Zycus

Overview

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.

About Zycus

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.

Requirements & Eligibility

• B.E./B.Tech (Computer Science, IT, AI, Data Science, Electronics, Mechanical, or related disciplines)
• 2025 or 2026 graduates only
• 0–1 year of internship/project experience in AI/ML, software development, or technical support
• Strong interest in Artificial Intelligence, enterprise software, and customer-facing technologies

Key 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.
• Support product configuration, feature validation, User Acceptance Testing (UAT), release testing, production monitoring, and quality assurance activities to ensure reliable product performance and successful deployments.
• Monitor AI feature performance and application health, analyze customer feedback and product usage trends, and recommend enhancements that improve user experience, product quality, and business value.