Intuit is looking to expand its platform to delight its millions of users with amazing digital experiences, specifically through the QuickBooks Live team, by building successful applications, services, and APIs that deliver big value to customers.
Requirements
- Expertise in modern mobile technologies, with specific deep experience in either Android (e.g., Kotlin, Jetpack Compose, Android SDK) or iOS (e.g., Swift, SwiftUI) development.
- Experience in the Software design/architecture process.
- Experience in the entire Software Development Life Cycle (SDLC).
- Experience with web services (consuming or creating) with REST or SOAP.
- Experience with unit testing and Test Driven Development (TDD).
- 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.
Responsibilities
- Create impactful mobile experiences with deep customer empathy, quickly translating insights into mockups, wireframes, and proof-of-concept code.
- Act as the technical subject matter expert, mentoring fellow engineers, leading a small team, and solving challenging programming and design problems.
- Proactively identify opportunities to enhance software applications with AI technology.
- 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.
- Launch AI integrations in production and evaluate their impact on software performance and user satisfaction, using appropriate metrics.
- Lead the integration process of AI technology effectively
- Solve challenging programming and design problems
Other
- BS/MS in Computer Science or equivalent work experience.
- 7+ years of professional experience with expertise in developing, maintaining, and innovating large-scale, consumer-facing mobile applications.
- Excellent communication skills, with the ability to explain complex technical issues to different audiences.
- Ability to work collaboratively with cross-functional teams, including data scientists, product managers, and software engineers.
- Ability to work with ambiguity and changes, and have a bias towards action
