You are hiring a single LLM intern. The gap between a listing that fills in a week and one that sits open for two months is almost never the stipend — it is whether the brief names the actual llm work.
LLM Intern is a well-defined brief, which helps at screening time: the skills below are specific enough that twenty minutes of questions will separate someone who has done the work from someone who has read about it.
People searching for llm intern often also look at llm engineer intern. The skills overlap heavily; what differs is emphasis, while llm engineer intern leans on engineer. If your requirement genuinely spans both, say so in the listing rather than picking one title and hoping.
Below: the skills worth testing, the work a student can genuinely finish in a term, 2026 stipend bands, and questions that have a wrong answer. Posting is free and takes about two minutes.
What a single LLM intern actually does in the first 90 days
Each of these is work a team member would otherwise do. That is the test of a good intern brief: real work already on someone's list, not a project invented to keep the intern busy.
- Build a reproducible eval suite for the main prompt path
- Add retrieval reranking and measure the accuracy change
- Implement response caching and report the cost saving
LLM skills worth screening for
Screen on the first three. The rest are teachable inside a term, and treating them as entry requirements shrinks your pool for no gain.
- 1Context window management and chunking
- 2Structured output and function calling
- 3Retrieval pipelines and reranking
- 4Fine-tuning versus prompting trade-off
- 5Evaluation harnesses and regression testing
- 6Latency, streaming and caching
- 7Prompt injection awareness
The tools column is where CV inflation happens. Pick two and ask what went wrong the last time they used them; the answer is unfakeable.
Screening questions for llm intern
These separate practice from theory. Ask two, listen for a specific example, then follow the example rather than moving to the next question.
When is fine-tuning worth it over prompting plus retrieval?
What a good answer shows: Cost and maintenance reasoning
What is prompt injection and how do you defend a tool-using agent?
What a good answer shows: Security awareness that most candidates lack
Score every candidate on the same questions. Comparing free-form conversations across a shortlist is where inconsistency, and bias, get in.
Where the LLM candidates come from
You are hiring from a verified pool of students and recent graduates across India: premium institutes and strong regional colleges both, with projects, skill tags and availability already on the profile. Every employer is verified before a listing goes live, which is why candidates here actually reply.
- Skill tags — filter directly on Anthropic or OpenAI APIs, LangChain or LlamaIndex, Pinecone or pgvector and the rest of the LLM stack
- Languages, for roles with customer or field contact across states
- Degree and branch, for the roles where the coursework genuinely matters
- Availability window and notice, so a six-month role does not shortlist a six-week candidate
- Graduation year and current semester, so you only see candidates free when you need them
Skill tags come from the candidate’s own projects and verified profile, so filtering on Anthropic or OpenAI APIs or LangChain or LlamaIndex returns people who have used them rather than people who listed them.
What to pay a single LLM intern in 2026
₹22,000–₹55,000 a month is the band we see for this role across India. The spread is mostly city and company stage, not candidate quality.
Monthly on a fixed date, not "at the end of the project". Students plan rent and fees around the date, and irregular payment is the fastest route to a mid-term exit.
If this role can become full-time, say so and treat the stipend as the first rung rather than the whole compensation conversation. It materially widens who applies.
The saving is a few thousand rupees; the cost is a candidate who starts feeling undervalued and treats the term as temporary. Decide the number, publish it, honour it.
A remote role competes with every city’s employers for the same candidate. Discounting a remote stipend to tier-2 levels loses you the tier-1 applicants you opened it up to reach.
Getting one LLM intern to actually produce something
The difference between an intern who ships and one who does not is almost never talent. It is whether the work was ready on their first day and whether someone read it on their second week.
Laptop, accounts, repository or dataset access, and a task small enough to finish in two days. Interns who spend week one waiting for access rarely recover the momentum.
Read their work in the first week, not the fourth. Early correction on a small piece of LLM work is cheap; late correction on a term’s work is not.
Someone who wants the output and will complain if it is wrong. Work with no audience is the fastest route to a disengaged intern.
