Required Expertise Experience building AI-powered applications using LLMs (e.g., Azure OpenAI, GPT-based systems) Experience designing agentic workflows (intent classification, multi-step actions, tool orchestration) Strong understanding of prompt design, response structuring, and context management Experience integrating AI systems with enterprise APIs (CRM, ERP, or similar systems) Experience working with Microsoft Graph API for contextual enrichment (calendar, email, contacts) Understanding of role-based access control and safe execution of AI-driven actions Strongly Preferred: Experience with Microsoft Copilot Studio or similar agent frameworks Experience with MCP (Model Context Protocol) or tool-based agent architectures Experience implementing human-in-the-loop approval patterns Familiarity with multi-channel AI integration (Outlook, Teams, chat interfaces) Experience handling AI response validation, fallback logic, and error handling Experience wiring agent intent classification and MCP tool-calling into backend write-back action endpoints. Experience implementing human-in-the-loop confirmation patterns for agent-initiated data modification actions where the agent pre-fills but never auto-submits. Experience with dynamic MCP tool schema generation from admin configuration rather than hardcoded tool definitions. Experience handling entity resolution ambiguity gracefully within an agent conversational flow.
Pay: ₹1,200,000.00 - ₹3,000,000.00 per year
Work Location: Hybrid remote in Bengaluru, Karnataka (Bengaluru, Bengaluru Urban District)
