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Agentic AI Engineer (Azure AI | LangChain | AutoGen | Python)

ICONMA, LLC

Little Rock, AR

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JOB DETAILS
SALARY
$57.14–$71.43 Per Hour
SKILLS
Accounts Receivable, Application Programming Interface (API), Artificial Intelligence (AI), Cloud Computing, Continuous Deployment/Delivery, Continuous Integration, DevOps, Ecosystems, Engineering, Health Plan, Information Technology Consulting, Kernel Programming, Memory Hardware, Memory Management, Microsoft Windows Azure, Programming Languages, Python Programming/Scripting Language, Scalable System Development, Software as a Service (SaaS), Telemetry
LOCATION
Little Rock, AR
POSTED
2 days ago
Our Client, an IT Services and Consultant company, is looking for a Agentic AI Engineer (Azure AI | LangChain | AutoGen | Python) for their Little Rock, AR location.
 
Responsibilities:
  • Serve as a Agentic AI Engineer with responsibility for designing and implementing scalable geospatial solutions using Python, API integrations, and Azure based AI services in a hybrid work model, leveraging Langchain and Autogen frameworks to build intelligent mapping workflows that improve spatial insights, operational decisions, and positive societal outcomes across diverse industries.
  • Agentic Orchestration Design and build autonomous agents capable of reasoning planning and executing tasks with minimal human intervention
  • Tool API Integration Connect AI models to enterprise systems databases and SaaS applications so agents can perform real world actions
  • Memory Context Management Implement state graphs vector stores RAG and long term memory systems to maintain continuity in workflows
  • Monitoring Governance Establish observability and logging for agent telemetry drift detection signals and audit controls
  • Agentic Frameworks Proficiency in frameworks like AutoGen LangChain or Semantic Kernel or equivalent to manage agent interactions and workflows
  • Programming Languages Strong hands on development skills primarily in Python along with API design and integration
  • Data RAG Engineering Ability to connect agents to data using vector databases Delta Lake and Retrieval Augmented Generation
  • ML Ops DevOps Experience operating production grade AI solutions including prompt updates CICD pipelines and infrastructure as code
 
Requirements:
  • Technical Skills: Cloud Azure Services Deep knowledge of Azure AI Foundry Azure OpenAI and serverless functions Azure Functions to build scalable agent ecosystems
  • Experience: 8 to 12 Yrs
 
Why Should You Apply?

About the Company

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ICONMA, LLC