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Agentic AI Engineer - Nashville, TN, Kansas City, KS, Denver, CO, Phoenix, AZ, St. Louis, MO.

TechniPros, LLCNashville, TN🇺🇸United StatesPosted Oct 26, 2026

Why this role stands out

This hybrid role offers a unique opportunity to innovate with cutting-edge AI agent frameworks and contribute to impactful projects within a reputable tech company. You'll thrive here if you have strong software engineering skills, hands-on LLM experience, and a passion for building scalable, production-grade AI systems. Apply today to advance your career in the exciting field of agentic AI!

Quick overview

SeniorityMid Senior
Work modeHybrid
LocationNashville, TN, United States
Posted17 hours ago
DockerMicroservicesJavaLLMPhoenixPythonGenerative AIRESTAzureKubernetesMachine LearningPrompt EngineeringCI/CDLangChainRAG

Job description

Job Title: Agentic AI Engineer
Location: Nashville, TN, Kansas City, KS, Denver, CO, Phoenix, AZ, St. Louis, MO.
Contact: 12+ Months
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:

·      8+ 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:

Tanuja P
Phone:
Email:

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