Zycus Hiring AI-Native Java Engineer – Graduate Trainee in Bangalore | Hybrid
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Job description
What you’ll do in this role
Job Overview
Zycus is hiring an AI-Native Java Engineer – Graduate Trainee for its Software Engineering team in Bangalore. This is a full-time hybrid opportunity intended for candidates graduating in 2026 who want to build backend software and learn how AI-assisted engineering is used in enterprise products.
Zycus develops Source-to-Pay procurement software for enterprise customers. Its Merlin AI platform supports intelligent workflows and automation across procurement-related processes. In this role, graduates will learn from experienced engineers while contributing to software development and gaining exposure to AI-aware engineering practices.
Key Responsibilities
AI-Augmented Engineering
- Use AI development tools to support coding, debugging, testing, documentation, and learning unfamiliar technologies.
- Explore prompt engineering techniques that can make development tasks more effective.
- Work with senior engineers and follow AI-assisted development workflows while building production-oriented software.
- Keep learning about emerging AI tools and responsible engineering practices.
Backend Engineering
- Develop and maintain backend applications using Java and Spring Boot with guidance from experienced team members.
- Help build REST APIs and microservices.
- Work with databases, data models, and application integrations.
- Write code that is clean, maintainable, and testable.
- Participate in code reviews and technical discussions with the engineering team.
AI-Aware Development
- Learn how AI-powered applications and agent-based systems are designed.
- Contribute to APIs and services that interact with AI systems.
- Build familiarity with enterprise AI workflows and automation platforms.
Eligibility Criteria
- Must be a B.E. or B.Tech student graduating in 2026.
- Eligible disciplines include Computer Science, Information Technology, Electronics, Artificial Intelligence and Machine Learning, Data Science, and related branches.
- Must have at least 80% or equivalent CGPA in each of Class 10, Class 12, and B.E./B.Tech.
- Must have no active backlogs and no history of backlogs or arrears.
- Should understand Data Structures and Algorithms, Object-Oriented Programming, Database Management Systems, Operating Systems, and Computer Networks.
- Should have good programming skills, preferably in Java or another object-oriented language.
- Should demonstrate analytical thinking, problem-solving ability, communication skills, and willingness to learn.
- Interest in AI-assisted software development may be demonstrated through projects, hackathons, internships, coding competitions, or open-source contributions.
Required and Preferred Technical Skills
- Java: Strong fundamentals in Java programming are preferred.
- Spring Boot: Basic familiarity with Spring Boot or another backend development framework is useful.
- REST APIs: Understanding of REST API concepts and web technologies is preferred.
- SQL and relational databases: Familiarity with querying data and working with relational database concepts is beneficial.
- Git: Familiarity with version control and collaborative code workflows is preferred.
- Cloud and containers: Exposure to cloud platforms, Docker, or Kubernetes is an advantage.
- AI development tools: Experience using tools such as ChatGPT, GitHub Copilot, Cursor, Gemini, or similar tools for learning and development is relevant to the role.
- AI and generative AI: Projects involving LLMs, agentic AI frameworks, or generative AI APIs can strengthen an application.
Projects and Additional Experience
Personal projects, hackathons, technical challenges, internships, and open-source contributions are valued. Candidates may also highlight web, mobile, or full-stack applications, contributions to GitHub projects, technical blogs, or research papers. These activities can help demonstrate practical problem-solving skills and a genuine interest in software engineering and AI-assisted development.
What You Can Learn in This Role
The position offers exposure to real-world AI-native enterprise software from the start of a graduate engineering career. Trainees can work with experienced engineers and gain practical familiarity with Java, microservices, cloud technologies, AI/ML, and agentic AI concepts as part of the team’s software engineering work.
Zycus describes its engineering culture as focused on innovation, ownership, continuous learning, and engineering quality. The role is intended for graduates who want to build scalable software and understand how AI tools can support day-to-day development work.
Work Mode and Location
Location: Bangalore, Karnataka.
Work mode: Hybrid.
Employment type: Full-time.
Experience range: 0–1 years.
Who Should Apply
This opportunity is suited to 2026 B.E./B.Tech graduates who meet the academic and backlog requirements, have a sound foundation in computer science, and are interested in Java backend engineering. Applicants should be curious, analytical, comfortable learning new tools, and interested in using AI-assisted workflows to improve how they build and test software.
Before applying, check that your academic scores meet the stated 80% or equivalent CGPA requirement across all three education stages and that you meet the no-backlog condition. Highlight relevant programming projects, Java knowledge, backend or API work, version-control experience, and any AI-related experimentation in your resume.
How to Apply
Prepare your resume in PDF or DOCX format and ensure the file is no larger than 5 MB, as specified in the application form. Submit your application through the official Zycus job application page.
Apply now through SoftoJobs to explore this opportunity.
Eligibility
Education, passing batch and experience
Education
B.E. — Computer Science Engineering / Computer Science / Information Technology / Computer Engineering / Information Science / Software Engineering / Artificial Intelligence / Artificial Intelligence and Machine Learning / Machine Learning / Data Science / Electronics and Communication Engineering / Electronics Engineering · B.Tech — Computer Science Engineering / Computer Science / Information Technology / Computer Engineering / Information Science / Software Engineering / Artificial Intelligence / Artificial Intelligence and Machine Learning / Machine Learning / Data Science / Electronics and Communication Engineering / Electronics Engineering
Passing Batch
2026, 2025
Experience
0 - 1 years (Freshers welcome)
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