Description:
15+ years in software/solution architecture, proven experience as a Data Scientist or ML Engineer with exposure to agent-based AI systems.Design & Implement Agentic AI systems using agent frameworks (AutoGen, LangGraph, CrewAI, etc.) to build multi-agent and goal-oriented systems.Proficiency in Prompt Engineering, few-shot prompting, chain-of-thought reasoning, and prompt templates.Familiarity with cloud-native AI platforms from AWS, Azure, or Google Cloud Platform (e.g., Bedrock, Azure OpenAI,
Feb 16, 2026;
from:
dice.com