Location
In office (India)
Seniority
Senior · 5+ years exp
Employment
Full-Time
First seen by Alion on Sep 26, 2026.
Overview
Company
Impact
Profile match
D4Insight is a technology company that develops software and analytics solutions for the insurance and risk management sectors. The organization focuses on data driven tools that help clients analyze risk exposures, manage policies and portfolios, and improve underwriting and related decision making.
Location: Bengaluru, India
Experience: 5+ Years
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.
- 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.
- 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.
🩠Apply Now:
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