Intuit is seeking to solve customer problems by integrating AI and emerging technologies into their financial management solutions
Requirements
- 5+ years of experience developing systems/software for large businesses using Java/J2EE, Python, or Go
- Experience with databases, cloud, APIs, and other technologies to ensure that the application is scalable, secure, and performant
- Experience with unit testing and Test Driven Development (TDD)
- Experience developing, maintaining, and innovating large scale, consumer facing web applications
- Basic understanding of AI concepts and foundations
- Familiarity with data and metrics required for building and evaluating AI models
- Conversant with AI Native principles and able to apply them to software development
Responsibilities
- Be responsible for roughly 80-90% hands-on coding and serve as a technical leader by mentoring junior engineers and applying technical expertise to challenging programming and design problems
- Drive the design and implementation of reliable and scalable backend software solutions that solve critical customer problems and interact with numerous other services
- Deliver high quality web application code and contributing to overall site stability by conducting code reviews and writing unit and integration tests
- Contribute to the design/architecture of the project and developing web software while implementing best practices for architecture, design, coding standards & CI/CD
- Work collaboratively with AI experts and integrate AI into existing systems, leveraging expertise and guidance as needed
- Propose AI solutions that can be applied to a variety of problems
Other
- BS/MS in Computer Science or related area or equivalent experience
- Strong communication skills with a demonstrated ability to explain complex technical issues to both technical and non-technical audiences
- Ability to communicate effectively with cross-functional teams
- Ability to keep up-to-date with the latest trends and advances in AI technology and incorporate them into software development practices
