Front End AI Engineer Position Overview
We are seeking a skilled professional to lead the front-end architecture for advanced AI systems, including conversational interfaces, agent control panels, automation dashboards, and embedded AI workflows for client deployments. The ideal candidate will have expertise in building high-quality, production-ready interfaces for AI-powered applications and be fluent in 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 role where you will serve as the point person for all front-end initiatives across multiple client projects. You will collaborate closely with our AI, automation, and product teams to translate complex agentic and generative AI capabilities into intuitive, reliable, and high-performance user experiences.
Key Responsibilities:
* 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.
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.
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.
Qualifications:
* 5+ years of professional experience as a front-end engineer.
* Expert-level proficiency in React and TypeScript.
* Design experience and using tools like Figma.
* Demonstrated experience owning complex front-end applications from architecture through deployment.
* Comfortable with AI-enhanced coding tools such as Cursor, Claude Code, and related platforms.
* Familiarity with building AI-enabled interfaces, including chat UIs, real-time dashboards, visual workflows, or similar components.
* Strong experience with API integration, authentication, and state management patterns.
* Ability to work independently, set technical direction, and mentor less experienced developers.
* Strong UX instincts and the ability to translate technical AI functionality into clear and usable interfaces.
Benefits:
* Competitive compensation structure with performance incentives.
* Flexible remote or hybrid work environment.
* Opportunity to shape the front-end architecture for cutting-edge AI systems across multiple industries.
* High-impact work with clients committed to modernization and operational transformation.
Preferred Qualifications:
* Experience building interfaces for LLM-powered systems, automation workflows, or agent-based applications.
* Familiarity with vector databases, embeddings, or retrieval augmented UIs.
* Experience with streaming updates, event-driven front-end patterns, or real-time systems.
* Background in building interfaces for enterprise clients or complex operational environments.
* Experience collaborating with AI engineers on prompt workflows and agent control features.