Frontend Engineer (Gen AI)

Key Responsibilities

• User Discovery & Workflow Design: Work directly with business users to understand goals, tasks, pain points, operating constraints, and current workflows. Translate findings into personas, journey maps, information architecture, user flows, and clear product requirements.
• Prototyping & User Validation: Create wireframes, high-fidelity designs, and interactive prototypes using tools such as Figma or coded prototypes. Facilitate usability testing, synthesize feedback, and iterate rapidly before and during implementation.
• React Frontend Engineering: Build responsive, maintainable, and production-quality web applications using React, Next.js, TypeScript, HTML, and CSS. Implement reusable components, robust state management, client-side validation, error handling, and automated tests.
• AI Interaction Design: Design interfaces for conversational, generative, and agentic experiences, including streaming responses, tool execution, progress and system status, citations, user confirmation, human review, error recovery, and clear handling of uncertainty.
• Design Systems & Accessibility: Apply and extend reusable design patterns, component libraries, and design tokens. Ensure solutions are consistent, responsive, inclusive, and aligned with applicable accessibility standards.
• Backend & Platform Integration: Collaborate closely with AI and backend engineers to shape API contracts and integrate frontend applications with authentication, databases, enterprise systems, and platform services. Build lightweight backend functionality when required.
• Quality, Performance & Security: Optimize usability, responsiveness, rendering performance, and reliability; implement unit, integration, end-to-end, and accessibility testing; and apply secure frontend practices for sensitive data and regulated environments.
• Deployment, Adoption & Handover: Own frontend delivery through production rollout, documentation, user onboarding, feedback collection, support, and knowledge transfer. Use qualitative and quantitative signals to improve user adoption and task completion.
• Field-to-Platform Feedback: Identify recurring user needs and reusable interface patterns, and feed them back into shared components and improvements to the core platform.

Qualifications

• Experience: 5+ years of experience in frontend engineering, UX engineering, interaction design with hands-on development, or a comparable product-facing role, with evidence of shipping applications used in production.
• Frontend Engineering: Advanced proficiency in React and modern JavaScript or TypeScript, with strong knowledge of component architecture, state management, responsive design, API integration, performance optimization, and automated testing.
• UI/UX Practice: Strong foundation in user-centered design, information architecture, interaction design, prototyping, usability testing, visual hierarchy, and accessible design. Proficiency with Figma or equivalent tools is required.
• Design-to-Code Capability: Demonstrated ability to translate user needs and design concepts into polished, maintainable, production-ready interfaces without relying on a separate handoff for every detail.
• Stakeholder Partnership: Strong communication, facilitation, and presentation skills, with the ability to work directly with non-technical users, uncover underlying needs, explain design and technical trade-offs, and incorporate feedback constructively.
• Product & Delivery Mindset: Comfortable working with ambiguous requirements, rapidly prototyping, testing with users, and taking ownership from discovery through rollout and continuous improvement.
• Technical Breadth: Working knowledge of backend APIs, authentication, databases, cloud environments, version control, CI/CD, and secure software development sufficient to deliver integrated applications with engineering partners.

Nice-to-Have (Bonus Points)

• Forward Deployment: Experience in consulting delivery, design engineering, solutions engineering, internal product delivery, or another role involving direct collaboration with users and end-to-end implementation.
• AI Product Experience: Experience designing or building interfaces for chatbots, copilots, agentic workflows, data-rich applications, or other AI-enabled products.
• Design Systems: Experience creating or extending component libraries and design systems, including documentation, accessibility considerations, and visual regression testing.
• Data Visualization: Experience presenting complex operational or analytical information using libraries such as Recharts, D3.js, or Chart.js.
• Regulated Environments: Experience delivering internal enterprise applications subject to stringent security, privacy, accessibility, or applicable regulatory and organizational requirements.