Build demos and reusable tooling for AI capabilities at Anthropic, ensuring accuracy and reliability in customer-facing presentations.
Posted by employer 15 hours ago
First seen on Joblaze 2 hours ago
Last verified on the company career page 2 hours ago
Skills & Technologies
What you'll build
- Own demo readiness for new and priority Claude capabilities
- Build prototypes, agents, and reference flows
- Turn recurring requests into reusable accelerators
- Build internal agentic systems for demo preparation
- Translate patterns from customer-facing work into product feedback
Must have
- Proficiency in Python or TypeScript
- Hands-on experience building applications on LLM APIs
- Experience designing integrations with third-party APIs
- Clear communication of technical concepts
- Experience in demo engineering or related roles
Nice to have
- Experience with Claude Code or Agent SDK
- Experience building evaluation harnesses for AI systems
- Front-end or product design skills
- Experience supporting product launches
- A history of turning field feedback into product input
Practical constraints
- Currently, we expect all staff to be in one of our offices at least 25% of the time
Requirements
- Education
- Bachelor's degree
- Visa
- Sponsorship available
Not disclosed in this posting: years of experience.
Benefits
Joblaze summary
In the role of Applied AI Demo Engineer at Anthropic, the individual will focus on creating and refining demos that showcase the capabilities of AI models, ensuring they are accurate and user-friendly. Proficiency in Python or TypeScript, along with experience in building applications on LLM APIs, is essential for success in this position. This role is well-suited for candidates with a background in demo engineering or solutions engineering, who can navigate both technical and customer-facing environments. Anthropic emphasizes collaboration across teams, making this a pivotal role in bridging product development and customer engagement.
Joblaze insights
- Listed today — first seen on Joblaze October 20, 2026. Last confirmed on Anthropic's careers page October 20, 2026.
- Salary band is above the typical range for AI/ML roles (median ~$190,000).
- Starts above 93% of 111 comparable mid ai/ml roles in United States that list Python we track (median $150,000 across 48 companies). See Python salary trends
- Python appears in 46.2% of 470 comparable mid ai/ml roles in United States; Claude Code appears in 0.6% of 470 comparable mid ai/ml roles in United States.
Quick facts
- Is the Applied AI Demo Engineer role remote?
- It's hybrid — Anthropic expects some on-site time in San Francisco, CA, United States.
- What's the salary range?
- Anthropic lists $240,000–$315,000 for this role.
- Where is the role based?
- Anthropic is hiring for this position in San Francisco, CA, United States.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: Claude Agent SDK, Claude Code, LLM APIs, Model Context Protocol, Plugins, Python.
- Does Anthropic sponsor work visas for this role?
- Yes — the posting indicates visa sponsorship is available for the right candidate.
- What seniority level is this role?
- Anthropic targets mid-level candidates for this position.
- Is this full-time or contract?
- Full-time for this Applied AI Demo Engineer role at Anthropic.
From the original posting
About Anthropic
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 the demos, reference implementations, and reusable tooling that help those teams make new capabilities tangible, relevant, and trustworthy, ideally within days of a product launch rather than weeks after.
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. You'll work closely with Product, Engineering, Marketing, Operations, and our sales and solutions teams, and you'll bring what you learn from customer-facing work back to the people building the products.
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. Success in this role looks like customer-facing teams demonstrating new capabilities sooner and with more confidence, recurring requests becoming reusable assets rather than one-off projects, and field insights shaping product and launch-readiness decisions.
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
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 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 listed below.
Logistics
Standard company text repeated across Anthropic's postings is omitted here.