Applied AI Engineer, Startups
Anthropic · 🇬🇧 London, United Kingdom
Sponsorship Verification Proof
Employer is on the UK Home Office register of licensed sponsors.
UK Home Office Register of Licensed Sponsors (Skilled Worker route): listed as 'Anthropic Limited', London — Skilled Worker; Worker (A rating)
An official government register match confirms the employer holds an active sponsor licence in this country. It does not guarantee that every individual role meets minimum salary or skill thresholds — always confirm sponsorship eligibility with the recruiter.
The job posting also states: “Visa sponsorship: We do sponsor visas!”
- Verification category
- Employer on official sponsor register
- Role category
- ML / AI
- Last verified
- 2026-10-25
- First indexed
- 2026-10-25
- Posted date
- 2026-09-23
- ATS / Feed source
- Greenhouse job board
Role Description (Excerpt)
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…
Excerpt only — read the full requirements and apply directly on Anthropic's career page. We do not process applications.