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Overview
We're cultivating a culture that prioritizes innovators, risk-takers, and imaginative thinkers. In pursuit of becoming AI-native, we recognize that fostering a "builder" mindset is essential. This means seeking out those who can seamlessly integrate AI and emerging technologies to efficiently and effectively solve our customers' problems.
At Intuit, we hold a global leadership position in financial management solutions. We've been at the forefront of inventing Virtual Platforms and democratizing cloud computing for small businesses and their patrons alike. Our 40 years of expertise have rooted us in the startup mentality, positively disrupting ourselves as we constantly identify cutting-edge technology and design paradigms. Our teams are dynamic, focused on delivering creative solutions with a side of fun.
Responsibilities
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
 - Contribute to the design and architecture of projects, and develop backend software using best practices for architecture, design, coding standards, and follows CI/CD practices.
 - Work cross-functionally with various Intuit teams to drive forward results, and have experience with Agile Development, SCRUM, or Extreme Programming methodologies.
 - Work collaboratively with cross-functional teams to develop and implement AI-based solutions
 
Qualifications
- BS/MS in Computer Science or related area or equivalent experience.
 - 2+ 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.
 - Understanding of the Software Development Life Cycle (SDLC)
 - Familiarity with web services and experience with unit testing & test-driven development (TDD)
 - Solid communication skills: Demonstrated ability to explain complex technical issues to both technical and non-technical audiences
 - Basic understanding of AI capabilities, specifically GenAI
 - Knowledge and awareness of AI concepts
 - Ability to work collaboratively across analytics, engineering, product, design, and AI.
 - Strong problem-solving skills and analytical mindset
 - Ability to stay up-to-date with advances in AI technologies and incorporate them into software development best practices
 
Key Skills
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