Most generative ai intern listings fail the same way: they describe a person rather than a job. Candidates cannot tell what they would do on Monday, so the strong ones apply somewhere clearer.
Generative AI 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.
Worth separating from Generative AI Internship: same skills, different commitment. Generative AI Intern is a hire you scope around one deliverable, whereas generative ai internship is framed as a programme with a mentor and a fixed duration. Pick the framing that matches what you can actually offer, because candidates read the difference.
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 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.
- 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
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.
- 1Prompt design and structured output
- 2Retrieval-augmented generation
- 3Chunking and embedding strategy
- 4Evaluation of generated output
- 5Guardrails and refusal handling
- 6Token cost and latency management
- 7Grounding and citation
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 generative ai intern
These separate practice from theory. Ask two, listen for a specific example, then follow the example rather than moving to the next question.
How do you measure whether a generated answer is good?
What a good answer shows: Whether they have built an eval, or only vibes
Your RAG returns confident nonsense. Where do you look first?
What a good answer shows: Retrieval before generation — the correct instinct
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.
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.
- Skill tags — filter directly on OpenAI or Anthropic APIs, LangChain or LlamaIndex, Vector database and the rest of the Generative AI stack
- Availability window and notice, so a six-month role does not shortlist a six-week candidate
- Institute tier, if a specific campus cohort matters for this role
- Languages, for roles with customer or field contact across states
- 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 OpenAI or Anthropic APIs or LangChain or LlamaIndex returns people who have used them rather than people who listed them.
What to pay a single Generative AI intern in 2026
₹20,000–₹50,000 a month is the band we see for this role across India. The spread is mostly city and company stage, not candidate quality.
It filters for who can afford to work free, not who is good. It also roughly halves your applications, and removes most of the candidates who had a second option.
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.
The stipend calculator on this site uses live listing data for this role and city. A band chosen from memory is usually a year out of date, always in the same direction.
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.
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.
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 Generative AI 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 generative ai intern on MyInternships.in
Posting is free and takes about two minutes. Our AI assistant asks a few questions and writes the description, so you are not filling a long form.
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.
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.
Your company details are verified once. Candidates see the verified badge, which is the single biggest driver of reply rate on an unfamiliar company.
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.
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.
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.
Every serious candidate asks whether this can become full-time. Decide before the first interview; improvising the answer signals that nobody has thought about them past the term.
Good candidates have two or three processes running. A week between the first call and the offer loses them, and the delay is almost always internal scheduling rather than a real decision.
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.
Generative AI Intern — frequently asked questions
Which Generative AI skills are non-negotiable for generative ai intern?+
Insist on prompt design and structured output, and on enough retrieval-augmented generation to work unsupervised on small tasks. Chunking and embedding strategy 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 intern enough to move a real project forward?+
Yes, within a scoped brief. Ship one RAG feature with a measured answer-quality score 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 intern in India?+
₹20,000 to ₹50,000 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.
Is posting generative ai 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.
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 Generative AI roles, stating "three months, starting June" typically produces more applications than an open-ended listing at a higher stipend.
How do we stop unqualified applications for generative ai intern?+
Specificity does most of the work. A listing that names the project, the tools and the deliverable filters itself, because candidates can tell whether they fit. Adding one screening question to the application — from the set above — removes most of the rest without adding a review round.
Related roles employers hire alongside generative ai intern
Tools and pages for your hiring
Hire generative ai intern — post in about two minutes
Answer a few questions and our AI writes the description, suggests the title and tags the Generative AI skills. Your company is verified, the listing goes live, and applications start arriving.