Backed by Kleiner Perkins and Madrona.
About the role
Building this experience introduces a new class of engineering challenges. How do you ground an LLM's response in relevant, up-to-date information from a customer's AWS environment while maintaining strong security boundaries and low latency? How do you orchestrate multi-step agentic workflows that can reason, retrieve information, invoke tools, and take actions reliably and safely? How do you evaluate AI systems where quality cannot be measured by traditional software testing alone?
More about this role
Amazon Q is helping redefine how developers and cloud practitioners build, operate, troubleshoot, and optimize on AWS. We are building an intelligent assistant that goes beyond answering questions—combining generative AI with deep AWS context, retrieval, tools, and actions to help customers understand their environments and get work done faster.
Building this experience introduces a new class of engineering challenges. How do you ground an LLM's response in relevant, up-to-date information from a customer's AWS environment while maintaining strong security boundaries and low latency? How do you orchestrate multi-step agentic workflows that can reason, retrieve information, invoke tools, and take actions reliably and safely? How do you evaluate AI systems where quality cannot be measured by traditional software testing alone? These are the kinds of problems you will help solve.
We are looking for a Senior Software Development Engineer to help shape the next generation of Amazon Q. You will work at the intersection of generative AI, agentic systems, and large-scale distributed services to build highly visible, customer-facing capabilities used across AWS.
As a Senior SDE, you will...
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