Applied AI Engineer

• Be a trusted technical adviser helping tech-forward companies build on the Claude Developer Platform as they grow and scale. • Lead deep technical engagements partnering directly with engineering teams to help them develop products on top of Claude. • Advise on implementation, agent design, and work alongside customers to build at the frontier of AI.

• Have 4 or more years of experience as a Software Engineer, Forward Deployed Engineer, or technical founder. • Have experience in a customer-facing or pre-sales technical role partnering with customers to scope, design, and deliver solutions. • Have production experience building LLM-powered applications including prompting, context engineering, agent architectures, evaluation frameworks, and deployment at scale. • Have strong programming skills with proficiency in Python and experience building production applications. • Have experience working with high-growth tech-forward companies. • Be able to context-switch across industries such as healthcare and fintech. • Have builder credibility that earns trust with technical founders and engineering leaders. • Have strong technical communication skills with the ability to translate complex AI concepts into architectural decisions and actionable implementation plans. • Have experience facilitating technical workshops, hackathons, or developer-focused events.

• Have experience designing custom evaluation frameworks for LLM applications. • Have experience with agent architectures and multi-step reasoning systems. • Have experience creating technical content for developer audiences including documentation and tutorials. • Have experience fostering developer community engagement.

• Serve as a deep technical adviser to high-growth tech-forward companies working alongside them to build innovative use cases. • Work hands-on with customer engineering teams through pair programming, architecture reviews, and code contributions. • Develop prototypes and technical documentation including 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.

• Earn £225,000 to £240,000 annual salary. • Receive competitive compensation and benefits. • Access optional equity donation matching. • Benefit from generous vacation and parental leave. • Enjoy flexible working hours. • Access a lovely office space in London for collaboration. • Receive visa sponsorship support.

Anthropic mission is to create reliable, interpretable, and steerable AI systems that are safe and beneficial for users and society. The team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.