Level

Amazon

Software Development Engineer, Sponsored Products and Brands

AI in this role

Build large-scale distributed systems and ML infrastructure to operationalize LLM-driven ad experiences in production.

llmdistributed-systems
software-developmentmachine-learning-infrastructuregenerative-aisystem-designfull-stack
Build large-scale, low-latency distributed systems and ML infrastructure that power LLM-driven ad experiences in production — partnering with scientists to operationalize large language models and developing systems from the ground up on a team that thrives on creativity, experimentation, and collaboration.

As part of the Global Optimization team within Sponsored Products & Brands (SPB), you'll lead design efforts across the full stack, be a force-multiplier for other engineers, and have the flexibility to develop greenfield services in a fast-paced, high-energy environment. If you're passionate about Generative AI, Large Language Models, and their real-world applications — and you love tackling complex distributed systems challenges — this is your team.

Key job responsibilities
- Build large-scale, low-latency distributed systems and ML infrastructure to power LLM-driven ad experiences in production
- Partner with the science team to implement and operationalize large language models
- Build and maintain data processing pipelines that support personalized, AI-driven advertising at scale
- Lead design efforts across the full stack, collaborating with cross-functional teams including product managers, designers, and engineers
- Write high-quality, maintainable code and contribute to engineering standards that promote reliability and team effectiveness

About the team
The Sponsored Products and Brands (SPB) team at Amazon Ads is re-imagining the advertising landscape through state-of-the-art generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond. We are at the forefront of re-inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights. We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace. If you're energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising.

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
- 1+ years of software development engineer or related occupational 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, NY, New York - 158,100.00 - 213,800.00 USD annually

How we score this

Software Development Engineer, Sponsored Products and Brands at Amazon scores 90 out of 100 on AI centrality, which makes it AI Level 4 of 4 (Builds AI) on this board. The level measures how much of the work is AI, not seniority.

Classification

AI Level 4. Building AI systems is the job itself: without AI, the role would not exist.

  1. AI Level 480 to 100
  2. AI Level 360 to 79
  3. AI Level 240 to 59
  4. AI Level 10 to 39

Bands 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

Software DevelopmentMachine Learning InfrastructureGenerative AISystem DesignFull StackLlmDistributed Systems

Questions you could be asked

  1. Tell me about a project where software development was part of your work. What did you do?
  2. Tell me about a project where machine learning infrastructure was part of your work. What did you do?
  3. Tell me about a project where generative ai was part of your work. What did you do?
  4. Tell me about a project where system design was part of your work. What did you do?
  5. Tell me about a project where full stack was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: Software Development, Machine Learning Infrastructure, Generative AI, System Design, and Full Stack. 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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