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NVIDIA

AI Product Engineering Intern

InternshipWork from HomeSiliguri, West Bengal3 months29K/mo2 openingsImmediate / Rolling

About this internship

NVIDIA has an open AI Product Engineering Intern position in Siliguri for motivated freshers and final-year students. You will work on live AI product engineering projects and finish with something you can genuinely talk about in interviews. About the role As a AI Product Engineering Intern at…

Skills you'll use

PythonFastAPIREST APIsLLM IntegrationDockerGitCloud DeploymentTestingPrompt EngineeringSystem Design Basics

What you'll do

  • Work on wiring models into user-facing product features and APIs alongside the core team
  • Apply Python, FastAPI, REST APIs, LLM Integration 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 — 2026 freshers & final-year students welcome
  • Working knowledge of Python, FastAPI, REST APIs (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 Siliguri, West Bengal

Perks & benefits

Networking with senior professionalsInternship CertificateLetter of RecommendationMentorship from a named mentorLive project experience

Interview & selection process

3 rounds — typical selection flow for this role:

  1. 1Application screening & resume shortlisting by the talent team
  2. 2Team-fit / behavioural interview with the team
  3. 3HR discussion — stipend, start date, expectations and offer

About NVIDIA

NVIDIA operates in the artificial intelligence sector and has an active presence in Siliguri. 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…
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