We are launching a high-intensity hiring challenge to identify the next generation of AI Native Java Developers engineers who dont just write code, but know how to collaborate with AI to build production-grade systems faster and smarter.
If you use tools like Cursor, GitHub Copilot, Claude, ChatGPT, Windsurf, or other AI coding assistants as part of your daily workflow, this hiring drive is designed for you.
Key Responsibilities
AI-Augmented Engineering
- Build backend systems using AI copilots like GitHub Copilot, Cursor, and ChatGPT
- Use AI for code generation, refactoring, test case generation, performance tuning, and documentation
- Apply prompt engineering and context engineering to produce production-grade output
- Continuously experiment with AI tooling to improve development velocity
Core Backend Engineering
- Design and develop scalable Java backend service
- Architect Microservices using Spring Boot
- Implement REST APIs, transaction management, and concurrency handling
- Work with relational databases and JPA/Hibernate
- Contribute to scalable,
cloud-ready system
AI-Aware System Design
- Design systems that can integrate with AI agent
- Think in automation layer
- Build APIs that are AI-consumable
- Collaborate in building AI-powered enterprise workflow
Required Qualification
- 4-8 years of skilled experience in Java backend development
- Strong proficiency in Java, Spring Boot, and Microservices architecture
- Hands-on experience with REST API design and implementation
- Working knowledge of relational databases, JPA/Hibernate, and SQ
- Active daily usage of AI coding assistants (GitHub Copilot, Cursor, ChatGPT, or similar
- Understanding of prompt engineering and context engineering principle
- Experience with transaction management and concurrency handling
- Familiarity with cloud platforms and containerization
Preferred Skills
- Experience building AI-integrated or AI-consumable API
- Knowledge of LLM capabilities and lim