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Zoho

Generative AI Intern

InternshipIn OfficePanaji, Goa2 months39K/mo4 openingsImmediate / Rolling
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About this internship

Join Zoho in Panaji 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 work. About the role As a Generative AI Intern at Zoho, your core focus will be building…

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Skills you'll use

PythonLarge Language ModelsPrompt EngineeringLangChainHugging Face TransformersRAG PipelinesVector DatabasesPyTorchREST APIsModel Evaluation

What you'll do

  • Work on building, prompting and evaluating LLM-powered features alongside the core team
  • Apply Python, Large Language Models, Prompt Engineering, LangChain 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/BCA/MCA/M.Sc (CS, AI, Data Science) — 2026 freshers & final-year students welcome
  • Working knowledge of Python, Large Language Models, Prompt Engineering (or a genuine willingness to learn them)
  • Strong fundamentals in your discipline and clear problem-solving ability
  • Care with detail and the discipline to document your work
  • Clear written and verbal communication in English
  • Based in or willing to work from Panaji, Goa

Perks & benefits

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

Interview & selection process

2 rounds — typical selection flow for this role:

  1. 1Application screening & resume shortlisting by the talent team
  2. 2Technical interview on fundamentals and your projects

About Zoho

Zoho operates in the saas sector and has an active presence in Panaji. 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 at…
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