Senior UI Web Application Engineer

Reposted 16 Days Ago
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Santa Clara, CA
In-Office
140K-170K Annually
Senior level
Artificial Intelligence • Fintech • Information Technology • Productivity • Software • Conversational AI • Generative AI
Aisera: ChatGPT and AI Search for the Enterprise
The Role
Lead development of React web applications, manage shared UI systems, mentor engineers, promote best practices in performance and accessibility.
Summary Generated by Built In

Aisera is a leading provider of AI Copilot solutions, utilizing AiseraGPT and Generative AI to facilitate business transformation and drive revenue growth through a self-service model. Aisera’s AI Copilot uses industry and domain-specific LLMs to deliver human-like experiences and auto-remediate requests through AI workflows. With 400+ integrations and 1200+ prebuilt workflows, customers achieve 75%+ automation and 90% cost reduction.

Aisera has received numerous recognitions, including the following: FastCompany Best Workplaces for Innovators; Inc 5000 Award for Fastest Growth; Forbes AI50; EY Entrepreneur of the Year 2023; CNBC Upstart 100 Top Startup; Gartner Cool Vendor; Red Herring Top 100 Global Innovator; CIO Innovation Startup Award; CIO Review Top ITSM Solution; and Silicon Review 50 Most Admired Companies.

Our seasoned founding team has led companies through several prior successful startups and acquisitions. We give our employees a lot of responsibility and ownership of their work, and we hire people from a very wide range of backgrounds and experience. Our team members operate with a high degree of empathy for our customers and each other.

Join our dynamic and fast-paced team and be a part of our journey to revolutionize the industry.

The Role: 

We are looking for a Senior React Web App Engineer to drive the technical execution and team leadership of our next-generation frontend platforms. You will lead the development of reusable React components and frameworks, oversee the rollout of shared UI systems using ShadCN, and guide engineers in implementing scalable, performant web applications. This role is ideal for someone who thrives at the intersection of hands-on coding, mentorship, and driving execution across multiple teams.

This role is based out of our Santa Clara, CA office, and an Onsite interview is required as part of the process (with some flexibility to WFH).

Key Responsibilities:

  • Lead Frontend Development: Guide the hands-on development of React applications and shared component libraries with a focus on reusability, maintainability, and developer efficiency.
  • ShadCN Ownership: Own and extend our ShadCN-based component library, aligning closely with design and product teams to deliver consistent and accessible UI patterns.
  • Drive Execution: Collaborate with engineers across pods to ensure timely delivery of frontend projects, maintain code quality, and standardize patterns across applications.
  • Champion Best Practices: Promote performance optimization, accessibility (WAI-ARIA compliance) - ShadCN follows WAI-ARIA pattern.and secure coding standards in all aspects of frontend development.
  • Collaborate Cross-Functionally: Work with designers, backend developers, product managers, and platform teams to align implementation with product strategy and technical architecture.

Qualifications:

  • 5+ years of professional experience developing large-scale web applications, including architecting and delivering high-traffic, complex SPAs.
  • 5+ years experience in frontend development with a strong focus on React and TypeScript.
  • Deep hands-on experience building and leading projects with ShadCN
  • js Fullstack experience and Claude Code, Cursor AI vibe coding
  • Strong knowledge of SOLID principles, object-oriented and functional design patterns, and clean architecture approaches.
  • Track record of building scalable SPAs and modular component systems in production.
  • Strong knowledge of frontend performance tuning, testing strategies (Jest, Playwright), and developer tooling (Vite, TurboRepo, ESLint, Storybook).
  • Experience with state management (Redux, Zustand, or others) and modern UI patterns (Provider, Composite, Summary, etc.).
  • Experience with data fetching mechanisms (restful API, GraphQL, WebSockets,gRPC) and related libraries (Axios, TanStack Query, Apollo, SocketIO, etc.)
  • Experience with different styling patterns/framework (CSS modules, SCSS, CSS-in-JS, Tailwind, etc.)
  • Proficient in accessibility standards and responsive UI development.
  • Demonstrated ability to lead teams through complex frontend initiatives and architectural transitions.
  • Bachelor’s or Master’s degree in Computer Science, required.

Preferred Qualifications:

  • Familiarity with dynamic/meta-driven UI or internal app frameworks.
  • Strong eye for design consistency and user experience quality.
  • Contributions to open-source projects or frontend communities, especially around React or design systems.
  • Background working in a platform or internal tools team is a plus.

Aisera is Global and our success draws upon the diverse viewpoints, skills and experiences of our employees. We are proud to be an equal opportunity employer and are committed to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or veteran status.

#LI-NV1

At Aisera, we strive to design equitable and explainable compensation programs. Base pay within the range is ultimately determined by a candidate's skills, expertise, or experience.

Bay Area, CA
$140,000$170,000 USD

Top Skills

Apollo
Axios
Css Modules
Css-In-Js
Eslint
GraphQL
Grpc
JavaScript
Jest
Playwright
React
Redux
Restful Api
Scss
Shadcn
Socketio
Storybook
Tailwind
Tanstack Query
Turborepo
Typescript
Vite
Zustand
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The Company
HQ: Palo Alto, CA
265 Employees
Year Founded: 2017

What We Do

Aisera is a leading provider of enterprise Generative AI apps and a platform that helps enterprises accelerate revenue growth, improve user productivity, lower costs, and create magical user experiences.

Our products - AiseraGPT, AI Copilot, AI Search, and Agent Assist - are built on our Generative AI Platform that serves as the fundamental building block for enterprise GenAI applications. Aisera leverages a TRAPS framework (Transparent, Responsible, Auditable, Privacy, and Secure) to meet stringent data governance requirements while adhering to the highest standards of Responsible AI.

Aisera products deliver human-like interactions with a multi-modal interface, providing contextually rich conversations that boost user productivity. With pre-trained, domain-specific LLMs grounded in customer data, our products offer higher accuracy, fewer hallucinations, and increased resolution rates. They address critical industry challenges, spanning a wide range of solutions, including AI-driven software engineering, code generation, content and knowledge creation, workflow automation, and natural language AI-powered analytics.

AiseraGPT automates knowledge retrieval and repetitive tasks, while AI Copilot serves as a personal companion for answering questions, analyzing data, and completing tasks. Agent Assist provides real-time assistance for agents, including case summarization, recommendations, and next best actions, through an embedded UI widget in SaaS applications like ServiceNow, Salesforce, Workday, and more. Aisera’s AI Search allows users to perform secure, private, and permissions-aware enterprise-wide searches using natural language, generating answers, summaries, and micro-actions to boost efficiency.

Aisera provides a Universal Bot with a unified interface to resolve user requests across all domains, including Engineering, HR, IT, Sales, Marketing, Customer Service, Life Sciences, Healthcare, Financial Services, and Retail. Aisera compliments these offers with action bots that are built-in with customizable AI Workflows through an Event and Visual Studio to take action and automate business processes.

Aisera technology is based on an Agentic and reasoning architecture that can perform intentless and intent-driven natural language requests across unstructured and structured databases, business apps, and systems of records. Users benefit from a default large context window, personalized responses, and summarizations.

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