Android Software Engineer

D4 Insight; Bengaluru; On-site; INR 2,800,000 - 4,400,000; Full time

Job summary

D4 Insight in Bengaluru, India seeks an experienced Android Engineer to build and maintain large-scale, multi-module Android apps with strongGradle architecture and AI integration. You will optimize performance, develop Jetpack Compose interfaces, and apply scalable patterns across teams.

We are looking for 5+ years of Android experience, expertise in token management and multi-agent workflows, and hands-on work with LLM/APIs in production environments.

Qualifications

• 5+ years of experience building large-scale Android apps.
• Strong understanding of token management and multi-agent orchestration.
• Hands-on experience with LLM APIs and MCP frameworks in production.

Responsibilities

• Design scalable Gradle architectures for large multi-module apps.
• Optimize build performance and modular structures.
• Develop high-performance Jetpack Compose interfaces.
• Apply scalable architectural patterns across feature teams.

Skills

Android architecture

Performance optimization

AI integration

Token management

Jetpack Compose

Tools

Kotlin Coroutines & Flow

Data Store & Room

OkHttp

Protocol Buffers

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.

Location

Bengaluru, India

Experience

5+ Years

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.