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Hire LLM Developer Intern — post free, shortlist this week

A practical brief for employers hiring one LLM intern: the LLM skills worth screening for, the work they can ship in ninety days, current stipend bands and the fastest way to publish the role.

Our AI writes the listing · every employer verified before going live

₹23,000–₹58,000
Typical monthly stipend
1.2L+
Verified candidates
5,000+
Colleges & campuses
~2 hrs
To first applications

LLM Developer Intern is a role people hire badly more often than they hire slowly. The fix is upstream of the interview: a named deliverable, a named reviewer and a stipend you have actually benchmarked.

Adding "Developer" changes the brief from understanding a system to building in it. A developer intern needs a repository, a ticket and a reviewer from week one; without those three they spend the term reading documentation and produce nothing you can keep.

People searching for llm developer intern often also look at llm engineer intern. The skills overlap heavily; what differs is emphasis — this brief leans on the developer side of the work, 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.

This page is written for the person doing the hiring, not for candidates. It covers what to screen for, what the market pays in 2026, and what to put in the listing. Posting the LLM role here is free.

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What one LLM intern actually does in the first 90 days

These are sized for a student with the fundamentals and no production experience, working under review. Pick one as the term goal rather than listing all five as expectations.

  • Ship one reviewed, merged change that goes to production during the term
  • 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
Put one of these in your listing
Listings with a named deliverable get more applications — and better ones.
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LLM skills worth screening for

Rank them before the first interview. Deciding afterwards which mattered is how a shortlist gets re-ordered to fit whoever interviewed best.

Screen for these
  • 1Reading an existing codebase before changing it
  • 2Context window management and chunking
  • 3Structured output and function calling
  • 4Retrieval pipelines and reranking
  • 5Fine-tuning versus prompting trade-off
  • 6Evaluation harnesses and regression testing
  • 7Latency, streaming and caching
  • 8Prompt injection awareness
Tools they should have touched
Anthropic or OpenAI APIsLangChain or LlamaIndexPinecone or pgvectorPythonEvaluation frameworks

Do not require every tool. Most LLM tooling is a week of learning for someone with the underlying skill, and each extra "must have" costs you applications.

Tag these skills on your listing
Skill-tagged listings are matched to candidates who actually have them.
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Screening questions for llm developer intern

Use these on a first call. They are built so that someone who has done the work answers quickly, and someone who has read about it hedges.

Q1

Show me something you built and tell me what you would do differently now.

What a good answer shows: Self-critique, which predicts how they will take code review

Q2

When is fine-tuning worth it over prompting plus retrieval?

What a good answer shows: Cost and maintenance reasoning

Q3

What is prompt injection and how do you defend a tool-using agent?

What a good answer shows: Security awareness that most candidates lack

Leave silence after the follow-up. The most useful part of these answers usually arrives after the candidate thinks they have finished.

Post the role and start screening this week
First applications usually arrive within about two hours of going live.
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Where the LLM candidates come from

Thousands of highly skilled fresh graduates and final-year students are already registered, from India’s premium institutes and its strongest regional campuses. Filter on Anthropic or OpenAI APIs, graduation year and city, and reach them the same day you post.

1.2L+
Verified candidate profiles
5,000+
Colleges and campuses covered
IIT · IIM · BITS · NIT
Premium institutes in the pool
100%
Employers verified before going live
Filter the pool by
  • Skill tags — filter directly on Anthropic or OpenAI APIs, LangChain or LlamaIndex, Pinecone or pgvector and the rest of the LLM stack
  • Institute tier, if a specific campus cohort matters for this role
  • City and willingness to relocate, or remote-only if the role is remote
  • Prior llm exposure — coursework, personal projects or a previous internship
  • Languages, for roles with customer or field contact across states

You can also work the other way round: search the pool first, shortlist the LLM profiles you want, and post the listing knowing who you are hoping to reach.

Reach this pool today
Post the role, or let the AI matcher rank candidates against your brief.
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What to pay one LLM intern in 2026

Typical monthly stipend
23,000 – ₹58,000

Budget ₹23,000–₹58,000 a month, and decide where in the band you sit before the first interview rather than during the offer call.

Company stage matters as much as size

Funded product startups often pay above large services firms for the same role, because they are competing for the same few candidates and can decide faster.

Match the payment cycle to a student’s reality

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.

