Staff Software Engineer, Labs: Applied AI

Details

Anthropic is looking for a versatile, entrepreneurial software engineer to build applications that bring frontier AI capabilities into workflows used by professionals in less software-native roles. You will rapidly prototype and test new experiences, work directly with users and domain experts, collaborate with AI research teams, and help shape the future direction of Applied AI within Anthropic Labs.

Responsibilities

• 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 yourself in unfamiliar domains by observing users, learning how their work is performed, and translating that understanding into products, evaluations, and workflows.
• Collaborate closely with research teams to understand new model capabilities and translate them into tools for non-technical professionals.
• Work 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 while 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 and areas for improvement.
• Contribute flexibly across Labs initiatives as organizational priorities and opportunities evolve.

Requirements

• 8+ years of experience building full-stack applications.
• A track record of zero-to-one work in startup or startup-like environments.
• Curiosity about how other industries work and the ability to translate complex real-world workflows into simple software.
• Comfort with ambiguity, uncertainty, technical debt, and rapidly changing project priorities.
• A high-agency, user-centric approach with a bias toward shipping and validating ideas with actual users.
• Ability to learn from failed or discontinued projects and change direction based on evidence.
• Generalist engineering skills and the ability to transition between different problem spaces.
• Ability to work independently and exercise good judgment.
• Strong communication skills, including the ability to make complex AI capabilities intuitive to people who do not think in software.
• Care for the societal impacts and ethics of AI-related work.
• A bachelor's degree or equivalent combination of education, training, and experience. The required field of study should be relevant to the role as demonstrated through coursework, training, or professional experience.

Preferred Qualifications

• Experience building products for industries outside of technology, such as healthcare, manufacturing, logistics, construction, energy, agriculture, financial services, education, or the public sector.
• Previous career or deep hands-on experience in a non-software field served by these products.
• Experience conducting embedded or field-based discovery, including user research, interviews, ride-alongs, and usability testing with frontline professionals.
• Experience integrating with enterprise systems such as ERPs, EHRs, CRMs, dispatch systems, scheduling systems, or point-of-sale systems.
• Experience shipping software or AI applications to non-technical or frontline users.
• Hands-on experience building and deploying products powered by AI, machine learning, or large language models.
• Experience collaborating directly with AI/ML research teams.

Benefits

Anthropic offers competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and office space for collaboration. Anthropic expects staff to work from one of its offices at least 25% of the time, although some roles may require more office time.