1. 5+ years of production full-stack engineering experience on:
2. Next.js Build performant, server rendered React applications with modern App Router patterns
3. Node.js Develop and maintain scalable backend services, REST and streaming APIs 6 months to 1 year of experience in AWS AI Engineering stack:
4. AWS Bedrock — LLM Deployment & Management: Configure and manage foundation models through Bedrock, including model fine-tuning, prompt engineering, guardrails, and inference parameter optimization. Experience with Bedrock runtime APIs and streaming responses.
5. AWS Agent Core — Agentic System Development: Design, build, and deploy autonomous agents using AWS Agent Core. Implement tool use, memory management, multi-agent orchestration, and human-in-the-loop workflows. Ability to debug and monitor agent execution traces.
6. MCP Server — Model Context Protocol: Build and maintain MCP servers to expose tools, resources, and context to AI models. Implement secure, well-typed MCP interfaces and integrate them with agent runtimes and external data sources.
7. AWS CI/CD — Brazil Pipeline: Familiarity with Amazon's internal Brazil build system and associated CI/CD infrastructure. Ability to configure build environments, manage package dependencies, and integrate automated testing and deployment gates within the Brazil pipeline ecosystem.
8. Kiro — AI-Powered Developer Tooling: Experience with Kiro or equivalent AI-assisted development environments. Ability to leverage AI tooling to accelerate code generation, code review, testing, and documentation workflows

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