Applied AI Engineer, DNB

Overview

As an Applied AI Engineer at Anthropic, you act as a trusted technical advisor helping tech-forward companies build on the Claude Developer Platform. You lead deep technical engagements, guiding customers through architecture and implementation to scale Claude-powered use cases. You will develop prototypes, evaluation frameworks, and technical content, collaborating with architects and product teams. You help customers ship production-grade AI solutions while advancing Anthropic’s mission of safe, steerable AI.

Pay / Benefits

• competitive compensation and benefits
• optional equity donation matching
• generous vacation and parental leave
• flexible working hours
• office space for collaboration
• visa sponsorship support

Responsibilities

• Serve as a deep technical advisor to high-growth companies and co-create innovative AI use cases
• Collaborate with customer engineering teams through pair programming, architecture reviews, and code contributions
• Develop prototypes and documentation including evaluation suites and architecture diagrams
• Maintain continuity with Applied AI Architects across engagements
• Extract patterns across engagements and share insights with Product and Engineering
• Create technical content for developers (docs, tutorials, sample code)
• Foster community engagement via hackathons, webinars, and developer events
• Travel to customer sites for workshops and implementation support

Key requirements

• 4+ years of experience as Software Engineer, Forward Deployed Engineer, or technical founder
• Experience in customer-facing or pre-sales technical roles
• Production experience building LLM-powered applications (prompting, context engineering, agent architectures, deployment at scale)
• Strong Python programming skills and production experience
• Experience with high-growth tech-forward companies
• Ability to context-switch across industries and use cases
• Builder credibility with technical founders and engineering leaders
• Strong technical communication skills for translating AI concepts into architecture and implementation plans
• Experience facilitating technical workshops or developer-focused events
• Passion for making powerful technology safe and beneficial

• strong communication
• collaboration
• stakeholder management
• Python
• LLM-powered applications
• prompting

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