Staff Android Engineer

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

Create impactful Android 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 Minimum Requirements

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 Android technologies such as: 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

#J-18808-Ljbffr