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Beacon AI

AI-powered aviation safety and efficiency assistant

Frontend Web App Engineer - Frontend/Web App

Frontend EngineeringPosted on Nov 9
Full-timeSan Carlos, CA, USA$135k - $168k /yr

About the Job

Requirements

  • At least 2 years of experience building user-facing web applications, or equivalent experience through internships, projects, or coursework.
  • Experience with React, TypeScript, JavaScript, state management, and modern web standards including HTML and CSS.
  • Familiarity with asynchronous frontend patterns and working with APIs or data streams.
  • Ability to work effectively in a collaborative, fast-moving environment.
  • Attention to code quality, performance, and maintainability.
  • Due to U.S. export control regulations, applicants must be U.S. citizens, Green Card holders, lawful permanent residents, or individuals granted asylum or refugee status; all work must be performed in the United States.

Responsibilities

  • Design and implement React-based features for web applications that work with real-time and historical aviation data.
  • Integrate, process, and visualize data from multiple sources, including live streams and archived datasets.
  • Collaborate with backend engineers, product managers, and UX/UI designers on feature design and implementation.
  • Contribute to code reviews and follow established frontend best practices and architectural patterns.
  • Help ensure frontend systems are reliable and maintainable through testing and documentation.
  • Contribute to reusable components and shared frontend libraries.

Desired Qualifications

  • Experience with mapping or geospatial tools such as Mapbox or Cesium.
  • Exposure to live data or video streaming concepts.

About the Company

Beacon AI

AI-powered aviation safety and efficiency assistant

Beacon AI develops aviation technology that uses an AI Assistant to support pilots in the cockpit. The AI Assistant integrates with cockpit workflows to help with checklists, configuration management, safety systems, procedures, route optimization, and performance calculations. The company differentiates itself with leadership that combines aviation and self-driving car software expertise, enabling a cross-disciplinary approach to flight operations. Its goal is to reduce risk and boost efficiency for both commercial and private fleets by augmenting pilots and lowering workload.

Company size
11-50
Company stage
Series A
Total funding
$17.6M
Headquarters
San Carlos, CA
Founded
2021

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