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AI Engineer​/C#

Job in Bellevue, King County, Washington, 98009, USA
Listing for: VDart Inc
Full Time position
Listed on 2026-07-04
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Azure, Cloud Engineer - Software, Backend Developer
Salary/Wage Range or Industry Benchmark: 100000 - 130000 USD Yearly USD 100000.00 130000.00 YEAR
Job Description & How to Apply Below
Position: AI Engineer with.Net/C#

Role: AI Engineer with .Net/C#

Location: (Bellevue, WA/ Frisco, TX 100% Onsite)

Primary

Skills:

.NET/C# with Azure AI experience.

Secondary

Skills:

Python

Overview:

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)
Skills:

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)
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