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Protocol Intelligence
Data-driven signals on your job's competitivenessBengaluru metro, common Android title and broad skillset (plus AI/LLM) increase applicant density.
Core Android skills are transferable across industries but AI/LLM and banking preferences raise domain specificity to medium.
Multiple mandatory technical requirements including production AI/LLM integration and senior Android expertise make filters strict.
Job Description
Structured overview of role & requirementsAbout This Role
Design, develop, and maintain large-scale, multi-module Android applications with scalable architectures for digital banking products.
Integrate LLM APIs and AI capabilities into production Android applications, including agentic AI workflows and multi-agent orchestration.
Optimize Gradle build performance, diagnose memory, ANRs, and stability issues, and contribute to engineering standards and code reviews.
Minimum Requirements
Strong hands-on experience in Android development with Kotlin and Jetpack Compose.
Experience integrating LLM/AI capabilities, including LLM API integration, token/context management, and agentic AI workflows in production.
Bachelor's degree in Computer Science, IT, Software Engineering or equivalent experience.
Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
Experienced in architecting and maintaining complex multi-module Android applications at scale, preferably in digital or mobile banking products.
Hands-on expertise with production AI/LLM integrations and related frameworks such as MCP and agentic AI systems.
Demonstrated ability to optimize application performance, build scalable architectures, and troubleshoot complex production issues in Android environments.