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Strong Tier-1 brand and Bangalore metro increase applicant competition despite senior mobile specialization.
Mobile engineering skills are transferable, but financial security and responsible-AI requirements increase domain specificity.
Multiple mandatory mobile technologies, AI-assisted tooling expertise, CI/CD and secure-coding expectations increase rigor in shortlisting.
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Own end-to-end design, development, and production release of native Android applications using Kotlin, implementing AI/ML-powered mobile features focusing on performance and reliability.
Lead software design and architecture for complex mobile applications ensuring scalability, maintainability, and secure, high-quality code aligned with enterprise standards.
Operate CI/CD pipelines and participate in Agile/Scrum processes to deliver rapid, reliable mobile software improvements, including performance tuning and debugging on real devices.
Proficient in native Android development with Kotlin, including modern mobile architectures (MVVM/MVP/MVC) and associated tooling (Git, Retrofit, Dagger, RxJava).
Experience using enterprise-authorized AI-assisted software development tools, with ability to validate and refine AI-generated code for correctness and security.
Skills in multi-language mobile development across iOS/Android platforms (Swift, Kotlin, Objective-C, Java) and familiarity with C++, JavaScript, Ruby, Python.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced in integrating AI/ML models into mobile apps with focus on performance, user experience, and secure handling of sensitive data.
Comfortable working in Agile environments, operating CI/CD pipelines, and collaborating across teams to clarify requirements and deliver quality products.
Able to lead technical troubleshooting and improve system architecture using data-driven insights, including handling phone-specific challenges and optimizing code performance on devices.