Overview 
A highly skilled ML/AI Engineer or Data Scientist specializing in agentic AI possesses deep expertise in architecting and developing end‑to‑end intelligent solutions using AI agents, multi‑agent workflows, and modern agentic platforms.


Core Technical Skills

Agentic AI & LLMs: Proficient in large language models (LLMs), retrieval‑augmented generation (RAG), vector databases, and orchestration frameworks to design autonomous, context‑aware systems that reason, plan, and act. Skilled in prompt engineering, model fine‑tuning, and integrating emerging AI capabilities — such as tools, function calling, memory, and real‑time inference — into robust, production‑grade architectures that drive automation and intelligent workflow optimization.

Traditional ML: Solid foundation in classical machine learning algorithms including regression, classification, clustering, and ensemble methods (, Random Forest, XGBoost). Able to select, train,...