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Sr. SDE, Alexa AI Agent Core, Alexa AI - Agent Core

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LocationPune, Maharashtra, India
WorkplaceOn-site
ExperienceSenior
CompensationUndisclosed

Job Overview

We are looking for a passionate and experienced Sr, Software Development Engineer to help us build and scale the next generation of AI runtime infrastructure for Alexa+. You will design and implement model evaluation frameworks and contribute to 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 services that power Alexa+ Model evaluations — including test case storage and execution, build processes and model evaluation systems.

Contribute to multi-agent coordination systems that route requests to the right expert agents with minimal latency

Own the operational excellence of core 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.

Key job responsibilities

Design, build, and operate large-scale services that drive Alexa+ quality flywheel

Build multi-tier frameworks that handle millions of requests to measure model accuracy

Own the operational excellence of core 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.

Basic qualifications

  • 5+ years of non-internship professional software development experience
  • 5+ years of programming with at least one software programming language experience
  • 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
  • Experience as a mentor, tech lead or leading an engineering team

Preferred qualifications

  • 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
  • Bachelor's degree in computer science or equivalent

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

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Posting Information

Employment TypeFull-time
Posted28 Oct 2026
Expires25 Nov 2026
SourceCareer page - Amazon

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