MLOps Engineer — AI Platform & InfrastructureAHL + Saaf AI — Mortgage Lending, Reimagined

Saaf AI is building the future of mortgage lending by combining cutting-edge AI with proven lending operations. Saaf AI is part of American Heritage Lending, a top-10 private lender processing billions in loan volume, with 15+ years of growth. We are backed by some of the largest asset managers and funds and are growing fast.

We’re not experimenting with AI. We’re deploying it. From underwriting to document processing to borrower experience, all are shaped by AI. If you want to work somewhere that uses AI as a core building material — you’re in the right place.

The Role

We’re hiring an MLOps Engineer to own the infrastructure our AI runs on.

Our AI systems are already in production and already touching real loans. The next chapter is making them scale, deploy safely, and change quickly — infrastructure that absorbs real production load, a promotion path that makes shipping boring,



and internal tooling that lets the team improve AI behaviour without an infrastructure engineer in the loop for every change.

This is not a role where you inherit a mature platform and keep the lights on. You’ll take AI services that were built to prove the idea and turn them into systems that hold up under load, deploy predictably across environments, and give the rest of engineering a secure, fast path to production. You own the arc from “this works on one machine” to “this is a platform the whole company builds on.”

This role is right for you if:

You’ve taken AI or ML systems from a single deployment to infrastructure that scales — and you’ve been on call for the result
You treat infrastructure as a product with users, not a ticket queue
You think deploys should be boring, reversible, and frequent — and you’ve built the systems that make that true
You’d rather remove yourself from the critical path than be the person everyone has to ask

What You’ll Build

Scalable AI Serving Infrastructure

📌 MLOps Engineer (India)
🏢 Saaf Finance
📍 India