✦ Luna Orbit — System Administration

Software Development Engineer, Conversational Ads Experience

at Amazon.com

📍 US, WA, Seattle Unknown Posted April 15, 2026
Type Full-Time
Experience mid
Exp. Years 3+ years
Education Not specified
Category System Administration

Software Development Engineer role for the Conversational Ad Experiences (CAX) team within Sponsored Products and Brands (SPB). You will build low-latency distributed systems and help operationalize large language models (LLMs) in production for conversational shopping/ad experiences.

  • Drive major product and engineering initiatives
  • Build large-scale, low-latency distributed systems
  • Build ML infrastructure and data processing pipelines
  • Implement LLM models in production and contribute to LLMOps
  • Design, build, and operate customer facing functionality

Work across the ML and software stack to create and operate customer-facing functionality powered by LLMs. The role emphasizes LLMOps, ML infrastructure, and data processing pipelines, along with system design for reliability and scaling.

The ideal candidate is a mid-level software engineer with 3+ years of professional software development experience and strong system design/architecture experience focused on reliability and scaling. They have built low-latency distributed systems and have experience implementing large language models (LLMs) in production, contributing to LLMOps for conversational AI advertising experiences.

3+ years of non-internship professional software development experience2+ years of non-internship design or architecture (design patternsreliability and scaling) of new and existing systemsExperience programming with at least one software programming languageDrive major product and engineering initiativesBuild large-scalelow-latency distributed systemsImplement LLM models in productionDesignbuildand operate customer facing functionality
3+ years of full software development life cycleincluding coding standardscode reviewssource control
large language models (LLMs)LLMOpsdistributed systemslow-latency distributed systemsML infrastructuredata processing pipelinesconversational ad experiencessoftware development life cycledesign patternsreliability and scalingcode reviewssource controlgenerative AI technologiesresponsible AI technologies
large language models (LLMs)LLM models in productionLLMOpsdistributed systemslow-latency distributed systemsML infrastructuredata processing pipelinescustomer facing functionalitysoftware development lifecycledesign or architecture (design patternsreliability and scaling)codingcode reviewssource controlresponsible AI technologiesgenerative AI technologiesproduction deployment of ML/LLM models
CollaborationBias for actionExperimentation and innovationEntrepreneurial spiritResponsible decision making for AI systemsCustomer focus
Industry Media
Job Function Develop and operate conversational advertising experiences powered by large language models (LLMs).
Role Subtype Platform Engineer
Tech Domains AI & Machine Learning, Java, Amazon Web Services
Software Development EngineerConversational Ads ExperienceConversational Ad Experiences (CAX)Sponsored Products and Brands (SPB)Sponsored conversational shopping experienceslarge language models (LLMs)LLMOpsDrive major product and engineering initiativeslow-latency distributed systemsdistributed systemsML infrastructuredata processing pipelinesdesign patternsreliability and scalingdesign or architecturecustomer facing functionalitygenerative AI technologiesproductioncode reviewssource controlsoftware development life cycleresponsible AI technologies

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

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