Job Description
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At Atolio, we are a fully remote, well-funded startup founded by experienced leaders from Splunk and PagerDuty. We’re on a mission to make organizational knowledge instantly accessible regardless of which app, service, or platform it lives in. We’re an early series startup combining cutting-edge machine learning and AI to solve some of the most complex challenges in enterprise search: indexing, retrieval, and scaling across multi-cloud infrastructure (AWS, GCP, Azure). With a collaborative culture, robust tools, and comprehensive benefits, Atolio is a place where innovation and creativity thrive.
The Role
We're looking for a UI Engineer to help design and build the next generation of user experiences at Atolio. You'll work closely with product, design, and engineering teams to create intuitive, high-performance applications that power AI-driven workflows.
This is a hands-on engineering role focused on building complex web applications, frontend architecture, and user-facing product experiences. You'll contribute across the full product development lifecycle, from technical design and implementation to performance optimization and user experience improvements.
You'll join a modern engineering environment that embraces the latest technologies, AI-assisted development workflows, and rapid iteration.
Key Responsibilities
Design and build high-quality user interfaces for complex web applications for responsive platforms like desktop and mobile.
Develop scalable frontend architecture and reusable component systems.
Collaborate closely with product managers, designers, and backend engineers to deliver end-to-end features.
Build user experiences that leverage AI and agent-driven workflows.
Use modern AI-assisted and agentic coding tools to improve development velocity and code quality.
Participate in technical design discussions, architecture reviews, and engineering planning.
Optimize application performance, accessibility, responsiveness, and usability.
Contribute to frontend standards, best practices, and code reviews.
Help shape the future direction of our product and user experience.
Requirements
5+ years of professional software engineering experience with a strong focus on frontend development.
Experience building modern web applications using React, Vue, Angular, or a similar frontend framework.
Strong proficiency with JavaScript and TypeScript.
Experience designing and implementing scalable frontend architecture.
Strong understanding of component-based development and state management patterns.
Experience working closely with product and design teams.
Familiarity with AI-assisted development tools and modern engineering workflows.
Experience with modern build tooling such as Vite.
Experience writing and maintaining end-to-end tests with Playwright, Cypress, or similar frameworks.
Strong communication and collaboration skills.
Ability to thrive in a fast-moving startup environment.
Nice to Have
Experience with Svelte or interest in learning it quickly.
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Atolio
View Company ProfileAtolio (operating at atolio.com) is an AI-powered enterprise search platform engineered for security-conscious organizations. Founded in 2019 by veterans of Splunk and PagerDuty, Atolio specializes in enabling enterprises to harness large language models (LLMs) for private, on-premise knowledge discovery—avoiding the risks of cloud-based search solutions that expose sensitive data. Unlike traditional search tools that rely on third-party infrastructure, Atolio keeps all data within the customer’s cloud while delivering intelligent, context-aware answers. Under the hood, its platform indexes and correlates data across disparate enterprise applications (e.g., Slack, Salesforce, or internal databases) using proprietary AI models, ensuring compliance and sovereignty. This allows global enterprises—from the U.S. Air Force to Fortune 500 firms—to securely query their institutional knowledge without exposing proprietary information. Backed by $24M in Series A funding, Atolio positions itself as the foundational AI solution for organizations prioritizing data privacy and operational efficiency.
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