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Individual contributor at the frontier

Senior Knowledge Graph & Semantic AI Engineer

Build the knowledge layer: graphs, ontologies, retrieval, and reasoning over structured knowledge.

Senior Full-Time Remote / Hybrid (India) Permanent

Compensation

INR 20,00,000 - 38,00,000 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

Our education, assessment, and research products need machine-usable knowledge — curricula, skills, institutions, evidence — not just text. You will design the knowledge graphs and semantic infrastructure that make our AI systems grounded, auditable, and genuinely useful.

02 — The work

What you will own

  • 01 Design ontologies and knowledge graphs for courses, skills, credentials, and institutional data.
  • 02 Build entity resolution, linking, and knowledge-extraction pipelines from messy real-world sources.
  • 03 Implement graph-powered retrieval and reasoning for AI tutoring and search.
  • 04 Own graph storage, query performance, and data quality at scale.
  • 05 Publish internal standards for knowledge modelling across product teams.

03 — The expertise

What we look for

Knowledge graphs (RDF/property graphs)Graph databasesSPARQL/CypherEntity resolutionInformation extractionPythonEmbeddings & vector retrievalOntology designData pipelines

04 — The bar

Who thrives here

  • Bachelor's or Master's in Computer Science, Computational Linguistics, or related field.
  • 4-10 years in knowledge engineering, semantic systems, or data-intensive backends.
  • Shipped at least one production system built on a knowledge graph or large-scale structured knowledge.

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 Knowledge Graph & Semantic AI Engineer

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