Applied AI Engineer, Startups

AI Chopping Block, Inc.; Greater London; Hybrid; GBP 225,000 - 255,000; Full time

Benefits offered by this job

Competitive compensation and benefits

Equity donation matching (optional)

Generous vacation and parental leave

Flexible working hours

Office space in SF

Job summary

Anthropic is seeking an Applied AI Engineer to act as a trusted technical advisor helping tech-forward companies build on the Claude Developer Platform. You will lead deep technical engagements, guiding customers on implementation, agent design, and scalable architectures.

You will collaborate with Applied AI Architects, Account Executives, and Product/Engineering teams to develop evaluation frameworks, architecture diagrams, and practical resources that enable customers to succeed with Claude.

Qualifications

• 4+ years as a software engineer or technical founder.
• Experience in customer-facing or pre-sales technical role.
• Production experience building LLM-powered applications.
• Strong Python development skills.
• Experience with high-growth tech companies.
• Ability to context-switch across industries.
• Builder credibility with technical founders and engineers.
• Strong technical communication skills.
• Experience facilitating technical workshops or events.
• Passion for safe and beneficial AI.

Responsibilities

• Serve as a deep technical advisor to high-growth, tech-forward companies.
• Work hands-on with customer engineering teams: pair programming, architecture reviews, code contributions.
• Develop prototypes and technical documentation including evaluation suites and architecture diagrams.
• Collaborate with Applied AI Architects to maintain context across engagements.
• Identify patterns across engagements and share insights with 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, and developer-focused events.
• Travel to customer sites for workshops and implementation support.

Skills

Software Engineer

Forward Deployed Engineer

Customer-facing roles

Python programming

LLM applications

High-growth tech

Cross-industry context-switch

Technical credibility

Technical communication

Workshops & events

Safety-focused AI

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 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

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.