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# Azure DevOps Engineer

- **Company:** OpenKyber LLC
- **Location:** Atlanta, GA, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Software Applications, Microsoft Azure, Software as a Service, Cloud Computing, Cloud Engineering, Computer Programming, Databases, DevOps, Python (Programming Language), OpenAI, Software Engineering, Enterprise Software Applications, LangChain, Large Language Models, Multi-Agent Systems, Prompt Engineering, Generative AI, Agentic-AI, Containerization, Kubernetes, AutoGen, Virtual Agents, Restful APIs, Semantic Kernel, Docker, Microservices
- **Published:** October 16, 2026
- **Apply:** https://www.careerjet.com/jobad/use80b66dfa99741b0c1ae7dce5a6c5b9c

## About the Role

* 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, contact:hirings@openkyber.com

## 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., * 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.