Backend Development - Internship (WFH)

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

1. Collect, clean, and structure domain content from source materials such as textbooks, past papers, and reference notes.

2. Chunk content, generate embeddings, and set up and maintain a vector database.

3. Build retrieval pipelines to fetch relevant content based on topics and queries.

4. Design and refine prompts to generate exam-style questions using LLMs.

5. Parse and structure LLM outputs into a consistent question-and-answer format.

6. Test and validate generated outputs against reference material for accuracy and consistency.

7. Flag content requiring subject-matter expert review rather than independently certifying its correctness.

8. Maintain version control using Git and create basic pipeline documentation.

9. Share regular progress updates and demonstrate pipeline developments to the team.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 25th Sep'26 and 30th Oct'26are available for duration of 6 monthshave relevant skills and interestsare Computer Science Engineering students* Freshers looking for jobs may also applyStipend:INR₹ 16,000 - 20,000 /monthDeadline:[hidden]:59:59Other perks:Job offerSkills required:Backend development and Generative AI ToolsAbout Company:We are Abroad Consultants specializing in counseling medical and engineering students and helping them secure admissions to universities abroad.Additional information:Job offer: On successful conversion to a permanent employee, the candidate can expect a salary of ₹ 500000 to 700000/year

Responsibilities

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

1. Collect, clean, and structure domain content from source materials such as textbooks, past papers, and reference notes.

2. Chunk content, generate embeddings, and set up and maintain a vector database.

3. Build retrieval pipelines to fetch relevant content based on topics and queries.

4. Design and refine prompts to generate exam-style questions using LLMs.

5. Parse and structure LLM outputs into a consistent question-and-answer format.

6. Test and validate generated outputs against reference material for accuracy and consistency.

7. Flag content requiring subject-matter expert review rather than independently certifying its correctness.

8. Maintain version control using Git and create basic pipeline documentation.

9. Share regular progress updates and demonstrate pipeline developments to the team.