Build and ship innovative iOS experiences that blend AI, LLMs, and conversational UX into an intelligent travel companion app. Requires 5+ years Swift/iOS experience, strong architecture and concurrency skills, and familiarity with LLM-driven features.
113k – 252k/yr
On-site5+ YOEiOS Engineering
About the role
What You'll Do
Design and ship innovative UX patterns for conversational interfaces and AI-driven experiences on iOS
Architect and build Swift-first, production grade features using async/await, structured concurrency and modern iOS APIs
Lead implementation of context-aware experiences using behavior, preferences, and app state with an emphasis on performance and privacy
Use metrics, experimentation, and validation (analytics, A/B tests, logging) to iterate on features and improve quality over time
Turn complex AI/ML capabilities into simple, intuitive mobile interactions
Use AI tools (e.g., Claude Code / LLM‑based coding assistants) to accelerate development while maintaining a high‑quality, well‑tested codebase
Collaborate across product, design, and backend in a fast-moving environment
What We're Looking For
5+ years of professional development experience with strong Swift skills, building high quality iOS apps
Deep understanding of Swift and the iOS SDK, including:
Swift concurrency (async/await, Task, actors), structured concurrency, and modern GCD usage
SwiftUI for building production UIs; familiarity with UIKit and interoperability is a plus
Experience with Combine or other reactive patterns, and when to prefer them vs. async/await
Strong grasp of iOS architecture (e.g., MVVM, Clean Architecture, modularization) suitable for AI‑powered, stateful, and real‑time features
Solid understanding of JSON, REST, WebSockets, streaming APIs and robust networking layers (error handling, retries, offline support)
Experience with offline storage, background processing, threading and push notifications
Curiosity about new interaction models (chat, agents, multimodal UI, etc.)
Experience using AI development tools (e.g., Claude Code, GitHub Copilot, etc.) as part of your workflow, with good judgment about code quality and security
Familiarity with LLM‑driven features (prompt design, integrating LLM APIs, handling latency, fallbacks, guardrails) and/or conversational UX
Track record building consumer‑facing apps; ideally you’ve shipped to the App Store and iterated from user feedback and metrics
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