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Ema

RAG & LLM Engineer Intern

InternshipHybridGurugram, Haryana2 months25K/mo5 openingsImmediate / Rolling
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About this internship

Join Ema in Gurugram as a RAG & LLM 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 work. About the role As a RAG & LLM Engineer Intern at Ema, your core…

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Skills you'll use

Retrieval-Augmented Generation (RAG)Vector Databases (Pinecone / Chroma)EmbeddingsPythonLangChain / LlamaIndexChunking StrategiesLLM EvaluationDocument ParsingREST APIsLatency & Cost Tuning

What you'll do

  • Work on building retrieval pipelines that keep model answers grounded in real documents alongside the core team
  • Apply Retrieval-Augmented Generation (RAG), Vector Databases (Pinecone / Chroma), Embeddings, Python to live, production-facing problems
  • Document your work clearly for reviewers and stakeholders
  • Participate in reviews and act on the feedback you receive
  • Collaborate across engineering, product, design or business as required
  • Follow the team's quality, testing and documentation standards

Who can apply

  • Pursuing or recently completed B.E./B.Tech (CSE/IT/AI-ML), MCA or M.Sc (CS / Data Science)
  • Graduating batch 2025, 2026 or 2027 — final-year students and recent graduates welcome
  • 60% / 6.0 CGPA and above preferred; strong project work is considered alongside academics
  • Working knowledge of Retrieval-Augmented Generation (RAG), Vector Databases (Pinecone / Chroma), Embeddings (or a genuine willingness to learn them)
  • Exposure to Python, LangChain / LlamaIndex, Chunking Strategies is an advantage
  • Clear written and verbal communication in English, and care with detail in your work
  • No prior work experience required — this is a fresher-friendly internship
  • Based in Gurugram, Haryana or willing to work from there for the internship period

Perks & benefits

Mentorship from a named mentorLive project experienceExposure to professional tools and workflowsPre-Placement Offer (PPO) opportunityFlexible working hours

Interview & selection process

4 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. 3Discussion with the hiring manager on the role and your fit
  4. 4HR discussion — stipend, start date, expectations and offer

About Ema

Ema operates in the enterprise ai sector and has an active presence in Gurugram. Interns here are put on real work from the start, because the team's view is that the fastest way to learn a craft is to practise it under people who already do it well — not to watch it from a distance. The work runs…
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