Applied AI Engineer

About the role

As an Applied AI Engineer at Anthropic, you will be a trusted technical advisor helping tech-forward companies build on the Claude Developer Platform as they grow and scale. You'll lead deep technical engagements, partnering directly with 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 customers 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 tech-forward businesses to succeed with Claude.

Responsibilities

• Serve as a deep technical advisor to high-growth, tech-forward companies, working alongside them to build innovative use cases that push the boundaries of AI
• Work hands-on with customer 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 customers 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 developer audiences including documentation, tutorials, and sample code
• Foster community engagement through hackathons, webinars, technical office hours, and developer-focused events
• Travel to customer sites for workshops, implementation support, and relationship building

You may be a good fit if you have

• 4+ years of experience as a Software Engineer, Forward Deployed Engineer, or technical founder
• Experience in a customer-facing or pre-sales technical role - partnering with customers to scope, design, and deliver solutions
• 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 working with high-growth, tech-forward companies
• Ability to context-switch across industries (healthcare, fintech, etc.) and use cases
• Builder credibility that earns trust with technical founders and engineering leaders - 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