Applied AI Engineer, DNB

anthropic; Greater London; Hybrid; GBP 225,000 - 255,000; Full time

Job summary

Anthropic is seeking an Applied AI Engineer to join the Digital Native Business team to help fast-growing companies build on Claude. You will be the technical advisor for architecture, agent design, and evaluation, pairing with customer engineers from prototype to production at scale.

In this role you’ll partner with Account Executives and Applied AI Architects to guide customers from first conversation through technical evaluation to a decision to build on Claude, delivering prototypes,

Qualifications

• 4+ years of experience as a Software Engineer, Forward Deployed Engineer, or technical founder.
• Experience in a customer-facing or pre-sales technical role.
• Production experience building LLM-powered applications, including prompting, context engineering, agent architectures, and deployment at scale.
• Strong programming skills with Python; experience building production applications.
• Experience with high-growth tech companies and diverse industries.
• Strong technical communication to translate AI concepts into architecture and implementation plans.

Responsibilities

• Serve as a deep technical advisor to high-growth companies building innovative AI use cases.
• Work hands-on with customer engineering teams: pair programming, architecture reviews, and code contributions.
• 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.

Skills

Python

LLM applications

Customer-facing

Technical communication

Prototyping

Education

Bachelor's degree

Job description

About Anthropic

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.

About the role

As an Applied AI Engineer on our Digital Native Business team, you'll help fast-growing, tech-forward companies build their products on Claude. You'll be the technical advisor their engineering teams turn to for architecture, agent design and evaluation, and you'll work alongside them, pair programming and reviewing architectures, to get from first prototype to production at scale.

You’ll partner with Account Executives and Applied AI Architects to take each customer from first conversation through technical evaluation and proof of value to a confident decision to build on Claude, then stay close as they ship and scale. These customers move quickly and expect you to have built things yourself, so you’ll be at your best in the code and the architecture review, not just the meeting. Alongside Anthropic’s Product and Engineering teams, you’ll develop custom evaluation frameworks, prototypes and reference architectures, and turn what you learn across engagements into technical content and product feedback that helps other builders succeed 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: 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

You may be a good fit if you have

• 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

The annual compensation range for this role is listed below.

For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.

Annual Salary:

£225,000-£255,000 GBP

Logistics

Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience

Required field of study:A field relevant to the role as demonstrated through coursework, training, or professional experience

Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position

Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

Visa sponsorship:We do sponsor visas! However, we aren’t able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

How we’re different

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We’re an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.

The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.

Come work with us!

Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage:Learn about our policy for using AI in our application process.