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Role Overview

Hands-on Architect responsible for designing and building scalable Agentic AI systems leveraging Python backends, Generative AI, and multi-agent orchestration frameworks.

Key Responsibilities

Design Agentic AI architectures (Planner, Supervisor, multi-agent workflows)
Build RAG systems with vector DB and semantic search
Develop Python backend APIs (FastAPI/Flask)
Implement LLM pipelines and prompt engineering strategies
Integrate agents with enterprise systems (APIs, DBs, tools)
Optimize performance (latency, cost, accuracy)
Drive best practices: code reviews, desig

AI Architect – Agentic AI / GenAI