Applied AI Demo Engineer

Anthropic•San Francisco, NY

3d•Hybrid

About The Position

Anthropic is hiring an Applied AI Demo Engineer to help customer-facing teams demonstrate Claude’s capabilities clearly, accurately, and reliably. The role sits between product engineering, technical storytelling, and go-to-market execution. The engineer will own ambiguous, high-impact problems end to end, from rapidly prototyping agentic experiences for new capabilities to hardening them into reliable tools that other teams can operate independently. The role partners with Product, Engineering, Marketing, Operations, sales, and solutions teams. It focuses on making new product capabilities tangible soon after launch, turning recurring customer requests into reusable assets, and bringing field insights back to product and launch-readiness teams. Demo quality must prioritize accuracy and honesty alongside polish, with success measured by earlier and more confident demonstrations, reusable assets replacing one-off work, and customer insights informing product decisions.

Requirements

Proficiency in Python or TypeScript, with experience shipping working software end to end.
Hands-on experience building applications or agents on LLM APIs, including prompting, tool use, and retrieval.
Experience designing integrations with third-party APIs, data sources, and services.
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 technical and non-technical audiences, including sales and solutions teams.
Comfort collaborating across Product, Engineering, Marketing, Operations, and go-to-market teams.
Experience in demo engineering, solutions engineering, sales engineering, forward-deployed engineering, developer relations, or product engineering.
Track record of building reusable internal tools, templates, or self-service assets adopted by other teams.
Commitment to representing model capabilities accurately and honestly, and a passion for making powerful technology safe and beneficial.
Bachelor’s degree or an equivalent combination of education, training, and/or experience.
A field of study relevant to the role, demonstrated through coursework, training, or professional experience.

Nice To Haves

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.
A history of turning field feedback into concrete product input that influenced a roadmap.

Responsibilities

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 connect them to customer outcomes.
Turn recurring requests into reusable accelerators such as companion apps, templates, Skills, plugins, and self-service demo packages.
Partner with go-to-market colleagues on high-impact customer moments, resolve critical technical gaps, and identify patterns that can become shared assets.
Build internal agentic systems to automate demo preparation, validation, and asset maintenance as products change.
Translate customer-facing work into product feedback, launch-readiness priorities, and systemic improvements in collaboration with Product and Engineering.
Define and raise the bar for demo accuracy, safety, reliability, usability, and adoption.
Decide when customer needs call for bespoke builds and when they should become shared capabilities.