Agentic AI Engineer
United States
Date Posted:30-Jun-2026
Work Type:Remote
Job Number:490507
Job Description
Job Title: Agentic AI Engineer
Location: Little Rock, Arkansas - Onsite
Duration: 29 Months
Job Summary:
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.
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
Responsibilities:
- 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
Location: Little Rock, Arkansas - Onsite
Duration: 29 Months
Job Summary:
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.
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
Responsibilities:
- 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
Applicant Notices & Disclaimers
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At SPECTRAFORCE, we are committed to maintaining a workplace that ensures fair compensation and wage transparency in adherence with all applicable state and local laws. This position's pay range is $57.14/hr – $58.12/hr.