaining and orchestration patterns, and prompt engineering. Curiosity about AI research is a must. Anthropic's mission is to create reliable, interpretable, and steerable AI systems that are safe and beneficial for users and society. They believe new AI capabilities are best achieved through secure foundations, and that progress must move forward safely and for the benefit of all society, with security at the center of their work.

Requirements

Excited about AI-assisted coding as a tool to enhance developer productivity and creativity—not replace human ingenuity
Spend a lot of time refining and customizing your AI workflows
Have experience building and maintaining dev tools
Are an expert in React development, including performance optimization, modern patterns (hooks, context, suspense), and component architecture
Specialize in user experience engineering but are a capable full stack developer
Have hands-on experience working with large language models and prompt engineering
Have worked on projects with stringent safety, security and/or compliance requirements
Care about the societal impacts and ethics of your work
6+ years of work experience

Nice To Haves

Building and maintaining CLI tools
Working in large codebases and quickly jumping in to unfamiliar development environments
Working with container orchestration and cloud infrastructure
Scaling TypeScript projects
Working with alternate JavaScript runtimes like Bun and Deno

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.