Lead AI Engineer
Kforce has a client in Charlotte, NC that is seeking a Lead AI Engineer to lead IVR and Conversational AI initiatives, designing scalable LLM and NLP solutions for high-volume customer interactions. This role will drive architecture, best practices, and innovation across voice AI systems. 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 best practices, including monitoring, evaluation, and lifecycle management
- Partner with IVR platform, speech engineering, and product teams
- Mentor offshore and junior AI engineers
- 12+ 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 (ASR, NLU, TTS)
* AWS/GCP
Libraries & Tools:- Python/ML: NumPy, Pandas, Scikit-learn, XGBoost
- NLP: spaCy, Hugging Face Transformers, NLTK, Sentence-Transformers
- LLM Frameworks: LangChain, LlamaIndex, OpenAI SDK
- Agentic AI (Good to Have): LangGraph, AutoGen, CrewAI
- Data & SQL: Oracle, MySQL, SQLAlchemy
- Vector Databases: FAISS, Pinecone, Weaviate, Qdrant
- LLMOps/MLOps (Good to Have): MLflow, Weights & Biases, BentoML, Airflow
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