Staff Software Engineer - AI Tooling & Developer Experience

Worky

Seattle (WA)

Hybrid

USD 320,000 - 625,000

Full time

13 days ago

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Job summary

Anthropic is seeking a Software Engineer to design, build, and maintain AI-powered developer tools and infrastructure. The role requires expertise in React, modern patterns, and hands-on experience with large language models and prompt engineering.

You will collaborate with researchers and engage with developers to improve tools and user experience, while exploring Python notebooks, VS Code plug-ins, and containerized environments.

Qualifications

  • 6+ years of professional experience.
  • Expert in React development with modern patterns (hooks, context, suspense).
  • Hands-on experience with large language models and prompt engineering.
  • Experience building and maintaining developer tools.
  • Familiarity with AI safety/compliance considerations.

Responsibilities

  • Design, build, and maintain scalable features and infrastructure for AI-powered development tools.
  • Engage with developers to gather insights and improve user experience.
  • Collaborate with researchers to improve model capabilities through shared tools and evals.
  • Experiment with new tools and techniques, tracking enhancements to existing ones.
  • Contribute across the stack from front-end UI to back-end infrastructure to deliver new features and fix bugs.
  • Explore areas like Python notebooks, VS Code plug-ins, and containerized environments.

Skills

React development
Performance optimization
Full stack
Prompt engineering
LLM tooling

Education

Bachelor's degree or equivalent

Tools

Docker
Kubernetes
VS Code
TypeScript

Job description

Anthropic is seeking a Software Engineer to design, build, and maintain AI-powered developer tools and infrastructure. The role requires expertise in React, modern patterns, and hands-on experience with large language models and prompt engineering.

You will collaborate with researchers and engage with developers to improve tools and user experience, while exploring Python notebooks, VS Code plug-ins, and containerized environments.

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