Agentic AI Engineer - Durham, NC, Orlando, FL, Columbia, SC, Atlanta, GA, Charlotte, NC, Tampa, FL, Raleigh, NC.
Why This Role Stands Out
This hybrid role offers a fantastic opportunity to lead cutting-edge AI agent development using Azure AI Foundry and AWS Bedrock, significantly impacting enterprise-level automation. You'll thrive here if you're a mid-senior engineer passionate about building scalable AI applications and collaborating within an Agile framework. Apply today to shape the future of AI solutions!
Quick Overview
Job Description
Job Title: Agentic AI Engineer
Location: Durham, NC, Orlando, FL, Columbia, SC, Atlanta, GA, Charlotte, NC, Tampa, FL, Raleigh, NC.
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
Best Regards:
Lucy Rose
Phone: +1-
Email:
Similar jobs
- CO
Staff AI Engineer
NewCapital One
Mc Lean, Virginia🇺🇸$269.1k - $307.2k/yrHybrid7 minutes agoScalaAWSMachine Learning+9Technology - CO
Staff AI Engineer (Remote Eligible)
NewCapital One
New York🇺🇸$244.7k - $279.2k/yrRemote7 minutes agoScalaAWSMachine Learning+11Technology - IT
AI Business Lead
NewISite Technologies Inc
Baltimore, MD🇺🇸Hybrid19 hours agoTableauAgileBusiness Analysis+4 - VT
Enterprise GenAI Architect
NewVirtual Tech Gurus Inc
United States🇺🇸Hybrid19 hours agoDockerMicroservicesAWS+7Technology - TE
GenAI Engineer - Orlando, FL, Columbia, SC, Atlanta, GA, Charlotte, NC, Tampa, FL, Raleigh, NC, Durham, NC
NewTechniPros, LLC
Orlando, FL🇺🇸Hybrid19 hours agoMicroservicesAWSScrum+4Technology - AP
Azure AI Engineer
NewApptad Inc
United States🇺🇸Hybrid19 hours agoMicroservicesAzureGenerative AI+4Technology