Applied AI Demo Engineer

The role

You will build demos, reference implementations, and reusable tooling to make new capabilities tangible and trustworthy. You will own ambiguous problems from prototyping agentic experiences to hardening them into reliable tools. You will work across product, engineering, marketing, and sales teams.

What you will do

• Own demo readiness for new and priority Claude capabilities
• Build prototypes, agents, and reference flows
• Turn recurring requests into reusable accelerators like companion apps and templates
• Partner with GTM colleagues on high-impact customer moments
• Build internal agentic systems to automate demo preparation and maintenance
• Translate customer-facing patterns into product feedback
• Define and raise the bar for demo quality
• Decide when a customer need calls for a bespoke build or a shared capability

Required qualifications

• Proficiency in Python or TypeScript
• Experience shipping working software end to end
• Hands-on experience building applications or agents on top of LLM APIs
• Experience designing integrations with third-party APIs, data sources, and services
• Ability to take an ambiguous capability to a working prototype quickly
• Clear communication of technical concepts to technical and non-technical audiences
• Comfort collaborating across Product, Engineering, Marketing, Operations, and GTM teams
• Experience in a demo engineering, solutions engineering, sales engineering, forward deployed engineering, developer relations, or product engineering role
• Track record of building reusable internal tools, templates, or self-service assets
• Bachelor’s degree or an equivalent combination of education, training, and/or experience
• Field of study relevant to the role as demonstrated through coursework, training, or professional experience

Nice to have

• Hands-on experience with Claude Code, the Claude Agent SDK, the Model Context Protocol (MCP), Skills, or plugins
• Experience building evaluation or validation harnesses for AI systems
• Experience building always-on or scheduled agentic systems
• Experience building synthetic or sanitized datasets
• Front-end or product design skills
• Experience supporting product launches or running launch-readiness programs
• A history of turning field feedback into concrete product input

Benefits

• Competitive compensation
• Optional equity donation matching
• Generous vacation
• Parental leave
• Flexible working hours
• Office space

Before you apply

• We do sponsor visas, but not for every role or candidate

About the company

Anthropic is a public benefit corporation headquartered in San Francisco. Its mission is to create reliable, interpretable, and steerable AI systems.