Software Dev Engineer Ii, Conversational Ad Experiences

Amazon Amazon · Big Tech · Palo Alto, CA · Software Development

Software Dev Engineer II for Amazon Ads Conversational Ad Experiences team, focusing on generative AI and LLMs to revolutionize advertising. The role involves designing and building net new conversational ad experiences, integrating AI-driven solutions, and creating scalable systems for personalized ads. It requires strong software engineering skills, experience with large-scale distributed systems, and collaboration with science teams to implement LLM models in production and contribute to LLMOps.

What you'd actually do

  1. Design and develop net new conversational ad experiences on the Search page
  2. Collaborate with cross-functional teams to integrate AI-driven solutions across our advertising ecosystem
  3. Pioneer new approaches to conversational AI and natural language interactions in advertising
  4. Shape the future of how businesses connect with customers through advertising
  5. Create scalable systems to deliver explicitly personalized ad experiences

Skills

Required

  • 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

Nice to have

  • 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

What the JD emphasized

  • industry first
  • ambiguous and challenging
  • significant impact

Other signals

  • Generative AI
  • LLMs
  • Conversational AI
  • large-scale, low-latency distributed systems
  • ML infrastructure
  • LLMOps