Staff+ Software Engineer, Platform Intelligence

Anthropic•San Francisco, NY

9h•Hybrid

About The Position

Anthropic is hiring a Staff+ Software Engineer for its Platform Intelligence team. The team turns Claude models’ abilities into API features that developers can use, including tool use, built-in tools such as web search and code execution, thinking controls, structured outputs, and memory, files, and skills APIs. It also owns API versioning, production capability evaluations, and the API side of model launches, including safety features and controls. The role leads the design, development, and operation of API capabilities used by developers worldwide. It partners with research to translate emerging model abilities into simple, durable, and safe-to-use interfaces, and coordinates API readiness for model launches across research, safeguards, product, SDKs, documentation, and cloud partners. The engineer will set technical direction for work spanning multiple teams, author design proposals, review API designs, and mentor engineers. Between launches, the role will improve launch speed and safety. The position is hybrid under Anthropic’s current policy: staff are expected to work from an office at least 25% of the time, though some roles may require more. Preference is given to candidates based in New York, Seattle, San Francisco, or the Bay Area. The annual salary range is $405,000–$485,000 USD. Anthropic sponsors visas where possible and makes reasonable efforts to support visa applications. The company describes itself as a public benefit corporation headquartered in San Francisco, focused on creating reliable, interpretable, and steerable AI systems that are safe and beneficial.

Requirements

Experience leading technical projects spanning several teams from design through launch and operation.
Experience designing and operating production distributed systems where correctness, latency, and availability matter.
Strong product sense and care for API design and developer experience.
Ability to make sound technical decisions with incomplete information as models and priorities change.
Ability to explain tradeoffs clearly to research, product, and go-to-market partners, including non-engineers.
Ability to improve other engineers’ work through design review and mentoring.
Regular use of AI tools in designing, building, and reviewing software.
Care about the societal impacts of the work and Anthropic’s mission to build safe, beneficial AI.
Bachelor’s degree or equivalent combination of education, training, and/or experience.
A field of study relevant to the role, demonstrated through coursework, training, or professional experience.
Minimum years of experience correlate with the internal job level requirements; no specific number is stated.

Nice To Haves

Experience building public APIs, SDKs, or developer platforms.
Experience working with large language models, including tool use, agents, or evaluations.
Experience running launches or migrations with fixed deadlines and many dependent teams.
Experience building tools for agents, such as search or code execution.
Experience with storage, memory, or context systems at scale.
Experience integrating with cloud platforms such as AWS, Google Cloud, and Azure.

Responsibilities

Lead the design, development, and operation of API capabilities for developers.
Work with research to translate new model abilities into simple, durable API interfaces that are hard to misuse.
Lead API readiness for new Claude model launches, planning work, tracking readiness across teams, resolving late-stage issues, and seeing launches through.
Coordinate launch readiness across the API, SDKs, documentation, research, safeguards, product, and cloud partners.
Set technical direction for work spanning several teams and write clear design proposals.
Review API designs from other teams and mentor engineers.
Build and operate tools such as web search and code execution under real traffic.
Automate manual aspects of model launches and build evaluations that detect capability regressions before launch.
Improve future launches so they are faster and safer.