AI Platform
/Senior leadership
Staff ML Engineer — Applied
Applied ML & Agents
Compensation
INR 45 - 75 LPA + equity.
Engagement
Full-Time
Permanent role. Full-time commitment. Remote-first, with periodic in-person off-sites.
Scope of role
Set direction within your domain. Build and mentor a team. Own outcomes at the function level.
01 — The role
Why this role exists at EduRankAI
Take our foundation models and turn them into product. Agents, retrieval, tools, evals, structured output. You are the bridge between the research lab and what users actually see inside AquinTutor, the AI tutor, the proctoring assistant. The role exists because most "LLM features" fail in production not because the model is wrong, but because the surrounding system is sloppy — bad retrieval, fragile prompts, no evals, no fallback. You will fix that, and you will train the rest of the team in how to.
02 — The work
What you will own
- 01 Build agents and tool-using systems on top of our LLMs.
- 02 Design retrieval and grounding pipelines that actually work at production scale.
- 03 Author the applied-ML eval harness; make it the place we discover regressions before users do.
- 04 Ship LLM features inside AquinTutor, the AI tutor, the proctoring assistant.
- 05 Lead the prompt engineering and system-prompt design practice.
- 06 Mentor mid and senior ML engineers; bring at least one to Senior readiness over 18 months.
03 — The expertise
What we look for
04 — The bar
Who thrives here
- → You have shipped at least two LLM-backed product features that survived contact with real users for 6+ months.
- → You can describe a specific LLM regression you caught with an eval that you wrote yourself.
- → You write better prompts than the people you work with — and you can teach them why.
- → You have read enough agent literature to have an opinion about what does and does not work.
- → You write code that you would be comfortable showing in a code review at Anthropic or DeepMind.
05 — How we work
The EduRankAI environment
Remote-first, async-first
Work from anywhere. We optimise for deep work, not face time. Periodic in-person off-sites for the full-time team.
High autonomy, high standards
We hire adults and trust them. You will be expected to set your own goals, communicate clearly, and ship.
Builders, not bureaucrats
We optimise for clarity over process. Make the call, ship the work, write up what you learned.
Bharat-built, globally ambitious
We are an Indian frontier AI lab. We build for India first and the world second — in that order.
06 — 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.
Application fee
CHF 100
Lead tier
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. The small per-application fee covers the real cost of processing your application — human review, identity verification, infrastructure, reviewer time. It buys us the right to be honest. Genuine financial hardship? Request a fee waiver inside the application — reviewed individually within 5 business days, with no record in your file and no second-class treatment of waiver-granted applications.
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
Lead Full-Time