Job Title: Software Engineering Intern (Full Stack / AI Track)

Company: Unico Connect

Location: Kurla (West), Mumbai, India (On-site)

Job Type: Internship (Full-Time)

Duration: 3-6 Months (Potential for Full-Time Offer)

Working days: Monday - Friday

Compensation: Paid internship (stipend provided)

About Unico Connect

Unico Connect is a growing AI-native technology solutions company that designs and builds intelligent, scalable digital products for startups, mid-market companies, and enterprises worldwide. We combine deep industry and engineering expertise with AI-native development to accelerate innovation, enable digital transformation, and deliver reliable, production-ready solutions. Driven by a culture of learning, collaboration, and impact, we help businesses leverage technology to achieve their goals.

Role Overview

We are hiring Software Engineering Interns to work on either Full Stack Development or AI Engineering projects. This internship is designed to provide hands-on experience in real-world product development.

Key Responsibilities

Assist in developing and maintaining web applications (frontend and backend)
Support implementation of AI/ML models or data-driven features (for AI track)
Write clean, efficient, and well-documented code
Collaborate with team members on assigned modules and tasks
Participate in testing, debugging, and code reviews

Required Qualifications

Completed degree in Computer Science, IT, or related field
Node.js and React.js (Full Stack) or Python (AI)
Strong willingness to learn and contribute in a team environment

Selection Process

Candidates will be shortlisted based on their profiles. Shortlisted applicants will be invited to attend an in-person technical assessment at our office on 4th May 2026, followed by further evaluation rounds.

How to Apply

Candidates may apply directly through this LinkedIn job posting or submit their resume to [HIDDEN TEXT] with the subject line Application – Software Engineering Intern. Shortlisted candidates will be contacted regarding the next steps in the selection process.