Applied AI Engineer
Anthropic
Job Overview
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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 on the Startups team at Anthropic, you will be a trusted technical advisor helping the top AI-native startups build on the Claude Developer Platform as they grow from early product to scale. You'll lead deep technical engagements, partnering directly with startup 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 startups 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 startups to succeed with Claude.
Responsibilities
- Serve as a deep technical advisor to high-potential startups, working alongside them to build innovative use cases that push the boundaries of AI
- Work hands-on with startup 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 startups 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 startup audiences including documentation, tutorials, and sample code
- Foster community engagement through hackathons, webinars, technical office hours, and startup-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
- 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 with startups or high-growth companies
- Ability to context-switch across industries (healthcare, fintech, etc.) and use cases
- Builder credibility that earns trust with technical founders and engineering teams—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
Key skills/competency
- LLM application development
- Python programming
- Agent architectures
- Evaluation frameworks
- Technical advising
- Startup experience
- Scalable architecture design
- Prototyping
- Technical communication
- Community engagement
How to Get Hired at Anthropic
- Research Anthropic's mission: Study their commitment to creating reliable, interpretable, and steerable AI systems, and align your application with these core values.
- Showcase LLM expertise: Highlight production experience with large language models, including prompting, context engineering, and agent architectures, preferably with Claude or similar platforms.
- Emphasize startup experience: Demonstrate your ability to work effectively with high-growth startups, including hands-on collaboration, architecture reviews, and code contributions.
- Detail technical advisory skills: Provide examples of translating complex AI concepts into actionable implementation plans and guiding engineering teams through product development.
- Tailor your resume: Customize your resume and cover letter to reflect keywords like Python proficiency, evaluation frameworks, scalable architectures, and technical content creation relevant to Anthropic.
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