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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.
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.