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About the Role
As an Applied AI Engineer, you will be a trusted technical advisor helping tech-forward companies build on the Claude Developer Platform. You'll lead deep technical engagements, partnering directly with engineering teams to help them develop their products on top of Claude, advising on implementation and agent design.
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
Skills
- Python
- LLM-powered applications
- Prompting
- Context engineering
- Agent architectures
- Evaluation frameworks
- Deployment at scale
Location
- San Francisco
Work Type
- Hybrid
Experience Level
- 4+ years of experience
Education Level
- Bachelor’s degree or an equivalent combination of education, training, and/or experience
Salary/Compensations
- £225,000—£255,000 GBP
Benefits
- Competitive compensation and benefits
- Optional equity donation matching
- Generous vacation and parental leave
- Flexible working hours
- Visa sponsorship
About the Company
- 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.
- 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.
- 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.
- We greatly value communication skills.
- Anthropic is a public benefit corporation headquartered in San Francisco.
Equal Opportunity
- 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.