Sr. AI Engineer; IVR/Conversational AI
Job in
Charlotte, Mecklenburg County, North Carolina, 28245, USA
Listed on 2026-02-13
Listing for:
Jobs via Dice
Part Time
position Listed on 2026-02-13
Job specializations:
-
IT/Tech
AI Engineer, Machine Learning/ ML Engineer, Data Scientist, Data Analyst
Job Description & How to Apply Below
Dice is the leading career destination for tech experts at every stage of their careers. Our client, Tandym Tech, is seeking the following. Apply via Dice today!
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
- 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)
- 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:
Num Py, Pandas, Scikit‑learn, XGBoost - NLP: spaCy, Hugging Face Transformers, NLTK, Sentence‑Transformers
- LLM Frameworks:
Lang Chain, Llama Index, OpenAI SDK - Agentic AI:
Lang Graph, Auto Gen, CrewAI - Data & SQL:
Oracle, MySQL, SQL Alchemy - Vector Databases: FAISS, Pinecone, Weaviate, Qdrant
- LLMOps / MLOps (Good to Have): MLflow, Weights & Biases, Bento
ML, Airflow
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