iOS Engineer (AI Integration)

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.

• →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.

• 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

• 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).

• 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.