Sde, AI Infrastructure, Aft AI

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

Software Development Engineer to lead engineering efforts in developing infrastructure for agentic AI solutions in Amazon warehouses, including training and inference pipelines, and transforming research artifacts into scalable systems.

What you'd actually do

  1. Design and Develop infrastructure for evaluation and benchmarking of agentic AI model that impact the entire fulfillment network.
  2. Design and Develop end-to-end training and inference pipelines to accelerate agentic AI model development while optimizing GPU usage.
  3. Transform experimental AI artifacts from research into scalable systems by incorporating robust architectural components and engineering best practices.
  4. Lead and mentor a junior engineers through coaching and technical guidance.
  5. Own the technical architecture and define patterns and strategies where none exist.

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

  • agentic AI solutions
  • vast scale
  • Fulfillment Technology and Robotics
  • pushing beyond the state of the art GenAI
  • agentic AI model
  • scalable systems

Other signals

  • develop novel agentic AI solutions
  • build and deploy them on real-world problems at a truly vast scale
  • develop the infrastructure to support AI research and development at scale
  • production systems that allow our agentic solutions to operate