Applied AI Engineer, Startups

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.

As an Applied AI Engineer on the Startups team at Anthropic, you will be a trusted technical advisor helping the top AI‑native startups build on the Claude Developer Platform as they grow from early product to scale. You'll lead deep technical engagements, partnering directly with startup engineering teams to help them develop their products on top of Claude—advising on implementation, agent design, and working alongside them to build at the frontier of AI.

Working closely with Applied AI Architects, Account Executives, and Anthropic’s Product and Engineering teams, you'll guide startups through deep technical engagements. You'll leverage your AI engineering expertise to develop custom evaluation frameworks, design scalable architectures, and create the technical resources that enable startups to succeed with Claude.

• Serve as a deep technical advisor to high‑potential startups, working alongside them to build innovative use cases that push the boundaries of AI.
• Work hands‑on with startup engineering teams: pair programming, architecture reviews, and code contributions that accelerate their development.
• Develop prototypes and technical documentation—including evaluation suites, AI engineering techniques, and architecture diagrams—that enable startups to build and scale with Claude.
• Collaborate closely with Applied AI Architects to maintain context and continuity across customer engagements.
• Identify patterns across engagements and contribute insights back to Product, Engineering, and the broader Applied AI team.
• Create technical content for startup audiences including documentation, tutorials, and sample code.
• Foster community engagement through hackathons, webinars, technical office hours, and startup‑focused events.
• Travel to customer sites for workshops, implementation support, and relationship building.

• 4+ years of experience as a Software Engineer, Forward Deployed Engineer, or technical founder.
• Production experience building LLM‑powered applications, including prompting, context engineering, agent architectures, evaluation frameworks, and deployment at scale.
• Strong programming skills with proficiency in Python and experience building production applications.
• Experience with startups or high‑growth companies.
• Ability to context‑switch across industries and use cases.
• Builder credibility that earns trust with technical founders and engineering teams—you’ve shipped products and can speak from experience.
• Strong technical communication skills with the ability to translate complex AI concepts into architectural decisions and actionable implementation plans.
• Experience facilitating technical workshops, hackathons, or developer‑focused events.
• Passion for making powerful technology safe and beneficial.

The annual compensation range for this role is below. Our total compensation package for full‑time employees includes equity and benefits.

Annual Salary: $280,000—$320,000 USD

Education requirements: We require at least a Bachelor’s degree in a related field or equivalent experience.

Location‑based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

Visa sponsorship: We do sponsor visas! However, we aren’t able to successfully sponsor visas for every role and every candidate. If we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome…