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Individual contributor at the frontier

Senior AI Engineer (LLMs & Agentic Systems)

Build grounded, evaluated LLM features: tutoring, assessment, agents with guardrails.

Senior Full-Time Remote / Hybrid (India) Permanent

Compensation

INR 20,00,000 - 40,00,000 per annum

Engagement

Full-Time

Permanent role. Full-time commitment. Primarily on-site, with limited remote flexibility.

Scope of role

Own complex problems end-to-end. Set technical direction. Mentor mid and junior teammates.

01 — The role

Why this role exists at EduRankAI

We ship LLM-powered tutoring, assessment, and workflow features to real learners — which means grounding, evaluation, and cost control matter more than demos. You will own LLM features end to end: retrieval design, tool use, guardrails, and the evaluation harnesses that prove they work.

02 — The work

What you will own

  • 01 Design and ship retrieval-grounded LLM features for tutoring, assessment, and internal tools.
  • 02 Build agentic workflows with tool use, structured outputs, and hard safety guardrails.
  • 03 Own evaluation: golden sets, regression suites, human-in-the-loop review, hallucination tracking.
  • 04 Optimise for cost and latency: caching, routing, context management, batching.
  • 05 Set the internal playbook for responsible LLM deployment in education.

03 — The expertise

What we look for

PythonLLM APIs & fine-tuningRetrieval-augmented generationVector databases & embeddingsPrompt & context engineeringEvaluation designTypeScript (a plus)Cost/latency optimisation

04 — The bar

Who thrives here

  • Bachelor's or Master's in Computer Science or related field.
  • 4-10 years of software engineering with 2+ years shipping LLM-backed features to production.
  • Evidence of rigorous evaluation practice, not just integrations.

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.

Senior Full-Time

Senior AI Engineer (LLMs & Agentic Systems)

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