Applied AI Engineer at Anthropic

May no longer be active — verify on the employer site

At a glance

Company
Anthropic
Location
London, UK, United Kingdom
Employment type
Full-time
Experience
2–5 years
Working hours
40 hours
Posted
Added to The Stack

✨ The Stack take on this Anthropic job

  • 🏢 Anthropic has 53 jobs here, 36 with visa sponsorship see all
  • 🛂 Skilled Worker visa. Standard minimum salary: £41,700 a year guide
  • 💡 No salary shown. Ask Anthropic if it is above the minimum.

Updated 2026-11-05, from our data and official sources.

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About the role

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—£240,000 GBP LOGISTICS Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience. 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. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers [http://anthropic.com/careers] directly for confirmed position openings. 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 [https://www.anthropic.com/candidate-ai-guidance] for using AI in our application process

Responsibilities

The role involves serving as a deep technical advisor to high-potential startups, partnering directly with their engineering teams to build innovative use cases on the Claude Developer Platform. Responsibilities include developing prototypes, technical documentation, custom evaluation frameworks, and contributing insights back to internal Product and Engineering teams.

Requirements

Candidates should have 4+ years of experience as a Software Engineer, Forward Deployed Engineer, or technical founder, with production experience building LLM-powered applications covering prompting, agent architectures, and scaling. Strong proficiency in Python and the ability to context-switch across various industries are essential for earning trust with technical founders.

Key skills

  • LLM Application Development — in 7 other listings on The Stack
  • Prompting — in 7 other listings on The Stack
  • Context Engineering — in 12 other listings on The Stack
  • Agent Architectures — in 19 other listings on The Stack
  • Evaluation Frameworks — in 14 other listings on The Stack
  • Python — in 1200 other listings on The Stack
  • Software Engineering — in 194 other listings on The Stack
  • Technical Advising — in 2 other listings on The Stack
  • Architecture Design
  • Technical Communication
  • Workshop Facilitation
  • Startup Experience
  • Product Shipping

On The Stack (as of 2026-11-05)

Frequently asked questions about Anthropic

Is this Applied AI Engineer role still open?

It was posted on 2026-03-12. Listings more than 30 days old may no longer be active, so check Anthropic's site before applying.

Where is this role located?

The listing gives the location as London, UK, United Kingdom.

What skills does this role ask for?

The listing names: LLM Application Development, Prompting, Context Engineering, Agent Architectures, Evaluation Frameworks, Python, Software Engineering, Technical Advising, Architecture Design, Technical Communication, Workshop Facilitation, Startup Experience, Product Shipping.

All roles at Anthropic

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