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1 day ago
We are seeking a skilled professional to design and implement intelligent systems using cutting-edge technologies.
This role involves working with large datasets, developing smart copilots, and implementing AI-driven automation for enterprise use cases.
Key Responsibilities:- Intelligent Agent Design: Develop and deploy intelligent agents using Azure AI Foundry and Semantic Kernel.
- Large Language Model Integration: Integrate Large Language Models (LLMs) with enterprise data using Azure Cognitive Search and vector-based retrieval.
- Pipeline Development: Build Retrieval-Augmented Generation (RAG) pipelines to answer complex queries from structured/unstructured data.
- Custom Skill Development: Develop custom skills, plugins, and workflows using Semantic Kernel Planner and Function Calling.
- Data Source Connection: Connect to and query data sources like Azure SQL, Synapse, Cosmos DB, and Data Lake using APIs or SDKs.
- Copilot Embedding: Collaborate with frontend/backend teams to embed copilots in React or .NET-based applications.
- Automation and Orchestration: Use Azure Functions, Logic Apps, or Power Automate for task automation and backend orchestration.
- Deployment and Security: Deploy and secure solutions using Azure App Services, Containers, and Azure AD authentication.
- Experience with Azure OpenAI, Cognitive Search, and Semantic Kernel.
- Understanding of LLM-based agents, prompt engineering, and tool-use workflows.
- Proficiency in Python or .NET Core for backend development.
- Familiarity with REST APIs, data transformation, and cloud pipelines.
- Experience with cloud integration on Azure.
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