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Jar logo — Jar RAG Pipeline Engineer Intern in Kochi, Kerala
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RAG Pipeline Engineer Intern

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Location

Kochi, Kerala

Work Mode

Hybrid

Duration

2 months

Stipend

₹21,000/mo

Start Date

Immediate / Rolling

Openings

8 positions

Type

Full-time

Category

Generative AI

Apply Now — ₹21,000/moApply on Company Website ↗

About the Internship

Jar is hiring a RAG Pipeline Engineer Intern in Kochi — a hands-on, mentor-led internship built for students and 2026 freshers who want real exposure to retrieval-augmented generation pipelines rather than a certificate-only programme. About the role As a RAG Pipeline Engineer Intern at Jar, your…

About Jar

Jar offers a mentor-led RAG Pipeline Engineer Intern in Kochi with live project work in generative ai, a stipend of ₹21,000/month and a Pre-Placement Offer opportunity for strong performers.
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Kochi, KeralaVerified employer8 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 Kochi. 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

Internship CertificateLetter of RecommendationMentorship from a named mentorLive project experienceExposure to professional tools and workflows

Interview & Selection Process

3 rounds — typical selection flow for this role:

  1. 1Application screening & resume shortlisting by the talent team
  2. 2Practical assignment or case study with a short walkthrough
  3. 3HR discussion — stipend, start date, expectations and offer
21,000/month

Stipend · 2 months

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Openings8 positions
Applicants0 applied
ModeHybrid
CategoryGenerative AI
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