AI Engineer Location Experience Employment type Reports to Gurgaon / Noida 0-3 years Full-time **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

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 LLM applications: RAG/retrieval, embeddings, function/tool calling, structured

outputs, agent workflows and evaluation.

Strong software-engineering habits: modular code, testing, version control, observability and documentation.
Comfortable working with ambiguous problems and turning them into reliable, testable AI systems
Experience with graph databases, LangGraph or equivalent agent orchestration frameworks, conversational

systems, AI observability or supply-chain/enterprise workflows is a plus. **Why join us ** We have spent 30 years managing supply chains across cold chain, beverages, packaged food & manufacturing for Fortune 500 clients such as ITC, Nestle, Coca Cola, Dupont and many others, as well as hundreds of SMEs in India. Our expertise lies in solving supply chain problems and applying best practices using technology and operations. With decades of operational experience, our industry first model will give you the opportunity to:

Build AI that operates on real business data and produces decisions users can trust
Shape the agentic and conversational experience of an operational intelligence product from its first production

release. • Work alongside supply-chain experts and data scientists on problems with direct customer and cash-flow impact. Key Skills: Python, API development, data pipelines, LLM applications, RAG, embeddings, function calling, agent workflows, AI evaluation, graph databases, LangGraph, conversational systems, AI observability

AI Engineer

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