Sr. Software Engineer, iOS

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)

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