Full Stack Development - Internship (WFH)

About the internship:Selected intern's day-to-day responsibilities include:

1. Assist in developing AI-powered web applications using Python, JavaScript, and modern frameworks.

2. Explore and integrate generative AI tools, large language models (LLMs), and APIs into product features.

3. Build and test prototypes involving AI assistants, AI agents, and workflow automation.

4. Write, debug, and document code with guidance from the team.

5. Test applications and AI-generated outputs to improve accuracy, reliability, and user experience.

6. Collaborate with the founding team, share progress, and contribute ideas to ongoing projects.

7. Learn new technologies and apply them to practical development tasks.Who can apply:Only those candidates can apply who:are available for the work from home job/internshipcan start the work from home job/internship between 22nd Oct'26 and 26th Nov'26are available for duration of 3 monthshave relevant skills and interests* Women wanting to start/restart their career can also apply.are Computer Science Engineering studentsStipend:INR₹ 10,000 - 12,000 /monthDeadline:[hidden]:59:59Other perks:Certificate, Letter of recommendation, Flexible work hours, 5 days a weekSkills required:MySQL, JavaScript and PythonAbout Company:Ascar Labs is a technology startup focused on developing AI-powered products and web applications. We are building Jobround.ai, a platform that connects job seekers with industry experts for live mock interviews and personalized feedback. Our work includes full-stack development, artificial intelligence, and software product design. We offer a collaborative environment where team members gain hands-on experience, contribute to real projects, and help build products from the ground up.

Responsibilities

Selected intern's day-to-day responsibilities include:

1. Assist in developing AI-powered web applications using Python, JavaScript, and modern frameworks.

2. Explore and integrate generative AI tools, large language models (LLMs), and APIs into product features.

3. Build and test prototypes involving AI assistants, AI agents, and workflow automation.

4. Write, debug, and document code with guidance from the team.

5. Test applications and AI-generated outputs to improve accuracy, reliability, and user experience.

6. Collaborate with the founding team, share progress, and contribute ideas to ongoing projects.

7. Learn new technologies and apply them to practical development tasks.