Applied AI Demo Engineer
Anthropic · San Francisco, CA | New York City, NY
About this role
**Applied AI Demo Engineer** **About Anthropic** Anthropic’s mission is to create reliable, interpretable, and steerable AI systems—safe and beneficial for users and society. **About the role** Anthropic’s customer-facing teams are often the first place a customer sees what Claude can do. As a **Demo Engineer**, you’ll build demos, reference implementations, and reusable tooling that help those teams make new capabilities tangible, relevant, and trustworthy—ideally within days of a product launch. This role sits between product engineering, technical storytelling, and GTM execution. You’ll own ambiguous, high-leverage problems end to end: prototype an agentic experience for a new capability, then harden it into something reliable that other teams can run on their own. Because a demo is frequently someone’s first impression of what our models can and can’t do, **accuracy and honesty matter as much as polish**. **Responsibilities** - Own demo readiness for new and priority Claude capabilities (environments, integrations, synthetic data, evaluations, reliability checks, fallback paths) - Build prototypes, agents, and reference flows that connect complex capabilities to clear customer outcomes - Turn recurring requests into reusable accelerators (companion apps, templates, Skills, plugins, self-service demo packages) - Partner with GTM colleagues on high-impact customer moments; unblock technical gaps and identify patterns worth sharing - Build internal agentic systems to automate demo preparation, validation, and asset maintenance - Translate field patterns into product feedback, launch-readiness priorities, and systemic improvements - Define and raise the bar for demo quality across accuracy, safety, reliability, usability, and adoption - Decide when a customer need requires a bespoke build vs. becoming a shared capability **You may be a good fit if you have** - Proficiency in **Python or TypeScript**, with experience shipping working software end to end - Hands-on experience building applications/agents on top of **LLM APIs** (prompting, tool use, retrieval) - Experience designing integrations with third-party APIs, data sources, and services - Ability to take an ambiguous capability/customer need to a working prototype quickly, then make it reliable - Clear communication of technical concepts to technical and non-technical audiences (including sales/solutions) - Comfort collaborating across Product, Engineering, Marketing, Operations, and GTM teams - Experience in demo engineering, solutions engineering, sales engineering, forward deployed engineering, developer relations, or product engineering - Track record building reusable internal tools/templates/self-service assets adopted by other teams - Hands-on experience with **Claude Code**, **Claude Agent SDK**, **Model Context Protocol (MCP)**, **Skills**, or **plugins** - Experience building evaluation/validation harnesses (reliability checks, graceful fallbacks) - Experience building always-on or scheduled agentic systems that automate internal workflows - Experience creating synthetic/sanitized datasets for realistic demos without exposing sensitive info - Front-end or product design skills to make demos polished and intuitive - Experience supporting product launches or running launch-readiness programs - History turning field feedback into concrete product input that influenced a roadmap - Passion for making powerful technology safe and beneficial; commitment to representing mod
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