Senior AI Engineer

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Senior AI Engineer

Charlotte, NC (Hybrid onsite, 3-4 days in office)

Contract

• 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

• 5+ years of experience in AI / ML
• Very strong proficiency in Python
• Proven expertise in NLP, including text classification and 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)

• 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 (Good to Have):
  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