Senior Mobile Engineer - AI Integration

pplwise

1 month ago

Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Working hours

Regular working hours

Languages

English

Experience level

Senior

Job location

Remote

Tech stack

Geographic Information Systems

API

Artificial Intelligence

Android

Android Studio

iOS

XCode

Computer Vision

Mobile Application Development

Dependency Injection

Mobile Application Software

Model View ViewModel

Object Detection

Open Source Technology

TensorFlow

Systems Integration

Swiftui

Large Language Models

Backend

Kotlin

Low Latency

Jetpack Compose

Reactive Programming

Multiplatform

Job description

Are you excited about building intelligent, high-performance mobile apps that bring real-world AI experiences to users in the field? We're looking for a Senior Mobile AI Engineer to help shape the next generation of mobile applications - combining native development, cross-platform architecture, and AI integration.

About the Role

In this role, you'll design and develop AI-powered mobile experiences that provide real-time assistance, automated data capture, and predictive insights. You'll work across iOS, Android, and Kotlin Multiplatform (KMP) environments, embedding advanced AI features into user-friendly applications that perform flawlessly - even in challenging offline conditions. This position blends deep mobile engineering expertise with hands-on experience integrating large language models (LLMs) and on-device AI.

What You'll Do

Integrate AI capabilities and LLMs (OpenAI, Claude, Gemini) into native mobile apps for real-time reasoning and assistance.
Implement on-device AI using Core ML (iOS) and TensorFlow Lite (Android) to ensure reliable offline performance.
Lead the migration to Kotlin Multiplatform (KMP), building shared codebases that maintain platform-specific UI quality in SwiftUI and Jetpack Compose.
Design intelligent mobile workflows such as voice-to-text, image recognition, and predictive automation.
Optimize app performance for field conditions - ensuring low latency, efficient caching, and minimal resource usage.
Build intuitive, responsive UIs that deliver smooth, high-quality interactions across devices.
Collaborate closely with AI, backend, and product engineers to deliver measurable outcomes for end users.
Participate in agile rituals, share best practices, and contribute to continuous improvement initiatives., * Build AI-native mobile apps that are used daily by professionals in the field.
Lead and shape a cutting-edge Kotlin Multiplatform (KMP) migration.
Work with the latest mobile and AI technologies - from Core ML and TensorFlow Lite to LangChain and modern LLM APIs.
Collaborate in cross-functional squads focused on measurable user outcomes.
Be part of an environment that values innovation, autonomy, and continuous learning.

Requirements

Do you have experience in iOS?, Do you have a Master's degree?, * 4-6 years of experience in mobile development (iOS and/or Android).

Proven track record of shipping high-quality apps with outstanding user experience.
Solid knowledge of Kotlin, Swift, and platform SDKs (Android Studio, Xcode).
Experience or strong interest in Kotlin Multiplatform (KMP) for shared codebase development.
Hands-on experience integrating AI/ML features or APIs into mobile applications.
Understanding of Core ML, TensorFlow Lite, and mobile AI orchestration frameworks (LangChain, custom pipelines).
Strong foundation in MVVM, MVI, or Clean Architecture, dependency injection (Hilt/Dagger, Koin), and reactive programming (Combine, Kotlin Flow, RxSwift).
Experience building offline-first architectures with intelligent synchronization and caching.
Strong problem-solving mindset and the ability to design for complex, real-world use cases.

Nice to Have