Student Engineering Intern & Revvity AI Internship 2026 | Paid Opportunities
Students and fresh graduates looking for practical internships in 2026 can explore these opportunities from Winsen Labs and Revvity. The openings cover engineering, AI, Generative AI, LLMs, programming and enterprise technology, giving students opportunities to learn while working on real-world problems with professional teams.
Both opportunities can add practical experience and resume value while exposing candidates to real systems, business challenges and modern technology workflows. If you are interested in engineering or AI careers, these internships can help you develop transferable skills and create stronger opportunities for your future career.
Also Read: Enterpret, Amazon & Xerox Internships 2026 | Latest AI Internships 2026
1. Winsen Labs – Student Engineering Intern
| Company | Winsen Labs |
|---|---|
| Internship Role | Student Engineering Intern |
| Qualification | Current students at CEG, MIT (Anna University) and IIT Madras; students from other Chennai colleges may also apply |
| Experience | As per official information |
| Location | Chennai |
| Department | Engineering |
| Duration | Through the academic term |
| Employment Type | Part-time |
| Work Mode | On-site |
| Stipend | Paid internship; amount as per official information |
| PPO | As per official information |
About the Internship
Winsen Labs is offering a paid Student Engineering Intern opportunity in Chennai designed specifically for students who want to continue working alongside their college studies. The internship is built around real engineering work rather than a short project week, with students working on AI products and internal systems. A key prerequisite is being AI native and using coding agents as part of the development process while still understanding and checking the code they produce.
Role Overview
The intern will work on real engineering problems and contribute to parts of Winsen Labs’ AI products and internal systems. The role involves taking loosely defined problems and turning them into working software, testing solutions against real inputs and edge cases, documenting technical decisions and presenting what has been built and learned. The flexible schedule is designed around the student’s college timetable.
Key Responsibilities
- Build and improve parts of our AI products and internal systems
- Take a loosely defined problem and turn it into working software
- Test your work against real inputs, edge cases, and failure modes
- Write clear code and document the decisions behind it
- Show what you built and what you learned as you go
Required Skills
- Strong programming fundamentals and curiosity about how systems work
- Evidence that you build things outside your coursework
- Comfort learning quickly and asking precise questions
- Care for correctness, clarity, and the people who will use your work
- A schedule that genuinely leaves room for this alongside your degree
- AI native: You use coding agents as part of how you build, while still understanding and checking the code they produce
Eligibility & Work Schedule
The opportunity is aimed at current students at College of Engineering, Guindy, Madras Institute of Technology and IIT Madras. Students at other colleges in Chennai can also apply by selecting Other on the application and mentioning their college. The internship is part-time, on-site in Chennai and worked around the student’s college timetable. Winsen Labs will agree the hours with the selected student rather than assigning a fixed shift.
Stipend & Benefits
This is a paid internship, but the company has not publicly disclosed a specific stipend amount in the provided job details. The major benefit is the opportunity to continue working throughout the academic term on real AI products and internal systems while gaining practical engineering experience alongside college.
Why This Internship Is Valuable
This internship is particularly relevant for students who want to become software engineers or AI engineers while still in college. Building real systems, testing against failure modes, documenting decisions and working with AI coding agents can strengthen practical engineering ability. The experience can also help students create stronger project portfolios and prepare for future software, AI and engineering opportunities.
Recommended Skills & Learning Resources
Interview Preparation
For engineering internship interviews, prepare programming fundamentals, projects you have built, debugging, problem-solving and questions about how you use AI tools responsibly while validating generated code. You can also review this internship interview preparation guide for technical and behavioral preparation.
How to Apply for Winsen Labs Student Engineering Intern
- Click the Apply Now button below.
- Open the official Winsen Labs application page.
- Tell the company what you want to build and provide a link to something you have already made.
- Attach your updated résumé and provide your college details accurately.
- Submit the application and ensure your schedule genuinely allows you to continue the internship alongside college.
2. Revvity – AI Internship
| Company | Revvity |
|---|---|
| Internship Role | AI Internship |
| Qualification | As per official information |
| Experience | As per official information |
| Location | Thāne, India |
| Department | Admin, Legal, Finance, Corporate Function / Enterprise AI |
| Duration | As per official information |
| Employment Type | Full time |
| Work Mode | As per official information |
| Stipend | As per official information |
| PPO | As per official information |
About the Internship
Revvity is a developer and provider of end-to-end solutions designed to help scientists, researchers and clinicians solve major health challenges. The company is offering an AI internship focused on how Generative AI and large language models can transform business operations. Interns will work across departments to identify AI opportunities, develop prototypes and contribute to AI-driven tools that improve productivity and employee empowerment.
Role Overview
The internship provides exposure to enterprise AI applications, prompt engineering, LLMs, AI model integration and full-stack technologies. During the first 30 days, interns will learn about enterprise systems, existing AI initiatives and business operations while building relationships across departments. Beyond 60 days, the focus expands to prototypes, proof-of-concepts, AI-driven workflow tools, model integration, performance evaluation and stakeholder presentations.