Pay on time, every month, without being chased

Late stipends are the most common complaint from interns in India and they travel fast through campus groups. It costs you next year’s pool as well as this one.

Do not negotiate an intern down

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.

Publish the role with your stipend band
Listings that state the stipend get noticeably more qualified applicants.
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Scoping a single LLM intern properly

One intern, one owner, one project that matters. Single hires fail for a boring reason: the work was never scoped, so the intern spent the term on whatever was in front of whoever was free that day.

Write the deliverable first

Pick one item from the LLM list above and make it the term’s goal. If nobody can name the deliverable, the role is not ready to post.

Name the owner

One person who reviews the work weekly and answers questions daily. Shared ownership at this level means nobody owns it.

Plan for week one

Access, environment, a first small task and a person to sit with. The first week decides whether you get twelve productive weeks or eight.

Set a mid-point checkpoint

A halfway review lets you change scope while it still matters and gives feedback while the intern can still act on it.

Set the programme up properly
Free templates: JD, offer letter, internship policy and hiring checklist.
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How to post llm developer intern on MyInternships.in

You do not need a prepared job description. Answer a few questions in the chat and the assistant drafts the listing, title and skill tags for you.

01
Describe the role in a sentence

Tell it you are hiring llm developer intern, roughly how long for and what you can pay. Everything else it asks for is optional.

02
The AI writes the listing

The draft comes back complete — description, responsibilities and LLM skill tags — with a live preview of exactly how candidates will see it.

03
We verify your company

Verification happens before publication and usually takes under two working days on the free plan, or instantly on a paid plan.

04
Applications start arriving

You review applicants in the dashboard, shortlist, and message candidates directly. Most employers interview within the first week.

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.

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Mistakes that cost you the good LLM candidates

None of these are hypothetical. They are the patterns behind listings that get plenty of applications and no hires.

Listing every technology instead of the three that matter

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.

Using "Developer" loosely

Developer framing draws builders. Give them something to build in week one — a developer brief with no ticket attached loses the strongest applicants inside a month.

One person doing all the interviewing

A single interviewer hires people like themselves. A second pair of eyes on the shortlist costs half an hour and materially changes who gets through.

A job description written for the ATS, not the candidate

Requirement lists assembled from other postings read as generic and attract generic applications. Write what this person will actually do this term.

Avoid all four — post with the AI assistant
It drafts a specific, skill-tagged listing instead of a generic one.
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LLM Developer Intern — frequently asked questions

What skills should llm developer intern have?+

The three that matter most are Reading an existing codebase before changing it; Context window management and chunking; Structured output and function calling. Beyond those, look for working familiarity with Anthropic or OpenAI APIs, LangChain or LlamaIndex, Pinecone or pgvector. Everything else on the list above is teachable inside a term — treating it as an entry requirement shrinks your pool without improving the hire.

What can llm developer intern realistically deliver?+

Ship one reviewed, merged change that goes to production during the term. That is sized for eight to twelve weeks of supervised work by someone with the fundamentals and no production experience. A second, smaller piece — build a reproducible eval suite for the main prompt path — usually fits alongside it. Anything requiring independent production judgement should stay with the reviewer.

How do we benchmark the stipend for llm developer intern?+

Start from ₹23,000–₹58,000 a month, then adjust for city and duration: metros at the top, tier-2 typically 25–40% lower, and six-month commitments above six-week ones. Publish the number in the listing — "as per industry standards" is read as low or undecided, and it costs you applications from exactly the candidates who had another option.

How do we screen llm developer intern in a first call?+

Ask "When is fine-tuning worth it over prompting plus retrieval?" — you are listening for cost and maintenance reasoning. Then follow the example they give rather than moving on to your next question. Score every candidate on the same set so the shortlist stays comparable.

What should a LLM intern deliver by the end of the term?+

One finished, reviewed piece of work that someone on the team would otherwise have done — not a side project nobody adopts. The deliverables above are sized for eight to twelve weeks of supervised work by a student with the fundamentals but no production experience. If they can demo it and the team keeps using it after they leave, the hire paid for itself.

Is a developer intern different from a general intern in this skill?+

Yes, and the difference is what you must provide rather than what they must have. A developer brief promises build work, so it needs repository access, a real ticket and a named reviewer from day one. If those are not ready, hire against the general brief instead — a developer intern with nothing to build leaves inside a month, and usually tells their campus why.

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.

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.

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Related roles employers hire alongside llm developer intern

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