Vacancy description
Aptita Consultancy
Chennai, भारत
About the Role :We are seeking an experienced Microsoft Copilot Studio Developer to join our https://jobeax.com/link/wXoDAFfjDJvWnGN7 this role, you will design, develop, and deploy enterprise-grade conversational AI solutions, AI agents, and automation https://jobeax.com/link/INsJOvbWZUnhOf7E will leverage Microsoft Copilot Studio, the Power Platform, and Azure AI services to build intelligent multi-turn chatbot experiences and automated enterprise https://jobeax.com/link/XnflZD2dGSZYgXFG Responsibilities :AI Agent & Chatbot Development :- Design, build, and deploy end-to-end AI agents and conversational chatbots using Microsoft Copilot Studio.- Structure multi-turn dialogue flows, topics, intents, and triggers to deliver natural, effective conversational experiences.- Implement prompt engineering and precise instruction design to ensure accurate, context-aware AI agent responses.- Create reusable components, design templates, and skills to streamline delivery across https://jobeax.com/link/rEA2GCRnRKPrLeeL & Automation :- Integrate conversational agents with backend systems, APIs, and custom connectors using Power Automate.- Build supporting applications and data models using Power Apps and Dataverse.- Incorporate knowledge grounding and RAG-based architectures for rich data https://jobeax.com/link/EwsE9WwG4B5DE1io Requirements :Experience :- 4 - 10 years of overall experience in software development and conversational https://jobeax.com/link/Zz1m0FZ4p11SoLMY Period :- Immediate to 30 days https://jobeax.com/link/8fJicMQ1Dvtm2cWv Expertise :- Hands-on experience developing solutions with Microsoft Copilot Studio (formerly Power Virtual Agents).Technical Proficiency :- Strong mastery of Conversational AI concepts, prompt engineering, and agent instruction design.- Hands-on expertise in the Microsoft Power Platform (Power Apps, Power Automate, Dataverse).- Demonstrated ability in API integrations and developing custom connectors.- Exposure to Azure AI Services / Azure OpenAI and RAG-based (Retrieval-Augmented Generation) knowledge grounding techniques. (ref:hirist.tech)