Software Engineer, Labs

About Anthropic

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

At Anthropic, we're building AI systems that are safe, beneficial, and transformative. Our mission is to develop AI that benefits humanity, and we believe the most powerful capabilities emerge when we thoughtfully bridge the gap between research breakthroughs and real-world applications.

Anthropic Labs serves as our internal accelerator. We're looking for the next breakout hits that bring substantial revenue or transform an industry. We operate in close partnership with research and build through fast iteration cycles. Past successes include Claude Code and MCP.

We're seeking versatile, entrepreneurial engineers to join Labs. In this role, you'll work at the intersection of cutting-edge research and real-world application, rapidly building and testing new experiences, working directly with researchers and users, and generating the insights that shape Anthropic's product future. You'll need to be comfortable with ambiguity, willing to kill your own projects when the data says to, and energized by the pace of building in uncharted territory.

Rapidly prototype full-stack applications that showcase emerging AI capabilities, shipping early and often to maximize learning

Collaborate closely with research teams to understand new model capabilities and translate them into intuitive user experiences

Work directly with internal test users and external partners 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

Advocate for user experience and product considerations early in the research process

Provide feedback to research teams about model effectiveness and where capabilities can be improved

Flexibly contribute across Labs initiatives based on organizational priorities and emerging opportunities—context from one project should inform the next

Have 8+ years of experience building full-stack applications, with a track record of zero-to-one work in startup or startup-like environments

Thrive in ambiguity and are energized (not anxious) by uncertainty—you're comfortable working on projects that might not exist in three months

Have a hacker mentality: high agency, bias toward shipping, comfort with technical debt when it's the right tradeoff

Are deeply user-centric—you validate ideas with actual users before over-investing and talk about problems before solutions

Can articulate learnings from failed or killed projects without defensiveness; you treat your work as experiments

Hold strong opinions loosely—you advocate forcefully for ideas but change your mind based on evidence

Are a generalist who can transition between different problem spaces as priorities shift

Work independently with good judgment about what matters, without needing constant direction

Have strong technical skills across modern web development stacks (React, Node.js, Python, etc.) and are comfortable with APIs, databases, and cloud technologies

Communicate effectively and translate complex AI capabilities into intuitive experiences

Care about the societal impacts and ethics of your work

Experience building products that involve AI/ML components or working with large language models

Experience…