Write down what a successful term would produce. Otherwise the end-of-term assessment becomes a memory of impressions, and that helps nobody.
How to post llm intern on MyInternships.in
The whole flow is a short chat. Company details are verified before the listing goes live, which is exactly why candidates trust and answer these listings.
Describe the role the way you would to a colleague: what the llm work is, how long for, and what you can pay. The assistant asks the rest.
You get a full LLM listing back in seconds, written to attract applications rather than to satisfy a form. Change anything you disagree with.
We check the company behind every listing before it publishes. Candidates see that badge, and it is the difference between a listing being ignored and being answered.
First applications typically land the same day. Contact details and résumés are available on any paid plan; the free plan shows you the applications.
Free plan: one listing, live after verification. Starter ₹499: five listings a month, published instantly, full applicant contact and résumé access. Growth ₹999: fifteen listings with AI candidate matching.
Mistakes that cost you the good LLM candidates
Four failures we see repeatedly on this kind of role, in rough order of what they cost.
A LLM listing with fourteen required tools reads as a company that does not know what it needs. Strong candidates self-select out; the ones who apply anyway have inflated their CVs to match.
If nobody can name the problem this intern solves, the term will be filled with whatever is urgent that week, and the assessment at the end will be about attitude rather than output.
Definition questions test revision, not ability. Ask about something they built and follow their answer — the depth appears within two follow-ups.
Requirement lists assembled from other postings read as generic and attract generic applications. Write what this person will actually do this term.
LLM Intern — frequently asked questions
Which LLM skills are non-negotiable for llm intern?+
Insist on context window management and chunking, and on enough structured output and function calling to work unsupervised on small tasks. Retrieval pipelines and reranking is the third thing worth testing in the interview. Tool familiarity — Anthropic or OpenAI APIs, LangChain or LlamaIndex, Pinecone or pgvector — is a bonus rather than a filter: most of it is a week of learning for someone with the underlying skill.
Is llm intern enough to move a real project forward?+
Yes, within a scoped brief. Build a reproducible eval suite for the main prompt path is achievable in a term with weekly review, and it is genuine output rather than a training exercise. What does not work is open-ended ownership of anything with production consequences — keep the judgement calls with the reviewer and the execution with the intern.
What stipend should we pay llm intern in India?+
₹22,000 to ₹55,000 a month covers most of the market for this role. Metro product companies pay at the top of the band; tier-2 cities and services firms 25–40% lower. An unpaid listing filters for who can afford to work free rather than who is good, and roughly halves the applications you receive.
Can we screen llm intern without a technical interviewer?+
For a first pass, yes. Ask "When is fine-tuning worth it over prompting plus retrieval?" and judge whether the answer is specific and consistent — you are checking for cost and maintenance reasoning, which does not require you to know the subject. A LLM practitioner should still take the second round, because at that point you are assessing depth rather than authenticity.
What does it cost us in time to supervise one LLM intern?+
Realistically two to four hours a week of a competent person: a longer session early on, then short daily availability and a weekly review. Below that, the intern stalls and produces nothing you can use. Above it, you are doing the work yourself. That time is the true cost of the hire, and it is what the stipend line in your budget does not show.
What documents does a LLM intern usually need at the end?+
Most Indian colleges ask for a completion or experience certificate, and many also require a mentor evaluation on the institution's own form. Ask which format the candidate's college needs during onboarding rather than in the final week — it takes two minutes then and becomes a scramble later.
Should the listing state the duration and start date?+
Always. Students plan around semester dates, and a listing without a start date and duration is filtered out by exactly the organised candidates you want. For LLM roles, stating "three months, starting June" typically produces more applications than an open-ended listing at a higher stipend.
Can we hire llm intern remotely, or in a specific city?+
Both. The pool covers every major hiring city and hundreds of tier-2 and tier-3 towns, and the role can be posted as remote, hybrid or on-site. For LLM work specifically, remote widens the pool considerably — filter on skill and availability rather than pin code unless the work genuinely requires presence.
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