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Android Developer

ESTIDAMA UAE
Abu Dhabi, UAE
fulltime
Mid-Senior
2 months ago
JavaKotlinScala
Free

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Overview

🚀Android Developer

Kotlin

+

Java

+

Android Sdk

  • **Jetpack + AI**
  • 📍Location:

Abu Dhabi, United Arab Emirates

💼 Employment Type:

Full‑time

👔 Experience Level:

Mid to Senior (3+ years)

About The Role

We’re looking for a skilled

Android Developer

who can build high‑quality, scalable, and user‑centric mobile applications.

This role is ideal for someone who thrives in a fast‑moving environment and is excited about integrating

AI‑driven features

into modern mobile products.

You’ll work closely with product, design, and backend teams to deliver seamless experiences to users across the region.

Key Responsibilities

  • Design, develop, and maintain advanced Android applications using

Kotlin

and

Java

  • .
  • Collaborate with cross‑functional teams to define, design, and ship new features.
  • Integrate
  • AI/ML components
  • , APIs, or SDKs into mobile applications (preferred).
  • Ensure application performance, quality, and responsiveness.
  • Identify and fix bugs, performance bottlenecks, and usability issues.
  • Write clean, maintainable, and testable code following best practices.
  • Participate in code reviews and contribute to continuous improvement.
  • Stay updated with the latest Android development trends, tools, and frameworks.

Required Qualifications

  • **3+ years of professional Android development experience**
  • .
  • Strong proficiency in

Kotlin

(primary) and

Java

  • .
  • Solid understanding of Android SDK, Jetpack components, and modern app architecture (MVVM, Clean Architecture).
  • Experience with RESTful APIs, JSON, and third‑party libraries.
  • Familiarity with Git, CI/CD pipelines, and agile development workflows.
  • Strong debugging, optimization, and problem‑solving skills.
  • Ability to work independently and collaboratively in a team environment.

Preferred Skills (AI‑Related)

  • Experience integrating
  • AI/ML models
  • into mobile apps (TensorFlow Lite, ML Kit, on‑device inference, etc.).
  • Understanding of LLMs, embeddings, or AI‑powered features such as chatbots, recommendations, or image processing.
  • Exposure to cloud‑based AI services (Azure, Google Cloud, AWS).
  • Interest in experimenting with emerging AI technologies.

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