Engineer Intern
Job details
Job Title: Engineering Intern (Paid) – Full Stack Product Development Company: GuideLite AI Location: Chennai, Coimbatore (Hybrid) Job Type: Internship (Paid) About GuideLite AI: GuideLite AI is at the forefront of developing advanced AI-driven solutions. We’re looking for motivated and talented engineering interns to join our team, specifically for full stack product development. If you’re passionate about AI and full stack development and studying at a top engineering institution like IIT or NIT, this is a great opportunity to gain hands-on experience in a fast-paced, innovative environment. Role Overview: As an Engineering Intern, you’ll work closely with our development team on all aspects of product development, from concept to deployment. You’ll gain experience across the full tech stack, enhancing your skills in front-end and back-end development, API integration, and product deployment, all while contributing to a real-world AI product. Responsibilities:
- Assist in developing, testing, and deploying web applications.
- Collaborate with senior engineers to create and implement new features.
- Participate in code reviews, ensuring high code quality and performance optimization.
- Work with both front-end and back-end technologies to create a seamless product experience.
- Troubleshoot, debug, and upgrade existing features to improve usability.
- Contribute to team meetings and project discussions to refine product design and functionality.
- Pursuing a degree in Computer Science, Engineering, or a related field at a top-tier engineering college (e.g., IIT, NIT).
- Strong foundation in JavaScript, HTML, CSS, and experience with React framework.
- Knowledge of back-end technologies like Node.js, Express, and databases (SQL or NoSQL).
- Familiarity with version control systems such as Git.
- A proactive attitude, strong problem-solving skills, and eagerness to learn.
- Paid internship with hands-on experience in real product development.
- Mentorship from experienced engineers and exposure to full stack development.
- Opportunity to contribute to an AI-driven product in a startup environment.
- Flexible work schedule with potential remote work options.
- Possibility for a long-term role based on performance.
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