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Software Development Engineer, Alexa AI

Amazon.com Inc
  • Bellevue, WA
    30+ days ago

    Job Description

    We are hiring a Software Development Engineer to design, build, and operate production systems across our core workstreams. Depending on your interests and strengths, you may contribute to:

    Agent communication platform - Design and implement the SDK and communication framework that defines how external AI agents interact with Alexa"s AI runtime. Build protocol definitions, lifecycle management, and the partner onboarding tooling that makes agent integration self-service.

    Intelligent request routing - Implement surface-aware and context-aware routing logic so that Alexa"s AI runtime routes requests correctly based on device type, modality, and customer context - with proper failure isolation between surfaces.

    Unified agent ingress and event delivery - Build production-grade APIs and event bus infrastructure that serve as the single ingress point for all AI agent requests and enable mid-execution event delivery for proactive and autonomous agent patterns.

    Key job responsibilities

    • Design, implement, and operate distributed systems that power Alexa"s AI runtime at scale, including response generation, agent communication, and AI service infrastructure
    • Contribute to the design and implementation of agent platform primitives: SDKs, agent registries, and communication frameworks used by multiple partner teams
    • Build and maintain production-grade services with strong operational health - monitoring, alerting, runbooks, and automated remediation
    • Collaborate with partner teams across the organization to define API contracts, align on system architecture, and unblock cross-team dependencies
    • Participate in on-call rotations and contribute to operational excellence, including error rate reduction, incident response, and runbook automation
    • Drive improvements in developer velocity: local development environments, integration test harnesses, and CI/CD tooling
    • Mentor junior engineers and contribute to team engineering standards, design review culture, and code quality

    About the team

    Our team sits at the heart of Alexa"s AI runtime. We own the systems that transform large language model outputs into real-time, multi-modal responses delivered to millions of customers - and we build the agentic platform infrastructure that enables every Alexa AI initiative to communicate naturally and reliably at scale.

    We operate at the critical interface between the AI reasoning and orchestration layer and the response delivery layer. Our work spans service decomposition and decoupling, streaming response generation, agent communication frameworks, and the SDKs and APIs that let partner teams self-serve on our infrastructure without requiring engineering involvement from our team.

    We are a high-ownership, high-autonomy team. If you want to build infrastructure that other teams" products and agents run on - rather than individual features - this is the right place.

    Numbers & Facts

    LocationBellevue, WA
    IndustryRetail
    Company Size10,000 employees or more
    Year Founded1994
    Websitehttp://Amazon.com/militaryroles

    About Company

    At Amazon, we don’t wait for the next big idea to present itself. We envision the shape of impossible things and then we boldly make them reality. So far, this mindset has helped us achieve some incredible things. Let’s build new systems, challenge the status quo, and design the world we want to live in. We believe the work you do here will be the best work of your life.

    Wherever you are in your career exploration, Amazon likely has an opportunity for you. Our research scientists and engineers shape the future of natural language understanding with Alexa. Fulfillment center associates around the globe send customer orders from our warehouses to doorsteps. Product managers set feature requirements, strategy, and marketing messages for brand new customer experiences. And as we grow, we’ll add jobs that haven’t been invented yet.

    It’s Always Day 1
    At Amazon, it’s always “Day 1.” Now, what does this mean and why does it matter? It means that our approach remains the same as it was on Amazon’s very first day – to make smart, fast decisions, stay nimble, invent, and stay focused on delighting our customers. In our 2016 shareholder letter, Amazon CEO Jeff Bezos shared his thoughts on how to keep up a Day 1 company mindset. “Staying in Day 1 requires you to experiment patiently, accept failures, plant seeds, protect saplings, and double down when you see customer delight,” he wrote. “A customer-obsessed culture best creates the conditions where all of that can happen.” You can read the full letter here

    Our Leadership Principles
    Our Leadership Principles help us keep a Day 1 mentality. They aren’t just a pretty inspirational wall hanging. Amazonians use them, every day, whether they’re discussing ideas for new projects, deciding on the best solution for a customer’s problem, or interviewing candidates. To read through our Leadership Principles from Customer Obsession to Bias for Action, visit https://www.amazon.jobs/principles

    Skills

    • Agent Communicationunmatched
    • Amazon Alexaunmatched
    • Application Programming Interface (API)unmatched
    • Artificial Intelligence (AI)unmatched
    • Artificial Intelligence (AI) Agentsunmatched
    • Automationunmatched
    • Code Reviewsunmatched
    • Continuous Deployment/Deliveryunmatched
    • Continuous Integrationunmatched
    • Distributed Computingunmatched
    • Incident Responseunmatched
    • Integration Testingunmatched
    • Machine Toolunmatched
    • Mentoringunmatched
    • Modalityunmatched
    • Modeling Languagesunmatched
    • On Callunmatched
    • Onboardingunmatched
    • Process Improvementunmatched
    • Production Systemsunmatched
    • Software Designunmatched
    • Software Developmentunmatched
    • Software Engineeringunmatched
    • System Architectureunmatched
    • System Operationsunmatched
    • Test Harnessunmatched

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