Winsen Labs Student Engineering Intern 2026 – Chennai

Winsen Labs

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Chennai, India5 days ago

Key Responsibilities

Responsibilities include building AI products and internal systems, solving loosely defined problems, testing software against real inputs and edge cases, documenting decisions, and presenting work and learning.

Skills & Eligibility

The opportunity is aimed at students who are currently pursuing their degree and can maintain a consistent part-time schedule during the academic term.
Winsen Labs is specifically targeting students from:
College of Engineering, Guindy (CEG)
Madras Institute of Technology (MIT), Anna University
Students from other colleges in Chennai are also encouraged to apply when they believe they are a strong fit. They can select Other in the application and provide the name of their college.
The company does not state a specific CGPA, percentage, graduation year, or degree branch requirement in the supplied job description.
A key prerequisite for this internship is being AI native. In practical terms, Winsen Labs expects candidates to incorporate coding agents into the way they build software.
However, the company does not appear to be looking for candidates who simply generate code with AI tools and accept the output without verification. Interns are expected to understand and check the code produced by coding agents.
This makes software judgment particularly important. Candidates should be able to review AI-generated code, identify incorrect assumptions, test the implementation, understand potential edge cases, and improve or rewrite code when necessary.
Students who already use AI coding tools as part of their normal development workflow can therefore demonstrate a relevant skill set, particularly when they can explain what they built and how they validated the resulting code.
Strong programming fundamentals are important. Candidates should understand core programming concepts and be able to translate requirements into working code.
Winsen Labs is looking for students who are curious about how systems work. Understanding the relationship between different software components and being willing to investigate unfamiliar systems will be useful.
Candidates should be comfortable breaking an ambiguous problem into smaller pieces, identifying constraints, developing a solution, and testing the result.
Students should be familiar with using coding agents as part of software development. More importantly, they should be able to verify, debug, and improve AI-generated code instead of relying on it blindly.
The ability to test real inputs, identify edge cases, reproduce failures, and correct defects is essential for the internship.
Candidates should be comfortable asking precise questions, documenting decisions, and presenting their work clearly.
The role is suitable for students who actively build things outside their coursework and enjoy learning how software systems function.
Take a broad problem statement and define the inputs, outputs, assumptions, constraints, and acceptance criteria yourself. This mirrors the loosely defined problems described for the internship.
Test normal cases, unusual inputs, invalid inputs, boundary conditions, and failure scenarios. Learn to think about how software can break before users discover the problem.
No CGPA cutoff is specified in the supplied job description.
Strong programming fundamentals, curiosity, problem-solving, attention to correctness, communication skills, willingness to learn, and comfort using AI coding agents responsibly are important.

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