Job Overview
We are seeking a skilled Front End AI Engineer to lead the front-end architecture for advanced AI systems, including conversational interfaces, agent control panels, automation dashboards, and embedded AI workflows.
* Owning the front-end strategy and implementation for AI-powered products and interfaces.
* Building high-quality React applications using TypeScript, modular component architectures, and modern state management patterns.
* Designing reusable component libraries tailored for AI interfaces, including chat interfaces, agent dashboards, workflow builders, analytics panels, and data visualization.
Responsibilities
1. Front End Architecture and Development:
* Own the front-end strategy and implementation for AI-powered products and interfaces.
* Build high-quality React applications using TypeScript, modular component architectures, and modern state management patterns.
* Experience with design and Figma.
* Use AI-enhanced development tools such as Cursor and Claude Code to accelerate development, improve quality, and maintain consistency across projects.
* Design reusable component libraries tailored for AI interfaces, including chat interfaces, agent dashboards, workflow builders, analytics panels, and data visualization.
* Ensure UX clarity when surfacing complex AI behavior, including agent states, reasoning paths, confidence indicators, and human-in-the-loop controls.
* Coordinate with the backend and AI engineering teams to integrate REST APIs, WebSockets, vector search endpoints, automation pipelines, and generative model outputs.
* Lead code reviews, establish front-end standards, and mentor engineers on best practices in AI-driven front-end development.
2. Ai Interface Development:
* Build 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.
* Work with designers to translate conceptual AI workflows into intuitive user flows and polished UI.
* Collaborate with the AI engineering team to improve prompt workflows, data capture, and human override safety controls from the front-end layer.
3. 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.
* Help clients understand interface possibilities and guide them toward the most effective implementation strategies.
* Ensure that front-end systems meet client needs around reliability, accessibility, and performance.