Required Skills:
- LangGraph/LangChain
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Python
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LLM Engineering
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RAG Pipelines
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Vector Databases
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API Development
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Cloud Platforms
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CI/CD & Git
We are looking for a skilled AI Engineer to design, build, and deploy intelligent AI agents using Microsoft Copilot Studio, along with the broader Microsoft Power Platform and Azure AI ecosystem. The ideal candidate will have hands-on experience building conversational agents, automating workflows, and integrating AI capabilities into enterprise systems to improve productivity and customer experience. Key Responsibilities • Design, develop, and deploy AI agents/chatbots using Microsoft Copilot Studio. • Build and configure conversational flows, topics, entities, and triggers to handle complex user interactions. • Integrate Copilot Studio agents with Power Automate, Power Apps, Dataverse, and third-party APIs. • Connect AI agents to enterprise data sources such as SharePoint, SQL, Microsoft Graph, and custom APIs for grounded, contextual responses. • Implement Generative AI / LLM-based capabilities such as Azure OpenAI and Copilot connectors within agents for natural language understanding and generation. • Configure authentication, security roles, and Data Loss Prevention (DLP) policies for agents. • Monitor, test, and optimize agent performance using analytics and conversation transcripts. • Collaborate with business stakeholders to gather requirements and translate them into agent workflows. • Write and maintain technical documentation for agent architecture, prompts, and integrations. • Stay current with updates to Copilot Studio, Power Platform, and Microsoft AI tools, and recommend adoption of new features. • Troubleshoot and resolve issues related to agent performance, integrations, and deployment. Required Skills & Qualifications Education • Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent experience. Experience • 2+ years of experience developing AI agents/chatbots, with hands-on expertise in Microsoft Copilot Studio or prior Power Virtual Agents experience. Technical Skills • Strong understanding of conversational AI design principles including topics, entities, intents, and dialog flows. • Experience with Power Automate for workflow automation and backend integrations. • Familiarity with Azure AI services such as Azure OpenAI, Azure Cognitive Services, and Azure Bot Service. • Working knowledge of APIs, JSON, and connectors for integrating external systems. • Understanding of prompt engineering and working with Large Language Models (LLMs). • Experience with Dataverse and Microsoft 365 ecosystem including Teams, SharePoint, and Outlook. • Basic knowledge of authentication protocols such as OAuth and Azure AD / Entra ID. • Strong analytical, problem-solving, and communication skills. Preferred / Nice-to-Have Skills • Exposure to prompt engineering basics and experimenting with LLM outputs such as ChatGPT or Azure OpenAI Playground. • Basic scripting knowledge in Python or JavaScript for simple integrations or data handling. • Familiarity with Power Apps, either canvas or model-driven, for building simple front-end interfaces. • Understanding of REST APIs and how to test them using Postman or similar tools. • Exposure to Microsoft Teams bot deployment or publishing agents to a website/webchat. • Coursework, certifications, or self-learning in AI/ML fundamentals, even without production experience. • Any internship, academic project, or personal project involving chatbots or automation tools. • Exposure to agentic AI development using LangChain and LangGraph for building multi-step, tool-using AI agents. Suggested additions: The following items can be included if the role is intended to support enterprise-grade AI agent development, platform integration, and governance use cases. • Knowledge of Microsoft Copilot Studio Autonomous Agents. • Experience with Microsoft Graph API and Graph Connectors. • Experience with Retrieval Augmented Generation (RAG) architectures. • Familiarity with Azure AI Foundry and Azure AI Search. • Experience integrating enterprise platforms such as Jira, GitHub, ServiceNow, SonarQube, JFrog, SAP, and SharePoint. • Knowledge of Agent-to-Agent (A2A) and Model Context Protocol (MCP). • Understanding of AI governance, security, responsible AI, and enterprise compliance. • Hands-on experience with multi-agent orchestration frameworks. • Experience with telemetry, observability, and usage analytics for AI agents.
