Zycus Careers 2026 Hiring AI-Native Java Engineer – Graduate Trainee
Zycus Careers 2026 brings an exciting career opportunity for fresh graduates and aspiring software engineers interested in Java development and artificial intelligence. Zycus is hiring for the position of AI-Native Java Engineer – Graduate Trainee, offering candidates an opportunity to develop their programming skills and gain exposure to modern software engineering and AI-driven technologies. Interested applicants can check the eligibility criteria, educational qualifications, required technical skills, job responsibilities, and selection process before applying. Candidates with knowledge of Java programming, software development, and problem-solving can explore this opportunity based on the specific job requirements. If you are looking for the latest graduate trainee and software engineering jobs in 2026, visit the official Zycus Careers portal for detailed vacancy information and application instructions.
Job Details:
- Designation: AI-Native Java Engineer – Graduate Trainee
- Company: Zycus
- Educational Qualification: B.E/B.Tech
- Experience Required: 0 – 1 Year
- Location: Bangalore, India
- Compensation: Best in Industry
Job Description:
Zycus is transforming enterprise procurement through AI-native architecture. At the core of our platform is Merlin AI, an agentic AI engine powering autonomous workflows across Source-to-Pay. We are building enterprise software where AI is not a feature—it is the foundation.
We are looking for passionate and curious BE/B.Tech 2026 graduates who are excited about building scalable software and leveraging AI to become highly productive engineers.
Requirements:
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.
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.
Bonus Points If You Have:
- Built projects using AI tools, LLMs, Agentic AI frameworks, or GenAI APIs.
- Participated in coding competitions, hackathons, or technical challenges.
- Developed web, mobile, or full-stack applications.
- Experience contributing to GitHub projects or open-source communities.
- Written technical blogs, research papers, or shared technical content publicly.
- Demonstrated strong curiosity for AI-assisted software development and emerging technologies.
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.
Interested students can apply directly at 👉 Zycus Careers 2026
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