Java Backend Developer (AI & RAG)

Job Summary

We are seeking a highly skilled Senior Java Developer with strong expertise in Java, Spring Boot, Microservices, Messaging Systems, Design Patterns, Multithreading, and Generative AI technologies. The ideal candidate should have hands-on experience in building scalable enterprise applications and working with RAG (Retrieval-Augmented Generation) based AI solutions.

Key Responsibilities

• Design, develop, and maintain scalable backend applications using Java and Spring Boot.
• Develop and consume RESTful APIs and Microservices.
• Implement secure applications using Spring Security/Spring Authentication.
• Work with messaging platforms such as Kafka Or RabbitMQ for event-driven architectures.
• Develop batch processing solutions using Spring Batch.
• Build and integrate AI/GenAI solutions, including RAG-based applications.
• Implement efficient multithreading and concurrency solutions for high-performance applications.
• Apply Design Patterns and software engineering best practices to deliver maintainable code.
• Optimize application performance, scalability, and reliability.
• Collaborate with architects, product teams, and stakeholders in designing enterprise solutions.
• Participate in code reviews and mentor junior developers.

Required Skills

• Strong experience in Java (Core Java 8/11/17+)
• Extensive experience with Spring Boot
• Strong knowledge of:
• Spring Security / Authentication & Authorization
• Spring Batch
• REST APIs & Microservices
• Hands-on experience with:
• Apache Kafka
• RabbitMQ
• Strong understanding of:
• Object-Oriented Programming (OOP)
• SOLID Principles
• Design Patterns (Factory, Builder, Strategy, Observer, Singleton, etc.)
• Expertise in:
• Multithreading
• Concurrency
• Collections Framework
• Exception Handling
• Experience working with SQL databases.
• Good understanding of CI/CD and Agile methodologies.

AI/GenAI Requirements

• Hands-on experience with Generative AI solutions.
• Knowledge of RAG (Retrieval-Augmented Generation) frameworks and architectures.
• Experience with:
• LLM Integration
• LangChain/LlamaIndex (preferred)
• Vector Databases (Pinecone, ChromaDB, Weaviate, FAISS)
• Prompt Engineering

Preferred Skills

• Cloud experience (AWS/Azure/GCP)
• Docker & Kubernetes
• Elasticsearch
• Knowledge of AI-powered enterprise application development