Razorpay

RAG & LLM Engineer Intern

InternshipIn OfficePune, Maharashtra3 months36K/mo12 openingsImmediate / Rolling

About this internship

Join Razorpay in Pune as a RAG & LLM Engineer Intern. This entry-level internship is designed for students and recent graduates who learn best by building, shipping and getting real feedback on retrieval-augmented generation work. About the role As a RAG & LLM Engineer Intern at Razorpay, your…

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Skills you'll use

Retrieval-Augmented Generation (RAG)Vector Databases (Pinecone / Chroma)EmbeddingsPythonLangChain / LlamaIndexChunking StrategiesLLM EvaluationDocument ParsingREST APIsLatency & Cost Tuning

What you'll do

Work on building retrieval pipelines that keep model answers grounded in real documents alongside the core team
Apply Retrieval-Augmented Generation (RAG), Vector Databases (Pinecone / Chroma), Embeddings, Python to live, production-facing problems
Document your work clearly for reviewers and stakeholders
Participate in reviews and act on the feedback you receive
Collaborate across engineering, product, design or business as required
Follow the team's quality, testing and documentation standards

Who can apply

Pursuing or recently completed B.E./B.Tech (CSE/IT/AI-ML), MCA or M.Sc (CS / Data Science)
Graduating batch 2025, 2026 or 2027 — final-year students and recent graduates welcome
60% / 6.0 CGPA and above preferred; strong project work is considered alongside academics
Working knowledge of Retrieval-Augmented Generation (RAG), Vector Databases (Pinecone / Chroma), Embeddings (or a genuine willingness to learn them)
Exposure to Python, LangChain / LlamaIndex, Chunking Strategies is an advantage
Clear written and verbal communication in English, and care with detail in your work
No prior work experience required — this is a fresher-friendly internship
Based in Pune, Maharashtra or willing to work from there for the internship period

Perks & benefits

Mentorship from a named mentorLive project experienceExposure to professional tools and workflowsPre-Placement Offer (PPO) opportunityFlexible working hours

Interview & selection process

4 rounds — typical selection flow for this role:

1Application screening & resume shortlisting by the talent team
2Team-fit / behavioural interview with the team
3Online aptitude / domain assessment
4HR discussion — stipend, start date, expectations and offer

About Razorpay

Razorpay operates in the payments & banking technology sector and has an active presence in Pune. Interns here are put on real work from the start, because the team's view is that the fastest way to learn a craft is to practise it under people who already do it well — not to watch it from a…

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