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Elastic

Posted 7 Oct 2026

UX Engineer

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Team
IT
Posted
7 Oct 2026

About the role

What is The Role The Elastic IT team is shifting beyond standard chat interfaces to craft the next frontier of generative and agentic AI experiences. We are looking for an innovative UX & Front End Engineer to join our team to bridge the gap between powerful AI capabilities and intuitive, delightful user interfaces that accelerate productivity across the entire organization.   Our ideal candidate is a skilled front-end engineer with hands-on experience designing and building AI user experiences (e.g., streaming text, dynamic prompt workflows, agent reasoning visualizations, and multi-modal interaction patterns). In this role, you will leverage the latest AI technologies and the Elastic Stack (including ESRE, Agent Builder, Workflows and eUI) to build high-performance front-end applications for a suite of internal products and platforms. Driven by a user-centered mindset, you will act as a key collaborator between AI back-end engineers, product managers, and user groups to turn complex AI reasoning into seamless human-AI interactions. By shaping how enterprise users interact with generative AI, you will enable our global workforce while showcasing the boundary-pushing capabilities of Elastic's products.   Are you ready to design and build the interfaces that supercharge enterprise productivity and prove what’s possible with Elastic? Join us to create AI user experiences that turn collective knowledge into instant action, empowering everyone at Elastic to achieve more. What You Will Be Doing
  • AI UI/UX Design & Implementation: Translate complex generative and agentic AI processes into intuitive, responsive, and engaging front-end interfaces.
  • Front-End Architecture: Design, build, and maintain front-end UI component libraries. These libraries should be scalable, accessible, and reusable and will be created for generative AI interactions. You will use modern frameworks like React and TypeScript.
  • Human-AI Interaction Patterns: Prototype and implement novel interaction patterns for conversational AI, agent execution visibility (thought logs, tool calls), prompt systems, and rich dynamic outputs.
  • Performance & Streaming Optimization: Optimize UI performance for real-time AI responses, managing token streaming latency, async state management, and optimistic UI updates.
  • Enterprise Grounding & Integration: Connect front-end interfaces to internal services. This includes Retrieval Augmented Generation (RAG) endpoints. It also includes Elasticsearch Relevance Engine (ESRE) and agent orchestration APIs.
  • User-Centered Collaboration: Partner closely with UX designers, product managers, and AI backend engineers to iteratively test and refine AI workflows based on real user feedback.
  • Accessibility & Design Systems: Ensure all front-end interfaces strictly adhere to web accessibility standards (WCAG) and align seamlessly with Elastic's core design system (EUI).
  • AI Observability & UX Analytics: Implement front-end tracking to monitor user satisfaction, prompt effectiveness, interaction latency, and interface usability.
  • Documentation: Maintain comprehensive documentation for UI component systems, front-end architecture, and design pattern guidelines.
What You Bring 
  • Proven Success in AI UX: Recent experience creating user interfaces for GenAI applications is important. This includes working with conversational interfaces, dynamic prompt builders, and complex agent workflows.
  • Front-End Mastery: Deep expertise in modern TypeScript, JavaScript, React, HTML5, and CSS/Sass, with an emphasis on modular architecture.
  • State Management & Streaming: Deep experience managing complex asynchronous UI state, WebSockets, and Server-Sent Events (SSE) for streaming LLM responses.
  • UX/UI Design Foundations: Proficient background or active practice in user experience design, wireframing, design systems, and rapid prototyping.
  • An Appetite to Master Elastic: A solid desire to learn and leverage the Elasticsearch Relevance Engine (ESRE), Elastic UI (EUI), and the broader Elastic ecosystem.
  • AI Framework & API Integration: Experience with integrating front-end systems with AI/LLM backend services and orchestration tools (e.g., LangGraph, REST/GraphQL APIs).
  • Design System Integration: Experience extending and contributing to enterprise design systems and component documentation tools like Storybook.
  • Web Performance & Accessibility: Knowledge of web performance optimization techniques, cross-browser compatibility, and WCAG accessibility guidelines.
  • Design Tooling: Hands-on experience with modern design and handoff tools (e.g., Figma).
 

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