Job Description:

- 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:

- 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
- Valuable 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

Preferred Skills: Technology->Open System->Python - Open System->Python,Technology->AI-Responsible AI->Responsible AI,Technology->AI-Agentic AI->Agent Engineering,Technology->Database->SQL tuning,Technology->AI-AI Hyperscalers->Azure Agentic AI Services->Azure NLP

📌 Senior AI Engineer (India)
🏢 Infosys
📍 India