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Appiness Interactive logo — Appiness Interactive RAG Pipeline Engineer Intern in Kota, Rajasthan
Appiness Interactive VerifiedActively Hiring

RAG Pipeline Engineer Intern

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Location

Kota, Rajasthan

Work Mode

Hybrid

Duration

3 months

Stipend

₹20,000/mo

Start Date

Immediate / Rolling

Openings

7 positions

Type

Full-time

Category

Generative AI

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About the Internship

Join Appiness Interactive in Kota as a RAG Pipeline 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 pipelines work. About the role As a RAG Pipeline Engineer…

About Appiness Interactive

Appiness Interactive offers a mentor-led RAG Pipeline Engineer Intern in Kota with live project work in generative ai, a stipend of ₹20,000/month and a Pre-Placement Offer opportunity for strong performers.
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Kota, RajasthanVerified employer7 openings
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Skills Required

Retrieval-Augmented Generation (RAG)EmbeddingsVector Databases (Pinecone / Qdrant)PythonChunking & IndexingLlamaIndex / LangChainHybrid SearchCitation & GroundingEvaluation MetricsDocument Parsing

Who Can Apply

  • Final-year students and recent graduates from B.E./B.Tech (CSE/IT/AI-ML), MCA or M.Sc (Computer Science / Data Science) who are based in or willing to work from Kota. You should be keen to learn Retrieval-Augmented Generation (RAG), Embeddings, Vector Databases (Pinecone / Qdrant) 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

Flexible working hoursNetworking with senior professionalsInternship CertificateLetter of RecommendationMentorship from a named mentor

Interview & Selection Process

2 rounds — typical selection flow for this role:

  1. 1Application screening & resume shortlisting by the talent team
  2. 2Team-fit / behavioural interview with the team
20,000/month

Stipend · 3 months

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Openings7 positions
Applicants0 applied
ModeHybrid
CategoryGenerative AI
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