Senior Research Engineer, Aws Agentic AI

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

Senior Research Engineer on the AWS Agentic AI team, focused on building a new Generative AI application (QuickSuite) for enterprises. The role involves defining, designing, and leading the development of tools to accelerate science experimentation, including scalable experiment frameworks, low-latency testing pipelines, and data collection/evaluation tools. It also bridges the gap between science and production, expediting the science-to-production paradigm.

What you'd actually do

  1. Define, design and lead the development of tools that accelerate the science experimentation and delivery process
  2. Design and guide the science team's implementation, enabling Science proof of concepts that help decide the ultimate science solution strategy, algorithm workflow, and the individual science components that become a release candidate
  3. Tool development: build and improve toolings that applied scientists would need, including scalable science experiment frameworks, low-latency testing pipelines, data collection/annotation/evaluation web applications.
  4. Expedite science to production: bridge the gap between science and engineering teams, help to investigate and mitigate gaps between science and engineering pipeline. Help to merge both pipelines to one, or making components within the two interchangeable. Work towards a fast science-to-production paradigm.

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
  • Bachelor's degree in computer science or equivalent

What the JD emphasized

  • AWS Agentic AI team
  • science experimentation
  • delivery process
  • science solution strategy
  • science components
  • tool development
  • science experiment frameworks
  • testing pipelines
  • data collection/annotation/evaluation
  • Expedite science to production
  • science and engineering teams
  • science and engineering pipeline
  • science-to-production paradigm

Other signals

  • Generative AI application
  • develop novel product
  • complex technical challenges
  • AI solution
  • AWS Agentic AI team