Job Description:
- 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:
- 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
Preferred Skills:
Technology->OpenSystem->Python - OpenSystem->Python,Technology->AI-Agentic AI->Agent Engineering,Technology->AI-AI Hyperscalers->Azure Agentic AI Services->Azure NLP,Technology->Database->SQL tuning