Java Full Stack Developer

Job Description: Java Full Stack Developer with Generative AI Experience
Location: Bangalore, Chennai, Hyderabad, Gurgaon and Pune
Experience: 6 to 12 Years
Notice Period: Immediate to 30 Days
Role Overview
We are looking for an experienced Java Full Stack Developer with strong expertise in Java, Spring Boot, Microservices, and React.js. The ideal candidate should also possess hands-on experience with Generative AI technologies, including Prompt Engineering, AI Agents, RAG (Retrieval-Augmented Generation), LangChain, and Large Language Model (LLM) integrations.
The candidate will play a key role in designing, developing, and modernizing enterprise applications while leveraging AI-powered solutions to improve business processes, automation, and developer productivity.
Key Responsibilities
Design, develop, and maintain scalable enterprise applications using Java, Spring Boot, and Microservices architecture.
Build and enhance responsive user interfaces using React.js.
Develop RESTful APIs and integrate third-party services and enterprise systems.
Design and implement cloud-native and distributed application architectures.
Develop and integrate Generative AI solutions, including:
Prompt Engineering
AI Agents
RAG-based applications
LangChain frameworks
LLM integrations (OpenAI, Azure OpenAI, Gemini, Claude, etc.)
Collaborate with business stakeholders, architects, and cross-functional teams to deliver high-quality solutions.
Ensure application performance, security, scalability, and reliability.
Participate in code reviews, design discussions, and technical mentoring.
Troubleshoot complex technical issues and optimize application performance.
Required Skills
Backend
Strong experience in Java 8/11/17
Spring Boot
Spring MVC
Spring Security
Microservices Architecture
REST APIs
JPA/Hibernate
Frontend
React.js
JavaScript/TypeScript
HTML5
CSS3
Bootstrap/Material UI
Database
SQL (Oracle, PostgreSQL, MySQL)
Database design and optimization
Cloud & DevOps
Azure/AWS/GCP
Docker
Kubernetes
CI/CD Pipelines
Git
Generative AI
Prompt Engineering
AI Agent Development
LangChain/LangGraph
RAG Architecture
Vector Databases (Pinecone, ChromaDB, FAISS, Azure AI Search)
LLM Integration and Fine-tuning Concepts
OpenAI/Azure OpenAI APIs

Work arrangement
Hybrid