AI-Native Java Engineer – Graduate Trainee

Candidates typically experience a three‑round interview process: an initial technical screen focusing on Java and DSA, a second technical interview covering Spring Boot, REST APIs, and AI tool usage, followed by an HR round that assesses cultural fit and communication skills. Questions often involve coding on a whiteboard or online editor, scenario‑based problem solving, and discussions around recent AI developments in software engineering. Preparation with coding platforms and mock interviews is highly recommended.

Zycus fosters a collaborative and innovative environment where employees are encouraged to experiment with new technologies. The company balances professional growth with a healthy work‑life rhythm, offering flexible work arrangements and continuous learning opportunities.

Bachelor of Engineering (B.E.) or Bachelor of Technology (B.Tech) in Computer Science, Information Technology, Electronics, AI/ML, Data Science or related branches; graduating in the 2026 batch; minimum 80% or equivalent CGPA in 10th, 12th and B.E/B.Tech; no active backlogs and no history of backlogs or arrears.

Round 1: Technical interview – Java, DSA, OOP → Round 2: Technical interview – Spring Boot, REST, AI tools → Round 3: HR interview

Zycus, a global leader in enterprise spend management solutions, has been consistently recognized for its innovative approach to procurement, invoicing, and spend analytics. With a presence in over 30 countries and a workforce of more than 5,000 professionals, the company has built a reputation for delivering cutting‑edge technology that helps businesses streamline their operations and achieve cost efficiencies. Zycus’s culture is built around collaboration, continuous learning, and a strong focus on customer success, making it an attractive destination for fresh talent eager to make an impact. The AI‑Native Java Engineer – Graduate Trainee role is designed for 2026 graduating B.E/B.Tech students who are passionate about backend development and excited to explore the intersection of software engineering and artificial intelligence. As a graduate trainee, you will work closely with senior engineers on real‑world projects, contributing to the development of production‑grade applications, RESTful APIs, and microservices. The role emphasizes the use of AI tools such as ChatGPT, GitHub Copilot, Cursor, and Gemini to enhance coding efficiency, debugging, testing, and documentation. Key responsibilities include: 1. Designing, coding, and testing Java‑based backend services using Spring Boot. 2. Building and maintaining REST APIs and microservices. 3. Writing clean, maintainable, and well‑documented code. 4. Collaborating with cross‑functional teams to integrate database and third‑party services. 5. Leveraging AI tools for code generation, bug detection, and performance optimization. 6. Applying prompt engineering techniques to improve AI‑assisted workflows. 7. Participating in code reviews and knowledge sharing sessions. 8. Contributing to the development of AI‑aware services and agentic AI frameworks. 9. Learning and adopting cloud and container technologies such as Docker and Kubernetes. 10. Continuously improving technical skills through mentorship and self‑learning. Tech stack: Java, Spring Boot, REST APIs, SQL, Git, Docker/Kubernetes, cloud platforms (AWS/Azure/GCP), AI development tools (ChatGPT, GitHub Copilot, Cursor, Gemini). Growth path: Starting as a graduate trainee, you can progress to roles such as Junior Java Developer, Software Engineer, Senior Engineer, and eventually lead engineering or product roles. Zycus offers structured learning programs, mentorship, and opportunities to work on high‑impact projects across multiple geographies. Why join Zycus? The company offers a competitive salary, a collaborative work environment, exposure to cutting‑edge AI technologies, and a clear career progression roadmap. Employees enjoy a healthy work‑life balance, flexible work arrangements, and a culture that encourages experimentation and innovation.