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.