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Infibeam logo — Infibeam RAG Engineer Intern in Howrah, West Bengal
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RAG Engineer Intern

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Location

Howrah, West Bengal

Work Mode

Hybrid

Duration

6 months

Stipend

₹25,000/mo

Start Date

Immediate / Rolling

Openings

11 positions

Type

Full-time

Category

Generative AI

Apply Now — ₹25,000/moApply on Company Website ↗

About the Internship

Join Infibeam in Howrah as a RAG 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 engineering work. About the role As a RAG Engineer Intern at Infibeam, your…

About Infibeam

Infibeam offers a mentor-led RAG Engineer Intern in Howrah with live project work in generative ai, a stipend of ₹25,000/month and a Pre-Placement Offer opportunity for strong performers.
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Howrah, West BengalVerified employer11 openings
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Skills Required

RAGVector DatabasesEmbeddingsChunking StrategiesPythonLLM APIsPinecone or FAISSLangChainRetrieval EvaluationGit

Who Can Apply

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

Flexible working hoursNetworking with senior professionalsInternship CertificateLetter of RecommendationMentorship from a named mentorDirect access to the team that owns the data you work on

Interview & Selection Process

4 rounds — typical selection flow for this role:

  1. 1Application screening & resume shortlisting by the talent team
  2. 2Technical interview on fundamentals and your projects
  3. 3Practical assignment or case study with a short walkthrough
  4. 4HR discussion — stipend, start date, expectations and offer
25,000/month

Stipend · 6 months

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Openings11 positions
Applicants0 applied
ModeHybrid
CategoryGenerative AI
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