ob Title: Senior AI Engineer – Onshore Experience: 12+ Years in AI / ML .

Location: Onshore - Charlotte, NC (Candidate can relocate after getting the job) Role Overview Looking for a senior AI Engineer, 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 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 12+ years of experience in AI / ML Very strong proficiency in Python Proven expertise in NLP , including: Text classification Clustering Robust experience in data analysis using SQL Hands-on experience with LLMs: Prompt engineering Evaluation frameworks Retrieval-Augmented Generation (RAG) Positive to Have Experience with Agentic AI and multi-agent orchestration Experience with LLMOps / MLOps in production environments Cloud Experience Libraries & Tools Python / ML: Num

Py, Pandas, Scikit-learn, XGBoost NLP: spa

Cy, 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, SQLAlchemy Vector Databases: FAISS, Pinecone, Weaviate, Qdrant LLMOps / MLOps (Good to Have): MLflow, Weights & Biases, BentoML, Airflow

📌 Senior AI Engineer-IVR (Greater Toronto Area)
🏢 Info Way Solutions
📍 Greater Toronto Area