AI Agent Developer – LangGraph, AWS Bedrock & Agentic AI

We are looking for an experienced *AI Agent Developer* to design, develop, and deploy custom AI agents and intelligent workflows that solve real-world business problems. ### Required Skills - Strong experience with *Python, LangChain, and LangGraph* for building AI agents and orchestrating multi-step workflows. - Hands-on experience with *AWS Bedrock*, including Claude models and other LLM integrations. - Strong understanding of *Agentic AI, LLMs, tool calling, and multi-agent architectures*. - Experience with *RAG pipelines, vector databases, embeddings, and knowledge-base integrations*. - Experience with AWS services for deploying, integrating, and scaling AI applications. - Ability to integrate third-party APIs, databases, and existing business systems. - Experience building AI workflow builders or visual workflow automation platforms is a strong plus. ### What You'll Do - Design and implement custom AI agents and agentic workflows. - Build reliable AI pipelines using LangGraph, LangChain, and AWS Bedrock. - Integrate Claude models, external APIs, databases, and enterprise systems. - Develop workflow automation solutions based on business requirements. - Optimize agent performance, reliability, cost, and scalability. - Recommend appropriate architectures and technologies for each use case. ### To Apply Please share: 1. Your relevant experience with LangGraph, LangChain, AWS Bedrock, and Claude models. 2. Examples of AI agents or workflow automation projects you have built. 3. Your preferred technical approach for building reliable, production-ready AI agents. 4. Your estimated timeline and budget for an initial engagement. *We are looking for a developer who can understand business requirements, recommend practical solutions, and deliver production-ready AI systems—not just prototypes.*