Software Development Engineer

- 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
- 1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience
- 1+ years of Object Oriented Design experience
- Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field
- Experience programming with at least one software programming language
- 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.

Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

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, CA, Palo Alto - 165,200.00 - 223,600.00 USD annually
USA, NY, New York - 158,100.00 - 213,800.00 USD annually
USA, WA, SEATTLE - 143,700.00 - 194,400.00 USD annually
Invent the future of conversational advertising powered by Large Language Models. Join the CAX (Conversational Ad Experiences) team, where you'll build industry-first sponsored conversational shopping experiences on Amazon Search—directly impacting how hundreds of millions of shoppers discover and engage with products.

This is a rare opportunity to work at the intersection of Generative AI and advertising at Amazon's scale. As a Software Development Engineer on the CAX team, you will drive major product and engineering initiatives that are both ambiguous and high-impact, building the systems that bring LLM-powered ad experiences to life in production. You'll partner directly with our science team to implement large language models, contribute to LLMOps, and build the ML infrastructure and data pipelines that power personalized conversational experiences.

What makes this role unique:

- Industry-first innovation — You'll pioneer conversational AI experiences in advertising that don't exist anywhere else yet
- GenAI at the core — LLMs aren't a side project here; they're the product. You'll ship GenAI to hundreds of millions of shoppers
- Full-stack impact — From large-scale distributed systems to ML infrastructure to customer-facing UX on Amazon Search
- Shape the roadmap — Ambiguous problem space means your ideas directly influence what gets built

Key job responsibilities
- Design and develop net-new conversational ad experiences on the Amazon Search page
- 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 (LLMOps)
- Build and maintain data processing pipelines that support personalized, AI-driven advertising at scale
- Pioneer new approaches to conversational AI and natural language interactions in advertising
- Collaborate with cross-functional teams to integrate AI-driven solutions across the advertising ecosystem
- Create scalable systems to deliver explicitly personalized ad experiences to hundreds of millions of shoppers
- Drive end-to-end ownership of key customer-facing functionality—from design through deployment and operations

About the team
The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through industry leading 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.