Zycus Off Campus Drive 2026: Multiple Roles

Zycus Off Campus Drive 2026 – Details:

Zycus Off Campus Drive 2026 for AI-Native Java Engineer – Graduate Trainee:

Detailed Eligibility:

AI-Native Java Engineer – Graduate Trainee:

Eligibility Criteria:

• BE/B.Tech in Computer Science, Information Technology, Electronics, AI/ML, Data Science, or related branches.
• Graduating in 2026.
• Academic Requirement: Minimum 80% (or equivalent CGPA) in 10th, 12th, and BE/B.Tech, with no active backlogs and no history of backlogs/arrears.
• Strong understanding of Data Structures & Algorithms, Object-Oriented Programming (OOP), DBMS, Operating Systems, and Computer Networks.
• Good programming skills in Java (preferred) or any object-oriented programming language.
• Strong analytical and problem-solving abilities.
• Excellent communication skills and a passion for learning new technologies.
• Demonstrated interest in AI-assisted software development through projects, hackathons, internships, coding competitions, or open-source contributions.

Technical Skills (Preferred):

• Strong fundamentals of Java programming.
• Basic knowledge of Spring Boot or backend development frameworks.
• Understanding of REST APIs and web technologies.
• Knowledge of SQL and relational databases.
• Familiarity with Git and version control systems.
• Exposure to cloud platforms, Docker, Kubernetes, or AI development tools is a plus.
• Personal projects, hackathons, internships, or open-source contributions are highly valued.

Who We Are Looking For

This role is ideal for students and fresh graduates who:

• Have a strong foundation in programming and computer science fundamentals.
• Enjoy solving problems and building software applications.
• Use AI tools such as ChatGPT, GitHub Copilot, Cursor, Gemini, or similar tools for learning, coding, and productivity.
• Are eager to learn modern backend technologies and AI-driven development practices.
• Have a growth mindset and are excited to work on cutting-edge enterprise software.

Key Responsibilities:

AI-Augmented Engineering:

• Use AI tools to assist in coding, debugging, testing, documentation, and learning new technologies.
• Learn and apply prompt engineering techniques to improve development productivity.
• Collaborate with senior engineers to build production-grade software using AI-assisted workflows.
• Continuously explore emerging AI tools and best practices.

Backend Engineering:

• Develop and maintain backend applications using Java and Spring Boot.
• Build REST APIs and microservices under the guidance of experienced engineers.
• Work with databases, data models, and application integrations.
• Write clean, maintainable, and testable code.
• Participate in code reviews and engineering discussions.

AI-Aware Development:

• Learn how AI-powered applications and agent-based systems are designed.
• Contribute to building APIs and services that can interact with AI systems.
• Gain exposure to enterprise-scale AI workflows and automation platforms.

• BE/B.Tech
• Graduating in 2026
• Minimum 80% (or equivalent CGPA) in 10th, 12th, and BE/B.Tech, with no active backlogs and no history of backlogs/arrears
• Strong understanding of Data Structures & Algorithms, Object-Oriented Programming (OOP), DBMS, Operating Systems, and Computer Networks
• Good programming skills in Java (preferred) or any object-oriented programming language
• Strong analytical and problem-solving abilities
• Excellent communication skills and a passion for learning new technologies
• Demonstrated interest in AI-assisted software development through projects, hackathons, internships, coding competitions, or open-source contributions
• Basic knowledge of Microsoft Entra ID
• Comfortable working hands-on in macOS environments
• Strong communication, documentation, and problem-solving skills
• Eagerness to learn enterprise IT support practices
• Any Microsoft fundamentals certification (MS-900/SC-900/AZ-900)
• Basic scripting exposure (PowerShell/shell)
• Personal or academic projects (GitHub, hackathons, etc.) involving AI/chatbots/automation.
• Participation in AI communities, competitions, or meetups.