Zycus Off Campus Drive 2026 – AI-Native Java Engineer
Zycus
Experience0–1 Year
QualificationB.E/B.Tech
Key Responsibilities
- Use AI tools to support coding, debugging, testing and documentation.
- Use AI-assisted workflows for learning new technologies and improving development productivity.
- Learn and apply prompt engineering techniques.
- Collaborate with senior engineers on production-grade software development.
- Explore emerging AI tools and software engineering best practices.
- 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.
- Learn how AI-powered applications and agent-based systems are designed.
- Contribute to APIs and services that can interact with AI systems.
- Gain exposure to enterprise-scale AI workflows and automation platforms.
Skills & Eligibility
- Candidates interested in the Zycus Off Campus Drive 2026 should carefully review the eligibility requirements before applying.
- Must have a B.E/B.Tech degree.
- Eligible branches include Computer Science, Information Technology, Electronics, AI/ML, Data Science and related disciplines.
- Must be graduating in the 2026 batch .
- Minimum 80% or equivalent CGPA is required in 10th, 12th and B.E/B.Tech.
- Candidates must have no active backlogs .
- Candidates must have no history of backlogs or arrears .
- Experience range mentioned for the position is 0–1 year .
- Strong understanding of DSA, OOP, DBMS, Operating Systems and Computer Networks is required.
- Good programming skills in Java or another object-oriented programming language are expected.
- Strong analytical and problem-solving skills are required.
- Good communication skills and willingness to learn new technologies are important.
- Demonstrated interest in AI-assisted software development through projects, internships, hackathons, competitions or open-source work is valued.
- The AI-Native Java Engineer role combines core computer science knowledge, Java development and modern AI-assisted engineering practices.
- Java: Strong fundamentals of Java programming and object-oriented development.
- Data Structures & Algorithms: Ability to solve programming and engineering problems efficiently.
- OOP: Understanding of classes, objects, inheritance, abstraction, encapsulation and polymorphism.
- Spring Boot: Basic knowledge of backend application development is preferred.
- REST APIs: Understanding of API design and web application communication.
- SQL: Knowledge of relational databases and SQL queries.
- Git: Familiarity with version control and collaborative development.
- Cloud and Containers: Exposure to cloud platforms, Docker or Kubernetes is an advantage.
- AI Development Tools: Familiarity with AI tools used for coding, learning and productivity is valued.
- Projects involving AI tools, LLMs or Generative AI APIs .
- Experience with Agentic AI frameworks .
- Participation in coding competitions or hackathons.
- Development of web, mobile or full-stack applications.
- Contributions to GitHub or open-source communities.
- Technical blogs, research papers or publicly shared technical content.
- Strong curiosity about AI-assisted software development.
- Candidates should have a B.E/B.Tech degree in Computer Science, Information Technology, Electronics, AI/ML, Data Science or a related branch and should graduate in 2026.
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