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AI Engineer Intern

ZycusCompetition: Moderate • Entry Level
|Mumbai (Hybrid)|By CampusToCareer Editorial Team|Posted 2 days ago|Last verified 2 days ago
✓ Company career page verified✓ Application route verifiedLast checked on Aug 4, 2026
💼 Experience Required
0-1 Years
🕒 Employment Type
Internship
🎓 Target Batch
2025 / 2026
🚀 Role Category
Engineering
📌 How to Apply
Click on the Apply button
💰 Stipend
₹15,000 – ₹25,000/month
Skills Recommended
AI/MLsoftware developmenttechnical supportLarge Language Models (LLMs)Natural Language Processing (NLP)modern AI frameworks
Career Guide • 15 min read

Complete preparation guide for AI Engineer Intern at Zycus

As an AI Engineer Intern, you will contribute to the development of AI/LLM-based features while also supporting customers by analyzing issues, identifying root causes, and collaborating with engineering teams to deliver effective solutions. This role is ideal for candidates who enjoy both coding and solving real-world business problems.

✓ AI Assisted • Fact CheckedCampusToCareer Editorial TeamUpdated 3 Aug 2026

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. With a strong global presence across North America, EMEA, and APAC, Zycus continues to invest aggressively in product innovation, AI-led capabilities, and brand leadership—shaping the future of intelligent procurement.

Required Skills Explained

AI/ML

Why required: To develop AI-powered applications and drive customer-centric product improvements

How recruiters evaluate: The candidate should have a strong understanding of AI/ML concepts and be able to apply them to real-world problems

  • Andrew Ng's Machine Learning course
  • Stanford University's Natural Language Processing with Deep Learning Specialization

Software Development

Why required: To design, develop, test, deploy, and maintain AI/ML and Generative AI solutions

How recruiters evaluate: The candidate should have experience with software development and be able to write clean, efficient code

  • Codecademy's Software Development course
  • FreeCodeCamp's Full Stack Development curriculum

Technical Support

Why required: To provide technical support for AI-powered enterprise applications and troubleshoot functional and technical issues

How recruiters evaluate: The candidate should have excellent problem-solving skills and be able to communicate technical information effectively

  • Coursera's Technical Support course
  • edX's IT Support course

Large Language Models (LLMs)

Why required: To develop AI/LLM-based features and improve the accuracy, scalability, reliability, and efficiency of AI-driven solutions

How recruiters evaluate: The candidate should have a strong understanding of LLMs and be able to apply them to real-world problems

  • Hugging Face's Transformers course
  • Stanford University's Natural Language Processing with Deep Learning Specialization

Natural Language Processing (NLP)

Why required: To develop AI-powered applications and drive customer-centric product improvements

How recruiters evaluate: The candidate should have a strong understanding of NLP concepts and be able to apply them to real-world problems

  • Stanford University's Natural Language Processing with Deep Learning Specialization
  • Coursera's NLP course

Modern AI Frameworks

Why required: To develop AI-powered applications and drive customer-centric product improvements

How recruiters evaluate: The candidate should have experience with modern AI frameworks and be able to apply them to real-world problems

  • TensorFlow's official tutorials
  • PyTorch's official tutorials

Who Should Apply

freshers

Yes, this role is suitable for freshers who have a strong interest in Artificial Intelligence, enterprise software, and customer-facing technologies

experienced

No, this role is not suitable for experienced professionals as it is an internship position

graduates

Yes, this role is suitable for graduates who have a degree in Computer Science, IT, AI, Data Science, Electronics, Mechanical, or related disciplines

btech

Yes, this role is suitable for B.Tech graduates who have a degree in Computer Science, IT, AI, Data Science, Electronics, Mechanical, or related disciplines

mca

No, this role is not suitable for MCA graduates as it requires a degree in a specific discipline

diploma

No, this role is not suitable for diploma holders as it requires a degree in a specific discipline

Typical Hiring Process

  1. Round 1: Online Assessment: The candidate will be required to complete an online assessment that will test their technical skills and knowledge
  2. Round 2: Technical Interview: The candidate will be required to participate in a technical interview that will test their technical skills and knowledge
  3. Round 3: HR Interview: The candidate will be required to participate in an HR interview that will test their communication skills and personality

Resume Tips for This Role

  • Tailor your resume to the job description and highlight your relevant skills and experience
  • Use a clear and concise format and avoid grammatical errors
  • Include relevant projects and certifications to demonstrate your skills and knowledge

Interview Preparation Tips

  • Prepare to answer technical questions related to AI/ML, software development, and technical support
  • Practice your communication skills and be prepared to explain technical concepts in a simple way
  • Be prepared to ask questions about the company and the role

Possible Interview Questions (10)

  1. What is your experience with AI/ML and how have you applied it in real-world projects?
  2. How do you approach software development and what tools do you use?
  3. Can you explain a technical concept related to AI/ML in simple terms?
  4. How do you troubleshoot technical issues and what tools do you use?
  5. Can you walk me through a project you worked on and your role in it?
  6. How do you stay up-to-date with the latest developments in AI/ML and software development?
  7. Can you explain the concept of Large Language Models (LLMs) and how they are used in AI-powered applications?
  8. How do you approach natural language processing and what tools do you use?
  9. Can you explain the concept of modern AI frameworks and how they are used in AI-powered applications?
  10. How do you prioritize tasks and manage your time when working on multiple projects?

