Student Engineering Intern

The interview process typically starts with a timed online coding test focusing on data structures and algorithmic problem solving. Successful candidates move to a technical interview where they discuss past projects, demonstrate AI‑assisted coding workflows, and solve a live problem. The final HR round assesses cultural fit, communication skills, and internship logistics. Preparation should include practicing coding problems, reviewing AI tool usage, and articulating project experiences.

Winsen Labs promotes a collaborative, fast‑paced environment where engineers are encouraged to experiment with AI tools while maintaining code quality. The company offers mentorship, regular knowledge‑sharing sessions, and a healthy work‑life balance, especially for interns juggling academics. Growth opportunities are tied to performance, with clear pathways to full‑time roles for high‑performing interns.

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.

Round 1: Online coding test → Round 2: Technical interview (focus on problem solving, AI‑tool usage, and system design) → 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.