Job Description
The Front End AI Engineer will spearhead the front-end architecture for cutting-edge AI systems, encompassing conversational interfaces, agent control panels, automation dashboards, and embedded AI workflows for client deployments.
This role focuses on crafting high-quality, production-ready interfaces for AI-powered applications using modern React, highly skilled in TypeScript, comfortable working across design systems, and efficient with AI-assisted development tools such as Cursor and Claude Code.
This is a senior-level position where you will serve as the key point person for all front-end initiatives across multiple client projects.
* Front End Architecture and Development:
o Own the front-end strategy and implementation for AI-powered products and interfaces.
o Build high-quality React applications using TypeScript, modular component architectures, and modern state management patterns.
o Experience with design and Figma.
o Utilize AI-enhanced development tools such as Cursor and Claude Code to accelerate development, improve quality, and maintain consistency across projects.
o Create reusable component libraries tailored for AI interfaces, including chat interfaces, agent dashboards, workflow builders, analytics panels, and data visualization.
o Ensure UX clarity when surfacing complex AI behavior, including agent states, reasoning paths, confidence indicators, and human-in-the-loop controls.
o Coordinate with the backend and AI engineering teams to integrate REST APIs, WebSockets, vector search endpoints, automation pipelines, and generative model outputs.
o Lead code reviews, establish front-end standards, and mentor engineers on best practices in AI-driven front-end development.
Required Skills and Qualifications
AI Interface Development:
* Construct highly responsive conversational UI components for voice and text-based agents.
* Develop systems to visualize agentic operations, multi-step workflows, and tool usage.
* Implement secure user authentication and permissions for client-facing AI dashboards.
* Collaborate with designers to translate conceptual AI workflows into intuitive user flows and polished UI.
* Work with the AI engineering team to improve prompt workflows, data capture, and human override safety controls from the front-end layer.
Cross-Functional Collaboration
Serve as the primary owner and technical authority for front-end delivery across all AI engagements.
Work closely with product managers, designers, AI engineers, and automation specialists to define scope and translate requirements into clear front-end plans. Ensure that front-end systems meet client needs around reliability, accessibility, and performance.