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Staff Software Engineer-Front End

Intuit

$197,000 - $266,500
Aug 19, 2025
Mountain View, CA, USA
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Intuit is looking to become AI-native and needs to integrate AI and emerging technologies to solve customer problems more efficiently and effectively.

Requirements

  • Experience with JavaScript, Typescript, React, HTML, CSS
  • Experience in the Software design/architecture process, and the entire Software Development Life Cycle (SDLC)
  • Experience with web services (consuming or creating) with REST or SOAP
  • Expertise with unit testing & Test Driven Development (TDD)
  • Familiar with the development challenges inherent with highly scalable and available web applications
  • Experience developing, maintaining, and innovating large scale, consumer facing web or mobile applications
  • Proficient in building functional AI models using techniques such as prompting and AutoML

Responsibilities

  • Create Front End solutions to deliver exceptional customer experiences.
  • Translate customer insights into mockups, wireframes, and proof-of-concept code
  • Lead a small team to solve complex programming and design issues
  • Contribute to project design and architecture and execute on web, mobile, and front end software development
  • Provides technical direction and guidance to the team by analyzing, evaluating, and prioritizing technical issues/ features, ultimately ensuring that high-quality solutions are delivered
  • Proactively identify opportunities to enhance software applications with AI technology
  • Launch AI integrations in production and evaluate their impact on software performance and user satisfaction, using appropriate metrics

Other

  • Lead a small team to solve complex programming and design issues
  • Coach and mentor junior engineers on best practices of software engineering, leveraging AI to enhance applications, and building their technical expertise to ensure efficient and effective outcomes
  • Demonstrated ability to explain complex technical issues to both technical and non-technical audiences
  • Ability to work collaboratively with cross-functional teams, including data scientists, product managers, and software engineers
  • BS/MS in computer science or equivalent work experience