Sr. AI Engineer (IVR / Conversational AI)

Charlotte, NC, US • Posted 22 days ago • Updated 2 minutes ago
Contract W2
On-site
$68 - $68 per hour
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Sr. AI Engineer (IVR / Conversational AI)

Summary




Our client, a leader in telecommunication technologies, is looking for a senior AI Engineer to lead IVR and Conversational AI initiatives and design scalable LLM and NLP solutions for high-volume customer interactions.


This role requires onsite presence 3 days per week in Charlotte, NC. Qualified candidates must be able work without need for sponsorship.


Key Responsibilities



  • Architect and develop AI-driven IVR and conversational systems using Python

  • Build NLP models for text classification and clustering to support intent detection and call routing

  • Perform data analysis using SQL on large-scale IVR and interaction datasets

  • Design and deploy LLM workflows (prompt engineering, RAG, evaluation) for voice and chat use cases

  • Lead development of agentic AI workflows for multi-step customer interactions

  • Establish LLMOps (Large Language Model Operations) best practices, including monitoring, evaluation, and lifecycle management

  • Partner with IVR platform, speech engineering, and product teams

  • Mentor offshore and junior AI engineers


Required Skills & Experience



  • 5+ years of experience in AI / ML

  • Very strong proficiency in Python

  • Proven expertise in NLP, including:

  • Text classification

  • Clustering

  • Strong experience in data analysis using SQL

  • Hands-on experience with LLMs:

  • Prompt engineering

  • Evaluation frameworks

  • Retrieval-Augmented Generation (RAG)


Nice to Have:



  • Experience with Agentic AI and multi-agent orchestration

  • Experience with LLMOps / MLOps in production environments

  • Familiarity with IVR platforms and speech technologies such as ASR (Automatic Speech Recognition), NLU (Natural Language Understanding), and TTS (Text-to-Speech)

  • Python / ML: NumPy, Pandas, Scikit-learn, XGBoost

  • NLP: spaCy, Hugging Face Transformers, NLTK, Sentence-Transformers

  • LLM Frameworks: LangChain, LlamaIndex, OpenAI SDK

  • Agentic AI: LangGraph, AutoGen, CrewAI

  • Data & SQL: Oracle, MySQL, SQLAlchemy

  • Vector Databases: FAISS, Pinecone, Weaviate, Qdrant

  • LLMOps / MLOps (Good to Have): MLflow, Weights & Biases, BentoML, Airflow


Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: EXECUSCH
  • Position Id: CR509206-412
  • Posted 22 days ago
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