Job Details
- Company: Zycus
- Job Position: AI-Native Java Engineer – Graduate Trainee
- Job Location: Bengaluru, Karnataka, India
- Job ID: JL4X3D2BL
- Department: Software Engineering
- Qualification: BE/B.Tech in Computer Science, IT, Electronics, AI/ML, Data Science, or a related branch
- Eligible Batch: 2026 graduates
- Experience: 0–1 years
- Employment Type: Full-time
- Work Mode: Hybrid
- Academic Requirements: Minimum 80% or equivalent CGPA in Class 10, Class 12, and BE/B.Tech, with no active or previous backlogs/arrears.
- Salary: Not disclosed in the provided job description. The exact compensation should be confirmed through the official recruitment process.
Job Overview
Zycus is hiring 2026 graduates for its AI-Native Java Engineer – Graduate Trainee position in Bengaluru. This opportunity is designed for fresh graduates who have strong programming fundamentals and an interest in backend development and artificial intelligence. Selected candidates will work with Java, Spring Boot, REST APIs, databases, and microservices while using AI tools to improve coding, debugging, testing, and productivity. The role offers exposure to enterprise software, cloud technologies, and AI-powered automation, making it suitable for candidates who want to build a career in modern software engineering.
Key Responsibilities
- Use AI tools to support coding, debugging, testing, and technical documentation.
- Apply prompt engineering techniques to improve software development productivity.
- Develop backend applications using Java and Spring Boot.
- Build REST APIs and microservices under the guidance of senior engineers.
- Work with databases, data models, and application integrations.
- Write clean, maintainable, and testable code.
- Participate in code reviews and technical discussions.
- Learn modern AI-assisted software development practices.
- Understand how AI-powered applications and agent-based systems are designed.
- Contribute to APIs and services that interact with AI systems.
- Explore new AI tools and development technologies.
- Collaborate with experienced engineers on production-grade software.
- Test applications and help identify and resolve software issues.
- Learn enterprise-scale automation and distributed systems.
- Continuously improve programming skills and technical knowledge.
Eligibility Criteria
- Must be graduating in 2026 with a BE/B.Tech degree.
- Eligible branches include Computer Science, Information Technology, Electronics, AI/ML, Data Science, or related disciplines.
- Must have at least 80% or equivalent CGPA in Class 10, Class 12, and BE/B.Tech.
- Must have no active backlogs and no history of backlogs or arrears.
- Strong understanding of Data Structures and Algorithms.
- Good knowledge of Object-Oriented Programming (OOP).
- Understanding of DBMS, Operating Systems, and Computer Networks.
- Good programming skills in Java or another object-oriented language.
- Strong analytical and problem-solving abilities.
- Good communication skills and willingness to learn.
- Interest in AI-assisted development demonstrated through projects, hackathons, internships, coding competitions, or open-source contributions.
Required Skills
- Java programming fundamentals.
- Data Structures and Algorithms.
- Object-Oriented Programming concepts.
- Basic knowledge of Spring Boot or backend development.
- Understanding of REST APIs and web technologies.
- SQL and relational database concepts.
- Git and version control.
- Software testing and debugging.
- Familiarity with AI tools such as ChatGPT, GitHub Copilot, Cursor, or Gemini.
- Prompt engineering and AI-assisted coding.
- Understanding of microservices and application integration.
- Basic knowledge of cloud platforms.
- Familiarity with Docker or Kubernetes is an advantage.
- Exposure to Generative AI, large language models (LLMs), or AI agent frameworks is beneficial.
- Communication, teamwork, and continuous learning.
Why Join Zycus?
- Work on AI-native enterprise software products.
- Learn from experienced software engineers.
- Gain practical experience with Java, microservices, and cloud technologies.
- Explore AI/ML and agentic AI applications.
- Use modern AI development tools and workflows.
- Build skills in enterprise automation and distributed systems.
- Develop a strong foundation for a software engineering career.
- Work in a culture focused on innovation, ownership, and continuous learning.
Important Links
Apply Link: Click here