AI Engineer
Location: Gurgaon
Experience Range: 0–2 Years
Employment Type: Full time
Reports to: Tech Lead

Role Summary

"Advanced supply chain capability live in weeks, at a fraction of enterprise cost to serve".

We are building the Supply Chain Operating System for India's manufacturers and distributors that run their operations on homegrown ERPs but lack real-time visibility into inventory health, order flow, or logistics performance. Our system sits on top of existing ERPs and WMSs, creates a unified operational data model, and turns inventory data into better decisions through an intelligent pooling of AI agents and deterministic models. The result is a single, always-on system that gives supply chain teams enterprise-grade intelligence, without an enterprise-grade IT lift.

As an AI Engineer, you will build the intelligence and conversational layer of the product: trusted answers, alerts, recommendations and workflows grounded in each customer's operational data. You will combine deterministic logic,



statistical models and LLMs deliberately to solve customer's problems.

What You Will Do
Own the evolution of the product's agentic architecture.
Build the intelligence that turns customer operational data into trusted answers, alerts, recommendations and workflows.
Work closely with the Supply Chain Data Scientist to make advanced supply chain intelligence accessible through reliable, explainable AI services.
Build conversational experiences across web and WhatsApp.
Establish robust practices for AI evaluation, observability and continuous improvement.
Work across the product and engineering team to determine where deterministic logic, statistical models and generative AI provide the best solution to a problem.

Requirements & Qualifications
Experience in applied AI/ML engineering, graph/data systems or backend engineering for AI products.
Robust Python and experience building APIs, data pipelines and production services.

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