Senior iOS Engineer | Fully Remote | £100k - £120k
A fast-growing AI company with $100m+ in funding is building a new generation of AI-native applications designed to change how people manage work and everyday life.
Rather than another chatbot, the product is a unified AI workspace connecting email, Slack, Lark and other communication platforms, with AI agents capable of coordinating tasks, conversations and scheduling autonomously.
We're looking for a Senior iOS Engineer to own the iOS experience and help define how AI feels, responds and performs in users' hands.
You'll be building a production-grade iOS application where AI is central to the product, with performance, reliability and user trust critical to the experience.
What You'll Do
- Build and maintain production iOS applications using Swift and SwiftUI.
- Integrate AI-powered features through backend APIs.
- Build UX for streaming responses, loading states, retries, fallbacks and long-running workflows.
- Optimise performance, memory usage and battery efficiency.
- Capture user feedback and signals to support AI evaluation and iteration.
- Work closely with backend and ML engineers on APIs and system behaviour.
- Maintain high standards of App Store quality, stability and reliability.
- Explore on-device AI/ML using CoreML or TensorFlow Lite.
What We're Looking For
- Strong SwiftUI experience.
- Hands-on experience integrating AI/ML features into mobile applications.
- Strong understanding of async/await, concurrency and background tasks.
- Strong iOS performance and memory optimisation skills.
- Experience shipping and maintaining production iOS apps.
- Comfortable building for latency, partial failures and non-deterministic AI behaviour.
- Exposure to CoreML or on-device ML is a plus.
- Familiarity with feature flags / remote configuration.
- Strong intuition for AI UX and building user trust around AI.
Why Join?
You'll join a $100m+ funded AI company where AI isn't an add-on — it's the core product experience.
You'll have genuine ownership over the iOS architecture and the way users interact with autonomous AI agents on mobile.