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 :

- 10-12 years of experience in software architecture, with a strong focus on AI and ML-based systems.

- Proficiency in Python and related libraries/tools for AI development.

- Hands-on experience building applications with LangChain and designing multi-agent systems using LangGraph.

- Expertise in LLM concepts, including prompt engineering, fine-tuning, evaluation techniques, and orchestration.

- Experience implementing RAG pipelines using LlamaIndex.

- Hands-on knowledge of vector databases (e.g., Pinecone, Weaviate, Milvus, ChromaDB).

- Strong working knowledge of graph databases, particularly Amazon Neptune.

- Cloud experience with AWS, including services like Bedrock, Lambda, ECS, AppSync, and a sound understanding of IAM and VPC configurations.

- Experience implementing and managing WebSocket APIs for real-time application needs.