AI Engineer

AI Engineer

9+ years of experience in AI / ML • Very strong proficiency in Python • Proven expertise in NLP, including: o Text classification o Clustering • Strong experience in data analysis using SQL • Hands-on experience with LLMs: o Prompt engineering o Evaluation frameworks o 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 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