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
Qualification
* BS/MS in Computer Science or related area or equivalent experience.
* 7+ years of total experience delivering enterprise-class applications.
* Solid foundation in writing scalable application code following best practices of accessibility, internationalization, and instrumentation.
* Experience with cross-browser, cross-platform, and design constraints on the web and mobile.
* Solid knowledge of algorithms and design patterns.
* Proficiency in mid-tier languages like Java.
* Experience with test automation: TDD, unit/integration/functional testing.
* Experience with Relational Database Design and Implementation.
* Interest in building CI/CD pipelines.
* Practical experience in developing applications using microservices, container technologies, container management systems such as Kubernetes, Mesos, etc.
* Strong experience with Databases design (SQL, NoSQL) and analytics.
* Prior working experience in utility computing and/or cloud computing domain.
* Experience building and deploying applications and services into cloud environments.
* Proficient in building or integrating functional AI models using techniques such as LLM prompting, AutoML modeling, etc
* Skilled in evaluating and monitoring the performance of AI technology in production and making necessary adjustments to ensure optimal application performance
* Possesses an in-depth understanding of AI integration and can lead the integration process effectively, while coaching junior engineers on how to leverage AI
* Ability to work collaboratively with cross-functional teams, including data scientists, product managers, and software engineers
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