Anthropic is seeking foundational members for its Languages Team to define and build the development ecosystems that power the future of AI development, ensuring AI systems are safe and beneficial.
Requirements
Have 5+ years of production software engineering experience with deep expertise in at least one of Python, Rust, or Go
Have strong experience in developer tooling, build systems (including Nix), dependency management, and worked extensively with monorepos
Are comfortable working across the stack, including debugging infrastructure issues like Kubernetes problems or optimizing system performance
Built core language infrastructure like compilers, interpreters, package ecosystems, or maintained widely-used open-source developer tools with significant adoption
Expertise in performance optimization across language runtimes or cross-language interop technologies
Experience with AI/ML research-to-production workflows, understanding the unique challenges of supporting both experimental research code and production model training/serving pipelines
Responsibilities
Design and build foundational language infrastructure for Python, Rust, and/or Go that supports both AI research workflows and production-scale systems
Define and implement language ecosystem standards, best practices, tooling, libraries, and frameworks that ensure safety, performance, and exceptional developer productivity across diverse AI workloads
Establish language-specific CI/CD pipeline integration, testing frameworks, and deployment strategies optimized for AI development cycles
Partner extensively with infrastructure teams to ensure seamless integration between language-specific tools and broader platform services, such as debugging Kubernetes issues, optimizing node instance types for performance, and collaborating on cross-cutting infrastructure challenges
Collaborate closely with research and engineering teams to understand emerging requirements and translate them into robust, scalable language infrastructure, including cross-language interoperability solutions
Drive technical strategy for language adoption, migration paths, large-scale cross-cutting changes, and ecosystem evolution as Anthropic scales, while mentoring engineers and researchers on language best practices
Lead incident response and troubleshooting for language-related issues across research and production environments
Other
Have strong communication and collaboration skills to work effectively with diverse teams including researchers, engineers, and infrastructure specialists
Are excited about defining foundational systems and processes and are comfortable working independently on ambiguous, high-impact technical challenges
We require at least a Bachelor's degree in a related field or equivalent experience.
Currently, we expect all staff to be in one of our offices at least 25% of the time.
