Staff Software Engineer, Labs: Applied AI

Anthropic is a public benefit corporation building reliable, interpretable, and steerable AI systems. This role sits in Applied AI, one of the newest explorations within Anthropic Labs — the internal accelerator behind Claude Code, MCP, and Claude Design. The team takes frontier AI capabilities and turns them into applications that professionals in less software-native roles can pick up and trust, rapidly building and testing new experiences and partnering with researchers, domain experts, and users.

• Rapidly prototype full-stack applications that bring frontier AI into workflows that have never been software-first, shipping early and often to maximize learning.
• Immerse in unfamiliar domains: sit with users, learn how their work actually gets done, and encode that understanding into products, evaluations, and workflows.
• Collaborate closely with research teams to understand new model capabilities and translate them into tools that non-technical professionals reach for first.
• Work directly with internal teams and external partners across industries to gather feedback, iterate quickly, and validate (or invalidate) product concepts.
• Design and run structured experiments to test hypotheses, balancing creative exploration with rigorous evaluation.
• Generate documentation and insights to guide successful prototypes toward full product teams; provide feedback to research teams about model effectiveness in real-world, domain-heavy settings.
• Flexibly contribute across Labs initiatives based on organizational priorities and emerging opportunities.

• 8+ years of experience building full-stack applications, with a track record of zero-to-one work in startup or startup-like environments.
• Deep curiosity about how other industries work; comfort with ambiguity; a hacker mentality with high agency and bias toward shipping.
• User-centric approach — validate ideas with actual users before over-investing; articulate learnings from failed or killed projects without defensiveness; hold strong opinions loosely.
• A generalist who can transition between problem spaces, works independently with good judgment, and communicates effectively.
• Strong candidates may also have: experience building products for non-tech industries (healthcare, manufacturing, logistics, construction, energy, agriculture, financial services, education, or the public sector); a previous non-software career; background in embedded or field-based discovery (user research, interviews, ride-alongs, usability testing); experience integrating with ERPs, EHRs, CRMs, dispatch, scheduling, or point-of-sale systems; experience shipping software or AI applications to non-technical or frontline users; hands-on applied AI experience with AI/ML or large language models; experience collaborating directly with research teams.

Annual salary: $320,000—$405,000 USD.

Minimum education: Bachelor's degree or an equivalent combination of education, training, and/or experience. Location-based hybrid policy: all staff are expected to be in one of Anthropic's offices at least 25% of the time; some roles may require more. Visa sponsorship is available.