Agentic AI Architect

Description : About the Role :

We are seeking a highly skilled and forward-thinking Agentic AI Architect with expertise in Large Language Models (LLMs), agentic frameworks, and scalable AI architectures. The ideal candidate will have strong experience in designing and deploying intelligent, multi-agent AI systems using tools like LangChain, LangGraph, and LlamaIndex, and integrating them with modern cloud and database technologies.

Key Responsibilities :

• Design and develop intelligent, agent-based AI architectures using frameworks such as LangChain and LangGraph.
• Build Retrieval-Augmented Generation (RAG) systems using LlamaIndex and integrate with LLMs.
• Architect and implement multi-agent workflows to support complex, autonomous AI systems.
• Lead the design, development, and deployment of LLM-powered applications.
• Optimize prompt engineering strategies and fine-tuning workflows for LLM performance and accuracy.
• Integrate AI models with vector databases (e.g., Pinecone, Weaviate, Milvus, ChromaDB) and graph databases (e.g., Amazon Neptune).
• Design and implement cloud-native solutions leveraging AWS services such as Bedrock, Lambda, ECS, AppSync, and core networking / security components (IAM, VPC).
• Develop and manage WebSocket APIs to support real-time, responsive AI applications.

Required Skills & Qualifications :

(ref : hirist.tech)