Software Engineer Intern - Product development (Unpaid)

Company Description

Yuvro is building an AI-powered product ecosystem focused on transforming how students learn, practice, get assessed, and become industry-ready.

We are building intelligent systems across learning, assessments, mock interviews, analytics, and scalable engineering products. At Yuvro, engineers are not just developers — they are builders who contribute ideas, solve real problems, and help shape innovative products.

Internship Overview

We are looking for 2027, 2028, 2029 graduates with highly driven Software Engineering Interns passionate about coding, AI/ML, and product engineering. Interns will work on innovative systems like Practical Labs and advanced AI-powered hiring platforms while contributing to real product development. This internship is ideal for individuals who enjoy solving engineering challenges, thinking creatively, and building impactful technology with an entrepreneurial mindset.

What You Will Work On

• Backend engineering and scalable APIs
• AI/ML-integrated product workflows
• Practical Labs and intelligent assessment systems
• Advanced AI Hire and analytics platforms
• Product improvements, performance optimization, and innovation

Skills & Technical Expectations

• Strong understanding of Python / Java / C++
• Data Structures & Algorithms fundamentals
• OOPs, DBMS, and System Design basics
• Problem-solving and logical thinking
• Basic understanding of AI/ML concepts
• Git/GitHub and backend development exposure

What We Value

• Entrepreneurial and builder mindset
• Ownership and proactive thinking
• Curiosity toward AI and product innovation
• Ability to contribute ideas along with development
• Strong learning attitude and engineering thinking

What You Will Gain

• Hands-on experience with production-level systems
• Exposure to real-world AI/ML product development
• Opportunity to work on innovative engineering products
• Offer Letter and Internship Completion Certificate
• Potential Stipend/full time opportunity based on performance