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Sr. Software Development Engineer, Amazon Seller Assistant

Amazon.com Inc
  • Seattle, WA
    1 day ago

    Job Description

    Amazon Seller Assistant is our flagship GenAI-first, multi-agent system that reimagines seller experience. Our vision is to provide each seller with a proactive, autonomous, agentic assistant that understands their business and helps them navigate the complexities of selling by anticipating their needs, surfacing insights, resolving issues, taking actions on their behalf, and helping them grow. Amazon Seller Assistant helps millions of sellers on Amazon serve billions of customers worldwide.

    We are looking for a Senior Software Development Engineer to help define and build the next generation of Amazon Seller Assistant. You will partner with scientists and engineers to launch production-grade agentic capabilities at Amazon"s scale, owning your problem space end-to-end from a clear customer insight to a shipped product that millions of sellers rely on.

    Key job responsibilities

    Lead the design and development of agentic software systems across the full lifecycle - from working backwards on a seller problem through technical design, implementation, testing, deployment, and ongoing maintenance.

    Own your team"s architectural direction for multi-agent services, influence technical decisions in dependent systems, and guide technology choices by evaluating tradeoffs in scalability, extensibility, performance, and security.

    Collaborate with applied scientists, partner engineering teams, and product managers to translate GenAI research into reliable, production-grade seller-facing features.

    Mentor and coach multiple engineers, drive adoption of engineering best practices, and contribute to team growth through recruiting, technical assessments, and career guidance.

    Evaluate when and how to integrate generative AI tooling into development workflows, refine model outputs using responsible practices, and apply well-chosen data structures and algorithms to solve problems efficiently.

    A day in the life

    You start by reviewing a technical design document from a teammate, sharpening the approach before the team commits to implementation. Later, you lead a working session with engineers from a partner team to align on an interface contract between your services. After lunch, you write code for a critical agentic component, applying patterns that others on your team will reference as they build adjacent features. You wrap up by pairing with a junior engineer on a tricky debugging session, turning it into a coaching moment.

    About the team

    Amazon Seller Assistant team operates at the very frontier of agentic AI and agentic commerce - not as a research group, but as a team shipping production-grade, multi-agent systems used by millions of sellers worldwide. We move with the urgency of a startup and the resources of the world"s most customer-obsessed company, transforming the latest breakthroughs in science and engineering into capabilities that sellers rely on every day.

    Numbers & Facts

    LocationSeattle, 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

    • Algorithmsunmatched
    • Architectural Servicesunmatched
    • Artificial Intelligence (AI)unmatched
    • Best Practicesunmatched
    • Career Counselingunmatched
    • Coachingunmatched
    • Computer Programmingunmatched
    • Customer/Client Researchunmatched
    • Data Structuresunmatched
    • Design Documentunmatched
    • International Salesunmatched
    • Machine Toolunmatched
    • Mentoringunmatched
    • Problem Solving Skillsunmatched
    • Product Shipmentsunmatched
    • Revenue Growthunmatched
    • Salesunmatched
    • Software Designunmatched
    • Software Developmentunmatched
    • Software Engineeringunmatched
    • Startupunmatched
    • Technical Analysisunmatched
    • Technical Recruitingunmatched
    • Technical Salesunmatched
    • Technical Writingunmatched
    • Technical/Engineering Designunmatched
    • Testingunmatched
    • Trade-Off Analysisunmatched

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