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ML/AI Engineer

🕒 September 15

🇮🇳 India – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 AI Engineer

Where this job comes from

Posted on Lingaro's careers page, not through a job board

First seen by Remote Rocketship September 15

Still open on Lingaro's site. Checked 9 hours ago.

Logo of Lingaro

Lingaro

1001 - 5000 employees

Founded 2008

💼 Consulting

📣 Marketing

📦 Logistics

Consulting • Marketing • Logistics

Lingaro is an end-to-end data services and analytics partner for global brands and enterprises, delivering data strategy, platform engineering, AI/ML (including generative AI), and data governance to unlock business value. It combines domain-focused analytics (supply chain, commercial/RGM, digital commerce, sustainability) with data platforms, visualization, MLOps, and secure cloud (Google Cloud) integrations, plus a creative arm (ALCHEMY) for data-driven brand and commerce experience design.

📋 Description

• Develop enterprise AI agents using Microsoft Copilot Studio and Azure AI Foundry • Configure Topics, triggers, variables, routing, fallback handling, Generative Answers, RAG, and knowledge grounding • Integrate AI solutions with Power Automate, SharePoint, Dataverse, Microsoft Teams, Azure AI Search, and Azure OpenAI/Foundry models • Implement citations, metadata-based retrieval, multilingual handling, and prompt/instruction design • Troubleshoot agents • Support Power Platform ALM, Azure services, security, environments, and DEV/UAT/PROD deployments

🎯 Requirements

• Hands-on experience building enterprise AI agents • Strong knowledge of Topics, triggers, variables, routing, fallback handling, Generative Answers, RAG, and knowledge grounding • Comfortable integrating with Power Automate, SharePoint, Dataverse, Microsoft Teams, Azure AI Search, and Azure OpenAI/Foundry models • Experience with citations, metadata-based retrieval, multilingual handling, prompt/instruction design, and troubleshooting agents • Understanding of Power Platform ALM, Azure services, security, environments, and DEV/UAT/PROD deployments would be an advantage

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