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pi-labs.ai
VP

Engineering Head (VP/EM)

pi-labs.aiVisit website ·Posted today

Location

Pune District, Maharashtra, India

Required Skills

AIDevOps

About the Role

**We’re Hiring . Engineering Head (VP/EM): pi-authentify . pi-labs . Pune


At pi-labs, we’re building AI platforms that defend digital truth at the highest levels of national security and intelligence.

We’re looking for a heavyweight technical leader to head engineering for pi-aunthentify, our AI-powered media authentication engine.

This isn’t a role for someone who manages from a distance. We need a hands-on Engineering Head who is as comfortable in the codebase as they are in a sprint planning meeting, the bridge between cutting-edge research and a production-ready product.

You’ll be responsible for:

— End-to-end ownership of the Authentify product lifecycle

— Deep-dive technical oversight across CV and audio feature integration

— High-quality code reviews and architectural integrity

— Regular engine upgrades and client deployments with clinical precision

— Forensic-grade data pipelines, from collection to model-ready input

— Automation of manual workflows and DevOps optimization

What we’re looking for:

— B.Tech/M.Tech in Computer Science or Electronics

— 6–8 years of engineering experience with a strong background in productionizing deep learning models

— Hands-on coder — this is non-negotiable

— Deep working knowledge of latest DL architectures

— Someone who wants to solve one of the hardest problems in digital integrity

Compensation:

Open to market leading standards for the right candidate

If you’re a technical leader who still loves to code and wants to solve one of the hardest problems in digital integrity, let's talk.

If this sounds like you, reach out directly to raghu@pilabs.ai or raghu.sesha@alumni.iith.ac.in

HireIQ AI InsightsBeta

Ideal Candidate

An engineer who has shipped 2+ deep learning models to production (not research), spent years optimizing computer vision or audio pipelines at scale, and still writes code daily.

Estimated Salary Range(medium confidence)

2.8 Cr – ₹4.5 Cr per year

Likely Interview Questions

  1. 1.Walk us through a deep learning model you took from research to production—what broke, how did you fix the data pipeline, and what was your code ownership percentage?
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