AI Prompt Engineer for Data & UI Systems

Madison-Davis, LLC; United States; Remote; USD 130,000 - 190,000; Full time

Job summary

Madison-Davis, LLC is seeking a hands-on Data Prompt Engineer to support our emerging data and ontology platform. You will design Claude-centered prompts, guide AI agent workflows, and integrate plugins and tools while testing UI functionality.

You will inspect AI-generated interfaces, troubleshoot issues, and collaborate with backend and data engineering teams to connect data services and models. As we progress toward an MVP, independence and strong problem-solving are essential.

Qualifications

• 4+ years of software, systems, or related engineering experience.
• Hands-on experience with Claude and AI coding agents in software development.
• Knowledge of prompt architecture, agent workflows, and tool integrations.
• Strong systems design, troubleshooting, and problem-solving abilities.

Responsibilities

• Design Claude-centered prompts, AI agent workflows, and plugin/tool integrations.
• Guide AI agents in creating, modifying, and refining application interfaces.
• Personally inspect and test generated UI functionality to identify defects and edge cases.
• Design reliable application behavior involving state management, recovery, and synchronization.
• Troubleshoot problems and refine agent instructions, software behavior, or architecture.
• Collaborate with backend and data engineering to connect interfaces with data services and models.
• Translate evolving requirements into practical engineering decisions.
• Contribute across development, design, testing, and validation as the platform progresses toward an MVP.

Skills

Claude AI tooling

AI coding agents

Prompt design

Systems thinking

Independent work

Tools

APIs

Data integration tools

Job description

Madison-Davis, LLC is seeking a hands-on Data Prompt Engineer to support our emerging data and ontology platform. You will design Claude-centered prompts, guide AI agent workflows, and integrate plugins and tools while testing UI functionality.

You will inspect AI-generated interfaces, troubleshoot issues, and collaborate with backend and data engineering teams to connect data services and models. As we progress toward an MVP, independence and strong problem-solving are essential.