AI Native Mobile Application Developer

Job highlights
Identified by Google from the original job post
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 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
Benefits
We offer a competitive compensation package with a strong pay-for-performance rewards approach
Our benefits include cash bonuses, equity rewards, and more, all designed to support your career growth and well-being
Responsibilities
As a Staff Android Engineer, you will be responsible for creating impactful Android experiences with deep customer empathy, quickly translating insights into mockups, wireframes, and proof-of-concept code
You will act as the technical subject matter expert, mentoring fellow engineers, leading a small team, and solving challenging programming and design problems
Create and implement innovative Android solutions that drive business growth and customer satisfaction
Lead cross-functional teams in designing and developing high-quality software applications
Proactively identify opportunities to enhance software applications with AI technology
Cultivate and maintain relationships with key stakeholders, including data scientists, product managers, and software engineers
Develop and maintain technical documentation, ensuring accurate and up-to-date information for engineering teams
Job description
descriptions2：

Job Description

As a Staff Android Engineer, you will be responsible for creating impactful Android experiences with deep customer empathy, quickly translating insights into mockups, wireframes, and proof-of-concept code. You will act as the technical subject matter expert, mentoring fellow engineers, leading a small team, and solving challenging programming and design problems.

Responsibilities
• Create and implement innovative Android solutions that drive business growth and customer satisfaction
• Lead cross-functional teams in designing and developing high-quality software applications
• Proactively identify opportunities to enhance software applications with AI technology
• Cultivate and maintain relationships with key stakeholders, including data scientists, product managers, and software engineers
• Develop and maintain technical documentation, ensuring accurate and up-to-date information for engineering teams

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

What Sets Us Apart

We offer a competitive compensation package with a strong pay-for-performance rewards approach. Our benefits include cash bonuses, equity rewards, and more, all designed to support your career growth and well-being. Read more