Agentic AI Engineer

Conch Technologies•Chicago, TN
•Onsite

About The Position

The Agentic AI Engineer will design, build, and deploy intelligent AI agents using Azure AI Foundry. The role focuses on developing scalable, production-grade multi-agent solutions that automate business processes and accelerate enterprise AI adoption. The engineer will contribute across the full lifecycle, including solution design, model integration, deployment, orchestration, and optimization of AI agents in cloud-native environments. The position is located in Chicago, Illinois, with five days per week working in the office, and is offered as a contract lasting 12 or more months.

Requirements

  • At least 5 years of software engineering experience with strong cloud-native development experience.
  • Hands-on experience with Azure AI Foundry or Azure OpenAI.
  • Hands-on experience with AI agent frameworks such as AutoGen, Semantic Kernel, LangChain, or agent SDKs.
  • Strong programming expertise in Python (preferred) or Java.
  • Experience building REST APIs, microservices, and event-driven architectures.
  • Familiarity with LLMs, prompt engineering, and RAG architectures.
  • Experience with multi-agent orchestration and workflow design.
  • Experience with Azure cloud services such as Functions, Storage, DevOps, and Service Bus, or equivalent AWS services.
  • Knowledge of CI/CD, DevOps, and containerization technologies such as Docker or Kubernetes.
  • Experience integrating enterprise systems, including APIs, databases, and SaaS platforms.

Responsibilities

  • Design, build, and deploy intelligent AI agents leveraging Azure AI Foundry.
  • Develop scalable, production-grade multi-agent solutions to automate business processes and support enterprise AI adoption.
  • Work across the AI agent lifecycle, including solution design, model integration, deployment, orchestration, and optimization.
  • Build REST APIs, microservices, and event-driven architectures.
  • Integrate enterprise systems, including APIs, databases, and SaaS platforms.
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