About Company

Zycus is a global leader in Source-to-Pay (S2P) procurement software, helping large enterprises drive efficiency, compliance, and measurable value across their procurement and finance operations. Trusted by leading Fortune 1000 organizations worldwide, Zycus enables procurement teams to move from cost control to strategic value creation.

At the core of Zycus’ platform is Merlin AI, an advanced AI-powered engine that brings intelligence, automation, and predictive insights across the entire procurement lifecycle—from sourcing and contract management to procurement, invoicing, and supplier management. Merlin AI empowers Chief Procurement Officers and finance leaders to make faster, smarter decisions with real-time visibility and actionable insights.

Zycus is consistently recognized by top industry analysts such as Gartner, Forrester, and IDC for its innovation, depth of functionality, and strong customer outcomes. Known for its enterprise-grade solutions, global delivery model, and customer-first mindset, Zycus partners closely with organizations to modernize procurement and unlock long-term business value.

AI Engineer Intern– Product Support

Job Descreption

Zycus is looking for passionate and curious AI Engineers – Intern who are excited to build intelligent solutions while working closely with customers and product teams. This hybrid internship combines AI Engineering with Product Support, providing hands-on experience in developing AI-powered applications, troubleshooting enterprise SaaS products, and driving customer-centric product improvements.

Roles & Responsibilities

• Design, develop, test, deploy, and maintain AI/ML and Generative AI solutions using Large Language Models (LLMs), Natural Language Processing (NLP), and modern AI frameworks to build intelligent, scalable enterprise applications.
• Perform data preprocessing, analysis, feature engineering, model training, optimization, and performance tuning to improve the accuracy, scalability, reliability, and efficiency of AI-driven solutions.
• Integrate AI models and services with enterprise applications through APIs and other integration technologies to deliver seamless business workflows.
• Research, evaluate, and implement emerging AI technologies, tools, frameworks, and industry best practices to drive innovation and continuously enhance product capabilities.
• Provide technical support for AI-powered enterprise applications by troubleshooting functional and technical issues, performing root cause analysis, managing incidents, and collaborating with engineering teams to ensure timely issue resolution.
• Serve as the primary technical point of contact for customer queries through email, chat, and calls, ensuring prompt communication, effective problem resolution, and high levels of customer satisfaction.

Click Here to Apply

Trainee Business Development Executive

Job Descreption

Most engineering graduates build products. At Zycus, you’ll learn how to build global businesses.

If you enjoy solving problems, understanding technology, working with people, and want to accelerate your career beyond coding, this is an opportunity to become part of the next generation of Enterprise SaaS sales leaders. Join one of India’s leading AI-first enterprise software companies, recognized as a Leader in the Gartner® Magic Quadrant™ for Source-to-Pay Suites, serving Fortune 1000 companies across North America, Europe, the Middle East and APAC.

Roles and Responsibilities

• Research Fortune 1000 companies and identify potential opportunities
• Use AI tools, LinkedIn Sales Navigator and digital research to identify decision-makers
• Engage senior executives through email, phone, video meetings and social selling
• Understand customer business challenges and position Zycus’ AI platform
• Schedule meetings and product demonstrations for our global sales teams
• Build account intelligence and map enterprise buying centres
• Analyze industries, competitors and market trends
• Maintain high-quality CRM data and sales intelligence
• Work closely with Sales, Marketing and Product teams

Click Here to Apply

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

Job Descreption

• 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.

Roles and 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.

Click Here to Apply

AI-Native Product Manager – Graduate Trainee (2026 Passouts)

Job Descreption

This role is ideal for students and fresh graduates who: Have a strong foundation in analytical thinking, business fundamentals, and structured problem-solving. Enjoy understanding customer problems and translating them into product solutions. Use AI tools such as ChatGPT, Claude, Gemini, or similar tools for research, analysis, writing, and productivity. Are eager to learn modern product management practices and AI-driven workflows. Have a growth mindset and are excited to work on cutting-edge enterprise software.

Roles and Responsibilities

AI-Augmented Product Management

• Use AI tools to assist in market research, competitive analysis, user research synthesis, and documentation.
• Learn and apply prompt engineering techniques to improve research and writing productivity.
• Collaborate with senior product managers to define requirements using AI-assisted workflows.
• Continuously explore emerging AI tools and best practices for product work.

Product Execution

• Assist in writing product requirement documents (PRDs), user stories, and acceptance criteria.
• Support discovery through customer calls, surveys, and data analysis.
• Work with engineering, design, and QA teams to ship features end-to-end.
• Track product metrics and translate data into actionable insights.
• Participate in product reviews and cross-functional discussions.

AI-Aware Product Thinking

• Learn how AI-powered applications and agent-based systems are designed and productized.
• Contribute to defining features and workflows that leverage AI/LLM capabilities.
• Gain exposure to enterprise-scale AI product design and automation platforms.

Click Here to Apply

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

Job Descreption

• 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.

Roles and 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.

Click Here to Apply

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