Intuit QuickBooks Live team is looking to expand its platform to delight millions of users with amazing digital experiences by leveraging hands-on engineering expertise and integrating AI technology.
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.
- Familiarity with the development challenges that come with highly scalable and available web applications.
- 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.
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.
Other
- 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.
- 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.
