Role Overview
We are seeking an Android Developer with 1 - 4 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 - 5 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)
IN
