Intuit is looking to become AI-native and needs to integrate AI and emerging technologies to solve customer problems more efficiently and effectively.
Requirements
- 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 with JavaScript application design and testing experience.
- Proficiency in mid-tier languages like Java.
- Experience with test automation: TDD, unit/integration/functional testing.
- Proficient in building or integrating functional AI models using techniques such as LLM prompting, AutoML modeling, etc
Responsibilities
- Drive significant technology initiatives end-to-end and across multiple layers of architecture
- Architect and develop scalable applications or systems
- Drive the design and implementation of durable and software solutions to solve critical customer problems that are scalable, secure, easy to maintain, and interact with numerous other systems
- Provide recommendations and best practices for application development, platform development, and developer tools
- Actively stay abreast of industry best practices, share learnings, and experiment and apply cutting edge technologies
- 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
- Partner and work with global teams across time zones
- Communicates clearly, succinctly, and persuasively to all levels of employees, customers, and management (including executives)
- 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
- Ability to work collaboratively with cross-functional teams, including data scientists, product managers, and software engineers.
- BS/MS in Computer Science or related area or equivalent experience.
