Description

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

Requirements:

• 7-8years of experience in AI / ML

• 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 Skills

Education

Any Gradute