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Hire Generative AI Engineer Intern from India’s verified campus pool

What a single Generative AI intern should actually be able to do, what to pay in 2026, the questions that separate a real Generative AI candidate from a certificate, and how to post the role free.

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

₹22,000–₹55,000
Typical monthly stipend
1.2L+
Verified candidates
5,000+
Colleges & campuses
~2 hrs
To first applications

The hard part of hiring a single Generative AI intern is not finding applicants. It is writing a brief specific enough that the right applicants recognise themselves in it.

"Engineer" raises expectations on both sides. Candidates read it as owning a component and getting proper review; if the reality is ticket-taking with no reviewer, you will fill the role and lose the person in week six.

People searching for generative ai engineer intern often also look at genai intern. The skills overlap heavily; what differs is emphasis — this brief leans on the engineer side of the work, while genai intern leans on genai. If your requirement genuinely spans both, say so in the listing rather than picking one title and hoping.

Use it as a checklist. By the end you should be able to write a Generative AI listing that a strong candidate reads to the bottom, and screen the applications it brings in.

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What a single Generative AI 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.

  • Own one component end to end, including its tests and its documentation
  • Ship one RAG feature with a measured answer-quality score
  • Build the evaluation harness that catches regressions when the prompt changes
  • Cut token cost per request without losing quality
Put one of these in your listing
Listings with a named deliverable get more applications — and better ones.
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Generative AI 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.

Screen for these
  • 1Breaking a problem into shippable pieces without being told how
  • 2Prompt design and structured output
  • 3Retrieval-augmented generation
  • 4Chunking and embedding strategy
  • 5Evaluation of generated output
  • 6Guardrails and refusal handling
  • 7Token cost and latency management
  • 8Grounding and citation
Tools they should have touched
OpenAI or Anthropic APIsLangChain or LlamaIndexVector databasePythonStreamlit

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.

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

These separate practice from theory. Ask two, listen for a specific example, then follow the example rather than moving to the next question.

Q1

What part of a system have you owned, and what broke while you owned it?

What a good answer shows: Ownership experience and honesty about failure

Q2

How do you measure whether a generated answer is good?

What a good answer shows: Whether they have built an eval, or only vibes

Q3

Your RAG returns confident nonsense. Where do you look first?

What a good answer shows: Retrieval before generation — the correct instinct

Q4

What does one user session cost you in tokens?

What a good answer shows: Commercial discipline

Score every candidate on the same questions. Comparing free-form conversations across a shortlist is where inconsistency, and bias, get in.

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 Generative AI 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.

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 OpenAI or Anthropic APIs, LangChain or LlamaIndex, Vector database and the rest of the Generative AI stack
  • Portfolio and project evidence attached to the profile, rather than a résumé alone
  • Graduation year and current semester, so you only see candidates free when you need them
  • Availability window and notice, so a six-month role does not shortlist a six-week candidate
  • Degree and branch, for the roles where the coursework genuinely matters

Skill tags come from the candidate’s own projects and verified profile, so filtering on OpenAI or Anthropic APIs or LangChain or LlamaIndex returns people who have used them rather than people who listed them.

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

Typical monthly stipend
22,000 – ₹55,000

₹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.

Budget beyond the stipend

Add the reviewer’s hours, tooling access and a laptop if the role needs one. That is the true cost — and it is still far below a lateral hire.

Duration affects the rate

Six-month commitments generally command more per month than six-week ones, because the candidate is giving up other options. Price the commitment, not just the hours.

Publish the number in the listing

Listings that state a stipend get noticeably more qualified applications than "as per industry standards", which candidates read as low or undecided.

City moves the number more than skill does

Bengaluru, Hyderabad, Pune, Mumbai, Gurugram and Noida sit at the top of the band. Tier-2 cities typically run 25–40% lower for the same skills and the same output.

Publish the role with your stipend band
Listings that state the stipend get noticeably more qualified applicants.
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Getting one Generative AI 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.

Have day one ready before you offer

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.

Review early and small

Read their work in the first week, not the fourth. Early correction on a small piece of Generative AI work is cheap; late correction on a term’s work is not.

Give them one real user

Someone who wants the output and will complain if it is wrong. Work with no audience is the fastest route to a disengaged intern.

Decide in advance what "good" looks like

Write down what a successful term would produce. Otherwise the end-of-term assessment becomes a memory of impressions, and that helps nobody.

Set the programme up properly
Free templates: JD, offer letter, internship policy and hiring checklist.
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How to post generative ai engineer 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.

01
Describe the role in a sentence

Start with the outcome rather than the title: what you want finished by the end of the term. The assistant turns that into a Generative AI listing.

02
The AI writes the listing

You get a full Generative AI listing back in seconds, written to attract applications rather than to satisfy a form. Change anything you disagree with.

03
We verify your company

Your company details are verified once. Candidates see the verified badge, which is the single biggest driver of reply rate on an unfamiliar company.

04
Applications start arriving

Usually within a couple of hours. Shortlist using the screening questions above, or let the AI matcher rank the pool against your brief.

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.

Start the two-minute posting chat
No long forms — answer a few questions and review the draft.
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Mistakes that cost you the good Generative AI 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 Generative AI 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 "Engineer" loosely

Engineer framing raises expectations on both sides: candidates expect to own a component and expect code review. Only use it if there is a real engineer to review the work.

Confusing enthusiasm with capability

Interviews reward confidence, and confidence in early-career candidates is distributed unevenly by background rather than by ability. Score the answers, not the delivery.

Access arranged after the start date

An intern who spends week one waiting for a laptop and accounts rarely recovers the momentum. Prepare day one before you make the offer.

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

Which Generative AI skills are non-negotiable for generative ai engineer intern?+

Insist on breaking a problem into shippable pieces without being told how, and on enough prompt design and structured output to work unsupervised on small tasks. Retrieval-augmented generation is the third thing worth testing in the interview. Tool familiarity — OpenAI or Anthropic APIs, LangChain or LlamaIndex, Vector database — is a bonus rather than a filter: most of it is a week of learning for someone with the underlying skill.

Is generative ai engineer intern enough to move a real project forward?+

Yes, within a scoped brief. Own one component end to end, including its tests and its documentation 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 generative ai engineer 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.

What is the fastest way to tell a strong Generative AI candidate from a weak one?+

Ask about something that went wrong. "How do you measure whether a generated answer is good?" gets you whether they have built an eval, or only vibes, and two follow-up questions on their own example will tell you the depth. Candidates who have only studied the topic run out of specifics almost immediately.

What does it cost us in time to supervise one Generative AI 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.

Does the "Engineer" in Generative AI Engineer Intern change who we should hire?+

"Engineer" raises expectations on both sides. Candidates read it as owning a component and getting proper review; if the reality is ticket-taking with no reviewer, you will fill the role and lose the person in week six. In screening terms, that means adding one specific check: breaking a problem into shippable pieces without being told how.

Is posting generative ai engineer intern on MyInternships.in free?+

Yes. One listing is free and goes live after a quick company verification, usually inside two working days. Paid plans start at ₹499 for five postings a month, publish instantly with no review wait, and unlock every applicant's résumé and contact details. Both routes reach the same candidate pool.

Can we convert generative ai engineer intern into a full-time hire?+

Yes, and it is usually the cheapest senior-quality hire available to you: no agency fee, no technical ramp on your stack, and an assessment based on months of work rather than two interviews. Say so in the listing if conversion is genuinely possible — it widens the applicant pool measurably and costs nothing.

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