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REQUIREMENT_ID_119 β€’ 3-DAY_ACTIVE_POLICY

Student Engineering Intern

Company
Company winsenlabs
Type
Opportunity Type Internship
Salary
Stipend / Salary Rs 15,000/month stipend
Location
Location Chennai, India
Posted Date
Posted Date Sep 07, 2026
Strong programming fundamentals problem solving system design basics AI coding tool usage testing and debugging Git version control clear communication curiosity ability to work independently
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Aptitude Practice Questions Open Resource β†—
Curated quantitative and logical reasoning problems to sharpen the analytical skills needed for the coding test.
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Company Interview Preparation Guide Open Resource β†—
Insights on typical interview formats, common technical questions, and preparation tips for engineering roles.
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Comprehensive Interview Prep Resource Open Resource β†—
Step‑by‑step tutorials covering data structures, algorithms, and mock interview strategies useful for Winsen Labs assessments.
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Algorithm Problem Set Open Resource β†—
A large collection of coding problems to practice implementation, testing, and optimization, aligning with the internship's coding test.

Currently enrolled in a B.Tech, B.E, M.Tech, or related engineering program (any branch). No specific CGPA or percentage cutoff mentioned. Must be able to commit to a part‑time schedule throughout the academic term. No active backlogs beyond the permissible limit set by the college. Open to students from CEG, MIT (Anna University), IIT Madras, and other Chennai‑based institutions.

1
Round 1: Online coding test
2
Round 2: Technical interview (focus on problem solving, AI‑tool usage, and system design)
3
Round 3: HR interview
Winsen Labs is an emerging AI‑focused technology startup headquartered in Chennai. The company builds intelligent products and internal platforms that help enterprises automate workflows, extract insights from data, and deliver personalized experiences. With a small but high‑energy engineering team, Winsen Labs encourages a culture of rapid experimentation, ownership, and continuous learning. The firm prides itself on leveraging cutting‑edge AI tools while maintaining rigorous software engineering standards, making it an attractive place for students who want to see their code run in production. The Student Engineering Intern role is a paid, part‑time, on‑site internship designed for current engineering students. Interns will work alongside senior engineers on real AI products and internal systems, turning loosely defined problems into production‑ready software. The schedule is flexible and will be aligned with the intern’s college timetable, allowing a realistic balance between academics and hands‑on experience. Key Responsibilities: 1. Design, develop, and ship features for AI‑driven applications and internal tooling. 2. Take ambiguous problem statements, ask clarifying questions, and define clear technical specifications. 3. Write clean, maintainable code and adhere to the team’s coding standards. 4. Use AI coding agents to accelerate development while thoroughly reviewing, testing, and debugging generated code. 5. Create comprehensive unit and integration tests covering normal, edge, and failure cases. 6. Document architectural decisions, trade‑offs, and implementation details for future reference. 7. Participate in code reviews, provide constructive feedback, and incorporate reviewer suggestions. 8. Present progress and learnings to the engineering team through demos or short talks. 9. Collaborate with product managers and designers to align technical solutions with user needs. 10. Contribute to the team’s knowledge base by writing blog posts or internal guides on AI‑assisted development. Tech Stack: Python, JavaScript/TypeScript, React, Node.js, Docker, Git, CI/CD pipelines, LLM‑based coding assistants (e.g., GitHub Copilot, Claude), cloud services (AWS/GCP). Growth Path: Successful interns may receive a full‑time offer after graduation, with clear pathways to roles such as Software Engineer, AI Engineer, or Product Engineer. Winsen Labs invests in mentorship, internal workshops, and exposure to end‑to‑end product development, enabling rapid skill advancement. Why Join: Interns gain real‑world experience building AI products, learn to responsibly harness AI coding tools, and enjoy a supportive environment that values curiosity and ownership. The flexible schedule, competitive stipend, and proximity to premier engineering colleges make this an ideal stepping stone for aspiring software engineers.

winsenlabs β€” QA & Automation Testing Interview Guide

Previously asked questions, exam syllabus, coding benchmarks & round strategy.

APTITUDE & LOGIC πŸ“–
Aptitude Practice Questions & Online Mock Tests

Curated logical, quantitative, and verbal reasoning problems to sharpen reasoning skills required for the initial screening test.

Open Resource β†—
COMPANY GUIDE 🎯
winsenlabs Interview Preparation Corner

Comprehensive guide covering typical interview formats, common questions, and preparation tips for winsenlabs and off-campus tech roles.

Open Resource β†—
MOCK TESTS & PAPERS πŸ“
Comprehensive Interview Prep Resources & Syllabus

Collection of previous year questions, company-specific test patterns, and interview experiences for technical and HR rounds.

Open Resource β†—
CODING PRACTICE πŸ’»
Algorithm and Data Structure Problem Set

Practice problems to improve coding proficiency and algorithm problem-solving speed for technical rounds.

Open Resource β†—
Round 1: Online Assessment (OA)
Aptitude, Quantitative Logic & 2 Coding Problems
Focus on accuracy and speed. Practice arrays, strings, and standard arithmetic puzzles.
Round 2: Technical Interview 1
Core Tech Stack (Strong programming fundamentals, problem solving, system design basics, AI coding tool usage, testing and debugging, Git version control, clear communication, curiosity, ability to work independently) & Live Code Tracing
Explain your thought process aloud. Analyze time & space complexities before coding.
Round 3: System Design & Problem Solving
Database Schemas, APIs & Architecture Basics
Clarify edge cases, diagram schemas cleanly, and discuss scalability trade-offs.
Round 4: HR & Cultural Fit Discussion
winsenlabs Core Values, Learning Agility & Offer Terms
Demonstrate passion, strong communication, and readiness for full-time collaboration.
What is the difference between Implicit Wait, Explicit Wait, and Fluent Wait in Selenium? Answer β–Ό
Model Answer: Implicit Wait sets a global timeout for all element lookups. Explicit Wait pauses execution until a specific ExpectedCondition (e.g. elementToBeClickable) is met. Fluent Wait allows defining polling frequency and ignoring specific exceptions like NoSuchElementException.
Explain the Page Object Model (POM) and its advantages in Test Automation. Answer β–Ό
Model Answer: POM is a design pattern that creates an object repository for web UI elements. It separates test scripts from page locators, reducing code duplication and making maintenance easy when UI elements change.
How do you handle dynamic WebElements whose ID changes on page reload? Answer β–Ό
Model Answer: Use dynamic XPath methods like contains(), starts-with(), text(), or XPath axes (ancestor, following-sibling, parent) instead of brittle absolute paths.
What is the difference between @BeforeMethod and @BeforeClass in TestNG? Answer β–Ό
Model Answer: @BeforeClass runs once before the first test method in the current class, while @BeforeMethod executes before each individual test method.
How do you validate REST API response codes and JSON payload using Postman / RestAssured? Answer β–Ό
Model Answer: In RestAssured: given().when().get('/endpoint').then().assertThat().statusCode(200).body('status', equalTo('ACTIVE')).
Why do you want to join winsenlabs as a Student Engineering Intern?
Preparation Tip: Highlight winsenlabs's market reputation, recent tech innovations, and how your skills in Strong programming fundamentals directly solve their team's objectives.
Describe a challenging bug or academic project roadblock and how you resolved it.
Preparation Tip: Use the STAR method: Situation (project context), Task (what needed solving), Action (specific tools/logic applied), Result (quantifiable positive outcome).
How do you handle strict deadlines or sudden scope changes?
Preparation Tip: Explain your prioritization strategy, proactive communication with mentors/peers, and agile mindset.

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