Applied AI Engineer, DNB

London · GBP 225,000-255,000 / year · 4+ years experience · Hybrid · Posted Sep 28, 2026

At a glance

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 Digital Native Business team, you will help fast-growing, tech-forward companies build their products on Claude.
You will act as a technical advisor for architecture, agent design, and evaluation, working hands-on with customer engineering teams from prototype to production.
You will partner with Account Executives and Applied AI Architects to take customers through technical evaluation and proof of value.

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

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

Location-based hybrid policy: currently expect all staff to be in one of our offices at least 25% of the time
Travel to customer sites for workshops, implementation support, and relationship building