Mid-Level Copilot Engineer

POSITION

Mid-Level Copilot Engineer

• focused on hands-on development, configuration, integrations, and support of Copilot solutions.
• Approximately 3 5 years of software development, cloud, automation, or related engineering experience .
• Hands-on experience with Microsoft Copilot Studio .
• Experience with Microsoft 365 Copilot and the Microsoft 365 ecosystem.
• Experience with Power Automate, Power Apps, Dataverse, or Power Platform .
• Experience integrating systems using REST APIs and JSON .
• Familiarity with Microsoft Graph API .
• Experience working within Azure environments.
• Understanding of Generative AI, LLMs, prompt engineering, and RAG .
• Experience working with enterprise data sources such as SharePoint and Teams.
• Familiarity with Microsoft Entra ID, OAuth, and authentication concepts .
• Development experience with C#, .NET, JavaScript/TypeScript, or Python is preferred.

Preferred Experience Both Roles

• Microsoft certifications related to Copilot, Power Platform, Azure AI, or Microsoft 365 .
• Experience developing custom Copilot connectors, plugins, extensions, or actions .
• Experience deploying Generative AI solutions within large enterprise environments.
• Familiarity with CI/CD and DevOps practices for Microsoft/Azure applications.
• Understanding of AI security, governance, data privacy, and Responsible AI practices.

Key Responsibilities Both Roles

• Design, build, test, and deploy custom Copilot agents using Microsoft Copilot Studio.
• Extend and customize Microsoft 365 Copilot capabilities.
• Develop conversational AI workflows, topics, actions, prompts, and agent logic.
• Integrate Copilot solutions with enterprise applications using REST APIs, Microsoft Graph, connectors, and Power Automate .
• Connect Copilot agents with organizational data sources including SharePoint, Teams, Dataverse, and other enterprise systems .
• Develop workflows and automations using Power Automate and Power Platform .
• Utilize Azure OpenAI and Generative AI technologies to support enterprise use cases.
• Implement RAG (Retrieval-Augmented Generation) and grounding approaches to provide Copilot solutions with relevant enterprise knowledge.
• Troubleshoot Copilot agents, integrations, authentication, permissions, and data-access issues.
• Partner with business and technical teams to identify opportunities for AI and automation.
• Follow enterprise security, governance, data privacy, and Responsible AI standards.