Finology

RAG & LLM Engineer Intern

InternshipIn OfficeKota, Rajasthan2 months23K/mo14 openingsImmediate / Rolling

About this internship

Finology has an open RAG & LLM Engineer Intern position in Kota for motivated freshers and final-year students. You will work on live retrieval-augmented generation projects and finish with something you can genuinely talk about in interviews. About the role As a RAG & LLM Engineer Intern at…

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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 2026, 2027 or 2028 — 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 Kota, Rajasthan or willing to work from there for the internship period

Perks & benefits

Networking with senior professionalsInternship CertificateLetter of RecommendationMentorship from a named mentorLive project experience

Interview & selection process

2 rounds — typical selection flow for this role:

1Application screening & resume shortlisting by the talent team
2Discussion with the hiring manager on the role and your fit

About Finology

Finology operates in the investor education & research sector and has an active presence in Kota. 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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