Software Engineer, Claude Code
New York City, NY; San Francisco, CA; Seattle, WAFull-TimeMid-levelSoftware Engineering
About Anthropic
- 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.
- At Anthropic, we believe new AI capabilities are best achieved through secure foundations, not in spite of them. As capabilities grow more advanced, it is critical that progress moves forward safely and for the benefit of all society. It is the reason why security sits at the center of our work, and not as an afterthought.
- We're specifically looking for a Software Engineer to help us 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!
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.
You may be a good fit if you
- 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 5+ 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
Deadline to apply: None. Applications will be reviewed on a rolling basis.
- The annual compensation range for this role is listed below.
- For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.
How we're different
- 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.
