Software Engineer

About the role:

At Anthropic, we're building AI systems that are helpful, harmless, and honest. Our mission is to develop AI that benefits humanity, and we believe the most transformative capabilities emerge when we thoughtfully bridge the gap between research breakthroughs and real-world applications. Every new capability we develop has the potential to reshape how people work, learn, and create.

Frontier Apps serves as Anthropic's innovation team, exploring how emerging AI capabilities can transform user experiences and unlock entirely new ways for people to interact with AI systems. Within Frontier Apps, the Frontier Prototyping team focuses on rapidly building and testing new user experiences to validate emerging capabilities and gather insights that advance our models.

We are seeking a versatile and collaborative Full Stack Engineer to join the Frontier Prototyping team. In this role, you will work closely with both customers and researchers to create innovative interfaces and interactions that unlock new model capabilities while gathering critical feedback. You'll be at the intersection of cutting-edge research and real-world application, building prototypes that shape the future of human-AI interaction.

Responsibilities:

• Rapidly prototype full stack applications that showcase emerging AI capabilities in novel user experiences
• Collaborate closely with research teams to understand new model capabilities and translate them into intuitive user interfaces
• Build and deploy prototypes for internal test users and external partners, shipping early and often to maximize learning
• Work directly with customers and early access partners to gather feedback, iterate quickly, and validate product concepts
• Coordinate across multiple teams at Anthropic to ensure prototypes integrate with existing infrastructure and capabilities
• Advocate for user experience considerations in the research and development process
• Provide valuable feedback to research teams about the effectiveness of new model capabilities and where model quality can be improved
• Generate insights and documentation to guide transition of successful prototypes to full product teams
• Flexibly contribute to various frontier initiatives based on organizational priorities and emerging opportunities

You might be a good fit if you:

• Have 8+ years of experience building full stack applications with a focus on user experience and rapid iteration
• Have experience with rapid prototyping, including discarding prototypes and ending projects based on what you learn
• Thrive in both startup-style zero-to-one environments and larger organizational settings
• Have strong technical skills across modern web development stacks (React, Node.js, Python, etc.)
• Are comfortable working with APIs, databases, and cloud technologies
• Possess strong communication skills and user empathy to translate complex AI capabilities into intuitive experiences
• Are results-oriented with a bias toward flexibility, impact, and continuous learning
• Enjoy collaborating closely with cross-functional teams including researchers, designers, and product managers
• Pick up slack, even if it goes outside your job description
• Want exposure to cutting-edge AI research and its practical applications
• Care about the societal impacts and ethics of your work

Strong candidates may also:

• Have experience building products that involve AI/ML components or APIs
• Have worked with large language models or other AI technologies
• Have experience collaborating with research teams or researchers in AI/ML environments
• Have experience conducting user research, interviews, and usability testing
• Have experience with real-time applications and WebSocket implementations
• Have worked in customer-facing roles or directly with external partners
• Have experience with design systems and frontend component libraries
• Have background in both B2B and B2C product development
• Have developed products for a variety of audiences in multiple industries

Candidates need not have:

• 100% of the skills needed to perform the job
• Formal certifications or education credentials
• Direct machine learning or AI research experience

Deadline to apply: None. Applications will be reviewed on a rolling basis.