Lead - IVR & "Conversational AI"

  • Charlotte, NC
  • Posted 2 days ago | Updated 2 days ago

Overview

On Site
Depends on Experience
Accepts corp to corp applications
Contract - W2
Contract - 12 Month(s)

Skills

KoreAI
LLM
IVR
Chatbot
Conversational AI
NLU
Natural Language Understanding
AI development

Job Details

Role: Lead - IVR & "Conversational AI" Chatbot
Location: Charlotte, NC
Work Mode: Onsite (5 days/week work from onsite)
Hire Mode: Contract
Experience: 10+ Years

Job Description:
Overall experience above 8 years and At least 5+ years relevant technical work experience, in developing and implementing Conversational AI.
Experience with Conversational AI projects and KoreAI, Intent identification and LLM development.
Strong expertise in developing conversational AI applications (chatbots, IVR systems, virtual assistants).
Proficiency in integrating AI solutions with RESTful APIs and external services.
Knowledge of web services, data retrieval, and integrations.
Hands-on experience with conversational AI platforms, frameworks, and tools.
Collaborate with cross-functional teams to design, develop, and deploy conversational AI applications using Kore AI, across IVR, chat, and voice platforms.
Build and refine chatbots, virtual assistants, and IVR systems that provide intuitive and effective user interactions.
Work with Generative AI models and fine-tune LLM-based conversations for high-quality, context-aware interactions.
Develop and optimize natural language understanding (NLU) and processing (NLP) models to improve accuracy and user intent identification.
Integrate conversational AI solutions with external systems, web services, APIs, and databases.
Knowledge of machine learning algorithms and techniques.
Implementation of best practices and coding standards in conversational AI development, ensuring scalability and maintainability.
Stay updated with the latest trends in Conversational AI and Generative AI technologies, contributing to continuous improvement.
Knowledge in testing, debugging, and performance optimization of conversational AI applications.

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