AI Engineer

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

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