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Intuit Staff Software Developer - Mobile Canada, Ontario, Toronto 122313378
Yesterday
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.
Qualifications
- 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.
- Expertise in modern mobile technologies, with specific deep experience in iOS (e.g., Swift, SwiftUI) development with some exposure to Android (e.g., Kotlin, Jetpack Compose, Android SDK)
- 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.
- Excellent communication skills, with the ability to explain complex technical issues to different audiences.
- 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.
- 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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