Sr. iOS Engineer

We’re building the next generation of travel and expense (T&E) technology using AI and large language models. Our mobile platform blends cutting-edge AI with strong product and UX so travelers get an intelligent companion, not just another booking app. The app should understand needs, anticipate requests, and deliver personalized help through conversational UI and rich, immersive interactions.

You’ll work at the intersection of AI and mobile, helping define how travelers interact with this kind of product on iOS.

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
• BS in Computer Science or related technical field