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AI Engineer .Net​/C#

Job in Bellevue, King County, Washington, 98009, USA
Listing for: VDart
Full Time position
Listed on 2026-07-08
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Backend Developer, Azure, Cloud Engineer - Software
Salary/Wage Range or Industry Benchmark: 120000 - 150000 USD Yearly USD 120000.00 150000.00 YEAR
Job Description & How to Apply Below
Position: AI Engineer with .Net/C#

Role
: AI Engineer with .Net/C# ( Copilot & Agentic AI)

Experience
: 7 to 12 years

Location
: (Bellevue, WA/ Frisco, TX) Onsite Role

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 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
  • 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
  • Latency and throughput
  • Cost efficiency
  • Implement observability (logging, telemetry, feedback loops)
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)
  • Hands‑on experience with:
  • Practical implementation of:
  • 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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