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Rapid7 logo — Rapid7 RAG & LLM Engineer Intern in Hyderabad, Telangana
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RAG & LLM Engineer Intern

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Location

Hyderabad, Telangana

Work Mode

In Office

Duration

3 months

Stipend

₹36,000/mo

Start Date

Immediate / Rolling

Openings

3 positions

Type

Full-time

Category

Artificial Intelligence

Apply Now — ₹36,000/moApply on Company Website ↗

About the Internship

Start your career in retrieval-augmented generation with Rapid7 as a RAG & LLM Engineer Intern in Hyderabad. You will sit with a working team, use the same tools and systems they do, and own a defined piece of work from day one. About the role As a RAG & LLM Engineer Intern at Rapid7, your core…

About Rapid7

Rapid7 offers a mentor-led RAG & LLM Engineer Intern in Hyderabad with live project work in artificial intelligence, a stipend of ₹36,000/month and a Pre-Placement Offer opportunity for strong performers.
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Hyderabad, TelanganaVerified employer3 openings
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Skills Required

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

Who Can Apply

  • Final-year students and recent graduates from B.E./B.Tech (CSE/IT/AI-ML), MCA or M.Sc (CS / Data Science) who are based in or willing to work from Hyderabad. You should be keen to learn Retrieval-Augmented Generation (RAG), Vector Databases (Pinecone / Chroma), Embeddings on real projects and able to write clearly. Freshers are welcome — no prior work experience is required, and a strong project portfolio matters more than a long CV.

Perks

Pre-Placement Offer (PPO) opportunityFlexible working hoursNetworking with senior professionalsInternship CertificateLetter of Recommendation

Interview & Selection Process

2 rounds — typical selection flow for this role:

  1. 1Application screening & resume shortlisting by the talent team
  2. 2Technical interview on fundamentals and your projects
36,000/month

Stipend · 3 months

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Openings3 positions
Applicants0 applied
ModeIn Office
CategoryArtificial Intelligence
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