Staff Software Engineer, Claude Code

Anthropic Limited
San Francisco, CA, United States
1 day ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
6 years minimum
Compensation
$320,000.0
Working hours
Regular working hours
Job source

Tech stack

JavaScript (Programming Language) Artificial Intelligence Cloud Computing Programming Tools Python (Programming Language) Performance Tuning TypeScript ReactJS Large Language Models Claude Code Prompt Engineering Containerization
+3 more
Kubernetes Codebase Automation Anywhere

Job description

  • 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.

Requirements

  • Are 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
  • Have 6+ years of work experience

Strong Candidates May Also Have Experience With

  • 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, Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience

Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience

Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position

Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

Benefits & conditions

Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.

About the company

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., We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact - advancing our long-term goals of steerable, trustworthy AI - rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We’re an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.

The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.

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