AI-Native Java Engineer – Graduate Trainee

Round 1: Technical Coding & System Design → Round 2: Technical Advanced Coding & AI Tools → Round 3: HR

Zycus fosters a collaborative environment where innovation is rewarded and learning is continuous. Employees enjoy a healthy work‑life balance with a hybrid model, regular skill‑upgrading workshops, and ample opportunities for career progression. The company values transparency, diversity, and employee well‑being, making it a supportive workplace for fresh talent.

Candidates usually go through a three‑round process: an initial technical screening covering Java fundamentals and data structures, a second round focused on system design and AI tool usage, and a final HR interview. The technical rounds are moderately challenging, with a mix of coding questions and scenario‑based queries. Preparation in Java, Spring Boot, and microservices, along with familiarity with AI‑assisted tools, is highly recommended.

Bachelor’s degree (B.E./B.Tech) in Computer Science, Information Technology, Electronics & Communication, AI/ML, Data Science or related fields. 2026 graduates only. Minimum 80% in 10th, 12th, and B.E./B.Tech. No active backlogs and no history of arrears. Strong fundamentals in Data Structures & Algorithms, OOP, DBMS, Operating Systems, and Computer Networks. Java knowledge preferred.

Zycus is a leading global provider of procurement and spend management solutions, empowering enterprises to streamline their sourcing, procurement, and supplier collaboration processes. With a strong focus on innovation, the company has recently embraced AI and generative technologies to deliver smarter, more efficient solutions to its clients worldwide. Zycus’ Bangalore hub serves as a vibrant ecosystem where software engineers, data scientists, and product managers collaborate to build next‑generation procurement platforms that drive digital transformation for Fortune 500 companies. The AI‑Native Java Engineer – Graduate Trainee role is designed for fresh graduates who are passionate about backend development and eager to work at the intersection of Java, microservices, and AI. As a trainee, you will be mentored by senior engineers and will contribute to building robust, scalable APIs that power Zycus’ AI‑driven procurement workflows. Your day‑to‑day responsibilities will include designing and implementing RESTful services, integrating with relational and NoSQL databases, and leveraging AI tools such as ChatGPT, GitHub Copilot, and Gemini to accelerate coding, debugging, and documentation. Key Responsibilities (8–10 points): 1. Design, develop, and maintain Java‑based microservices using Spring Boot. 2. Build secure, high‑performance REST APIs that expose procurement functionalities. 3. Implement data persistence using SQL and NoSQL databases, ensuring data integrity and scalability. 4. Collaborate with front‑end and data teams to integrate AI/GenAI features into the platform. 5. Use AI‑assisted development tools to write clean, efficient code and automate repetitive tasks. 6. Participate in code reviews, pair programming, and knowledge‑sharing sessions. 7. Contribute to continuous integration/continuous deployment pipelines and containerization workflows. 8. Monitor application performance, troubleshoot issues, and propose optimizations. 9. Stay updated on emerging AI, cloud, and microservices trends and evaluate their applicability. 10. Document design decisions, API contracts, and best practices. Tech Stack: Java, Spring Boot, REST, Microservices, SQL/NoSQL, Git, Docker, Kubernetes (optional), Cloud (AWS/GCP), AI tools (ChatGPT, Copilot, Gemini). Growth Path: Trainees start with guided projects and gradually take ownership of end‑to‑end features. After 12–18 months, they can progress to Senior Engineer, Lead Engineer, or AI Product Engineer roles, with opportunities to specialize in AI/ML, cloud architecture, or product management. Why Join Zycus? The company offers a collaborative culture that encourages experimentation, a clear career ladder, and exposure to cutting‑edge AI technologies. Employees benefit from a supportive learning environment, regular hackathons, and the chance to work on real‑world problems that impact global enterprises. The hybrid work model balances flexibility with team cohesion, making it an ideal place for ambitious graduates to launch their careers.