A product engineer for AI features — builds the full surface around a model: the UI, the streaming, the state, the error handling and the feedback loop.
A tourism, leather and footwear manufacturing economy with a large local graduate pool and negligible competition for interns.
Also posted as: LLM App Developer Intern · AI Application Developer Intern · AI Product Engineer Intern
The most hireable AI role for companies without an ML team, because it is fundamentally a frontend or full-stack internship with an AI surface. Screen on shipped applications, not model knowledge — you can teach the API in a week, not the product judgement.
In Agra specifically, budget ₹11,500–₹32,500 per month for a llm application 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 Agra, 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: LLM Application Intern Location: Agra (on-site / hybrid — state which applies) Duration: 3–6 months Stipend: ₹11,500–₹32,500 per month Openings: [number] About the role A product engineer for AI features — builds the full surface around a model: the UI, the streaming, the state, the error handling and the feedback loop. What you will do • Build end-user AI interfaces — chat, streaming responses, citations and inline actions • Handle the unglamorous parts: timeouts, partial failures, rate limits and retries • Instrument user feedback (thumbs, corrections, abandonment) and route it back into evals • Manage conversation state, context windows and history truncation • Ship behind feature flags and run A/B comparisons between prompt or model versions • Keep an eye on per-user cost and add limits where a feature could be abused What we are looking for • JavaScript / TypeScript • React or Next.js • LLM API integration • REST APIs • Git • Product sense Bonus points for • Python • Streaming / SSE • Tailwind CSS • Analytics instrumentation Tools and technologies Next.js · TypeScript · Vercel AI SDK · Claude / OpenAI APIs · Postgres · PostHog or Mixpanel Who can apply • B.Tech / B.E. (CSE, IT) • BCA / MCA • B.Sc (CS) • Any degree with a strong shipped portfolio • Students and recent graduates available in Agra for 3–6 months What you will walk away with A user-facing AI feature shipped behind a flag, with instrumented feedback and a documented A/B result. 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 user-facing AI feature shipped behind a flag, with instrumented feedback and a documented A/B result.
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.
Show me an AI app you built. What happens in your UI when the model call times out?
How do you keep a long conversation inside the context window without losing the thread?
What signal would tell you users trust your AI feature?
Monthly bands for llm application intern roles, adjusted from the India-wide range of ₹18,000–₹50,000 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 | ₹23,500–₹65,000 | LLM Application Interns in Bengaluru |
| Mumbai | ₹22,500–₹62,500 | LLM Application Interns in Mumbai |
| Gurgaon | ₹22,000–₹61,000 | LLM Application Interns in Gurgaon |
| Hyderabad | ₹21,500–₹60,000 | LLM Application Interns in Hyderabad |
| Delhi | ₹21,500–₹60,000 | LLM Application Interns in Delhi |
| Pune | ₹20,500–₹57,500 | LLM Application Interns in Pune |
| Navi Mumbai | ₹20,000–₹55,000 | LLM Application Interns in Navi Mumbai |
| Chennai | ₹20,000–₹55,000 | LLM Application Interns in Chennai |
| Secunderabad | ₹20,000–₹55,000 | LLM Application Interns in Secunderabad |
| Noida | ₹20,000–₹55,000 | LLM Application Interns in Noida |
| Thane | ₹19,000–₹52,500 | LLM Application Interns in Thane |
| Pimpri-Chinchwad | ₹18,000–₹50,000 | LLM Application 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 Agra's talent pool.
₹11,500–₹32,500 per month is the working band for Agra. That is derived from the India-wide range of ₹18,000–₹50,000 per month adjusted for Agra'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 user-facing AI feature shipped behind a flag, with instrumented feedback and a documented A/B result. is what a full term should produce.
B.Tech / B.E. (CSE, IT); BCA / MCA; B.Sc (CS); Any degree with a strong shipped portfolio. 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.
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