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Senior Mobile Engineer – AI Integration
pplwise
full-time
Posted on:
Location Type: Remote
Location: Remote • 🇩🇪 Germany
Visit company websiteJob Level
Senior
Tech Stack
AndroidDaggeriOSKotlinRxSwiftSwiftTensorflow
About the role
- 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.
Requirements
- 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.
Benefits
- 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.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
KotlinSwiftCore MLTensorFlow LiteKotlin MultiplatformMVVMMVIClean Architecturedependency injectionreactive programming
Soft skills
problem-solvingcollaborationcommunicationleadershipagile methodologies
