Builds product features on top of generative models — text, image or code — and owns the prompt, retrieval and evaluation layers that make them reliable enough to ship.
IIT Kanpur plus a large industrial and leather-goods base — top-tier technical candidates in a market with minimal intern competition.
Also posted as: GenAI Engineer Intern · Generative AI Engineer Intern · GenAI Intern
This is the highest-competition title in Indian early talent, and the one where JD precision matters most. Say which model family, which use case and whether the work is retrieval-heavy or generation-heavy. Vague GenAI posts attract volume; specific ones attract the ten people who have actually shipped something.
In Kanpur specifically, budget ₹14,000–₹42,000 per month for a generative ai intern — well below metro rates for comparable candidates, which makes this an efficient market if the work can be done here or remotely.
Written for Kanpur, with the stipend band, responsibilities, skills and eligibility already filled in. Replace the bracketed fields, and it is ready for your careers page, your ATS or a free posting here.
One thing worth keeping: the stipend line. Listings that state a number consistently receive more qualified applications than listings that say “as per industry standards”, because strong candidates filter out anything they would have to negotiate blind.
Post it free on MyInternships.inJob Title: Generative AI Intern Location: Kanpur (on-site / hybrid — state which applies) Duration: 3–6 months Stipend: ₹14,000–₹42,000 per month Openings: [number] About the role Builds product features on top of generative models — text, image or code — and owns the prompt, retrieval and evaluation layers that make them reliable enough to ship. What you will do • Design, version and test prompts for production features rather than one-off demos • Build retrieval pipelines so model answers are grounded in the company’s own content • Create golden datasets and automated evals that catch quality regressions before users do • Implement guardrails — refusals, output validation, PII handling and fallback behaviour • Benchmark model options on cost, latency and quality, and write up the trade-off • Work with design and product to turn a vague “add AI here” into a scoped, testable feature What we are looking for • Python • Prompt engineering • LLM API integration • Vector search basics • Git • Structured written analysis Bonus points for • RAG implementation experience • Fine-tuning / LoRA • TypeScript • Streaming UIs Tools and technologies Anthropic Claude API · OpenAI API · LangChain / LlamaIndex · Pinecone, Weaviate or pgvector · Hugging Face · Python Who can apply • B.Tech / B.E. (CSE, IT) • BCA / MCA • B.Sc / M.Sc (CS, Data Science) • M.Tech • Students and recent graduates available in Kanpur for 3–6 months What you will walk away with A grounded, evaluated generative feature in production — with a documented prompt history, an eval suite and a cost-per-request number. How to apply [Add your application link, or post this role free on MyInternships.in and receive applications directly.]
What a good term produces
A grounded, evaluated generative feature in production — with a documented prompt history, an eval suite and a cost-per-request number.
Non-negotiable
Worth a higher stipend
Name your actual stack in the listing. Candidates match on tools before they read anything else, and a specific stack draws applicants whose project work already lines up.
These are written so an HR generalist can ask them without domain expertise. You do not need to evaluate the technical answer — listen for whether the candidate reasons from something they actually did, or from something they read.
Walk me through a prompt you iterated on. What was wrong with version one, and how did you know version four was better?
How would you stop a customer-facing assistant from inventing a policy that does not exist?
Your feature works in testing and fails for real users. What are the first three things you check?
Monthly bands for generative ai intern roles, adjusted from the India-wide range of ₹20,000–₹60,000 per month. The spread reflects employer competition for the same candidates, not candidate quality — which is exactly why hiring outside the metros or remotely is worth considering for this role.
| City | Monthly stipend band | Role page |
|---|---|---|
| Bengaluru | ₹26,000–₹78,000 | Generative AI Interns in Bengaluru |
| Mumbai | ₹25,000–₹75,000 | Generative AI Interns in Mumbai |
| Gurgaon | ₹24,500–₹73,000 | Generative AI Interns in Gurgaon |
| Hyderabad | ₹24,000–₹72,000 | Generative AI Interns in Hyderabad |
| Delhi | ₹24,000–₹72,000 | Generative AI Interns in Delhi |
| Pune | ₹23,000–₹69,000 | Generative AI Interns in Pune |
| Navi Mumbai | ₹22,000–₹66,000 | Generative AI Interns in Navi Mumbai |
| Chennai | ₹22,000–₹66,000 | Generative AI Interns in Chennai |
| Secunderabad | ₹22,000–₹66,000 | Generative AI Interns in Secunderabad |
| Noida | ₹22,000–₹66,000 | Generative AI Interns in Noida |
| Thane | ₹21,000–₹63,000 | Generative AI Interns in Thane |
| Pimpri-Chinchwad | ₹20,000–₹60,000 | Generative AI Interns in Pimpri-Chinchwad |
Bands are indicative monthly stipends for internships, not full-time salaries. Adjust for duration, in-office versus remote, and whether the role carries a pre-placement offer.
Candidates routinely apply across a region rather than a single city — especially for remote and hybrid roles. These nearby markets share Kanpur's talent pool.
₹14,000–₹42,000 per month is the working band for Kanpur. That is derived from the India-wide range of ₹20,000–₹60,000 per month adjusted for Kanpur's talent market. Pay below the band and you will still receive applications — just not from the candidates who have other options. Applications close fast and strong candidates hold multiple offers — move within a week of shortlisting.
Six specific responsibilities, the non-negotiable skills, the tools and stack you actually use, eligible degrees, the duration, and the stipend. The stipend matters most: listings that state a number receive substantially more qualified applications than listings that say "as per industry standards". The template on this page has all of it filled in — edit the bracketed fields and post it.
3–6 months. Shorter than that and the intern spends the whole term ramping up; a grounded, evaluated generative feature in production — with a documented prompt history, an eval suite and a cost-per-request number. is what a full term should produce.
B.Tech / B.E. (CSE, IT); BCA / MCA; B.Sc / M.Sc (CS, Data Science); M.Tech. Filtering harder than this — on college tier or CGPA — removes more good candidates than weak ones in this role. Screen on the work sample instead.
Yes. Posting internships and jobs is free, with no limit on the number of roles. Every listing is reviewed before it goes live, so your post sits alongside verified openings rather than scraped duplicates. If you would rather search candidates directly than wait for applications, the resume database is available on a paid plan.
A Generative AI intern builds on top of existing foundation models — prompting, retrieval, evaluation and product integration. A Machine Learning intern trains and tunes models on your own data. Different skill sets and different candidate pools, so post them as separate roles rather than one blended listing.
Yes, and this is one of the most remote-friendly technical internships in India — the work is code, evals and documentation. Offering remote or hybrid meaningfully widens your applicant pool beyond your own city, particularly into tier-2 engineering colleges.
Teams hiring a generative ai intern usually open at least one of these in the same quarter.
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