Senior UI Engineer for AI Agents & UI Components

Quantum Technologies. LLC; Austin, Northern (TX, KY); Hybrid; USD 120,000 - 180,000; Full time

Job summary

Quantum Technologies LLC is seeking a frontend-focused engineer to explore cross-platform component libraries, build proof-of-concept apps, and evaluate features and limitations. You will design and extend an MCP server built on component libraries, architect multi-step AI agents, and ensure reliability, scalability, and cost-efficiency in high-volume environments.

The role requires delivering technical analyses comparing frameworks and actionable recommendations, with an emphasis on

Qualifications

• Deep knowledge of frontend web technologies and programming languages.
• Experience producing technical analyses and recommendations on technology choices.
• Comfortable with AI technologies; able to create MCP servers and AI agents from scratch.
• Self-driven, with a track record of delivering robust, scalable solutions.

Responsibilities

• Investigate cross-platform component library technologies and build proof-of-concept applications to evaluate their features and limitations.
• Implement and enhance a component library-based MCP (Model Context Protocol) server.
• Architect and develop multi-step AI agents that integrate with UI component libraries and frameworks.
• Ensure AI agents are reliable, scalable, and cost-optimized for high-volume environments.
• Produce comprehensive technical analyses comparing frameworks and provide actionable recommendations.
• Work independently to deliver high-quality, well-tested code.

Job description

Quantum Technologies LLC is seeking a frontend-focused engineer to explore cross-platform component libraries, build proof-of-concept apps, and evaluate features and limitations. You will design and extend an MCP server built on component libraries, architect multi-step AI agents, and ensure reliability, scalability, and cost-efficiency in high-volume environments.

The role requires delivering technical analyses comparing frameworks and actionable recommendations, with an emphasis on