Job Summary

We are seeking a highly skilled Senior Java Developer with robust 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

- Solid 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

📌 Java Backend Developer (AI & RAG) (Hyderabad)
🏢 Datagaps
📍 Hyderabad