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RAG Systems Intern

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Location

Kanpur, Uttar Pradesh

Work Mode

Work from Home

Duration

3 months

Stipend

₹27,000/mo

Start Date

Immediate / Rolling

Openings

4 positions

Type

Full-time

Category

Generative AI

Apply Now — ₹27,000/moApply on Company Website ↗

About the Internship

ICRA has an open RAG Systems Intern position in Kanpur 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 Systems Intern at ICRA, your core focus…

About ICRA

ICRA offers a mentor-led RAG Systems Intern in Kanpur with live project work in generative ai, a stipend of ₹27,000/month and a Pre-Placement Offer opportunity for strong performers.
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Kanpur, Uttar PradeshVerified employer4 openings
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Skills Required

Retrieval-Augmented GenerationEmbeddingsVector DatabasesChunking StrategyPythonLLM APIsEvaluation MetricsPrompt DesignDocument ParsingCitations & Grounding

Who Can Apply

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

Networking with senior professionalsInternship CertificateLetter of RecommendationMentorship from a named mentorLive project experienceStructured onboarding and a formal mentor at a large, established employer

Interview & Selection Process

3 rounds — typical selection flow for this role:

  1. 1Application screening & resume shortlisting by the talent team
  2. 2Discussion with the hiring manager on the role and your fit
  3. 3HR discussion — stipend, start date, expectations and offer
27,000/month

Stipend · 3 months

Apply Now →
Openings4 positions
Applicants0 applied
ModeWork from Home
CategoryGenerative AI
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