AI Engineer Intern : Global Technology Delivery

JOB DESCRIPTION

AI ENGINEER INTERN FULL-STACK AI

Department: Artificial Intelligence / Engineering / Product Development

Role: AI Engineer Intern Full-Stack AI

Employment Type: Full-Time Internship

Work Mode: 100% Work From Office (WFO)

Reporting To: AI Lead / Technical Lead / Project Manager / CTO

Internship Duration: 6 Months, extendable based on performance and business requirements

Working Days & Hours: As per company policy

Location: Company Office

Opportunity: Internship PPO / Full-Time Employment, subject to performance, business requirements, and successful evaluation

• ROLE PURPOSE

The AI Engineer Intern Full-Stack AI will work as part of the engineering team responsible for designing, developing, integrating, testing, deploying, and maintaining AI-powered applications and enterprise solutions.

The role is designed for candidates who want hands-on exposure across the complete AI application lifecycle rather than working only on machine-learning models.

The intern will be expected to contribute across

• Frontend Development
• Backend Development
• API Development
• Python Programming
• Databases
• Machine Learning
• Deep Learning
• Generative AI
• Large Language Models (LLMs)
• Retrieval-Augmented Generation (RAG)
• AI Agents and Agentic AI
• Prompt Engineering
• Vector Databases
• Data Engineering
• Model/API Integration
• Cloud Deployment
• DevOps
• Testing
• Documentation
• Production Support

The intern is expected to operate as a responsible member of the engineering team and deliver assigned tasks against defined timelines and quality standards.

• KEY RESPONSIBILITIES

A. Full-Stack Application Development The intern will participate in end-to-end application development.

Responsibilities include

• Develop responsive web applications.
• Develop reusable frontend components.
• Integrate frontend applications with backend APIs.
• Build REST APIs and backend services.
• Implement authentication and authorization.
• Develop dashboards and AI interfaces.
• Integrate databases with applications.
• Implement file upload/download and document-processing workflows.
• Implement user management and role-based access.