Java Software Engineer

1. Role Summary

We need a Java Spring Boot backend developer who can build microservices, REST APIs, and also connect backend systems with AI/LLM APIs such as OpenAI or Azure OpenAI.

The person should be comfortable with Java, Spring Boot, databases, Kafka, Docker, and basic AI integration for intelligent automation use cases.

Job Title

Java Spring Boot Developer with AI Integration

Experience

4 to 6 years

Main Work

Backend development, microservices, REST APIs, Kafka, and AI API integration

AI Exposure

OpenAI/Azure OpenAI, Prompt Engineering, RAG, Embeddings, Vector DBs

Good Fit For

Java backend roles that need GenAI/LLM integration

What the Candidate Will Do

• Develop backend services using Java, Spring Boot, Spring MVC, and Microservices.
• Create REST APIs that are secure, fast, and easy to integrate with frontend or third-party systems.
• Use Kafka for event-driven communication between services.
• Work with MySQL, PostgreSQL, MongoDB, Hibernate/JPA, and Redis.
• Integrate OpenAI/Azure OpenAI APIs into backend workflows.
• Build simple AI features such as query assistants, structured responses, and automation workflows.
• Use Docker and CI/CD tools for build and deployment support.
• Write clean code, participate in Agile delivery, and support production-ready features.

• 4 to 6 years of experience
• Backend development with Java, Spring Boot, Spring MVC, and Microservices
• Build secure, fast REST APIs for frontend and third-party integration
• Use Kafka for event-driven communication between services
• Work with MySQL, PostgreSQL, MongoDB, Hibernate/JPA, and Redis
• Integrate OpenAI/Azure OpenAI APIs into backend workflows
• Build AI features such as query assistants, structured responses, and automation workflows
• Use Docker and CI/CD tools for build and deployment support
• Write clean code, participate in Agile delivery, and support production-ready features
• AI exposure: Prompt Engineering, RAG, Embeddings, Vector DBs