Hire RAG Interns in Pune
Owns the retrieval half of AI features — chunking, embedding, indexing and ranking company content so models answer from facts instead of memory.
India’s deepest engineering-student concentration outside Bengaluru, with COEP, VIT, MIT and Symbiosis feeding IT, automotive and product companies in Hinjawadi and Kharadi.
Also posted as: Retrieval Augmented Generation Intern · RAG Engineer Intern · AI Search Intern
Before you post: what actually matters for this role
RAG is where most enterprise AI projects actually stall, so this intern often unblocks more value than a general AI hire. Candidates who came from a search or backend background tend to outperform pure ML candidates, because the hard parts are data plumbing and evaluation.
In Pune specifically, budget ₹23,000–₹63,000 per month for a rag intern — this is one of India’s most competitive markets for this role, so a slow process loses candidates rather than saves money.
RAG Intern job description template
Written for Pune, 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: RAG Intern Location: Pune (on-site / hybrid — state which applies) Duration: 3–6 months Stipend: ₹23,000–₹63,000 per month Openings: [number] About the role Owns the retrieval half of AI features — chunking, embedding, indexing and ranking company content so models answer from facts instead of memory. What you will do • Build ingestion pipelines that turn documents, tickets and wiki pages into a searchable index • Tune chunking strategy, embedding model and metadata schema against retrieval quality • Implement hybrid search combining keyword and vector retrieval, plus re-ranking • Measure retrieval precision and recall separately from generation quality • Handle document updates, deletions and access permissions in the index • Diagnose wrong answers back to their true cause — retrieval miss, ranking miss or generation error What we are looking for • Python • Vector databases • Embeddings • Search fundamentals • SQL • Evaluation mindset Bonus points for • Elasticsearch / OpenSearch • Re-ranker models • Document parsing (OCR, PDF) • Postgres pgvector Tools and technologies Pinecone / Weaviate / pgvector · LlamaIndex · Hugging Face embeddings · Elasticsearch · Python · Postgres Who can apply • B.Tech / B.E. (CSE, IT) • BCA / MCA • B.Sc / M.Sc (CS) • M.Tech • Students and recent graduates available in Pune for 3–6 months What you will walk away with A production retrieval pipeline with measured precision and recall, and a documented improvement over the naive baseline. How to apply [Add your application link, or post this role free on MyInternships.in and receive applications directly.]
What a rag intern actually does
- Build ingestion pipelines that turn documents, tickets and wiki pages into a searchable index
- Tune chunking strategy, embedding model and metadata schema against retrieval quality
- Implement hybrid search combining keyword and vector retrieval, plus re-ranking
- Measure retrieval precision and recall separately from generation quality
- Handle document updates, deletions and access permissions in the index
- Diagnose wrong answers back to their true cause — retrieval miss, ranking miss or generation error
What a good term produces
A production retrieval pipeline with measured precision and recall, and a documented improvement over the naive baseline.
Skills to screen for
Non-negotiable
- Python
- Vector databases
- Embeddings
- Search fundamentals
- SQL
- Evaluation mindset
Worth a higher stipend
- Elasticsearch / OpenSearch
- Re-ranker models
- Document parsing (OCR, PDF)
- Postgres pgvector
Tools & stack
- Pinecone / Weaviate / pgvector
- LlamaIndex
- Hugging Face embeddings
- Elasticsearch
- Python
- Postgres
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.
Three questions that separate rag intern candidates
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.
- 1
Your assistant returns the wrong document. How do you find out whether retrieval or ranking failed?
- 2
How would you chunk a 200-page policy PDF, and why that way?
- 3
What does retrieval recall mean in practice, and how would you measure it here?
RAG Intern stipend benchmark by city
Monthly bands for rag intern roles, adjusted from the India-wide range of ₹20,000–₹55,000 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–₹71,500 | RAG Interns in Bengaluru |
| Mumbai | ₹25,000–₹69,000 | RAG Interns in Mumbai |
| Gurgaon | ₹24,500–₹67,000 | RAG Interns in Gurgaon |
| Hyderabad | ₹24,000–₹66,000 | RAG Interns in Hyderabad |
| Delhi | ₹24,000–₹66,000 | RAG Interns in Delhi |
| PuneThis page | ₹23,000–₹63,000 | RAG Interns in Pune |
| Navi Mumbai | ₹22,000–₹60,500 | RAG Interns in Navi Mumbai |
| Chennai | ₹22,000–₹60,500 | RAG Interns in Chennai |
| Secunderabad | ₹22,000–₹60,500 | RAG Interns in Secunderabad |
| Noida | ₹22,000–₹60,500 | RAG Interns in Noida |
| Thane | ₹21,000–₹58,000 | RAG Interns in Thane |
| Pimpri-Chinchwad | ₹20,000–₹55,000 | RAG 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.
Hiring rag interns near Pune
Candidates routinely apply across a region rather than a single city — especially for remote and hybrid roles. These nearby markets share Pune's talent pool.
- RAG Interns in Mumbai
- RAG Interns in Navi Mumbai
- RAG Interns in Aurangabad
- RAG Interns in Kalyan-Dombivli
- RAG Interns in Nagpur
- RAG Interns in Nashik
- RAG Interns in Pimpri-Chinchwad
- RAG Interns in Thane
Hiring a rag intern in Pune — questions employers ask
What stipend should I offer a rag intern in Pune?+
₹23,000–₹63,000 per month is the working band for Pune. That is derived from the India-wide range of ₹20,000–₹55,000 per month adjusted for Pune'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.
What should a rag intern job description include?+
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.
How long should a rag intern internship be?+
3–6 months. Shorter than that and the intern spends the whole term ramping up; a production retrieval pipeline with measured precision and recall, and a documented improvement over the naive baseline. is what a full term should produce.
Which degrees should I accept for a rag intern role?+
B.Tech / B.E. (CSE, IT); BCA / MCA; B.Sc / M.Sc (CS); 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.
Is it free to post a rag intern internship on MyInternships.in?+
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.
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