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OkCredit logo — OkCredit RAG & LLM Engineer Intern in Jamshedpur, Jharkhand
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RAG & LLM Engineer Intern

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Location

Jamshedpur, Jharkhand

Work Mode

Hybrid

Duration

3 months

Stipend

₹22,000/mo

Start Date

Immediate / Rolling

Openings

6 positions

Type

Full-time

Category

Artificial Intelligence

Apply Now — ₹22,000/moApply on Company Website ↗

About the Internship

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

About OkCredit

OkCredit offers a mentor-led RAG & LLM Engineer Intern in Jamshedpur with live project work in artificial intelligence, a stipend of ₹22,000/month and a Pre-Placement Offer opportunity for strong performers.
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Jamshedpur, JharkhandVerified employer6 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 Jamshedpur. 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

Exposure to professional tools and workflowsPre-Placement Offer (PPO) opportunityFlexible working hoursNetworking with senior professionalsInternship Certificate

Interview & Selection Process

2 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
22,000/month

Stipend · 3 months

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Openings6 positions
Applicants0 applied
ModeHybrid
CategoryArtificial Intelligence
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