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Learn at the frontier

LLM Engineer Intern

The engineering side of large language models — serving, optimising, and integrating them reliably — distinct from the research side; for students who want to build production LLM systems.

Intern Internship Remote / Hybrid (India) 3 Months

Engagement

Internship

Full-time and on-site at our campus. Structured, hands-on mentorship. Remote only in rare, pre-approved cases.

Scope of role

Contribute to live projects. Shadow senior practitioners. Build a portfolio that matters.

Please note this is an unpaid internship — the offer is real work, mentorship and experience at the frontier, not a stipend.

01 — The role

Why this role exists at EduRankAI

EduRankAI is developing next-generation technologies in Artificial Intelligence, Education Technology, Research, Product Engineering, and Digital Innovation. The engineering side of large language models — serving, optimising, and integrating them reliably — distinct from the research side; for students who want to build production LLM systems.

02 — The work

What you will own

  • 01 Support building and testing LLM inference pipelines.
  • 02 Assist in optimising latency and cost for LLM-serving infrastructure.
  • 03 Help integrate LLM APIs (self-hosted and third-party) into product features.
  • 04 Debug and document LLM-serving issues.
  • 05 Support load-testing and reliability work for LLM endpoints.

03 — The expertise

What we look for

PythonLLM APIs (OpenAI-compatible/self-hosted)Inference optimisation basicsAPI integrationDebugging & testing

04 — The bar

Who thrives here

  • Students pursuing undergraduate or postgraduate programs from any discipline are encouraged to apply; students from the disciplines listed under Specialisation are especially encouraged.
  • Available for a full-time, 6-day-per-week internship for the stated duration.

05 — Hiring process

What to expect after you apply

  1. 01

    Application review

    Every application is read personally within five business days. We respond either way.

  2. 02

    Take-home or live exercise

    Role-specific. Time-boxed. Real problems we are actually working on, not invented puzzles.

  3. 03

    Conversations

    Deep technical and values conversations with the team you would join. No trick questions. No panel ambushes.

  4. 04

    Offer or honest no

    If yes: digital offer letter, signed in-portal, transparent terms. If no: written feedback if you want it.

Before you start

What we will collect. What it costs. What we will not do with it.

We will collect

  • Name, email, phone — Account + application updates. No marketing.
  • Resume / portfolio link — Human review of your work.
  • Date + place of birth — Identity verification only.
  • Your written responses — Selection rubric. Read by humans.
  • Government ID (later) — Anti-fraud at offer / interview stage. Not at signup.

We will never

  • Sell your data
  • Share with third-party recruiters
  • Use for advertising
  • Train models on it
  • Send marketing email

Our situation

EduRankAI is a small, independent organization building long-term capabilities in educational intelligence, advanced AI systems, and research infrastructure. We take no advertiser money, no donations with strings attached, and no investor pressure on hiring decisions. Applying is free, and every application is read by a human — recruitment, technical, academic and leadership teams. It buys us the right to be honest.

Full transparency policy Questions? Email us

Ready to apply?

We read every application personally. If you are the right person for this role — regardless of pedigree, background, or where you are based — you will hear back from us within five business days.

Intern Internship

LLM Engineer Intern

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