AI Engineer

• 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:

• 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

Technical Requirements:

• 1 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

Preferred Skills:

Technology->OpenSystem->Python - OpenSystem->Python,Technology->AI-Agentic AI->Agent Engineering,Technology->AI-Traditional AI->NLP-Text Analytics