Android Developer - Java/Kotlin
VTION.ai
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.- 2-6 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. (ref:hirist.tech)
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