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.

Education: MCA,MSc,Bachelor of Engineering,BCA,BSc

• Preferred skills: Technology->Artificial Intelligence->Artificial Intelligence
• ALL,Technology->Java->Java
• ALL