Staff+ Software Engineer (AI Platform Intelligence)

Location: San Francisco, CA or New York City, NY; staff are expected to work from one of the offices at least 25% of the time. Preference is given to candidates based in NY, Seattle, San Francisco, or the Bay Area.

Annual salary: $405,000–$485,000 USD.

Company

Anthropic builds reliable, interpretable, and steerable AI systems intended to be safe and beneficial for users and society.

What you will do

• Lead the design, implementation, and operation of API capabilities that expose Claude model abilities to developers.
• Turn new model capabilities from research prototypes into durable, simple, and safe API interfaces.
• Lead API readiness for model launches across APIs, SDKs, documentation, safety controls, and cloud partners.
• Build and operate tools such as web search and code execution under production traffic.
• Set technical direction across multiple teams, write design proposals, review API designs, and mentor engineers.
• Automate model-launch workflows and build evaluations that detect capability regressions before launch.

Requirements

• Experience leading technical projects spanning multiple teams from design through launch and operation.
• Experience designing and operating production distributed systems where correctness, latency, and availability matter.
• Strong product judgment with care for API design and developer experience.
• Ability to make sound technical decisions with incomplete information as models and priorities change near launch.
• Ability to explain technical tradeoffs clearly to research, product, go-to-market, and non-engineering partners.
• Ability to improve engineers through design reviews and mentoring.
• Regular use of AI tools when designing, building, and reviewing software.
• Commitment to the societal impact of AI and Anthropic's mission to build safe, beneficial systems.
• Bachelor's degree or an equivalent combination of education, training, and experience; relevant field of study demonstrated through coursework, training, or professional experience.

Nice to have

• Experience building public APIs, SDKs, or developer platforms.
• Experience 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 AWS, Google Cloud, or Azure.

Culture & Benefits

• Collaborative environment combining research, engineering, policy, and business expertise.
• Work focused on large-scale research efforts and the long-term development of steerable, trustworthy AI.
• Flexible working hours and office collaboration.
• Generous vacation and parental leave.
• Competitive compensation, benefits, optional equity donation matching, and visa sponsorship support when feasible.

Hiring process

• Applications are reviewed on a rolling basis; there is no application deadline.
• Anthropic provides guidance on candidates' use of AI during the application process.