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# AI Engineer

- **Company:** Expert Technology Services
- **Location:** Charlotte, NC, United States
- **Contract:** Permanent contract
- **Skills:** LangGraph Framework, Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Amazon S3, Data Analysis, Automation of Tests, Interactive Voice Response, Python (Programming Language), Knowledge Management, TypeScript, Chatbots, Genesys, Large Language Models, Agentic-AI, Production Code, Machine Learning Operations, Model Context Protocol, Splunk, Api Management
- **Published:** October 4, 2026
- **Apply:** https://www.careerjet.com/jobad/usc4988caa8bedcba2635127a8b4a41c49

## About the Role

Production-level experience in TypeScript and Python

 - Deep hands-on experience with LangGraph, GenAI LLMs, and agentic AI architectures
 - Familiarity with AWS Bedrock (required), ECS, Lambda, and S3
 - Strong expertise in API integrations and modern connectivity patterns
 - Hands-on experience or strong familiarity with Genesys voice/chat environments
Observability & Testing Tools:

 - Experience with monitoring and telemetry tools: Honeycomb, Splunk, OpenTelemetry
 - Experience using AI observability platforms like Arize
 - Skilled in prompt testing and hallucination prevention
Nice-to-Have Skills:

 - Familiarity with MCPs (Model Context Protocol) or emerging AI integration patterns
 - Exposure to KMaaS (Knowledge Management as a Service)
 - Experience with future-facing voice or Interactive Voice Response (IVR) technology
Professional & Soft Skills:

 - Strong communicator, able to document architecture and collaborate cross-functionally (UX, Product, Analytics)
 - Comfortable with ambiguity; self-starter who adapts quickly in a shifting AI environment
 - Quality-driven, with a focus on output safety, engineering rigor, and client experience
Other Details:

 - No background check or drug screen required

## Description

Build, enhance, and scale advanced AI agents and conversational chatbots using LangGraph

 - Replace an existing FAQ experience with an advanced chatbot integrated into Genesys
 - Develop clean, production-grade code in TypeScript and Python
 - Integrate AI agents with service-based APIs and workflows (not direct DB manipulation)
 - Design and improve prompts to minimize hallucinations and ensure reliable outputs
 - Expand agent ecosystem by adding new tools, integrations, and operational skills
 - Connect the agent to Genesys and continue integrating new features
 - Implement robust testing and evaluation frameworks for AI outputs and system health
 - Focus on observability using tools like Honeycomb, Splunk, OpenTelemetry, and Arize


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