Software Development Engineer, Alexa Edge AI

We are looking for a Software Development Engineer to join a greenfield platform team building ambient intelligence for Alexa. You will design and implement distributed systems that process real-time context streams, orchestrate large language model inference, and deliver proactive experiences to millions of customers.

You'll work across the full stack — from low-latency event-driven architectures to cloud-scale ML serving infrastructure — and have direct impact on how Alexa anticipates and acts on customer needs.

Key job responsibilities• Collaborate and communicate effectively with experienced cross-disciplinary Amazonians to design, build, and operate innovative products and services that delight our customers, while participating in technical discussions to drive solutions forward.

• Design and develop scalable solutions using cloud-native architectures and microservices in a large distributed computing environment. • Participate in code reviews and contribute to technical documentation. • Build and maintain resilient distributed systems that are scalable, fault-tolerant, and cost-effective.

• Leverage and contribute to the development of GenAI and AI-powered tools to enhance development productivity while staying current with emerging technologies. • Write clean, maintainable code following best practices and design patterns.

• Work in an agile environment practicing CI/CD principles while participating in operational responsibilities including on-call duties. • Demonstrate operational excellence through monitoring, troubleshooting, and resolving production issues.

About the teamWe're building the next generation of ambient intelligence for Alexa — a greenfield platform team at the intersection of large language models, real-time stream processing, and edge-to-cloud computing.

Our mission is to make Alexa proactively helpful by understanding context as it happens and turning it into meaningful action. This is cutting-edge AI engineering: low-latency inference orchestration, distributed event-driven architectures, and novel ML integration patterns — all operating at massive scale.

If you want to shape the future of proactive AI from the ground up, this is the team.