AI-Native Java Engineer – Graduate Trainee (2026 Passouts) at Zycus

Zycus is hiring for AI-Native Java Engineer – Graduate Trainee (2026 Passouts) in Bengaluru (hybrid).

Experience asked: “Experience: 0-1 Years”

Requires 80%+ marks and no backlogs. The page gave no explicit accepting-applications signal when checked.

The listing shows no closing date, so apply early. Use the Apply button on this page to go to the company listing.

About the role

Zycus, a procurement software company, is hiring a Graduate Trainee for its AI-native Java engineering team in Bengaluru. The role is hybrid and full-time. It is aimed at recent graduates who will build backend software and learn to use AI tools in daily development work.

What you will do

  • Use AI tools for coding, debugging, testing, documentation and learning, and build prompt-engineering skill.
  • Build and maintain Java and Spring Boot backend applications, including REST APIs and microservices, guided by senior engineers.
  • Work with databases, data models and integrations, and write clean, testable code.
  • Take part in code reviews and technical discussions.
  • Learn how AI-powered and agent-based systems are designed and help build APIs that connect to them.

Eligibility

  • BE/B.Tech in computer science, IT, electronics, AI/ML, data science or a related field, graduating in 2026.
  • At least 80% (or equivalent CGPA) in 10th, 12th and graduation.
  • No active backlogs and no history of backlogs.
  • Good grounding in data structures, algorithms, OOP, DBMS, operating systems and computer networks.

Skills

  • Strong Java fundamentals; basic Spring Boot or another backend framework.
  • REST APIs, SQL and relational databases, Git.
  • A plus: cloud, Docker, Kubernetes, AI development tools, LLM or GenAI projects, hackathons, open-source work.

How to apply

The application has three steps: personal information, pre-screening questions and a resume upload (.docx or .pdf, up to 5 MB). The page lists no salary or formal benefits; it mentions mentorship and work on enterprise AI products.

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