Soft Engineer - iOS Automation Tester

Job highlights

• AI & LLM Integration - Hands-on production experience integrating LLM APIs into client applications
• Experience: 5+ years . .

QT-SUL-09-459

Job Title - Software Engineer

iOS Automation Tester

Location: Bangalore - GTP

Experience: 5+ years

Candidate Skills :

iOS Architecture & UI - Building and maintaining large-scale, modular iOS applications across iPhone and iPad platforms. - Developing advanced, responsive, and accessible user interfaces using SwiftUI. - Applying modern architectural patterns and dependency management to build scalable, maintainable, and testable codebases across feature teams. - Delivering polished, high-quality Apple platform user experiences. Concurrency, Data & Networking - Deep practical knowledge of Swift Concurrency, including async/await, Actors, and Task Groups. - Reactive programming and state binding with SwiftUI and Combine. - Local persistence architecture utilizing Core Data or SwiftData. - Robust networking implementations with URLSession, gRPC, or Protocol Buffers. - Scheduling and managing reliable background workflows using the BackgroundTasks framework. AI & LLM Integration - Hands-on production experience integrating LLM APIs into client applications. - Practical knowledge of MCP (Model Context Protocol) frameworks and tool-use patterns. - Clear understanding of token management, context window handling, and evaluating model trade-offs. - Designing agentic workflows, multi-agent orchestration, and resilient error recovery mechanisms in AI-powered mobile apps. Diagnostics, Performance & Profiling - Diagnosing memory leaks, performance bottlenecks, and concurrency issues using Xcode Instruments and profiling tools. - Implementing robust crash monitoring, logging, and observability solutions. - Analyzing crash trends, debugging complex production issues, and optimizing app startup performance. Capabilities - Architect, build, and maintain production-grade modular iOS architectures. - Create responsive, accessible SwiftUI interfaces supported by robust concurrency and state management. - Integrate LLM APIs, MCP servers, and agentic workflows directly into mobile environments. - Manage device resources, background tasks, local databases, and network communication layers. - Conduct deep diagnostic profiling with Instruments to resolve memory leaks and latency regressions. - Deliver resilient, scalable solutions across multi-feature engineering teams. Responsibilities - Design scalable application architectures and maintain modular codebases across iOS platforms. - Build high-performance, accessible SwiftUI interfaces that integrate seamlessly with backend services. - Integrate LLM capabilities, managing client-side context handling, token efficiency, and AI error handling. - Monitor platform observability, analyze crash reports, and remediate performance bottlenecks. - Enforce modern iOS dependency management and testing standards across multiple feature squads. - Optimize application startup times, memory footprint, and background task execution in production.

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