About the role
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Location: Gurgaon / Noida
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Experience: 0–2 years
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Budget: 25 LPA
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Employment Type: Full-time
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Reports To: Tech Lead
Role Summary
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 problems.
What You Will Do
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Own the evolution of the product's agentic architecture.
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Build intelligence that turns customer operational data into trusted answers, alerts, recommendations, and workflows.
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Work closely with the Supply Chain Data Scientist to make advanced supply chain intelligence accessible through reliable, explainable AI services.
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Build conversational experiences across web and WhatsApp.
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Establish strong practices for AI evaluation, observability, and continuous improvement.
Requirements
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Experience in applied AI/ML engineering, graph/data systems, or backend engineering for AI products.
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Strong Python and experience building APIs, data pipelines, and production services.
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Hands-on experience with LLM applications: RAG/retrieval, embeddings, function/tool calling, structured outputs, agent workflows, and evaluation.
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Strong software-engineering habits: modular code, testing, version control, observability, and documentation.