Key Responsibilities: Java Engineering & Delivery - Design, develop, test, and maintain Java-based applications and services aligned with business requirements. - Build reusable components and follow clean coding practices, ensuring maintainability and performance. - Write unit and integration tests, participate in code reviews, and ensure high-quality releases. - Troubleshoot production issues, perform root-cause analysis, and implement preventive fixes. Generative AI Integration - Implement Generative AI features by integrating model APIs into Java applications with secure and reliable patterns. - Develop prompt strategies and response handling (validation, formatting, guardrails) to improve output quality. - Collaborate with stakeholders to identify GenAI use cases and deliver prototypes that can be productionized. - Monitor and iterate on GenAI features based on accuracy, latency, cost, and user feedback. Collaboration & Process - Work in an agile environment, contributing to sprint planning, estimation, and timely delivery. - Document designs, APIs, and operational runbooks to support long-term ownership and team efficiency. Minimum Qualifications: - B.Tech / M.Tech / M.Sc or equivalent in Computer Science, Engineering, or a related field. - 3–5 years of hands-on experience in Java development, delivering production-grade applications. - Strong understanding of OOP, data structures, exception handling, and performance considerations in Java. - Practical experience integrating Generative AI capabilities into applications (e.g., using model APIs) and handling responses safely. - Experience with testing practices, debugging, and collaborating through code reviews and version control.