AI Product Engineer – Full-Stack Prototyping

Anthropic

San Francisco, New York, Seattle (CA, NY, WA)

Hybrid

USD 320,000 - 485,000

Full time

2 days ago
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Benefits offered by this job

Competitive compensation and benefits
Equity donation matching (optional)
Generous vacation and parental leave
Flexible working hours
Office in San Francisco

Job summary

Anthropic is seeking versatile, entrepreneurial engineers to join Labs, working at the intersection of cutting-edge research and real-world applications. You will rapidly prototype full-stack applications, collaborate with research teams, and gather feedback from internal users and partners to shape product concepts.

We value independent work, strong technical skills across React, Node.js, Python, APIs, databases, and cloud tech, plus a user-centric approach and willingness to explore new AI

Qualifications

  • 8+ years of experience building full-stack applications in startup or startup-like environments.
  • Able to thrive in ambiguity and adapt to shifting priorities.
  • Demonstrates a hacker mentality with high agency and bias toward shipping.

Responsibilities

  • Rapidly prototype full-stack applications that showcase AI capabilities.
  • Collaborate with research teams to translate model capabilities into intuitive UX.
  • Run structured experiments to test hypotheses and guide prototypes toward product teams.
  • Provide feedback to research teams about model effectiveness and areas for improvement.

Skills

Full-stack development
React
Node.js
Python
User-centered design

Education

Bachelor’s degree or equivalent

Tools

WebSocket

Job description

Anthropic is seeking versatile, entrepreneurial engineers to join Labs, working at the intersection of cutting-edge research and real-world applications. You will rapidly prototype full-stack applications, collaborate with research teams, and gather feedback from internal users and partners to shape product concepts.

We value independent work, strong technical skills across React, Node.js, Python, APIs, databases, and cloud tech, plus a user-centric approach and willingness to explore new AI

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