- 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 strong 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.
- Strong Python and experience building APIs, data pipelines and production services.
- Hands-on experience with

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