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.