We are looking for an experienced iOS Software Engineer with strong hands-on expertise in Swift and modern iOS development , along with experience in automation testing , to build and maintain large-scale, modular iOS applications. The ideal candidate will have experience designing scalable iOS architectures, developing high-quality applications for iPhone and iPad , optimizing application performance, and working with modern Apple technologies. The role also requires hands-on experience with AI/LLM integration , including LLM APIs, Model Context Protocol (MCP), token management, context handling, agentic workflows, multi-agent orchestration, and tool-use patterns in production environments. Key Responsibilities - Design, develop, and maintain large-scale, modular iOS applications using Swift . - Build scalable, maintainable, testable, and high-performance solutions across multiple feature teams. - Develop advanced SwiftUI interfaces with a strong focus on responsiveness, usability, and accessibility. - Design and implement scalable application architectures and modern architectural patterns. - Develop and maintain automated testing solutions to ensure application quality and reliability. - Integrate and work with LLM APIs within production iOS applications. - Implement and work with MCP (Model Context Protocol) frameworks in production environments. - Work with token management, context handling, and agentic workflows within AI-powered applications. - Implement multi-agent orchestration and tool-use patterns where applicable. - Evaluate LLM trade-offs and design resilient error-handling mechanisms for AI-powered applications. - Diagnose and resolve memory, performance, concurrency, and application stability issues using Xcode Instruments and profiling tools. - Implement robust crash monitoring and observability solutions. - Analyze crash trends and production issues and drive improvements in application stability. - Optimize application startup performance, memory usage, responsiveness, and overall runtime performance. - Apply modern dependency management approaches to maintain scalable and modular application architecture. - Collaborate with multiple feature teams to establish consistent engineering and architectural practices. - Participate in code reviews, technical discussions, debugging, testing, and continuous improvement initiatives. - Troubleshoot complex production issues and ensure reliable application delivery. Core Technical Requirements - Strong hands-on experience in iOS application development using Swift . - Experience building large-scale and modular iOS applications . - Strong experience with SwiftUI and modern Apple development technologies. - Strong understanding of iOS application architecture and scalable architectural patterns. - Experience developing applications for iPhone and iPad . - Experience with automation testing for iOS applications. - Hands-on experience with LLM APIs and AI-powered application development. - Production experience with MCP (Model Context Protocol) frameworks . - Understanding of: - Token management - Context handling - Agentic workflows - Multi-agent orchestration - Tool-use patterns - LLM trade-offs - Resilient error handling for AI applications - Strong experience with Xcode Instruments and profiling tools . - Experience diagnosing and resolving: - Memory leaks - Memory issues - Performance bottlenecks - Concurrency issues - Application crashes - Experience with crash monitoring, observability, and production diagnostics. - Experience with modern dependency management. Specialized Expertise Candidates should have strong hands-on specialization in 2–3 or more of the following areas: 1. Swift Concurrency - async/await - Actors - Task Groups 2. SwiftUI & Combine - Advanced SwiftUI development - Combine framework - Responsive and reactive UI development 3. Core Data / SwiftData - Data persistence - Core Data or SwiftData implementation 4. Networking - URLSession - gRPC - Protocol Buffers 5. Background Processing - BackgroundTasks framework - Background execution and task management Performance, Stability & Observability The candidate should have practical production experience with: - Memory leak detection and troubleshooting using Instruments - CPU and memory profiling - Performance analysis and optimization - Application startup optimization - Concurrency issue diagnosis - Crash monitoring and analysis - Crash trend analysis - Production debugging - Application observability and stability improvements AI / LLM Requirements Strong practical experience with AI integration is required, including: - Integration of LLM APIs - Production implementation of MCP (Model Context Protocol) - Token and context management - Agentic application workflows - Multi-agent orchestration - Tool-use patterns - Evaluation of LLM model trade-offs - Error handling and resilience in AI-powered applications Automation & Quality - Experience building or maintaining iOS automation testing frameworks/scripts . - Strong understanding of software testing and quality engineering practices. - Experience integrating testing into development and CI/CD workflows. - Ability to write maintainable and reliable automated tests. - Experience identifying, reproducing, debugging, and resolving application defects. Required Competencies - Strong problem-solving and debugging skills. - Strong understanding of software engineering best practices. - Ability to work on complex production applications. - Strong ownership of application quality, performance, and reliability. - Ability to collaborate effectively across multiple feature teams. - Strong communication and teamwork skills. - Ability to learn and adapt to modern iOS and AI technologies. - Comfortable working in a fast-paced Agile engineering environment. Preferred Experience - Experience working on large-scale digital products or banking applications . - Experience in banking, financial services, or digital payments . - Experience working with enterprise-scale mobile applications. - Experience integrating AI/LLM capabilities into production applications. - Experience working with modern CI/CD and engineering automation practices.

Sr. Software Engineer - iOS (Swift) & Automation Testing

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