Senior AI Engineer

Job Title: Senior AI EngineerLocation: Charlotte, NC , Hybrid onsite role, 3-4 days in office 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 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) Good to Have: 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) 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 Job Type: Contract Work Location: In person