Drimva

Amazon

Software Dev Engineer II, GenAIUX

$144K–$194K

Seattle, WA · Full-time · Posted Oct 22, 2026

Experience
3+ years non-internship professional software development; 2+ years non-internship design or architecture; 1+ years software development engineer or related occupational experience; 1+ years developing specified large-scale software applications; 1+ years Object Oriented Design.
Education
Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field.

About the job

Develop end-to-end generative AI platform services and AI-powered design tools for prototyping, validation, and automation workflows.

What you'll do

  • Optimize performance and responsiveness of AI-driven interfaces, including large-dataset processing and real-time streaming.
  • Design and own systems across backend services, APIs, data storage, and frontend; build GenAI-powered services for design generation, validation, and automation.
  • Collaborate with internal teams, and contribute to hiring, mentoring, and engineering standards.

What they ask for

  • 3+ years of non-internship professional software development experience.
  • 2+ years of non-internship design or architecture experience for new and existing systems, including design patterns, reliability, and scaling.
  • 1+ years of experience developing large-scale software applications, tools, systems, or services using C#, C++, Java, or Perl; 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 experience, including coding standards, code reviews, source control management, build processes, testing, and operations.
  • Bachelor's degree in computer science or equivalent.

Pay

143,700.00 - 194,400.00 USD annually (base salary)

Tools

C#, C++, