Posted 18 June, 2026
Java full stack
NR Consulting
PAN India
Full Time
Reference: 365_463738_26-06565
Title: Java full stack
Location: PAN India
Exp: 3-5 years
Job Description:
Key Responsibilities
Design, develop, and maintain scalable full-stack applications using Java, Spring Boot, and React.js.
Build and consume RESTful APIs and microservices architectures.
Develop responsive and user-friendly web applications using React, JavaScript, TypeScript, HTML5, and CSS3.
Integrate Generative AI/LLM solutions into enterprise applications.
Develop AI-powered features such as chatbots, intelligent search, summarization, content generation, and recommendation systems.
Work with AI frameworks and APIs such as OpenAI, LangChain, LlamaIndex, Hugging Face, or similar platforms.
Implement Retrieval-Augmented Generation (RAG) architectures and vector databases.
Collaborate with product owners, architects, and cross-functional teams to gather requirements and deliver solutions.
Participate in code reviews, testing, debugging, and performance optimization activities.
Ensure application security, scalability, and adherence to coding standards.
Contribute to CI/CD pipelines and cloud-native deployments.
Required Skills
Backend
Strong experience in Java 8/11/17 and Spring Boot.
Expertise in Microservices architecture.
Experience with REST APIs, Spring Security, JPA/Hibernate.
Knowledge of Kafka, RabbitMQ, or other messaging platforms.
Frontend
Strong hands-on experience with React.js.
Proficiency in JavaScript, TypeScript, HTML5, CSS3.
Experience with Redux, Context API, Material UI, or similar frameworks.
GenAI / AI
Experience working with Large Language Models (LLMs).
Knowledge of RAG, prompt engineering, embeddings, vector databases.
Experience integrating OpenAI, Azure OpenAI, Anthropic, Gemini, or similar AI services.
Familiarity with LangChain, LlamaIndex, Semantic Kernel, or AI orchestration frameworks.
Understanding of AI model evaluation, monitoring, and optimization.
Database
SQL databases: PostgreSQL, MySQL, Oracle.
NoSQL databases: MongoDB, DynamoDB (preferred).
Cloud & DevOps
Experience with AWS, Azure, or Google Cloud Platform.
Knowledge of Docker, Kubernetes, Jenkins, GitHub Actions, or similar CI/CD tools.
Preferred Qualifications
Experience building AI-powered enterprise applications.
Knowledge of MLOps concepts and AI deployment strategies.
Familiarity with vector databases such as Pinecone, Weaviate, ChromaDB, or FAISS.
Experience with Agile/Scrum methodologies.
Bachelor's or Master's degree in Computer Science, Engineering, or related field
Location: PAN India
Exp: 3-5 years
Job Description:
Key Responsibilities
Design, develop, and maintain scalable full-stack applications using Java, Spring Boot, and React.js.
Build and consume RESTful APIs and microservices architectures.
Develop responsive and user-friendly web applications using React, JavaScript, TypeScript, HTML5, and CSS3.
Integrate Generative AI/LLM solutions into enterprise applications.
Develop AI-powered features such as chatbots, intelligent search, summarization, content generation, and recommendation systems.
Work with AI frameworks and APIs such as OpenAI, LangChain, LlamaIndex, Hugging Face, or similar platforms.
Implement Retrieval-Augmented Generation (RAG) architectures and vector databases.
Collaborate with product owners, architects, and cross-functional teams to gather requirements and deliver solutions.
Participate in code reviews, testing, debugging, and performance optimization activities.
Ensure application security, scalability, and adherence to coding standards.
Contribute to CI/CD pipelines and cloud-native deployments.
Required Skills
Backend
Strong experience in Java 8/11/17 and Spring Boot.
Expertise in Microservices architecture.
Experience with REST APIs, Spring Security, JPA/Hibernate.
Knowledge of Kafka, RabbitMQ, or other messaging platforms.
Frontend
Strong hands-on experience with React.js.
Proficiency in JavaScript, TypeScript, HTML5, CSS3.
Experience with Redux, Context API, Material UI, or similar frameworks.
GenAI / AI
Experience working with Large Language Models (LLMs).
Knowledge of RAG, prompt engineering, embeddings, vector databases.
Experience integrating OpenAI, Azure OpenAI, Anthropic, Gemini, or similar AI services.
Familiarity with LangChain, LlamaIndex, Semantic Kernel, or AI orchestration frameworks.
Understanding of AI model evaluation, monitoring, and optimization.
Database
SQL databases: PostgreSQL, MySQL, Oracle.
NoSQL databases: MongoDB, DynamoDB (preferred).
Cloud & DevOps
Experience with AWS, Azure, or Google Cloud Platform.
Knowledge of Docker, Kubernetes, Jenkins, GitHub Actions, or similar CI/CD tools.
Preferred Qualifications
Experience building AI-powered enterprise applications.
Knowledge of MLOps concepts and AI deployment strategies.
Familiarity with vector databases such as Pinecone, Weaviate, ChromaDB, or FAISS.
Experience with Agile/Scrum methodologies.
Bachelor's or Master's degree in Computer Science, Engineering, or related field
