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Software Development Engineer, AI Runtime

Amazon · On-site · Full-time · Pune, Maharashtra, IND

Posted (18h ago)

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Same job ID since we first saw it on Oct 16, 2026. If Amazon reposts it, we keep the original posting date.
Level
Mid-level
Work setup
On-site
Tech mentioned
LLMs
Amazon hiring
804 roles posted in the last 30 days

Job description

We are looking for a passionate and experienced Software Development Engineer to help us build and scale the next generation of AI runtime infrastructure for Alexa+. You will design and implement Tier-1 distributed systems that orchestrate expert agent executions, manage LLM inference pipelines, and ensure reliable, low-latency delivery across Alexa-enabled devices globally. This is a high-impact role where your work directly shapes how millions of customers experience Alexa+ every day. Key job responsibilities - Design, build, and operate large-scale distributed services that power Alexa+ Expert executions - Develop and optimize LLM orchestration pipelines — including model serving, prompt routing, and inference optimization - Build multi-agent coordination systems that route requests to the right expert agents with minimal latency - Own the operational excellence of Tier-1 services, ensuring 99.99%+ availability at scale - Collaborate with applied scientists and ML engineers to integrate new AI capabilities into production - Drive architectural decisions that balance performance, reliability, and cost efficiency - Mentor teammates and raise the engineering bar through code reviews, design reviews, and technical leadership About the team The AI Runtime team is the backbone of Alexa+. We own the infrastructure that powers Expert executions — the multi-agent systems that bring Alexa+'s intelligent capabilities to life for hundreds of millions of customers worldwide. Our services orchestrate LLM inference, coordinate expert agents, and deliver responses at massive scale with low latency. When a customer interacts with Alexa+ and it feels magical, our platform made it happen.

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Amazon job ID: 10581459

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