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Design and configure AI agents for real-world business use cases.
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Develop effective prompts, instructions, personas, and conversation flows.
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Integrate agents with APIs, tools, connectors, CRM, banking, ticketing, messaging, and knowledge systems.
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Identify and handle edge cases, failures, ambiguity, and recovery scenarios.
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Build and execute evaluation and regression test scenarios to improve agent quality.
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Iterate agent behaviourbased on real-world usage, feedback, and performance.
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Work on Conversational Agents or Work Agents.
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Support rapid POC development and customer-facing solution delivery.
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nMust-Have Skills
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2+ years of hands-on LLM / Generative AI / Software Engineering experience
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Solid Prompt Engineering & Instruction Design experience
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Experience building AI Agents / Agentic AI / Conversational AI
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Understanding of tool calling, API integration, and workflows
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Experience with LLM evaluation, testing, and edge-case handling
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Solid problem-solving and analytical skills
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Ability to work on production-oriented AI solutions
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nGood to Have
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Experience with multilingual or conversational AI
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Experience with Indian languages / code-switching
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Experience with workflow automation and scheduled AI tasks
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Experience with RAG, LangChain, LangGraph or similar agent frameworks
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Customer-facing POC or solution delivery experience
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📌 Agent Engineer Bengaluru (India)
🏢 VAYUZ Technologies
📍 India
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