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Azure Devops Engineer

  • Azure Devops Engineer job type Posted on: Oct 12, 2026
  • Azure Devops Engineer experience level Openkyber
  • Azure Devops Engineer employment type Atlanta, Georgia
  • Azure Devops Engineer employment type Onsite
  • Azure Devops Engineer salary Full-time

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Job Title :

Azure Devops Engineer

Job Type :

Full-Time

Job Location :

Atlanta Georgia United States

Remote :

No

Jobcon Logo Job Description :

Job Title: Agentic AI Engineer Location: Philadelphia, PA, Wilmington, DE, Fairfax, VA, Washington, DC, Silver Spring, MD

Looking for W2 candidates. No C2C Job Summary We are seeking a highly skilled Agentic AI Engineer to design, develop, and deploy intelligent AI agents using Azure AI Foundry and modern AI agent frameworks. The ideal candidate will have strong software engineering experience, hands-on expertise in LLM-powered applications, and a proven ability to build scalable, production-grade multi-agent systems in cloud-native environments.

Key Responsibilities:

  • Design, develop, and deploy intelligent AI agents using Azure AI Foundry and Azure OpenAI.
  • Build scalable, production-grade multi-agent systems for enterprise automation.
  • Develop AI-powered applications leveraging Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and prompt engineering techniques.
  • Implement agent orchestration using frameworks such as AutoGen, Semantic Kernel, LangChain, or similar Agent SDKs.
  • Develop RESTful APIs, microservices, and event-driven applications to support AI solutions.
  • Integrate AI agents with enterprise systems, databases, APIs, and SaaS platforms.
  • Deploy and manage AI workloads in cloud-native environments using Azure services.
  • Collaborate with cross-functional teams to design, develop, test, and optimize AI solutions.
  • Implement CI/CD pipelines and DevOps best practices for AI application deployment.
  • Containerize applications using Docker and deploy them on Kubernetes-based environments.
  • Monitor, troubleshoot, and optimize AI agent performance in production.

Required Qualifications:

  • 5+ years of experience in software engineering with strong cloud-native application development experience.
  • Strong programming skills in Python (preferred) or Java.
  • Hands-on experience with Azure AI Foundry and Azure OpenAI.
  • Experience developing AI agents using frameworks such as AutoGen, Semantic Kernel, LangChain, Agent SDKs.

Technical Skills:

  • Programming Languages: Python, Java
  • AI & Machine Learning: Azure AI Foundry, Azure OpenAI, Large Language Models (LLMs), Prompt Engineering, Retrieval-Augmented Generation (RAG), Multi-Agent Systems

For applications and inquiries,

Jobcon Logo Position Details

Posted:

Oct 12, 2026

Reference Number:

90045-38381

Employment:

Full-time

City:

Atlanta

Job Origin:

CIEPAL_ORGANIC_FEED

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Job Title: Agentic AI Engineer Location: Philadelphia, PA, Wilmington, DE, Fairfax, VA, Washington, DC, Silver Spring, MD

Looking for W2 candidates. No C2C Job Summary We are seeking a highly skilled Agentic AI Engineer to design, develop, and deploy intelligent AI agents using Azure AI Foundry and modern AI agent frameworks. The ideal candidate will have strong software engineering experience, hands-on expertise in LLM-powered applications, and a proven ability to build scalable, production-grade multi-agent systems in cloud-native environments.

Key Responsibilities:

  • Design, develop, and deploy intelligent AI agents using Azure AI Foundry and Azure OpenAI.
  • Build scalable, production-grade multi-agent systems for enterprise automation.
  • Develop AI-powered applications leveraging Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and prompt engineering techniques.
  • Implement agent orchestration using frameworks such as AutoGen, Semantic Kernel, LangChain, or similar Agent SDKs.
  • Develop RESTful APIs, microservices, and event-driven applications to support AI solutions.
  • Integrate AI agents with enterprise systems, databases, APIs, and SaaS platforms.
  • Deploy and manage AI workloads in cloud-native environments using Azure services.
  • Collaborate with cross-functional teams to design, develop, test, and optimize AI solutions.
  • Implement CI/CD pipelines and DevOps best practices for AI application deployment.
  • Containerize applications using Docker and deploy them on Kubernetes-based environments.
  • Monitor, troubleshoot, and optimize AI agent performance in production.

Required Qualifications:

  • 5+ years of experience in software engineering with strong cloud-native application development experience.
  • Strong programming skills in Python (preferred) or Java.
  • Hands-on experience with Azure AI Foundry and Azure OpenAI.
  • Experience developing AI agents using frameworks such as AutoGen, Semantic Kernel, LangChain, Agent SDKs.

Technical Skills:

  • Programming Languages: Python, Java
  • AI & Machine Learning: Azure AI Foundry, Azure OpenAI, Large Language Models (LLMs), Prompt Engineering, Retrieval-Augmented Generation (RAG), Multi-Agent Systems

For applications and inquiries,

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