Android Software Engineer

D4Insight; Bengaluru; On-site; INR 2,500,000 - 4,000,000; Full time

Job summary

D4Insight in Bengaluru seeks an experienced Android Engineer to design, build and maintain large-scale, multi-module Android applications with AI integration.

You will optimize Gradle architectures, implement Jetpack Compose interfaces, ensure performance, and apply scalable patterns across teams in a fast-paced environment. Candidates should have 5+ years of Android experience, strong MVVM knowledge, and hands-on work with LLM APIs and MCP frameworks.

Qualifications

• 5+ years of experience building and maintaining large-scale, multi-module Android applications.
• Strong understanding of token management, context handling, agentic workflows, and multi-agent orchestration.
• Hands-on experience integrating LLM APIs and MCP frameworks in production environments.
• Experience with Kotlin Coroutines & Flow, Data Store and Room, OkHttp and Protocol Buffers, and Work Manager.
• Experience with memory profiling, Firebase crash analysis, and performance optimization.

Responsibilities

• Design scalable Gradle architectures for large-scale, multi-module Android applications.
• Optimize build performance and modular application structures.
• Develop high-performance Jetpack Compose user interfaces.
• Apply scalable architectural patterns across feature teams.
• Integrate LLM APIs and MCP frameworks in production environments.
• Work with token management and agentic workflows across modules.

Skills

Kotlin Coroutines

Flow

Token management

Context handling

Agentic workflows

Multi-agent orchestration

LLM APIs

MCP frameworks

Data Store

Room

OkHttp

Protocol Buffers

Work Manager

Tools

OkHttp

Protocol Buffers

Data Store

Room

Work Manager

Job description

Role Overview:

We are seeking for experienced Android Engineer to build and maintain large-scale, multi-module Android applications with expertise in complex build systems, modern Android development, and AI integration.

The role involves designing scalable Gradle architectures, optimizing application performance, developing high-performance Jetpack Compose interfaces, and integrating AI capabilities into production mobile applications.

Key Responsibilities:

Android Application Engineering

• Design scalable Gradle architectures for large-scale, multi-module Android applications.


• Optimize build performance and modular application structures.


• Develop high-performance Jetpack Compose user interfaces.


• Apply scalable and maintainable architectural patterns across feature teams.

Performance & Reliability

• Implement robust Firebase Crash Reporting.


• Diagnose memory issues and ANRs.


• Perform memory profiling, crash analysis, and application performance optimization.


• Identify and resolve performance issues across large-scale modular applications.

AI & Modern Application Development

• Integrate LLM APIs and work with MCP (Model Context Protocol) frameworks in production environments.


• Apply AI error-recovery strategies across agentic workflows and multi-agent orchestration.


• Work with token management, context handling, agentic workflows, and multi-agent orchestration.

Required Skills & Experience:

• 5+ years of experience building and maintaining large-scale, multi-module Android applications.


• Strong understanding of token management, context handling, agentic workflows, and multi-agent orchestration.


• Hands-on experience integrating LLM APIs and MCP frameworks in production environments.


• Strong expertise in 2-3 of the following:
  
  
  
  • Kotlin Coroutines & Flow
  
  
  • Data Store and Room
  
  
  • OkHttp and Protocol Buffers
  
  
  • Work Manager
  
  


• Experience with memory profiling, Firebase crash analysis, and performance optimization.

Preferred Skills:

• Active GitHub portfolio showcasing multiple Android projects with strong architecture and scalability.


• Open-source contributions and technical writing experience.


• Experience shipping AI-powered features.


• Experience with LLM platforms such as Claude, OpenAI, or MCP tool servers.


• Ability to balance architectural thinking with practical delivery across complex modular systems and real-world mobile constraints.

We craft, deploy, and manage bespoke services in CRM, data and AI, cybersecurity and consulting.