Senior AI Engineer

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 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, About the Team The Supply Chain team focuses on keeping things moving across all aspects of our business. They make an impact by ensuring our products get from the vendors to the…

• Just now

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) Good to Have Experience with Agentic AI and multi-agent orchestration Experience with LLMOps / MLOps in production environments Cloud Experience 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

• $101,700-173,200 per year