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Azure AI Developer

Job in Redmond, King County, Washington, 98052, USA
Listing for: Omni Inclusive
Full Time position
Listed on 2026-07-01
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software), Machine Learning/ ML Engineer, Azure
Job Description & How to Apply Below

Azure AI Developer

Need to have a strong background in Azure development, with expertise in C# / Python, Azure Open AI, Agentic workflow, Auto Gen, and Azure. The candidate should also possess a deep understanding of security compliance, API development, and generative AI concepts. Hands-on development experience and strong SQL and Azure SQL database knowledge are essential.

Key Responsibilities:

  • Design, develop, and implement AI solutions (AI Agents, Conversational Bots and other AI services) using C#, Azure Open AI, and other relevant technologies.
  • Develop and maintain and consume APIs, ensuring high performance and responsiveness.
  • Develop various types of Copilots, connectors/plug-ins and implement copilot extensibility.
  • Ensure all AI solutions comply with security standards and best practices.
  • Collaborate with cross-functional teams to integrate AI solutions into existing systems.
  • Model evaluation, ensure the accuracy metrics and RAI principles.
  • Build and Deploy the finetuned model and application using ADO deployment processes.

Required Skills:

  • Proven experience in AI development, Copilot extensibility and custom copilot development with a strong focus on C# and Azure Open AI.
  • Familiarity in developing with Conversable, Assistant and User proxy agents and implement orchestration in multi-agent communication in Auto Gen framework.
  • In-depth knowledge of security compliance and best practices.
  • Strong experience in writing and maintaining high-quality API code.
  • Solid understanding of generative AI concepts and hands-on development.
  • Expertise in SQL and Azure SQL databases.
  • Preferred

    Skills:

    • Python and Statistics
    • Experience with other AI and machine learning algorithms.
    • Knowledge of data science and analytics
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