Java Backend Developer (AI & RAG)

Datagaps; Hyderabad; Hybrid; INR 2,300,000 - 4,200,000; Full time

Job summary

Datagaps in Hyderabad, India is seeking a Senior Java Developer with hands-on expertise in Java, Spring Boot, microservices, and Generative AI technologies to build scalable enterprise applications and RAG-based AI solutions.

The role focuses on designing backend systems, RESTful APIs, secure auth, messaging with Kafka/RabbitMQ, batch processing with Spring Batch, multithreading, and applying design patterns. Collaboration with architects and product teams is essential.

Qualifications

• Proven experience with Java, Spring Boot, and microservices in enterprise-grade applications.
• Hands-on experience with messaging systems (Kafka or RabbitMQ) and RESTful API design.
• Strong knowledge of multithreading, concurrency, and design patterns.
• Experience integrating AI/GenAI and RAG-based architectures.
• Familiarity with CI/CD and Agile methodologies.
• Experience with SQL databases and batch processing (Spring Batch).

Responsibilities

• Design, develop, and maintain scalable backend applications using Java and Spring Boot.
• Develop and consume RESTful APIs and microservices.
• Implement security using Spring Security/Spring Authentication.
• Work with messaging platforms for event-driven architectures.
• Develop batch processing with Spring Batch.
• Build and integrate GenAI/RAG-based AI solutions.
• Implement efficient multithreading and concurrency.
• Apply design patterns and best practices to deliver maintainable code.
• Optimize performance, scalability, and reliability.
• Collaborate with architects and product teams; participate in code reviews; mentor juniors.

Skills

Java

Spring Boot

REST APIs

Microservices

Multithreading

Concurrency

OOP

SOLID Principles

Design Patterns

SQL Databases

CI/CD

Agile Methodologies

Generative AI

RAG (Retrieval-Augmented Generation)

Tools

Apache Kafka

RabbitMQ

Spring Batch

LangChain

LlamaIndex

Vector Databases (Pinecone, ChromaDB, Weaviate, FAISS)

Docker

Kubernetes

Job description

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