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Quantiphi

LLMOps Intern

InternshipWork from HomeGandhinagar, Gujarat6 months34K/mo14 openingsImmediate / Rolling

About this internship

Start your career in LLM operations and deployment with Quantiphi as a LLMOps Intern in Gandhinagar. You will sit with a working team, use the same tools and systems they do, and own a defined piece of work from day one. About the role As a LLMOps Intern at Quantiphi, your core focus will be…

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Skills you'll use

PythonModel Serving (vLLM / FastAPI)DockerCloud (AWS / Azure / GCP)Prompt & Model VersioningObservability & TracingToken Cost MonitoringCaching StrategiesCI/CDIncident Response

What you'll do

  • Work on running language models in production without the bill or the latency getting out of hand alongside the core team
  • Apply Python, Model Serving (vLLM / FastAPI), Docker, Cloud (AWS / Azure / GCP) 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), MCA or M.Sc (Computer Science)
  • Graduating batch 2026, 2027 or 2028 — 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, Model Serving (vLLM / FastAPI), Docker (or a genuine willingness to learn them)
  • Exposure to Cloud (AWS / Azure / GCP), Prompt & Model Versioning, Observability & Tracing 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 Gandhinagar, Gujarat or willing to work from there for the internship period

Perks & benefits

Letter of RecommendationMentorship from a named mentorLive project experienceExposure to professional tools and workflowsPre-Placement Offer (PPO) opportunity

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 Quantiphi

Quantiphi operates in the applied ai & analytics sector and has an active presence in Gandhinagar. 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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