VTION - Android Developer - Java/Kotlin

VTION.AI; Gurugram District; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

VTION.AI is seeking an Android Developer with 1-4 years of experience to build and integrate Generative AI and LLM-powered features into mobile apps. The role involves designing, testing, and maintaining Android applications using Kotlin and Java, and collaborating with Product, Design, Data Science, and Engineering teams to deliver innovative AI-driven solutions.

The ideal candidate will have strong Kotlin/Android SDK skills, familiarity with MVVM, REST APIs, Java, and hands-on experience with

Qualifications

• Bachelor's degree in CS, Engineering, IT or related field.
• 2-5 years of hands-on Android development experience.
• Proficiency in Kotlin and Android SDK.
• Experience with Android Jetpack, MVVM, and modern development practices.
• Strong REST APIs and JSON integration experience.
• Git and CI/CD pipelines experience.
• Knowledge of LLMs and Generative AI concepts.
• Exposure to AI platforms such as OpenAI, Gemini, Claude, Llama, or similar models.
• Prompt engineering and AI workflows familiarity.
• Familiarity with Firebase, cloud platforms, and analytics tools.

Responsibilities

• Design, develop, test, and maintain high-performance Android applications using Kotlin and Java.
• Integrate LLMs and Generative AI capabilities into Android applications via 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.

Skills

Kotlin

Android SDK

Jetpack (Android)

MVVM

REST APIs

JSON

Git

CI/CD

LLMs

Generative AI

Prompt engineering

Firebase

Cloud platforms

Analytics tools

Education

Bachelor's degree in CS/Engineering/IT

Tools

OpenAI

Gemini

Claude

Llama

APIs

Job description

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.

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)