MFA - Mobile Engineer

Xplor Technologies powers the experiences at the heart of everyday life. Through modern vertical software, embedded payments, and AI-powered capabilities, we help businesses in fitness, recreation, golf and club, field services, laundry, education, and other membership-based and service-based industries simplify operations, uncover insights, and elevate customer and member experiences. We unite popular brands such as Clubessential , foreUP , myFitApp , Vermont Systems , Momence , Exerp , and many more. Full-time · Remote · 3–5 years of experience Why this role exists We're hiring a mobile engineer who can own iOS and Android end-to-end, write production code at speed without sacrificing quality, and is genuinely fluent with the modern AI dev stack (Claude Code, Cursor, Copilot, agentic workflows). If "AI-assisted development" still sounds like a buzzword to you, this probably isn't your team. If you've already restructured how you work around it, keep reading. What you'll do You'll own mobile, end-to-end. That means architecting features from a rough product brief, shipping them across both platforms, and being on the hook for performance, crash rates, and store presence after launch. You won't be handed Jira tickets — you'll be handed problems. Concretely, in your first six months you'd expect to: • Ship at least one significant feature on both iOS and Android, from spec to store • Cut down a meaningful chunk of our crash-free-session and cold-start metrics • Own one piece of mobile infra (CI/CD, release pipeline, modularization, design system, or observability) • Help shape how the team uses AI tools for mobile work — prompts, workflows, evals, agentic loops Day-to-day, you'll write code (a lot of it AI-assisted), review PRs, debug gnarly platform-specific issues, and partner directly with product, design, and backend. There's no buffer layer of EMs or PMs translating things for you. What we're looking for We're optimizing for a particular kind of engineer. Specific frameworks can be learned in weeks; the things below take years. A genuine willingness to learn. Mobile changes constantly — new architecture components, new concurrency models, new OS APIs. We expect you to keep up without being chased. Strong fundamentals. Data structures, concurrency, memory management, networking. Solid enough to debug an unfamiliar crash from first principles. Strong native chops on both platforms. Not "I've touched Android once" — we mean you can hold your own in Swift/SwiftUI/UIKit and Kotlin/Compose. If you're 80/20 split today, that's fine, but you should be hungry to close the gap fast. • iOS: Swift, SwiftUI, UIKit, Combine or async/await, instruments-level profiling • Android: Kotlin, Jetpack Compose, Coroutines/Flow, the legacy View system when needed • Architecture: MVVM, Clean, modularization — and an opinion on when each is overkill • Networking, persistence, caching, lifecycle, concurrency — the unglamorous stuff that decides whether an app is good Fluency with AI-assisted development. This is not optional and not "exposure." We expect you to be using Claude Code, Cursor, Copilot, or equivalent every day, and to have real opinions on: • When to use agentic loops vs. inline completions vs. just writing it yourself • How to scope a task so an agent can actually finish it • How to review AI-generated code critically (the failure modes are different from human code) • How to build internal tooling, scripts, and evals around AI workflows Tell us in your application what your current setup looks like and what you've built with it. A bias toward shipping. At least one app you've taken from zero to live on the App Store or Play Store. Bonus if it's still maintained. We care more about what you've shipped than your years of experience — a sharp 3-year engineer beats a coasting 5-year one. High autonomy. You're comfortable with ambiguous specs, async communication, and making calls without a committee. You raise your hand when blocked, but you rarely are. Nice to have • Experience with modularized or multi-module mobile codebases at scale • On-device AI work — Core ML, ML Kit, Gemini Nano, Apple Intelligence APIs, or local LLM inference • KMP / Kotlin Multiplatform, or experience evaluating cross-platform trade-offs honestly • Mobile CI/CD (Fastlane, Bitrise, GitHub Actions for mobile), automated UI testing • App security and supply-chain hygiene (cert pinning, obfuscation, secrets management) • Built developer tools, internal SDKs, or AI-powered dev workflows • Prior experience in a small, fast-moving team (under ~30 engineers) Got questions? You can email us at [email protected] .