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Mid-level band with niche Bedrock/agent requirements yields moderate applicant competition.
Specialized Bedrock, LangChain, and agentic AI expertise limits cross-industry transferability.
Mandatory 5 years plus specific Amazon Bedrock and agentic AI hands-on skills increases strictness.
Design and develop AI agents and agentic workflows including super-agent and sub-agent architectures using Python, LangChain, and LangGraph.
Build and deploy production-grade AI solutions leveraging Amazon Bedrock and integrate with REST APIs, databases, and enterprise systems.
Implement reliability features such as error handling, validation, retries, and fallback strategies to ensure robustness of AI-driven workflows.
Approximately 5 years of software development experience.
Strong proficiency in Python programming.
Mandatory hands-on experience with Amazon Bedrock and building Generative AI/LLM applications involving AI agents or agentic workflows.
Experience with LangChain and/or LangGraph, RAG solutions, embeddings, vector databases/search, and REST API development.
Experienced in designing and orchestrating complex multi-step agentic workflows involving super-agent and sub-agent patterns.
Demonstrates deep understanding of prompt engineering, function/tool calling, structured outputs, agent state management, and workflow orchestration in AI contexts.
Familiar with deploying scalable AI services on AWS cloud environments, including Docker and AWS services integration.