Software Development Engineer II, Alexa Shopping, Alexa Shopping - Core

AI in this role

Build LLM-powered and agentic AI shopping experiences and conversational interfaces for Alexa.

llmsgenerative-aiagentic-ai

prompt-engineeringsoftware-engineeringconversational-interfacesdistributed-systems

Are you passionate about building innovative shopping experiences powered by voice and AI? The Alexa Shopping - Core team is looking for a Software Development Engineer to build the customer experiences that enable millions of customers to shop seamlessly through Alexa.

You'll work across retail and core Alexa frameworks and services, from product discovery to conversational interfaces to prompt tuning, designing and shipping features end-to-end. We're investing heavily in LLM-powered and agentic AI shopping experiences, and you'll be building at the intersection of Generative AI, voice, and retail at scale. This is a high-visibility role where your work ships to customers daily.

Key job responsibilities
- Design and build end-to-end features that bring retail shopping experiences to Alexa, working across retail tech stacks, Alexa services, and LLM-powered conversational interfaces
- Develop and iterate on GenAI and agentic AI capabilities, including prompt engineering and tuning for customer-facing shopping experiences
- Own your services from design through production, writing clean, maintainable code and driving engineering best practices through code reviews
- Collaborate with product managers, applied scientists, and partner teams to define, build, and ship customer-facing features
- Troubleshoot and resolve production issues, participate in on-call rotations, and continuously improve operational health through automation and monitoring
- Experiment and move fast, balancing speed of delivery with long-term system quality

A day in the life
As an SDE on the Alexa Shopping - Core team, you'll spend most of your time writing code that shapes how customers shop through Alexa. On any given day, you might be building a new shopping experience, tuning prompts for conversational flows, or iterating on a GenAI-powered feature with an applied scientist. You'll collaborate closely with product managers and teammates on design approaches, ship frequently, and see your work in customers' hands quickly. You'll also contribute to operational health through on-call rotations, monitoring, and automation, shared across a small, supportive team.

About the team
The Alexa Shopping - Core team builds the customer experiences that let millions of customers shop through Alexa, from product discovery to purchase. We work across retail and Alexa frameworks, and we're actively building the next generation of conversational shopping powered by LLMs and agentic AI. Our engineers own their problem spaces end-to-end and have real autonomy to experiment and ship fast. We're a small team that invests in each other's growth through mentorship, design reviews, and a culture where everyone's voice shapes the product.

Basic qualifications

- 3+ years of non-internship professional software development experience
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience programming with at least one software programming language

Preferred qualifications

- 3+ 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

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

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.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.

USA, WA, Seattle - 143,700.00 - 194,400.00 USD annually

How we rate this

Software Development Engineer II, Alexa Shopping, Alexa Shopping - Core at Amazon rates 85 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

Prompt EngineeringSoftware EngineeringConversational InterfacesDistributed SystemsLLMsGenerative AIAgentic AI

Questions you could be asked

How do you structure and test a prompt to get consistent output from a language model?
Tell me about a project where software engineering was part of your work. What did you do?
Tell me about a project where conversational interfaces was part of your work. What did you do?
Tell me about a project where distributed systems was part of your work. What did you do?
Walk me through how you've used LLMs in your day-to-day work.

Adapt your resume

List these exact terms on your resume: Prompt Engineering, Software Engineering, Conversational Interfaces, Distributed Systems, and LLMs. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
Lead with what you built, trained or shipped — this role is judged on the AI system itself, not the tools around it.

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