iOS Software Engineer

Burton Recruitment
London, United Kingdom
Today
£70,000 – £100,000 pa

Salary

£70,000 – £100,000 pa

Posted
4 Aug 2026 (Today)

iOS Software Engineer

London

Full time, Hybrid

The Company:

There are over 5 billion users using basic applications today such email, notes, tasks that are not AI-native. The mission is to build a proactive smart assistant for everyday users to bring intelligence to conversations, errands, organising and workflows with minimal prompting.

The product focuses on achieving high reliability for long-running workflows, persistent context, and real-world task completion. The system must handle multi-step reasoning, interact with external tools, and remain reliable despite non-deterministic model behaviour. The objective is to help users enjoy completing daily tasks in over 90% reduced time.

The Role:

As an iOS Software Engineer, you own the iOS client experience, how AI feels, responds, and performs in users’ hands. This is not a thin integration role. You will build a production-grade iOS application where AI interactions are central to product experience, and performance, reliability, and user trust are critical.

  • Build and maintain iOS applications using Swift and SwiftUI.
  • Integrate AI-powered features through backend APIs.
  • Design UX patterns for AI interactions, including loading states, streaming responses, retries, and fallbacks.
  • Optimize performance, memory usage, and battery efficiency.
  • Capture user signals and feedback to support AI evaluation and iteration.
  • Collaborate closely with backend and ML engineers on API design and system behavior.
  • Maintain high App Store quality, stability, and production reliability.

Requirements:

  • 3+ years of iOS development experience using Swift.
  • Hands-on experience integrating AI-powered features into mobile apps.
  • Strong understanding of async/await, concurrency, and background tasks.
  • Solid iOS performance and memory optimization skills.
  • Experience shipping and maintaining production iOS apps.
  • Comfort designing for latency, partial failure, and non-deterministic AI behavior.
  • Exposure to CoreML or light on-device ML.
  • Familiarity with feature flags or remote configuration systems.
  • Strong intuition for AI UX patterns and user trust considerations.

Outcomes:

  • Stable, smooth, and reliable real-world use iOS applications.
  • Performance is optimized: responsive, low-latency, and efficient on memory and CPU.
  • Production issues are detected early, monitored effectively, and resolved with clear root-cause analysis.

Tech Stack:

  • Swift
  • SPM
  • SwiftUI
  • SQL / noSQL
  • TensorFlow Lite (on-device inference)

The Team:

The best products today in the world were built by small, world class teams. You will be joining a high talent density and hands-on team who make decisions collectively, move at rapid speed, striking a balance between shipping high-quality work and learning. Joining the team requires the ability to bring structure, exercise judgment, and execute independently. The collective goal is to give users a truly magical product.

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