Staff Software Engineer, Applied AI Labs - Build AI Tools

Anthropic; New York, San Francisco (NY, CA); Hybrid; USD 320,000 - 405,000; Full time

Job summary

Anthropic in New York, NY is seeking a Staff Software Engineer for Labs: Applied AI. You will rapidly prototype full‑stack applications that bring frontier AI into professional workflows, shipping early and often to maximize learning, while collaborating with researchers, domain experts, and users.

You should have 8+ years of experience building full‑stack systems, a passion for turning messy real‑world processes into usable software, and comfort with ambiguity.

Qualifications

• 8+ years of experience building full‑stack applications in startup or startup‑like environments.
• Ability to translate messy real‑world workflows into usable software.
• Experience shipping software or AI applications to non‑technical users.

Responsibilities

• Rapidly prototype full‑stack applications bringing frontier AI into workflows not originally software‑first.
• Learn user work practices by sitting with users and encoding understanding into products and workflows.
• Collaborate with research teams to translate new model capabilities into practical tools for non‑technical professionals.
• Work with internal teams and external partners to gather feedback and validate product concepts.
• Design and run structured experiments to test hypotheses and evaluate outcomes.
• Produce documentation and insights to guide prototypes toward full product teams.
• Provide feedback to researchers on model effectiveness in real‑world settings.
• Contribute across Labs initiatives based on priorities and opportunities.

Skills

Full-stack applications

Education

Bachelor's degree

Job description

Anthropic in New York, NY is seeking a Staff Software Engineer for Labs: Applied AI. You will rapidly prototype full‑stack applications that bring frontier AI into professional workflows, shipping early and often to maximize learning, while collaborating with researchers, domain experts, and users.

You should have 8+ years of experience building full‑stack systems, a passion for turning messy real‑world processes into usable software, and comfort with ambiguity.