▷ (11 / 11 / 2025) Artificial Intelligence Intern

About the job

Role : Full Stack AI Engineer Intern

Company Location : Bengaluru

Work Mode : Remote

Duration : 3 Months (Full-time)

Internship Type : Unpaid

Email to Apply : riyaz@teqrox.com | riddhi@teqroxgroup.com

About Teqrox

Teqrox is a forward-thinking management consultancy and technology solutions company. We combine consulting expertise with AI-driven innovation to deliver scalable, intelligent solutions for enterprises.

Role Overview

We’re looking for passionate and driven Full Stack AI Engineer Interns who are eager to gain hands-on experience in AI, web development, and automation workflows.

This non-paid internship is designed for final-year students or fresh graduates who want to sharpen their skills and gain practical exposure by working on real-world AI-driven applications.

Interns will collaborate closely with senior engineers and the AI consulting team to design, build, and deploy AI-integrated full-stack solutions for clients across multiple industries.

At the end of the internship, candidates will receive an Internship Certificate from Teqrox.

Based on performance, innovation, and contribution during the internship, outstanding interns may be offered a full-time opportunity with Teqrox.

What You’ll Do

• Assist in building web applications using React, Node.js, and Python
• Integrate AI / ML models (OpenAI, LangChain, Hugging Face)
• Work with APIs (social media APIs, CRM APIs, Twilio, verification APIs)
• Develop backend logic, databases (SQL & NoSQL), and automation workflows
• Contribute to UI / UX improvements for dashboards and portals
• Collaborate using Git / GitHub for version control
• Participate in code reviews and brainstorming sessions

What We’re Looking For

Nice-to-Have (Bonus Points)

What You’ll Gain

Academic Requirements

Minimum : Bachelor’s degree in progress or completed in :

Computer Science, Information Technology, Electronics & Communication, Data Science, AI / ML, or related STEM fields.

CGPA : 6.0+ or 60% and above (flexible for candidates with strong portfolios or project work).

Preferred :

AI / ML certifications (Coursera, NPTEL, Udemy, etc.).

Participation in hackathons, coding competitions, or open-source projects.

GitHub or a portfolio showcasing projects.