iOS Engineer (AI Integration)

Gsstech Group; Bengaluru; On-site; INR 3,000,000 - 4,500,000; Full time

Job summary

Gsstech Group in Bengaluru seeks an experienced iOS Engineer to build large-scale, modular iOS apps with AI integration. You will design scalable architectures, optimize performance, and deliver high-quality experiences across iPhone and iPad, collaborating with multiple feature teams.

You will integrate LLM APIs, handle token management, ensure reliability, and improve startup time and memory performance using modern Swift tooling and MCP frameworks.

Qualifications

• 6+ years of iOS development with production apps.
• Hands-on experience integrating LLM APIs in production.
• Knowledge of MCP frameworks, agentic workflows and tool use patterns.
• Proven debugging of memory leaks with Instruments and startup optimization.
• Strong modular architecture and use of Swift Package Manager.
• Expertise in at least two of: Swift Concurrency, SwiftUI/Combine, Core Data/SwiftData, Networking, BackgroundTasks.

Responsibilities

• Design scalable iOS architectures for multiple feature teams.
• Develop advanced SwiftUI interfaces with accessibility focus.
• Integrate LLM APIs with token and context management.
• Implement agentic workflows using MCP frameworks.
• Evaluate on-device vs cloud LLM trade-offs and optimize performance.
• Monitor crashes and improve startup time and memory usage.
• Profile and fix memory, concurrency and performance issues.
• Apply modern dependency management and architectural patterns.

Skills

Swift

SwiftUI

Combine

LLM integration

Performance profiling

Modular architecture

Testing patterns

Dependency management

Education

B.E./B.Tech Computer Science

Tools

Xcode Instruments

Swift Package Manager

Core Data

URLSession

gRPC

Protocol Buffers

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.