Key Responsibilities
- Complete onboarding, gaining familiarity with our enterprise systems and ongoing AI initiatives
- Provide feedback on your onboarding experience, embodying our value of continuous improvement
- Build relationships across various departments to understand their unique challenges and AI opportunities
- Gain a basic understanding of our business operations and how AI can enhance productivity
- Develop prototypes and proof-of-concepts for AI-powered features that can boost employee productivity and creativity
- Contribute to the development of prompt engineering strategies for various business applications
- Participate in creating AI-driven tools that can be integrated into our existing workflow systems
- Collaborate on AI model integration projects, ensuring seamless user experiences across different platforms
- Assist in evaluating and benchmarking AI performance against business KPIs and user satisfaction metrics
- Present your work and findings to stakeholders, translating complex AI concepts for both technical and non-technical audiences
Required Skills
- Strong interest in enterprise AI applications
- Familiarity with popular LLMs such as ChatGPT, Claude, or others
- Familiarity with python, Next.JS, Docker and full stack technologies
- Basic understanding of prompt engineering concepts
- Proficiency in at least one programming language (js preferred)
- Ability to work in a fast-paced, rapidly changing environment
- Strong problem-solving skills and meticulous attention to detail
- Excellent communication skills, both written and verbal
- Bonus: Understanding of business processes and enterprise software systems
Our Values in Action
- Embrace the unknown: Be prepared to tackle unprecedented challenges in applying AI to diverse business functions.
- Partner with purpose: Collaborate closely with employees across all levels to understand and meet their AI-driven needs.
- Passion for people: Focus on developing AI solutions that empower and uplift our workforce.
- Collaborate for success: Embrace teamwork, transparency, and integrity as we integrate AI into our corporate culture.
Personality Traits
- Openness: The ability to take on new challenges and learn new things.
- Conscientiousness: The ability to work independently and deliver high-quality work.
- Extraversion: The ability to communicate directly with customers and users, and to present your work clearly and effectively to different stakeholders as needed.
- Agreeableness: Be kind and thoughtful. We value people who are respectful of others and who are willing to jump in and help where and when needed.
- Neuroticism: Although we try and minimize stress levels, there will be deadlines to meet. Plans can change, so the ability to pivot and adapt to changing priorities will be important.
Stipend & Benefits
The company has not officially disclosed the internship stipend in the provided job details. Candidates should verify compensation directly through the official application process. The internship offers exposure to enterprise AI applications, collaboration with different business functions, AI prototyping, prompt engineering, AI model integration and stakeholder communication.
Why This Internship Is Valuable
Revvity’s internship can be valuable for students and early-career candidates who want to move beyond basic AI experimentation and understand how AI is applied inside an enterprise. Experience with LLMs, prompt engineering, Python, Next.JS, Docker, full-stack technologies and business workflows can support future opportunities in AI engineering, GenAI application development, automation and enterprise software.
Recommended Skills & Learning Resources
Interview Preparation
Candidates should be ready to discuss LLMs, Generative AI, prompt engineering, Python or JavaScript, AI projects, business use cases and how AI can improve productivity. Also prepare examples that demonstrate problem-solving, communication, adaptability and teamwork.
How to Apply for Revvity AI Internship
- Review the official Revvity job description carefully.
- Complete the mandatory candidate application form for the 2026 AI internship.
- Submit the internship application through the Revvity Workday portal.
- Make sure both the mandatory form and Workday application are completed, as candidates who complete only one step will not be considered for further evaluation.
- Keep your resume updated with AI projects, programming skills, LLM exposure and relevant technical experience.
Which Internship Should You Choose?
| Company | Best For | Skills You’ll Learn | PPO | Work Mode |
|---|---|---|---|---|
| Winsen Labs | Engineering students interested in AI products | Programming, AI products, coding agents, testing, debugging, documentation | As per official information | On-site, Chennai |
| Revvity | Students interested in Enterprise AI & GenAI | LLMs, prompt engineering, Python, Next.JS, Docker, full stack, AI integration | As per official information | As per official information |
If you are a college engineering student who wants to build real systems while continuing your degree, Winsen Labs is particularly relevant because it is part-time and designed around the college timetable. If your target is AI, Generative AI, LLM applications and enterprise automation, Revvity offers broader exposure to business-focused AI projects. Students interested in software, full-stack development and AI engineering can benefit from either opportunity depending on their current skills, location and preferred work environment.
Related Opportunities
- Unisys AI Engineering Intern 2026
- Electronic Arts Software Engineer Intern 2026
- More Software Engineering Internships 2026
Frequently Asked Questions
Which internship is best for engineering students?
Winsen Labs is particularly suitable for current engineering students who want a part-time internship that can be continued alongside college. The role is designed around the student’s timetable and focuses on real engineering and AI products.
Are these internships paid?
Winsen Labs explicitly describes its Student Engineering Intern role as a paid internship, although the stipend amount is not disclosed in the provided details. Revvity’s provided listing does not specify the internship stipend.
Can these internships help with future AI careers?
Yes. Both opportunities provide exposure to practical technology work. Winsen Labs focuses on engineering, AI products, coding agents and software development, while Revvity focuses strongly on enterprise AI, LLMs, prompt engineering, AI prototypes and business applications.
If either opportunity matches your profile, apply early rather than waiting until the application pool becomes larger. Before applying, improve the technical skills mentioned in the job description, prepare your best projects and practise explaining your work clearly in interviews. Keep exploring more internships regularly because consistent applications combined with stronger skills can significantly improve your chances of starting a technology career.