Question 1

Do I need to know Python for the LLM internship?

Accepted Answer

Basic Python is a plus but not mandatory. A lot of the work is prompt design, building RAG flows and careful evaluation, so precision and curiosity matter as much as programming. You will learn the technical pieces on the job.

Question 2

What is RAG and will I really work on it?

Accepted Answer

RAG, or retrieval-augmented generation, is a technique where the model pulls in relevant information before answering so its responses are grounded and accurate. Yes, you will build real RAG flows on our content, which is one of the most in-demand LLM skills right now.

Question 3

What does the LLM evaluation work involve?

Accepted Answer

You will test LLM outputs for quality, accuracy and consistency, and help decide what good looks like for each task. This careful, structured testing is central to the role because a model is only useful if you can trust its outputs.

Question 4

Will I get to work on fine-tuning?

Accepted Answer

You will explore fine-tuning and model options as part of the internship, depending on what the projects need. Much of the practical value comes first from strong prompting and RAG, and you learn when fine-tuning is actually the right tool.

Question 5

Is this internship remote or work-from-office?

Accepted Answer

It is a Work-From-Office internship at our Gurgaon office. Being on-site helps you collaborate with the content and support teams whose real material you apply LLMs to.

Question 6

Can students from non-CS backgrounds apply?

Accepted Answer

Yes. A strong interest in LLMs and NLP and a careful, detail-oriented approach matter more than your branch. Students who are precise writers and rigorous testers often excel at prompt design and evaluation even without a heavy coding background.

Question 7

Which tools and models will I use?

Accepted Answer

You will work with large language models, RAG pipelines and evaluation methods, plus the tools used to test prompts and retrieval quality. The stack depends on the project, and you apply it to real content rather than sample data.

Question 8

How do I apply and what is the selection process?

Accepted Answer

Apply on the White Collar Realty careers page with your CV, and mention any prompting, NLP or LLM projects you have done. Shortlisted candidates have a short conversation, often including a practical prompting or evaluation task.

Question 9

When can I start and how long is the internship?

Accepted Answer

We take interns on a rolling basis, so start dates are flexible. The internship runs 3 to 6 months, and you agree the track and start date with the team once selected.

Question 10

Can I do this internship for academic credit?

Accepted Answer

Yes. It can be done as a credited internship or project, with a Certificate of Completion and documentation support if your college requires it. It is a good fit for a summer or semester internship requirement.

Question 11

Do I need my own laptop?

Accepted Answer

Yes, bring your own laptop. Since you work with LLMs largely through the browser and APIs, a reliable standard machine is enough and no specialised hardware is required.

Question 12

Will I have a mentor for the LLM work?

Accepted Answer

Yes. You get guidance on prompt design, building RAG flows and evaluating outputs, so you are supported as you learn. Reviewing prompts and results together is a regular part of the internship.

Question 13

How is this different from a prompt engineering course online?

Accepted Answer

Courses teach prompting on generic examples, but here you apply LLMs to real content and support use-cases with real quality standards. Building RAG, evaluating outputs and iterating on live material gives you depth that a course cannot.

Question 14

What makes a strong applicant for the LLM role?

Accepted Answer

A strong applicant is precise, curious about how models behave, and has experimented with prompting or LLM tools on their own. The ability to test carefully, notice subtle issues and explain your reasoning stands out more than raw coding ability.

Question 15

What do I receive on completion, and is a PPO possible?

Accepted Answer

Every intern who completes the program receives a Certificate of Completion and a Recommendation Letter reflecting your real project work. High-performing interns may be considered for PPO opportunities based on their performance and business requirements.

Question 16

Where is the office and is the commute supported?

Accepted Answer

The internship is based at our Gurgaon / Gurugram office, and we provide a free shuttle to the nearest metro, keeping the commute from across Delhi NCR manageable.

LLM Intern -- Gurgaon / Gurugram

LLM Intern

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