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Mobi

Collaborative AI platform for enterprise data

Senior Frontend Engineer

Frontend EngineeringConfirmed live in the last 24 hours
Full-timeSomerville, MA, USAHybrid

About the Job

Requirements

  • A bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
  • Proficiency in HTML5, CSS3, and JavaScript (ES6+).
  • Deep practical experience with React, including component architecture, state management, and diagnosing rendering and performance issues.
  • Strong practical TypeScript skills, including type-safe component and API contracts and confidence working in an existing codebase.
  • Experience writing and maintaining reliable automated frontend tests with tools such as Playwright, Jest, or Cypress, including asynchronous behavior and failure cases.
  • Demonstrated proficiency with AI coding assistants and agents, shown through professional or substantive project work that the candidate can explain, test, and critically review.
  • Experience directing AI tools through changes across multiple files in an existing codebase, including implementation, test generation, debugging, and refactoring.
  • Strong judgment in evaluating AI-generated solutions, including explaining the code, verifying behavior, identifying errors, and recognizing when independent investigation or a different approach is needed.
  • Experience integrating frontend applications with RESTful APIs and asynchronous services, including authentication, session state, and error recovery.
  • Understanding of responsive design principles and cross-browser compatibility.
  • Experience with build tools and version control, such as Next, Vite, and Git.
  • Evidence of independently shipping and supporting complex frontend features, explaining design trade-offs, and collaborating with designers, customers, and engineers.

Responsibilities

  • Own customer-facing features from problem definition and design trade-offs through implementation, release, and production support.
  • Build interactive search and recommendation experiences, virtual concierge services, and data-rich dashboards.
  • Build tool-driven interfaces for AI assistants and app integrations, including Model Context Protocol apps, with streaming and partial results, authentication and session continuity, and clear loading, error, and confirmation states.
  • Design, build, and maintain production React and TypeScript applications, making explicit trade-offs in component architecture, state management, and maintainability.
  • Turn designs and prototypes into responsive, accessible interfaces, including keyboard navigation, screen reader support, and usable pending, error, and confirmation states.
  • Use AI coding assistants and agents throughout the development lifecycle to accelerate delivery while maintaining standards for correctness, accessibility, performance, and maintainability.
  • Work with design, backend, and AI engineers to define UI contracts for tool calls, streaming, session state, and recoverable failures.
  • Measure and improve frontend performance, including responsiveness, rendering, and the user experience during slow or interrupted requests.
  • Debug production issues across browser rendering, application state, and API integration; use telemetry and reproducible cases to find root causes and prevent regressions.
  • Build and maintain deterministic unit, component, integration, and end-to-end tests for UI behavior and API contracts.
  • Partner with AI and backend engineers on scenario-based evaluation of model-driven interactions, including partial results, failures, and user confirmations.
  • Develop and share effective AI-assisted workflows to improve engineering productivity and code quality.

Desired Qualifications

  • Experience shipping AI-powered user interfaces.
  • Understanding of Model Context Protocol and response streaming.

About the Company

Mobi

Collaborative AI platform for enterprise data

Mobi provides a B2B AI platform that helps travel and hospitality businesses run operations more efficiently and make better decisions. It ingests and unifies data from many sources using 50+ microservices, then delivers dashboards, analytics, and automated workflows for tasks like fleet management and churn risk. Its Intent Driven Search uses natural language and generative AI to offer personalized travel recommendations by analyzing millions of points of interest and destinations. The company differentiates itself with MIT-origin research, experience with major brands, a hybrid services-and-SaaS model, and a strong focus on unifying diverse data to deliver actionable insights, with the goal of helping enterprises scale globally and improve customer experiences.

Company size
11-50
Company stage
Late Stage VC
Total funding
$26.4M
Headquarters
Somerville, MA
Founded
2010

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