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Salary: GBP 225,000 - 255,000 / annual
Anthropic is seeking an Applied AI Engineer to serve as a trusted technical advisor to high-growth, tech-forward companies building on the Claude Developer Platform. In this role, you will lead deep technical engagements with customer engineering teams, providing hands-on support through pair programming, architecture reviews, and code contributions that accelerate their development of AI-powered products.
Key responsibilities include:
- Serve as a deep technical advisor to high-growth companies, working alongside them to build innovative AI use cases
- Engage 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 with Applied AI Architects to maintain context across customer engagements
- Identify patterns across engagements and contribute insights 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
You will work closely with Applied AI Architects, Account Executives, and Anthropic's Product and Engineering teams to guide customers through deep technical engagements, leveraging your AI engineering expertise to develop custom evaluation frameworks and design scalable architectures.
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 (healthcare, fintech, etc.) and use cases
- Builder credibility that earns trust with technical founders and engineering leaders; demonstrated track record of shipping products
- Strong technical communication skills with 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
- Bachelor's degree or equivalent combination of education, training, and/or experience in a field relevant to the role