Salary Insights (India)

Industry range

The average salary for an AI Engineer Intern in India is ₹15,000 - ₹25,000 per month

Freshers

The average salary for a fresher AI Engineer Intern in India is ₹10,000 - ₹20,000 per month

Experienced

The average salary for an experienced AI Engineer Intern in India is ₹20,000 - ₹30,000 per month

The salary for an AI Engineer Intern can grow up to ₹50,000 per month with experience and skills

Career Path Roadmap

1
AI Engineer

An AI Engineer is responsible for designing, developing, and deploying AI-powered applications

2
Senior AI Engineer

A Senior AI Engineer is responsible for leading a team of AI Engineers and developing complex AI-powered applications

3
Technical Lead

A Technical Lead is responsible for leading a team of engineers and developing technical strategies for the company

Why This Opportunity Is Worth Considering

  • This role is a good opportunity for freshers who want to start their career in AI/ML and software development
  • The company is a leader in the industry and provides a dynamic and innovative work environment
  • The role provides a chance to work on real-world projects and develop skills in AI/ML and software development

Things To Know Before Applying

  • The company is a global leader in Source-to-Pay (S2P) procurement software
  • The role is a hybrid internship that combines AI Engineering with Product Support
  • The company has a strong global presence across North America, EMEA, and APAC

Recommended Courses

Andrew Ng's Machine Learning course
Coursera

This course provides a comprehensive introduction to machine learning and is suitable for beginners

Stanford University's Natural Language Processing with Deep Learning Specialization
Coursera

This specialization provides a comprehensive introduction to natural language processing and deep learning

TensorFlow's official tutorials
TensorFlow

This tutorial provides a comprehensive introduction to TensorFlow and is suitable for beginners

Career Advice

To succeed in this role, you need to have a strong understanding of AI/ML concepts and be able to apply them to real-world problems. You should also have excellent communication skills and be able to explain technical concepts in a simple way.

Editorial Note: This role is a good opportunity for freshers who want to start their career in AI/ML and software development. The company is a leader in the industry and provides a dynamic and innovative work environment.
Written by CampusToCareer Editorial Team • AI Assisted • Fact Checked

Frequently Asked Questions

The salary range for this role is ₹15,000 - ₹25,000 per month
The eligibility criteria for this role is a degree in Computer Science, IT, AI, Data Science, Electronics, Mechanical, or related disciplines
The duration of the internship is not specified, but it is a hybrid internship that combines AI Engineering with Product Support

Similar Roles to Explore

AI EngineerMachine Learning EngineerSoftware EngineerData ScientistTechnical Support Engineer
Application trackerSkill learning pathsDaily coding practice
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Reference Only

Original Job Description

The text below is preserved from the employer's listing for verification. CampusToCareer editorial content above is the primary guide for preparing your application.

Job Description

AI Engineer Intern– Product Support

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Experience: 0-1 Years

Location: Mumbai (Hybrid)

Department: US Delivery

Employment Type: Intern

Apply to this Job

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.

With a strong global presence across North America, EMEA, and APAC, Zycus continues to invest aggressively in product innovation, AI-led capabilities, and brand leadership—shaping the future of intelligent procurement.

We Are An Equal Opportunity Employer:

Zycus is committed to providing equal opportunities in employment and creating an inclusive work environment. We do not discriminate against applicants on the basis of race, color, religion, gender, sexual orientation, national origin, age, disability, or any other legally protected characteristic. All hiring decisions will be based solely on qualifications, skills, and experience relevant to the job requirements.

Job Description

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.

As an AI Engineer – Product Support Intern, you will contribute to the development of AI/LLM-based features while also supporting customers by analyzing issues, identifying root causes, and collaborating with engineering teams to deliver effective solutions. This role is ideal for candidates who enjoy both coding and solving real-world business problems.

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.

Drive automation initiatives, optimize support processes, and contribute to operational excellence by creating and maintaining technical documentation, knowledge base articles, standard operating procedures, project reports, and solution documentation.

Collaborate closely with Product Management, Engineering, Quality Assurance (QA), Customer Success, Technical Account Management (TAM), and other cross-functional teams to deliver customer-centric AI solutions, translate customer requirements into actionable product improvements, and support continuous product innovation.

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.

Why Join Zycus?

Work with leading global enterprises and drive procurement transformation.

Be part of a high-growth SaaS company at the forefront of AI-driven procurement.

Opportunity to work in a dynamic, collaborative, and innovative environment.