Design, implement, and maintain agentic AI systems, including: Goal-oriented and task-driven agents Tool-using and decision-making agents Multi-step reasoning and workflow orchestration Build agent frameworks that coordinate: Azure AI Search (semantic + vector retrieval) LLMs for reasoning, planning, and summarization Internal APIs, databases, and enterprise tools Implement retrieval-augmented generation (RAG) patterns that support agent autonomy and accuracy Define guardrails for agent behavior, including: Error handling and fallback strategies Observability, logging, and evaluation Security and data access boundaries <br> Develop full-stack applications using .NET, Blazor, HTML/CSS, and modern web standards Build backend services and APIs backed by SQL-based data stores Integrate AI-driven features into user-facing experiences with a focus on: Performance Reliability Explainability Implement scalable service architectures suitable for AI-enhanced workloads <br> Implement intelligent search and retrieval solutions using Azure AI Search, including: Semantic search Vector indexing and similarity search Hybrid retrieval strategies Use Semantic Kernel or similar orchestration frameworks to: Manage prompts, memory, and tools Coordinate agent behavior Enable extensible AI workflows Collaborate with AI engineers and architects on model selection, evaluation, and optimization

6+ years of detail oriented software development experience Strong expertise in C#/.NET and modern application architecture Proven experience building agentic AI systems or autonomous AI workflows in production Hands-on experience with LLM orchestration frameworks (Semantic Kernel, LangChain, or equivalent) Solid experience with SQL and data modeling Experience integrating AI services into enterprise applications Strong understanding of cloud-native development, preferably on Microsoft Azure

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