Full-Stack AI Product Engineer - LLM-Powered Interfaces

Anthropic Limited

San Francisco (CA)

Hybrid

USD 300,000 - 320,000

Full time

10 hours ago
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Benefits offered by this job

Competitive compensation
Equity donation matching
Generous vacation
Parental leave
Flexible working hours
Office space in SF

Job summary

Anthropic is seeking a Product Engineer to own end-to-end delivery of computer-use and browser-control product surfaces, building from UI to the agent runtime and backend services. You will work directly with researchers, with no layers between you and the model or user, in a role that rewards adaptability and prioritization of impact.

As a strong cross-functional contributor, you will ship external-user facing features, instrument usage data for prioritization, and collaborate with the Claude

Qualifications

  • Experience building and shipping a product from zero to one with end-to-end ownership.
  • Strong full-stack engineering skills, including production web frontend and backend.
  • Hands-on experience with LLM APIs, prompting, or agent frameworks.
  • Track record of shipping to external users and iterating based on feedback.

Responsibilities

  • Own end-to-end delivery of computer-use and browser-control product surfaces: scope, build, ship, measure, and iterate.
  • Diagnose and resolve reliability issues in the computer-use agent harness.
  • Partner with computer-use researchers.
  • Collaborate with Claude Cowork team on shared surfaces, integrations, and workflows.
  • Instrument products and use data to drive prioritization and measure progress.
  • Translate fuzzy user pain points into concrete features for knowledge workers.

Skills

Full-stack engineering
LLM APIs
Agent frameworks
External users shipping

Education

Bachelor's degree

Job description

Anthropic is seeking a Product Engineer to own end-to-end delivery of computer-use and browser-control product surfaces, building from UI to the agent runtime and backend services. You will work directly with researchers, with no layers between you and the model or user, in a role that rewards adaptability and prioritization of impact.

As a strong cross-functional contributor, you will ship external-user facing features, instrument usage data for prioritization, and collaborate with the Claude

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