Applied AI Demo Engineer
Works directly with LLMs and agent SDKs (Claude/Claude Agent SDK/MCP) to prototype and ship demos—fast AI prototyping and building agentic internal tools.
About the Role
Build demos, prototypes, and reusable tooling that make Anthropic's Claude capabilities tangible and reliable for customer-facing teams, delivering working reference implementations quickly and turning recurring requests into scalable assets. The role spans product engineering, technical storytelling, and GTM execution, owning demo readiness end-to-end and feeding field insights back into product and engineering.
Job Description
Role
As an Applied AI Demo Engineer you will create demos, prototypes, agents, and reference implementations that showcase Claude capabilities to customers and internal GTM teams. You will own demo readiness end-to-end — from rapid prototyping of ambiguous capabilities to hardening reliable, reusable assets that scale across sales, solutions, and customer-facing teams.
Key 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 map complex capabilities to clear customer outcomes.
- Turn recurring requests into reusable accelerators (companion apps, templates, Skills, plugins, self-service demo packages).
- Partner with GTM, Product, Engineering, Marketing, and Operations to unblock technical gaps and identify repeatable patterns.
- Build internal agentic systems that automate demo preparation, validation, and asset maintenance so demos stay current.
- Translate customer-facing 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 to build bespoke solutions versus shared capabilities.
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.
- Ability to take ambiguous capabilities or customer needs to a working prototype quickly and then make them reliable.
- Clear communication of technical concepts to both technical and non-technical audiences.
- Comfortable 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 roles.
- Track record of building reusable internal tools, templates, or self-service assets.
- Hands-on experience with Claude Code, the Claude Agent SDK, the Model Context Protocol (MCP), Skills, or plugins.
- Experience building evaluation/validation harnesses for AI systems, including reliability checks and graceful fallbacks.
- Experience building always-on or scheduled agentic systems that automate internal workflows and synthetic or sanitized datasets for demos.
- Front-end or product design skills to make demos polished and intuitive.
- Experience supporting product launches and turning field feedback into product input.
Logistics
- Minimum education: Bachelor’s degree or equivalent combination of education/training/experience.
- Minimum years of experience: will correlate with internal job-level requirements.
- Location-based hybrid policy: staff are expected to be in one of Anthropic’s offices at least 25% of the time.
- Visa sponsorship: Anthropic does sponsor visas where feasible.
- Annual salary range provided: $240,000 – $315,000 USD.