Director of Artificial Intelligence

IDfy is seeking a seasoned

AI Lead / Principal Engineer

to drive impactful,

production-scale AI initiatives across our pioneering TrustStack platforms (OnboardIQ, OneRisk, Privy).

If you have 10-15 years of hands-on experience solving complex problems in

Computer Vision, NLP, and GenAI

and know what it takes to build and maintain high-performance systems at scale, we want to hear from you!

About IDfy

IDfy is Asia's leading TrustStack, making compliance easy, fraud detection smarter, and onboarding seamless. Trusted by global leaders like

HDFC Bank, Zomato, Amazon, PhonePe, Paytm, and HUL , we handle over 2 million verifications per day. Our platforms —

OnboardIQ

(frictionless onboarding),

OneRisk

(proactive fraud and risk management), and

Privy

(data governance / DPDPA compliance) — form one seamless solution enabling trust.

What You'll Be Doing :

As an AI Lead / Principal Engineer, you will own the end-to-end lifecycle of our cutting-edge AI solutions :

Solve Real-World Problems :

Frame and solve complex, multimodal problems, primarily focused on fighting fraud across various geographies and modes.

Full-Stack Production AI :

Work across the entire AI platform spectrum : data acquisition, model training / fine-tuning, deployment, maintenance, and continuous enhancement.

LLM & GenAI Expertise :

Apply deep, hands-on expertise in

LLMs

(fine-tuning,

RAG

implementations, and model selection) for production use cases.

Performance & Scale :

Own performance tuning and optimization to maintain our high-performance, large-scale AI systems, ensuring reliability and scalability in production.

Innovation & R&D :

Collaborate on R&D to evaluate and integrate cutting-edge technologies, keeping our platform ahead of the curve.

Engineering Excellence :

Design and build robust solutions, including APIs, to expose AI capabilities reliably. Contribute to documentation and mentor team members on best practices.

Must-Haves (Your Profile) :

Experience :

10-15 years of experience driving impactful AI initiatives in production settings.

Domain Expertise :

Proven experience framing and solving complex problems with AI models, specifically in

Computer Vision ,

NLP , and

GenAI , and deploying these at scale.

LLM Production Mastery :

Deep, hands-on experience with LLMs, including expertise in

fine-tuning ,

Retrieval-Augmented Generation (RAG) , and strategic model selection based on use-case requirements. Must have driven

at least two production use cases

in this domain.

Production AI Focus :

6+ years of building and maintaining

large-scale production AI systems , including optimization and tuning for deployment at scale. You understand that model building is only a fraction of the work.

This is your big break to work on systems that define digital trust across Asia.