UX & Front End Engineer, AI, Elastic
A.I.
$110.9-210.7k
Salary is dependent on location. This role is currently eligible to participate in Elastic's stock program
Open source platform powering search, observability, security, and more
Be an early applicant
Open source platform powering search, observability, security, and more
1001+ employees
Be an early applicant
$110.9-210.7k
Salary is dependent on location. This role is currently eligible to participate in Elastic's stock program
1001+ employees
Company mission
To help turn endless data possibilities into real results with the power of Search AI.
Role
Who you are
- 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)
What the job involves
- 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
- 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
Our take
Organizations are dealing with exploding data volumes increasingly sophisticated cyber threats, and the growing expectation tha ttechnology should help act on problems, not just report them. Ai is moving from experimentation into real operations, especially in security and observability where speed and context are critical. So now, both enterprises and governments are looking for simpler, shared platforms that sale easily and reduce complexity rather than add to it.
And Elastic sits at the intersection of these needs with its Search AI Platform that helps organizations turn large amounts of structured and unstructured data into clear insights and actiontions across search, security, and observability. Elastic's strength lies in its open, flexible approach, which breaks down data silos and provides a context people and AI systems need to make daster, better decisions. The goal is straightforward: help teams see what's happening, understand it quickly, and respond confidently.
Recently, the company worked with CISA to deliver a unified, cloud-based SIEM for US federal agencies, this highlights strong trust in Elastic's security and scalability. Alongside this, its AWS Agentic AI Specialization also reflects leadership in making autonomous AI system practical and reliable. Together, these milestones position Elastic well for the future, as organizations increasingly rely on shared platforms and intelligent systems to manage ris, complexity, and growth.
Freddie
Company Specialist at Welcome to the Jungle
Insights
8% employee growth in 12 months
Company
Funding (last 2 of 4 rounds)
Jul 2016
$58m
SERIES D
Jun 2014
$70m
SERIES C
Total funding: $162m
Company benefits
- Toast to your health: Fully paid health coverage for you and your family, in many locations.
- Craft your calendar: Flexible location and schedule for most roles.
- Create space for you: Distributed by design workforce, plus generous number of vacation days each year.
- Embrace parenthood: Minimum of 16 weeks of parental leave, plus generous family formation benefits.
- Give back your time: 40 hours each year to use toward volunteering with organizations and causes you’re passionate about.
- Amplify your impact: Double your charitable giving — we match donations up to $1500 USD (or local currency equivalent).
Company HQ
Union Square, San Francisco, CA
Leadership
Ashutosh Kulkarni
(CEO)Ashutosh joined Elastic in 2021 as CPO, becoming CEO in 2022. Prior to this, he was an EVP and CPO of Enterprise at McAfee, a Senior VP and GM of Web Performance and Web Security at Akamai Technologies, and a Senior VP and GM of Informatica Cloud at Informatica.
Shay Banon
(Co-Founder & CTO)Shay co-founded Elastic in 2012 and has served as the CTO since.
Navam Welihinda
(CFO)Prior to joining Elastic in 2025, Navam was the CFO at Grammarly. He also spent nearly 8 years at HashiCorp as VP of Finance and CFO and was the Head of Finance, Compose at IBM for 1 year.
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