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AI Engineer with .NetC#

VDart Inc


Job Location:

Bellevue, WA - USA

Monthly Salary: Not provided by the employer
Posted: 27 June 2026 (30+ days ago)
Application Deadline: 24 September 2026
Vacancies: 1 Vacancy

Job Summary

Role: AI Engineer /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 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