iOS Software Engineer

D4 Insight; Bengaluru; On-site; INR 1,800,000 - 2,400,000; Full time

Job summary

D4 Insight in Bengaluru, India seeks an experienced iOS Engineer to design and maintain large-scale iOS applications using SwiftUI, modern concurrency, and AI integration. You will build scalable architectures, optimize performance, and ensure robust observability for production deployments.

The role emphasizes 5+ years of iOS development, strong knowledge of token/context management, and hands-on experience with MCP frameworks and LLM APIs to deliver production-ready AI-enabled iOS solutions.

Qualifications

• 5+ years of experience building and maintaining large-scale iOS applications.
• Strong understanding of token management and context handling, with emphasis on scalable architectures.
• Experience integrating LLM APIs in production environments and working with MCP frameworks.

Responsibilities

• Design scalable iOS architectures for iPhone and iPad.
• Optimize performance for high-quality user experiences.
• Develop advanced SwiftUI interfaces with accessibility in mind.
• Apply modern patterns to create maintainable, testable solutions.
• Implement crash monitoring and observability in production.
• Diagnose memory, performance, and concurrency issues with Instruments.
• Debug memory leaks and optimize startup performance.
• Integrate LLM APIs and handle AI-powered workflows.
• Ensure robust error handling in AI-enabled apps.

Skills

Swift Concurrency

SwiftUI

Combine

Core Data

Networking

URLSession

gRPC

Protocol Buffers

BackgroundTasks

AI integration

Token management

Context handling

Agentic workflows

Multi-agent orchestration

Tool-use patterns

Tools

MCP frameworks

Job description

Role Overview

We are seeking for experienced iOS Engineer to build and maintain large-scale, modular iOS applications using modern Apple technologies and AI integration. The role focuses on scalable application architecture, high-performance mobile experiences, advanced SwiftUI development, production observability, and integration of AI capabilities into iOS applications.

Location

Bengaluru, India

Experience

5+ Years

Key Responsibilities

iOS Application Engineering

• Design scalable application architectures for iPhone and iPad platforms.
• Optimize application performance and deliver high-quality user experiences.
• Develop advanced SwiftUI interfaces with a strong focus on responsiveness and accessibility.
• Apply modern dependency management and architectural patterns to create scalable, maintainable, and testable solutions.

Performance & Observability

• Implement robust crash monitoring and observability solutions.
• Diagnose memory, performance, and concurrency issues using Xcode Instruments and profiling tools.
• Debug memory leaks, analyze crash trends, and optimize application startup performance in production.

AI Integration

• Integrate LLM APIs and work with MCP (Model Context Protocol) frameworks in production environments.
• Implement resilient error handling in AI-powered applications.
• Evaluate LLM trade-offs and work with token management, context handling, agentic workflows, multi-agent orchestration, and tool-use patterns.

Required Skills & Experience

• 5+ years of experience building and maintaining large-scale, modular iOS applications.
• Strong understanding of token management, context handling, agentic workflows, multi-agent orchestration, and tool-use patterns.
• Hands-on experience integrating LLM APIs and MCP frameworks in production environments.
• Proven specialization in 2–3 of the following:
  • Swift Concurrency – async/await, Actors, Task Groups
  • SwiftUI and Combine
  • Core Data or SwiftData
  • Networking with URLSession, gRPC, or Protocol Buffers
  • Background processing with the BackgroundTasks framework
• Experience debugging memory leaks using Instruments, analyzing crash trends, and optimizing startup performance.

Ideal Candidate

The ideal candidate will have a proven track record of delivering scalable iOS solutions in production environments, going beyond simple applications and demonstrating strong architectural thinking, performance engineering, and modern AI integration capabilities.