Senior Software Development Engineer, Luna Gen AI

Amazon Amazon · Big Tech · Seattle, WA · Software Development

Senior Software Development Engineer role focused on building Gen AI native games and gameplay experiences, and enhancing internal team productivity through agentic solutions. The role involves architecting, developing, and operating infrastructure for proprietary and third-party models, building intelligent agents, and optimizing AI solutions for performance and cost. It also includes leading internal GenAI adoption and ensuring enterprise-grade security and responsible AI.

What you'd actually do

  1. Drive platform architecture decisions
  2. Partner directly with game developers and platform teams
  3. Build and operate high-scale API infrastructure
  4. Launch cross-functional agents
  5. Evaluate & optimize performance

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
  • Experience with AWS or cloud technologies

Nice to have

  • 4+ years of Games Industry (supporting title Development, Release, or Live Ops) experience
  • Master's degree in computer science or equivalent
  • Experience building large-scale machine learning and AI solutions at Internet scale
  • 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience

What the JD emphasized

  • critical early member
  • hands-on builder
  • build resilient, performant solutions
  • build intelligent agents
  • ensure enterprise-grade security, compliance and responsible AI is the backbone of all solutions

Other signals

  • building intelligent agents
  • architect next-generation AI solutions
  • drive AI adoption
  • build and operate high-scale API infrastructure
  • launch cross-functional agents
  • evaluate & optimize performance
  • lead internal GenAI adoption