Ambient AI Infrastructure SDE II

Amazon; Irvine (CA); On-site; USD 144,000 - 194,000; Full time

Job summary

Amazon.com Services LLC in Irvine, CA is hiring a Software Development Engineer II to help build a groundbreaking customer experience that runs AI in production. You will design and ship core software for multimodal interactions, models, and agent capabilities, with an emphasis on reliability, safety, and performance.

In a fast-paced, AI-native environment, you will move fast while maintaining high quality gates, automated testing, and code reviews, collaborating with internal teams and

Qualifications

• Bachelor's degree or equivalent.
• 3+ years of non-internship professional software development experience.
• 2+ years of contributing to new and current systems architecture and design.
• Experience with full software development lifecycle, code reviews, and operational excellence.

Responsibilities

• Invent new paradigms beyond traditional UI for ambient intelligence across surfaces.
• Prototype, test, and deploy features using multimodal inputs to personalize experiences.
• Ensure cross-surface continuity of user experience across devices.
• Design, build, test, and operate scalable backend services and libraries for AI features.
• Integrate model providers, tools, and agent capabilities with robust interfaces.
• Build evaluation and regression tooling to measure and gate AI behavior.
• Apply secure, fail-closed design for credentials and user data handling.
• Collaborate with AI coding assistants and review AI-generated code with rigor.

Skills

Software development experience

Programming languages

System architecture design

AI tooling familiarity

Education

Bachelor's degree or equivalent

Tools

Python

Perl

Job description

Amazon.com Services LLC in Irvine, CA is hiring a Software Development Engineer II to help build a groundbreaking customer experience that runs AI in production. You will design and ship core software for multimodal interactions, models, and agent capabilities, with an emphasis on reliability, safety, and performance.

In a fast-paced, AI-native environment, you will move fast while maintaining high quality gates, automated testing, and code reviews, collaborating with internal teams and