iOS Engineer (AI Integration)

GSS Group; Bengaluru; On-site; INR 4,000,000 - 6,000,000; Full time

Job summary

GSS Group is seeking an experienced iOS Engineer to design and maintain large scale, modular iOS apps using Swift and modern Apple technologies, with a strong focus on AI integration. You will work across multiple feature teams to deliver fast, accessible experiences on iPhone and iPad.

You will implement LLM API integration, ensure robust performance with Instruments, optimize startup times, and uphold clean architecture.

Qualifications

• 6+ years of professional iOS development experience with Swift.
• Experience integrating LLM APIs in production environments.
• Knowledge of MCP frameworks, agentic workflows and tool use patterns.
• Proven memory leak debugging with Instruments and startup optimization.
• Modular architecture, dependency management (SwiftPM), and testability.
• Expertise in Swift Concurrency, SwiftUI, Core Data/SwiftData, Networking, and BackgroundTasks.

Responsibilities

• Design and build scalable iOS architectures supporting multiple feature teams.
• Develop advanced SwiftUI interfaces with accessibility in mind.
• Integrate LLM APIs into production iOS apps with token management and robust error handling.
• Implement agentic workflows with MCP frameworks.
• Evaluate LLM trade-offs and recommend suitable approaches.
• Implement crash monitoring and observability and analyze crash trends.
• Diagnose memory, performance, and concurrency issues with Instruments.
• Optimize startup time and runtime performance.
• Apply modern dependency management and architectural patterns for maintainability.

Skills

Swift

SwiftUI

Combine

Core Data/SwiftData

URLSession/Networking

Swift Concurrency

Tools

Swift Package Manager

Xcode Instruments

Job description

About the Role

We are looking for an experienced iOS Engineer to build and maintain large scale, modular iOS applications using modern Apple technologies, with a strong focus on AI integration. You will design scalable architectures, optimize performance, and deliver high quality experiences across iPhone and iPad, working alongside multiple feature teams.

Key Responsibilities

• Design and build scalable, modular iOS application architectures that support multiple feature teams working in parallel.
• Develop advanced SwiftUI interfaces with a strong focus on responsiveness and accessibility.
• Integrate LLM APIs into production iOS applications, including token management, context handling, and resilient error handling.
• Implement agentic workflows within the app, including multi agent orchestration and tool use patterns, leveraging MCP (Model Context Protocol) frameworks.
• Evaluate LLM trade offs (latency, cost, accuracy, on device vs cloud) and recommend the right approach for each use case.
• Implement crash monitoring and observability solutions, and analyze crash trends to drive stability improvements.
• Diagnose and resolve memory, performance, and concurrency issues using Xcode Instruments and profiling tools.
• Optimize app startup time and overall runtime performance.
• Apply modern dependency management and architectural patterns to deliver maintainable, testable code.

Required Qualifications

• 6+ years of professional iOS development experience with Swift, delivering large scale applications in production.
• Hands on experience integrating LLM APIs in production environments.
• Working knowledge of MCP (Model Context Protocol) frameworks, agentic workflows, and tool use patterns.
• Proven track record of debugging memory leaks with Instruments, analyzing crash trends, and optimizing startup performance.
• Strong grasp of modular architecture, dependency management (e.g. Swift Package Manager), and testability.
• Proven specialization in at least 2 to 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

Preferred Qualifications

• Experience building iOS apps in banking, fintech, or other regulated environments.
• Familiarity with crash and observability tools such as Firebase Crashlytics, Sentry, or Datadog.
• Experience with accessibility standards (VoiceOver, Dynamic Type).
• Exposure to on device ML (Core ML, Apple Foundation Models).

What Success Looks Like

• Stable, fast, accessible apps with measurable improvements in crash free rate and startup time.
• AI features shipped to production that are reliable, cost efficient, and fail gracefully.
• Clean architecture that lets multiple feature teams ship independently.