Design and develop Agentic AI and Multi-Agent Systems for enterprise use cases.
Build AI applications using LLMs, RAG (Retrieval-Augmented Generation), LangChain, LangGraph, MCP, and prompt engineering techniques.
Develop and deploy scalable AI solutions on AWS Cloud.
Must-have skills
AWS
Job description
Total experience: 4 years
Detailed JD: We are seeking a skilled AWS Agentic AI Engineer with software development experience and hands-on expertise in Generative AI, Agentic AI, Multi-Agent Systems, and AWS Cloud Services. The ideal candidate should have experience designing, developing, and deploying AI-powered solutions using modern LLM frameworks and cloud-native architectures. Key Responsibilities Design and develop Agentic AI and Multi-Agent Systems for enterprise use cases. Build AI applications using LLMs, RAG (Retrieval-Augmented Generation), LangChain, LangGraph, MCP, and prompt engineering techniques. Develop and deploy scalable AI solutions on AWS Cloud. Integrate AI agents with enterprise APIs, databases, and business applications. Implement vector databases, embeddings, semantic search, and knowledge retrieval frameworks. Optimize AI applications for performance, security, observability, and cost efficiency. Collaborate with business stakeholders, architects, and product teams to deliver AI-driven solutions. Follow MLOps and DevOps best practices for AI model deployment and monitoring.
