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White Collar Realty Careers

LLM Intern -- Gurgaon / Gurugram

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LLM Intern

Want an LLM internship in Gurgaon? White Collar Realty offers a hands-on LLM internship working directly with large language models -- prompt engineering, retrieval-augmented generation (RAG), evaluation and applying LLMs to real content and support use-cases. You will design and test prompts for real tasks, build RAG flows, evaluate output quality, and explore fine-tuning and model options on live projects in Gurugram. Most courses only talk about LLMs; here you work with them hands-on on LIVE projects from day one. This is a Work-From-Office internship at our Gurgaon office, open to students and freshers, running 3 to 6 months. It is an unpaid internship with performance-based incentives on eligible roles. Every intern who completes the program receives a Certificate of Completion and a Recommendation Letter, and we offer a free shuttle to the metro. High-performing interns may be considered for PPO opportunities based on their performance and business requirements.

Gurgaon, Haryana Internship 2 openings Unpaid internship
3 / 6 months Certificate of Completion PPO opportunity (performance-based) Hands-on LLM work Live projects Certificate of Completion Recommendation Letter PPO opportunity (performance-based)

What You'll Do

  • Design and test prompts for real tasks
  • Build retrieval-augmented (RAG) flows
  • Evaluate LLM output quality
  • Explore fine-tuning and model options

What We're Looking For

  • Strong interest in LLMs and NLP
  • Basic Python a plus
  • Careful, detail-oriented tester

Experience

Experience: Internship — open to students and freshers

What You'll Learn

  • Building real AI products and automations
  • Prompt engineering
  • LLMs and AI agents
  • Chatbots and WhatsApp AI automation
  • Enterprise AI use-cases in real estate
  • Working with APIs and no-code / low-code tools

Tools You'll Use

ChatGPT / GPT-4 Claude Google Gemini LangChain / agent frameworks Python n8n / Make automation Vector databases WhatsApp Business API

Your Career Growth Path

Intern AI Associate AI Engineer Senior AI Engineer AI Product Lead Head of AI

Ready to Build Your Career with White Collar Realty?

Understanding This Internship

What does a LLM Intern do at White Collar Realty?

Work hands-on with large language models — prompting, RAG, evaluation and fine-tuning on real content.

Who should apply for this internship?

Strong interest in LLMs and NLP. Basic Python a plus. Careful, detail-oriented tester.

Who should NOT apply?

Anyone looking for a work-from-home role — this is a Work-From-Office role in Gurgaon. Anyone not willing to learn fast and experiment with new AI tools.

What will you learn in this internship?

Building real AI products and automations; Prompt engineering; LLMs and AI agents; Chatbots and WhatsApp AI automation; Enterprise AI use-cases in real estate; Working with APIs and no-code / low-code tools.

What tools and AI tools will you use?

You will get hands-on with ChatGPT / GPT-4, Claude, Google Gemini, LangChain / agent frameworks, Python, n8n / Make automation, Vector databases, WhatsApp Business API.

What projects will you work on?

AI agents and chatbots for real estate lead handling; AI automation for marketing and follow-ups; Internal AI tools and prompt-engineered workflows.

What are the career growth opportunities?

A clear growth path: AI Associate -> AI Engineer -> Senior AI Engineer -> AI Product Lead -> Head of AI. High performers grow faster based on results.

What happens after the internship?

You receive a Certificate of Completion and a Letter of Recommendation. High-performing interns may be considered for PPO (Pre-Placement Offer) opportunities based on their performance and business requirements.

Is this a paid internship?

This is an unpaid, learning-first internship focused on real project experience, with performance-based incentives and a PPO opportunity for high performers.

Where is this internship based?

This is a Work-From-Office internship at our Gurgaon (Gurugram) office on Golf Course Extension Road, Sector 67 — easily reachable from across Delhi NCR.

For Students From

Open to students and freshers from colleges and universities across Delhi NCR and India, including:

Amity University MDU Rohtak IILM University GD Goenka University BML Munjal University The NorthCap University Ansal University K.R. Mangalam University Galgotias University Lovely Professional University SRM University Chitkara University UPES Sushant University Manav Rachna University GGSIPU (IP University) Delhi University Amity Noida

Apply for this Role

Applying for LLM Intern. Our HR team will review your profile and respond within 3 working days.

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Frequently Asked Questions

Do I need to know Python for the LLM internship?
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.
What is RAG and will I really work on it?
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.
What does the LLM evaluation work involve?
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.
Will I get to work on fine-tuning?
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.
Is this internship remote or work-from-office?
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.
Can students from non-CS backgrounds apply?
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.
Which tools and models will I use?
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.
How do I apply and what is the selection process?
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.
When can I start and how long is the internship?
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.
Can I do this internship for academic credit?
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.
Do I need my own laptop?
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.
Will I have a mentor for the LLM work?
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.
How is this different from a prompt engineering course online?
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.
What makes a strong applicant for the LLM role?
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.
What do I receive on completion, and is a PPO possible?
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.
Where is the office and is the commute supported?
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.

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