Mobile AI Engineer - #35111 at Manila Recruitment

Quezon City, Metro Manila, Philippines -

Full Time

Start Date

Immediate

Expiry Date

08 Sep, 26

Salary

0.0

Posted On

10 Jun, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Swift, SwiftUI, Kotlin, Jetpack Compose, Cursor, GitHub Copilot, XCTest, Espresso, Firebase Crashlytics, GitHub Actions, Bitrise, On-Device LLM, Edge AI, Quantization, State Management, Local Storage

Industry

Staffing and Recruiting

Description

Company Profile: Our client is a Philippine-headquartered company founded year 2022. with the mission to make booking easy and accessible for everyone. They aim to provide a seamless and user-friendly platform that connects people with the best accommodations, transportation, and experiences around the world. They strive to offer a personalized experience that caters to the unique needs and preferences of each individual. They believe in transparency, reliability, and exceptional customer service, and they are committed to creating a trustworthy community of travelers and providers. Ultimate goal is to inspire people to explore new places and create unforgettable memories. Duties & Responsibilities: • Write features using Cursor/Copilot as a pair programmer — draft with AI, review every line, fix the edge cases • Ship to TestFlight and Play Console Internal Testing weekly • Review your own AI-generated code like you'd review someone else's: check for bugs, security issues, and mobile-specific problems (memory leaks, accessibility, offline handling) • Write automated tests for critical paths — XCTest for iOS, Espresso for Android • Handle app store submissions, staged rollouts, and hotfixes • Keep our CI green (GitHub Actions or Bitrise — your call) • Debug production crashes from Firebase Crashlytics • Tell us when AI tools are helping and when they're wasting your time • Telemetry & Observability • Integrate & Optimize Agentic Workflows • Maintain the Prompt & Agent Infrastructure • Expose App Features to OS Agents • Structured Data for Multimodal AI - Implement semantic layout structures and clean metadata schemas 30 / 60 / 90 days • 30: Ship first feature end-to-end. Set up your dev environment and our CI pipeline. Get to know the founder in weekly office days. Document your prompt patterns so the next hire can learn from them. • 60: Own the release cycle. Ship bi-weekly. Set up automated tests for critical paths. First security review of our codebase. • 90: Operating independently. Shipping weekly. You've told us which AI tools are worth paying for and which aren't. First architecture decision documented. You've helped us figure out our office day rhythm. What good looks like Ships features • 1-2 per month (meaningful, not trivial) (measured: Project tracker) Zero critical bugs in production • From AI-generated code (measured: Post-mortem review) • Shipped at least 5 production mobile apps (iOS and/or Android). (Publishes projects year 2024 onwards) • Strong Swift/SwiftUI OR Kotlin/Jetpack Compose — both is ideal. • Used Cursor, Copilot, or Claude Code daily for 6+ months. • Can show us your prompt library or explain how you review AI output. • Security awareness — you know what hardcoded secrets look like and you've caught real bugs in code you didn't write • Self-directed — in a 2-person team, there's no one looking over your shoulder. • State Management & Local Storage • AI Tooling Reality Check - this will check if they use frontier AI coding agents and if they have experience in running Local LLM • Advanced AI Tooling & Orchestration • Understanding of LLM Mechanics • On-Device LLM & Edge Deployment o Edge AI & Quantization - Experience deploying and optimizing small language models (SLMs) on-device o Performance & Resource Management - Deep understanding of mobile hardware constraints Advantageous Skills: • Both iOS AND Android experience. • Flutter or React Native background with willingness to go native. • Built apps with real-time features (WebSockets, SSE). • Experience with on-device ML (CoreML, TensorFlow Lite). • Open source contributions or a technical blog. • AI Agent: Open Claw, Hermes Agent • Bachelor’s Degree

Responsibilities

Develop mobile features using AI pair programming tools and manage the full release cycle from testing to app store submission. Implement agentic workflows, optimize on-device LLMs, and maintain the prompt infrastructure for multimodal AI.