
Data Driven AI Solutions Developer
3 days ago
Job Overview
We are seeking an experienced AI Engineer to design and develop intelligent solutions using Azure AI Foundry, Semantic Kernel, and Azure OpenAI.
Key Responsibilities:
- Intelligent Agent Development: Design and build intelligent agents using Azure AI Foundry and Semantic Kernel.
- LLM Integration: Integrate Large Language Models (LLMs) with enterprise data using Azure Cognitive Search and vector-based retrieval.
- RAG Pipelines: Build Retrieval-Augmented Generation (RAG) pipelines to answer complex queries from structured/unstructured data.
- Custom Skills 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.
- Backend Orchestration: Use Azure Functions, Logic Apps, or Power Automate for task automation and backend orchestration.
- Solution Deployment: Deploy and secure solutions using Azure App Services, Containers, and Azure AD authentication.
Requirements:
- Azure Expertise: Hands-on experience with Azure OpenAI, Cognitive Search, and Semantic Kernel.
- LM-Based Agents: Good understanding of LLM-based agents, prompt engineering, and tool-use workflows.
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