Join a fast-growing AI start-up on a mission to make advanced technology accessible to everyone.
This team is building the next generation of AI-powered apps for people who want intelligent help without complex prompting. Their first product is an agent-first mobile communication app, bringing intelligence to conversations, errands, organising and workflows. The focus is on AI that is reliable, proactive and easy to trust.
The Opportunity
As an iOS Engineer, you’ll own the iOS client experience: how AI feels, responds and performs in users’ hands. This is not a thin integration role. You’ll build a production-grade app where AI interactions are central to the product, working closely with backend and ML engineers on API design and system behaviour.
What You’ll Be Doing
Build and maintain the iOS app in Swift and SwiftUI
Integrate AI-powered features through backend APIs
Design UX patterns for AI, including loading states, streaming responses, retries and fallbacks
Optimise performance, memory usage and battery efficiency
Capture user signals and feedback to support AI evaluation and iteration
Keep App Store quality, stability and production reliability high
Detect and resolve production issues early, with clear root-cause analysis
What They’re Looking For
3+ years of iOS development in Swift
Hands-on experience integrating AI-powered features into mobile apps
Strong understanding of async/await, concurrency and background tasks
Solid performance and memory optimisation skills
Experience shipping and maintaining production iOS apps
Comfort designing for latency, partial failure and non-deterministic AI behaviour
Strong intuition for AI UX patterns and user trust
Exposure to CoreML or on-device ML, and familiarity with feature flags or remote config, are a plus
Tech Stack
Swift • SwiftUI • SPM • SQL / NoSQL • TensorFlow Lite
Why Join?
Fully remote working
Salary up to £100k, plus potential equity
High ownership and autonomy from day one
Small, high-talent-density team that makes decisions collectively
Direct influence on product direction
Fast-moving environment with rapid decision-making and deployment cycles
A quick, transparent interview process: 3 stages, 4 at most
The chance to bring practical AI to billions of everyday users
If you’re excited by AI and building products from scratch, I’d love to speak with you. Feel free to reach out directly for more information.