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

Talismatic

Mumbai

On-site

INR 600,000 - 900,000

Full time

14 days+

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Job summary

Zycus is seeking fresh BE/B.Tech graduates (class of 2026) for AI-augmented and backend engineering roles in Mumbai. You will learn to apply AI-driven development practices, contribute to production-grade Java/Spring Boot services, and build scalable APIs while collaborating with senior engineers.

Ideal candidates have strong CS fundamentals, good problem-solving skills, and a passion for learning new AI-enabled technologies. Hybrid learning and enterprise-scale projects await.

Qualifications

  • BE/B.Tech in CS/IT/AI/DS with graduation in 2026 and strong CS fundamentals.
  • CGPA thresholds: 80% across 10th, 12th and BE/B.Tech with no backlogs.
  • Strong knowledge of data structures, algorithms, OOP, DBMS, OS and networks.
  • Proficiency in Java (preferred) or any OO language with good coding skills.
  • Demonstrated interest in AI-assisted software development via projects.

Responsibilities

  • AI-Augmented Engineering: assist coding, debugging, testing and learning.
  • Backend Engineering: build REST APIs and microservices using Java/Spring.
  • AI-Aware Development: interact with AI systems and APIs for automation.
  • Contribute to production-grade software under senior guidance.
  • Engage in code reviews and tech discussions.

Skills

Strong foundations in programming & CS
Java programming
OOP concepts
Data Structures & Algorithms
Analytical problem solving
Excellent communication skills
Learning new technologies
AI-assisted software development兴趣

Education

BE/B.Tech in CS/IT/AI/DS
Graduating in 2026
80% CGPA in 10th/12th/BE

Tools

Spring Boot
REST APIs
SQL
Git
Docker
Kubernetes

Job description

About Zycus

Zycus is transforming enterprise procurement through AI-native architecture. At the core of our platform is Merlin AI, an agentic AI engine powering autonomous workflows across Source-to-Pay. We are building enterprise software where AI is not a feature—it is the foundation.

We are looking for passionate and curious BE/ B.Tech 2026 graduates who are excited about building scalable software and leveraging AI to become highly productive engineers.

Who We Are Looking For

This role is ideal for students and fresh graduates who:

  • Have a strong foundation in programming and computer science fundamentals.

  • Enjoy solving problems and building software applications.

  • Use AI tools such as ChatGPT, GitHub Copilot, Cursor, Gemini, or similar tools for learning, coding, and productivity.

  • Are eager to learn modern backend technologies and AI-driven development practices.

  • Have a growth mindset and are excited to work on cutting-edge enterprise software.

Key Responsibilities
AI-Augmented Engineering
  • Use AI tools to assist in coding, debugging, testing, documentation, and learning new technologies.

  • Learn and apply prompt engineering techniques to improve development productivity.

  • Collaborate with senior engineers to build production-grade software using AI-assisted workflows.

  • Continuously explore emerging AI tools and best practices.

Backend Engineering
  • Develop and maintain backend applications using Java and Spring Boot.

  • Build REST APIs and microservices under the guidance of experienced engineers.

  • Work with databases, data models, and application integrations.

  • Write clean, maintainable, and testable code.

  • Participate in code reviews and engineering discussions.

AI-Aware Development
  • Learn how AI-powered applications and agent-based systems are designed.

  • Contribute to building APIs and services that can interact with AI systems.

  • Gain exposure to enterprise-scale AI workflows and automation platforms.

Eligibility Criteria
  • BE/ B.Tech in Computer Science, Information Technology, Electronics, AI/ML, Data Science, or related branches.

  • Graduating in 2026.

  • Academic Requirement: Minimum 80% (or equivalent CGPA) in 10th, 12th, and BE/ B.Tech, with no active backlogs and no history of backlogs/arrears.

  • Strong understanding of Data Structures & Algorithms, Object-Oriented Programming (OOP), DBMS, Operating Systems, and Computer Networks.

  • Good programming skills in Java (preferred) or any object-oriented programming language.

  • Strong analytical and problem-solving abilities.

  • Excellent communication skills and a passion for learning new technologies.

  • Demonstrated interest in AI-assisted software development through projects, hackathons, internships, coding competitions, or open-source contributions.

Technical Skills (Preferred)
  • Strong fundamentals of Java programming.

  • Basic knowledge of Spring Boot or backend development frameworks.

  • Understanding of REST APIs and web technologies.

  • Knowledge of SQL and relational databases.

  • Familiarity with Git and version control systems.

  • Exposure to cloud platforms, Docker, Kubernetes, or AI development tools is a plus.

  • Personal projects, hackathons, internships, or open-source contributions are highly valued.

Bonus Points If You Have
  • Built projects using AI tools, LLMs, Agentic AI frameworks, or GenAI APIs.

  • Participated in coding competitions, hackathons, or technical challenges.

  • Developed web, mobile, or full-stack applications.

  • Experience contributing to GitHub projects or open-source communities.

  • Written technical blogs, research papers, or shared technical content publicly.

  • Demonstrated strong curiosity for AI-assisted software development and emerging technologies.

Why Join Zycus?
  • Work on real-world AI-native enterprise products from day one.

  • Learn from experienced engineers building large-scale distributed systems and AI platforms.

  • Gain hands-on exposure to Java, Microservices, Cloud, AI/ML, and Agentic AI technologies.

  • Access industry-leading AI development tools and workflows.

  • Fast-track your career in one of the most exciting areas of software engineering—Agentic AI and Enterprise Automation.

  • Be part of a culture that values innovation, ownership, continuous learning, and engineering excellence.

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