# Applied AI Demo Engineer

**Company**: Anthropic
**Location**: San Francisco, CA
**Work arrangement**: hybrid
**Experience**: senior
**Job type**: full-time
**Salary**: $240,000-$315,000 USD
**Category**: Engineering
**Industry**: Technology
**Wikidata**: https://www.wikidata.org/wiki/Q116758847

**Apply**: https://job-boards.greenhouse.io/anthropic/jobs/5455961008?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_28525566-e64

## Description

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 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. You'll own ambiguous, high-leverage problems end to end: prototyping an agentic experience for a new capability, then hardening it into something reliable that other teams can run on their own.

## 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 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

## Requirements

- 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

- 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

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

- A passion for making powerful technology safe and beneficial, and a commitment to representing model capabilities accurately and honestly

The annual compensation range for this role is $240,000-$315,000 USD.

## Skills

### Required
- Python
- TypeScript
- LLM APIs
- prompting
- tool use
- retrieval
- third-party APIs
- data sources
- services
- demo engineering
- solutions engineering
- sales engineering
- forward deployed engineering
- developer relations
- product engineering

### Nice to have
- Claude Code
- Claude Agent SDK
- Model Context Protocol (MCP)
- Skills
- plugins
- evaluation or validation harnesses
- AI systems
- reliability checks
- graceful fallbacks
- agentic systems
- synthetic or sanitized datasets
- front-end or product design

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/anthropic/jobs/5455961008?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)