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.

Requirements

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:Performance, Stability & Observability

Swift Concurrency
async/await
Actors
Task Groups
SwiftUI & Combine
Advanced SwiftUI development
Combine framework
Responsive and reactive UI development
Core Data / SwiftData
Data persistence
Core Data or SwiftData implementation
Networking
URLSession
gRPC
Protocol Buffers
Background Processing
BackgroundTasks framework
Background execution and task management

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