UX & Front End Engineer, AI

Elastic; United States; On-site; USD 120,000 - 180,000; Full time

Job summary

Elastic is seeking a UX Engineer to bridge AI capabilities with intuitive user interfaces across internal products and platforms. You will design and implement front-end experiences that present AI reasoning clearly, including multi-modal interactions, agent workflows, and real-time streaming outputs.

The ideal candidate brings strong expertise in React, TypeScript, and modern front-end patterns, with hands-on experience building AI-driven UX.

Qualifications

• Recent experience creating UI for GenAI applications, including conversational interfaces and dynamic prompt builders.
• Strong expertise in TypeScript, JavaScript, React, HTML5, and CSS/Sass with modular architecture.
• Experience managing streaming or real-time AI responses and asynchronous UI state.

Responsibilities

• Translate complex generative AI processes into intuitive front-end interfaces.
• Design, build, and maintain scalable UI component libraries for generative AI interactions.
• Prototype and implement novel interaction patterns for conversational AI and agent workflows.
• Optimize UI performance for real-time AI responses and streaming latency.
• Connect front-end interfaces to internal services including RAG endpoints and ESRE APIs.
• Collaborate with UX designers, PMs, and AI backend engineers to refine AI workflows.
• Ensure accessibility and alignment with Elastic's design system (EUI).
• Implement front-end analytics to monitor usage, latency, and satisfaction.

Skills

AI UX experience

React

TypeScript

JavaScript

HTML5

CSS/Sass

Front-end mastery

Tools

ESRE

Agent Builder

Workflows

Elastic UI (EUI)

Job description

Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale - unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data - securing and protecting private information more effectively - Elastic's complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI.

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 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.

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