Android Developer - Java/Kotlin

Role Overview :

We are seeking an Android Developer with 14 years of experience who is excited about integrating Generative AI and LLM-powered capabilities into mobile applications.

The ideal candidate should have strong Android development skills, a good understanding of AI/ML concepts, and a passion for building innovative user experiences powered by modern AI technologies.

Key Responsibilities :

• Design, develop, test, and maintain high-performance Android applications using Kotlin and Java.
• Integrate LLMs and Generative AI capabilities into Android applications through APIs and SDKs.
• Develop AI-powered features such as chat interfaces, content generation, summarization, recommendation engines, and intelligent assistants.
• Collaborate with Product, Design, Data Science, and Engineering teams to define and implement innovative solutions.
• Optimize application performance, scalability, and security.
• Work with RESTful APIs, cloud services, and backend systems.
• Monitor, troubleshoot, and resolve application issues.
• Stay updated with emerging trends in Android development, Generative AI, and LLM ecosystems.

Required Skills & Qualifications :

• Bachelor's degree in Computer Science, Engineering, Information Technology, or related field.
• 14 years of hands-on experience in Android application development.
• Strong proficiency in Kotlin and Android SDK.
• Experience with Android Jetpack components, MVVM architecture, and modern Android development practices.
• Good understanding of REST APIs and JSON-based integrations.
• Experience working with Git and CI/CD pipelines.
• Understanding of Large Language Models (LLMs) and Generative AI concepts.
• Exposure to AI platforms such as OpenAI, Gemini, Claude, Llama, or similar models.
• Knowledge of prompt engineering and AI application workflows.
• Familiarity with Firebase, cloud platforms, and analytics tools.

Preferred Qualifications :

• Experience integrating AI/LLM APIs into mobile applications.
• Exposure to Retrieval-Augmented Generation (RAG) architectures.
• Understanding of vector databases and semantic search concepts.
• Experience with on-device AI models and AI inference optimization.
• Knowledge of Python, backend development, or AI frameworks is a plus.
• Contributions to personal AI projects, hackathons, or open-source initiatives.