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Open nowPosted 5 days ago

iOS Engineer (AI Integration)

Workable (global search)108,016 open roles

Where
Bengaluru, KA, India
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Your applicationOpen nowiOS Engineer (AI Integration)Workable (global search) · Bengaluru, KA, India
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Early applications get read.

7.9% of postings close within 7 days. Measured by our own scanner across the market. Workable (global search) postings stay open a median of 7 days.

Share of postings closed within
  1. 1.6%1 day
  2. 3.6%3 days
  3. 7.9%7 days
  4. 14.9%14 days
  5. 34.0%30 days
This job: posted 5 days ago

Workable (global search) median: 7 days open

The posting

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.
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