AI Platform
/Trusted operator
ML Engineer — Applied
Applied ML
Compensation
INR 18 - 30 LPA + equity.
Engagement
Full-Time
Permanent role. Full-time commitment. Primarily on-site, with limited remote flexibility.
Scope of role
Drive specific initiatives with minimal supervision. Deepen craft. Begin mentoring others.
01 — The role
Why this role exists at EduRankAI
Build LLM features inside the product under Staff and Senior ML mentorship. RAG, evals, agents, structured output, prompt engineering. The role exists for engineers who already understand that the model is not the system — the surrounding plumbing is. You will pair with the Staff ML Engineer weekly, you will write your own evals, and you will grow into a Senior role over 18-24 months by demonstrating you can ship LLM features that hold up in production.
02 — The work
What you will own
- 01 Build LLM features inside the product.
- 02 Write evals that match real user behaviour, not toy benchmarks.
- 03 Maintain prompt + system-prompt assets.
- 04 Improve retrieval + grounding pipelines.
- 05 Triage LLM regressions from production and fix at root.
- 06 Participate in research↔product handoff.
03 — The expertise
What we look for
04 — The bar
Who thrives here
- → You have shipped at least one LLM-backed product feature that survived contact with real users for at least 3 months.
- → You have written at least one eval that caught a regression before users saw it.
- → You can describe a prompt-engineering win and the eval that proved it was real and not a one-off.
- → You read at least one ML or LLM paper a week.
- → You write code that other engineers would feel comfortable reviewing.
05 — Hiring process
What to expect after you apply
- 01
Application review
Every application is read personally within five business days. We respond either way.
- 02
Take-home or live exercise
Role-specific. Time-boxed. Real problems we are actually working on, not invented puzzles.
- 03
Conversations
Deep technical and values conversations with the team you would join. No trick questions. No panel ambushes.
- 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.
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.
Other roles in AI Platform
Explore related openings
Mid Full-Time