iOS Software Engineer

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.

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

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

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

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