Applied AI Engineer, DNB

About the role

As an Applied AI Engineer on the Digital Native Business team, you will serve as a technical advisor to high-growth companies building products on Claude. You will partner with customers from initial evaluation through to production, providing hands-on architectural guidance and code contributions. The role involves developing custom evaluation frameworks and prototypes while translating technical insights into content that helps builders succeed.

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

Required skills

• Python
• LLM-powered applications
• Prompting
• Context engineering
• Agent architectures
• Evaluation frameworks
• Technical communication

Qualifications

• Bachelor’s degree or an equivalent combination of education, training, and/or experience

Benefits

• Equity donation matching
• Vacation
• Parental leave
• Flexible working hours

About the Company

Anthropic is a public benefit corporation with a mission to create reliable, interpretable, and steerable AI systems that are safe and beneficial for society. The company operates as a single cohesive team focused on large-scale research efforts, viewing AI research as an empirical science.