About the Position

Applied AI Engineer, Startups

London, UK

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 at Anthropic, you will be a trusted technical advisor helping tech-forward companies build on the Claude Developer Platform as they grow and scale. You'll lead deep technical engagements, partnering directly with engineering teams to help them develop their products on top of Claude - advising on implementation, agent design, and working alongside them to build at the frontier of AI.

Working closely with Applied AI Architects, Account Executives, and Anthropic's Product and Engineering teams, you'll guide customers through deep technical engagements. You'll leverage your AI engineering expertise to develop custom evaluation frameworks, design scalable architectures, and create the technical resources that enable tech-forward businesses to 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

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 - 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

We Offer

Annual Salary: £225,000-£255,000 GBP
Competitive compensation and benefits
Optional equity donation matching
Generous vacation and parental leave
Flexible working hours
Lovely office space in San Francisco

About the Company

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.

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.

Applied AI Engineer, Startups

Job description

About the Position