Applied AI Engineer, DNB
London, UK
Posted 6h ago
About the job
As an Applied AI Engineer at Anthropic, you will serve as a trusted technical advisor to tech-forward companies, helping them build and scale on the Claude Developer Platform. You will lead deep technical engagements, partnering directly with engineering teams to advise on implementation, agent design, and push the boundaries of AI. Working closely with Applied AI Architects and other internal teams, you will guide customers through complex technical challenges, develop custom evaluation frameworks, design scalable architectures, and create essential technical resources to ensure their success 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, including pair programming, architecture reviews, and code contributions.
- Develop prototypes and technical documentation, such as evaluation suites, AI engineering techniques, and architecture diagrams.
- 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.
Requirements
- 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 and use cases.
- Builder credibility that earns trust with technical founders and engineering leaders.
- Strong technical communication skills with the ability to translate complex AI concepts into actionable implementation plans.
- Experience facilitating technical workshops, hackathons, or developer-focused events.
- Passion for making powerful technology safe and beneficial.