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.

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

Education

Master Of Comp. Applications,Master Of Technology,Bachelor Of Comp. Applications,Bachelor of Engineering,Bachelor Of Technology