Staff Software Engineer - AI-Driven Frontend & Leadership

Intuit Inc.; Mountain View (CA); On-site; USD 203,000 - 274,000; Full time

Job summary

Intuit Inc. is seeking an experienced Front-End / AI Integration engineer in Mountain View to craft high-quality web and mobile interfaces. You will translate customer insights into tangible mockups and drive architectural decisions for scalable applications.

You will mentor junior engineers, champion TDD, and push AI-powered features into production, measuring impact on performance and user satisfaction.

Qualifications

• BS/MS in computer science or equivalent work experience.
• Experience with JavaScript, TypeScript, React, HTML and CSS.
• Knowledge of SDLC and web services (REST/SOAP).
• Experience with unit testing and TDD.
• Ability to explain complex technical issues clearly.

Responsibilities

• Create front end solutions to deliver exceptional customer experiences.
• Translate 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 for web, mobile and front end.
• Provide technical direction and prioritize features for high quality solutions.
• Proactively identify opportunities to enhance apps with AI technology.
• Coach junior engineers on AI-powered development and best practices.
• Launch AI integrations in production and evaluate impact on performance.

Skills

JavaScript

TypeScript

React

HTML

CSS

Unit testing

AI integration

REST API

SOAP API

Education

BS/MS in computer science or equivalent experience

Tools

REST API

SOAP API

Open source tech

AutoML

Job description

Intuit Inc. is seeking an experienced Front-End / AI Integration engineer in Mountain View to craft high-quality web and mobile interfaces. You will translate customer insights into tangible mockups and drive architectural decisions for scalable applications.

You will mentor junior engineers, champion TDD, and push AI-powered features into production, measuring impact on performance and user satisfaction.