Our client, an IT Services and Consultant company, is looking for an Agentic AI Engineer (Azure AI | LangChain | AutoGen | Python) for their Little Rock, AR location.
Responsibilities:
Serve as an 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?
Health Benefits
Referral Program
Excellent growth and advancement opportunities