Java AI

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.