Tech Stack
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
AI @ 3
API @ 3
Agentic Systems @ 3
Claude Code @ 3
Go @ 3
LLM @ 3
Marketing @ 3
Python @ 5
TypeScript @ 5
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
Anthropic is seeking an Applied AI Demo Engineer to build demos, reference implementations, and reusable tooling that help customer-facing teams demonstrate Claude capabilities quickly, accurately, and reliably. The role combines product engineering, technical storytelling, and go-to-market execution. You will prototype agentic experiences, harden them into reliable tools, and translate customer-facing insights into product feedback and launch-readiness improvements.
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, including companion apps, templates, Skills, plugins, and self-service demo packages.
- Partner with go-to-market colleagues on high-impact customer engagements and resolve critical technical gaps.
- Build internal agentic systems that automate demo preparation, validation, and asset maintenance.
- Translate customer-facing patterns into product feedback, launch-readiness priorities, and systemic improvements with Product and Engineering.
- Define and improve demo quality across accuracy, safety, reliability, usability, and adoption.
- Decide when customer needs require bespoke development versus a shared capability.
Requirements
- Proficiency in Python or TypeScript and experience shipping 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 an ambiguous capability or customer need to a working prototype quickly and then make it reliable.
- Ability to communicate technical concepts clearly to technical and non-technical audiences, including sales and solutions teams.
- Experience 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.
- 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 for realistic demos 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.
- History of turning field feedback into concrete product input that influenced a roadmap.
- Commitment to representing model capabilities accurately and honestly and to making powerful technology safe and beneficial.
- Bachelor’s degree or an equivalent combination of education, training, and experience. The field of study must be relevant to the role through coursework, training, or professional experience.
Compensation
- Annual salary: $240,000–$315,000 USD.
Work Policy and Visa Support
- Hybrid policy: Staff are expected to work from one of Anthropic’s offices at least 25% of the time, with some roles requiring more office time.
- Anthropic sponsors visas for eligible roles and candidates and retains an immigration lawyer to assist with visa processes.
Benefits
Anthropic offers competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and office space for collaboration.
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