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Nanonets

Generative AI Intern

InternshipHybridBhopal, Madhya Pradesh2 months24K/mo8 openingsImmediate / Rolling

About this internship

Join Nanonets in Bhopal as a Generative AI Intern. This entry-level internship is designed for students and recent graduates who learn best by building, shipping and getting real feedback on generative AI engineering work. About the role As a Generative AI Intern at Nanonets, your core focus will…

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Skills you'll use

PythonLLM APIsPrompt EngineeringRAGVector DatabasesLangChainEmbeddingsEvaluationHugging FaceGit

What you'll do

  • Work on building on top of language models so the output is grounded, evaluated and safe to put in front of a customer alongside the core team
  • Apply Python, LLM APIs, Prompt Engineering, RAG 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/ECE), BCA/MCA or B.Sc/M.Sc (Computer Science / IT)
  • 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 Python, LLM APIs, Prompt Engineering (or a genuine willingness to learn them)
  • Exposure to RAG, Vector Databases, LangChain 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 Bhopal, Madhya Pradesh 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 hoursDirect 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

About Nanonets

Nanonets operates in the insurance sector and has an active presence in Bhopal. 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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