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Apiphany

AI-driven extraction from unstructured documents

Senior / Staff Frontend Engineer

Frontend EngineeringConfirmed live in the last 24 hours
Full-timeSan Francisco, CA, USA

About the Job

Requirements

  • Have 3–5+ years of experience in TypeScript, JavaScript, and React.
  • Have a deep understanding of React internals, rendering performance, and state management patterns such as Redux, Zustand, or similar.
  • Have experience designing and developing data visualization dashboards using D3, visx, or equivalent frameworks.
  • Have proven experience in frontend system design, architecture, and optimization.
  • Have experience developing component libraries and design systems such as Storybook or similar.
  • Have experience mentoring engineers, leading technical discussions, and guiding long-term architectural decisions.

Responsibilities

  • Design, build, and refine the web application.
  • Implement high-quality UI components and build the next generation of data visualization.
  • Ensure optimal performance and maintain best practices in frontend development.
  • Help shape the long-term frontend strategy, mentor teammates, and establish engineering best practices that will scale with the company.
  • Collaborate with design, backend, and machine learning engineers to make massive data streams intuitive and actionable for users and deliver a seamless experience.

About the Company

Apiphany

AI-driven extraction from unstructured documents

Apiphany provides an AI-powered platform that extracts key information from unstructured documents such as invoices, contracts, and reports. It uses artificial intelligence, machine learning, and natural language processing to understand document context and pull relevant data into structured formats, automating data entry and reducing errors. The system integrates with existing business workflows and continuously learns from new data to improve accuracy, while prioritizing security and regulatory compliance across industries. Its goal is to help businesses save time and cut costs by turning unstructured data into actionable, decision-support information.

Company size
11-50
Company stage
Not listed
Total funding
Not listed
Headquarters
San Francisco, CA
Founded
2023

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