Senior Software Development Engineer, Sponsored Products

Amazon Amazon · Big Tech · NY +1 · Software Development

Senior Software Development Engineer with Machine Learning/LLM/Agentic workflow background for Amazon Ads, focusing on building large-scale real-time ML/DL/LLM prediction services, multi-agent workflows for ads quality and relevance, and offline data/indexing systems. Responsibilities include designing, coding, troubleshooting, and supporting scalable pipelines and online serving systems, implementing and optimizing ML/DL/LLM solutions, and mentoring junior engineers.

What you'd actually do

  1. designing, coding, troubleshooting, and supporting scalable pipelines and online serving systems
  2. work with implementing end-to-end ML/DL/LLM solutions and optimizing their performance
  3. mentor junior engineers, guiding them to realize their full potential

Skills

Required

  • 5+ years of non-internship professional software development experience
  • 5+ years of programming with at least one software programming language experience
  • 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
  • Experience as a mentor, tech lead or leading an engineering team

Nice to have

  • 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
  • Experience with end-to-end design and implementation of ML and MLOps in production
  • Experience with deploying, optimizing and evaluating LLM, Multi-agent workflows in production
  • Machine Learning/LLM/Agentic workflow background (preferably in ads/recommendation delivery and quality domain)

What the JD emphasized

  • Machine Learning/LLM/Agentic workflow background
  • end-to-end ML/DL/LLM solutions
  • optimizing their performance
  • deploying, optimizing and evaluating LLM, Multi-agent workflows in production

Other signals

  • building large scale real-time ML/DL/LLM prediction services
  • multi-agent workflow for ads quality and relevance
  • implementing end-to-end ML/DL/LLM solutions
  • optimizing their performance