Applied AI Demo Engineer

San Francisco, CA | New York City, NY · San Francisco · USD 240,000-315,000 / year · Hybrid · Posted Oct 19, 2026

At a glance

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.

As a Demo Engineer, you'll build the demos, reference implementations, and reusable tooling that help customer-facing teams make new capabilities tangible, relevant, and trustworthy.
This role sits between product engineering, technical storytelling, and GTM execution, requiring you to own ambiguous, high-leverage problems end to end.

Own demo readiness for new and priority Claude capabilities, including environments, integrations, synthetic data, evaluations, reliability checks, and fallback paths
Build prototypes, agents, and reference flows that make complex capabilities concrete and tie them to clear customer outcomes
Turn recurring requests into reusable accelerators such as companion apps, templates, Skills, plugins, and self-service demo packages that scale across customer-facing teams
Partner with GTM colleagues on high-impact customer moments, unblock critical technical gaps, and spot the patterns worth turning into shared assets
Build internal agentic systems that automate demo preparation, validation, and asset maintenance, so demos stay current as products change
Translate patterns from customer-facing work into product feedback, launch-readiness priorities, and systemic improvements with Product and Engineering
Define and raise the bar for demo quality across accuracy, safety, reliability, usability, and adoption
Decide when a customer need calls for a bespoke build and when it should become a shared capability

Proficiency in Python or TypeScript, with experience shipping working software end to end
Hands-on experience building applications or agents on top of LLM APIs, including prompting, tool use, and retrieval
Experience designing integrations with third-party APIs, data sources, and services
The ability to take an ambiguous capability or customer need to a working prototype quickly, and then make it reliable
Clear communication of technical concepts to both technical and non-technical audiences, including sales and solutions teams
Comfort collaborating across Product, Engineering, Marketing, Operations, and GTM teams
Bachelor's degree or an equivalent combination of education, training, and/or experience
A field relevant to the role as demonstrated through coursework, training, or professional experience

Experience in a demo engineering, solutions engineering, sales engineering, forward deployed engineering, developer relations, or product engineering role
A track record of building reusable internal tools, templates, or self-service assets that other teams adopted
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, including reliability checks and graceful fallbacks
Experience building always-on or scheduled agentic systems that automate internal workflows
Experience building synthetic or sanitized datasets that make demos realistic without exposing sensitive information
Front-end or product design skills that help demos feel polished and intuitive
Experience supporting product launches or running launch-readiness programs