MFA - Mobile Engineer

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Skills you'll use

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.

Who can apply

• 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
• 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
• KMP / Kotlin Multiplatform, or experience evaluating cross-platform trade-offs honestly
• Mobile CI/CD (Fastlane, Bitrise, GitHub Actions for mobile), automated UI testing

About Xplor Technologies

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