About RADIUS

RADIUS is an AI-powered Omnichannel Interaction System designed to transform customer experience across enterprises. It seamlessly integrates voice, chat, email, social, and messaging channels into a unified platform, enabling organizations to deliver intelligent, real-time, and personalized customer engagement at scale.

Role Overview

We are looking for a skilled Java Developer with 3–5 years of experience to build scalable backend systems and real-time applications. This role also offers the opportunity to work on cutting-edge AI-driven capabilities, including generative AI integrations. You will play a key role in designing high-performance systems, developing intelligent features, and collaborating across product, AI, and DevOps teams.

Key Responsibilities

• Design and develop scalable, high-performance backend systems
• Build and maintain RESTful APIs using Spring Boot
• Develop real-time communication systems using WebSocket and Socket Programming
• Implement efficient data access layers using JDBC and Hibernate (JPA)
• Apply multithreading and concurrency to optimize system performance
• Develop AI-powered features such as chatbots and automation tools
• Design and implement RAG (Retrieval-Augmented Generation) pipelines
• Integrate LLMs and external AI APIs into backend services
• Optimize system performance, scalability, and reliability
• Troubleshoot production issues and perform root cause analysis
• Mentor junior developers and contribute to architecture discussions
• Collaborate with Product, AI/ML, and DevOps teams

Core Technical Skills

Backend Development

• Java (8+/17+)
• Spring Boot, Spring MVC
• Hibernate, JPA
• JDBC, SQL (MySQL / PostgreSQL)
• Kafka / Apache Flink

Core Java & Concurrency

• OOP, Collections, Exception Handling
• Java Streams & Lambda
• Multithreading & Concurrency:
• Thread lifecycle
• Synchronization & locks
• Executors & thread pools
• Atomic variables, volatile
• Thread safety, race conditions, deadlocks

Real-Time & Networking

• Socket Programming (TCP/IP)
• Java Sockets (Socket, ServerSocket)
• WebSocket protocol
• Spring WebSocket / STOMP

Generative AI & Advanced Capabilities

• Understanding of Generative AI concepts
• Experience or knowledge of RAG architecture
• Working with embeddings and vector search
• Semantic / similarity search implementation
• Integration with LLM APIs (e.g., OpenAI)
• Prompt engineering fundamentals
• Context handling and token optimization
• Designing AI pipelines (data → embeddings → retrieval → response)

APIs & Tools

• REST APIs, JSON, HTTP/HTTPS
• Git (GitHub / GitLab), SVN

Nice to Have Skills

• Microservices and distributed systems
• Messaging systems (Kafka, RabbitMQ)
• Spring Security
• Event-driven / asynchronous architecture
• Unit testing (JUnit, Mockito)
• CI/CD (Jenkins, GitHub Actions)
• Docker / Kubernetes
• Redis / caching
• LangChain or similar frameworks
• Python for AI workflows

What Makes You a Great Fit

• Strong problem-solving mindset
• Bachelor’s degree in Computer Science / IT or related field
• Ability to design scalable and intelligent systems
• Good communication and collaboration skills
• Ownership and mentorship attitude
• Adaptability to evolving AI technologies

Ready to build intelligent, scalable systems and work at the intersection of backend engineering and AI? Join RADIUS and shape the future of customer experience technology.