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# AI Engineer with .Net/C#

- **Company:** VDart, Inc.
- **Location:** Bellevue, WA, United States (Remote available)
- **Experience:** Expert
- **Salary:** $60,000.0 - $85,000.0
- **Contract:** Permanent contract
- **Skills:** .NET Framework, Artificial Intelligence, Microsoft Azure, C Sharp (Programming Language), Cloud Engineering, Encodings, Distributed Systems, Azure Machine Learning, Search Technologies, Software Engineering, Systems Integration, Data Logging, .NET Core, Microsoft Power Automate, Multi-Agent Systems, Prompt Engineering, Generative AI, AI Platforms, Low Latency, Virtual Agents, Restful APIs, Microservices
- **Published:** July 4, 2026
- **Apply:** https://www.careerjet.com/jobad/us47239649a224434d134028ded6e7dfe5

## About the Role

Core Engineering Skills (Mandatory)

 * Strong expertise in .NET / C# (microservices architecture)
 * Experience building and consuming REST APIs
 * Strong understanding of cloud-native architecture (Azure)

AI & Azure Expertise (Mandatory)

 * Hands-on experience with:
 * Azure OpenAI (prompt engineering, optimization)
 * Azure AI Search (vector + hybrid search)
 * Azure ML (model lifecycle basics)
 * Practical implementation of:
 * RAG pipelines
 * Embedding strategies
 * Retrieval optimization

Copilot & Agentic AI

 * Experience with Copilot Studio:
 * Conversational agents
 * Workflow automation
 * Exposure to Azure AI Foundry:
 * Agent orchestration
 * Multi-agent architecture (preferred for lead/architect

## Description

As an AI Engineer, you will bridge cutting-edge AI capabilities with robust enterprise-grade systems. You will design, build, and scale AI-powered solutions using Azure AI services, Azure AI Foundry, and Copilot Studio, integrating them seamlessly into enterprise-grade .NET microservices architectures.
Role Specifications:
AI & Solution Engineering

 * Design and implement AI-driven systems using:
 * Azure OpenAI, Azure AI Search, Azure ML
 * Azure AI Foundry (agent orchestration, lifecycle)
 * Microsoft Copilot Studio (enterprise copilots & workflows)
 * Build Retrieval-Augmented Generation (RAG) pipelines:
 * Chunking strategies (semantic, recursive, hybrid)
 * Embedding and vector search optimization
 * Develop multi-agent and conversational AI systems

Application Development (.NET Focus)

 * Build and maintain scalable .NET Core microservices
 * Develop REST APIs integrating AI services into enterprise platforms
 * Ensure high performance, security, and resilience in distributed systems

AI Operations & Optimization

 * Deploy and monitor AI systems in production

Optimize:

 * Token usage
 * Latency and throughput
 * Cost efficiency
 * Implement observability (logging, telemetry, feedback loops)
 * Manage model lifecycle (evaluation, retraining, tuning), Role Overview As a .NET Engineer, you will play a crucial role in shaping the future of AI systems by leveraging your expertise in .NET and C#. Your contributions will directly i…
 + 15 days ago


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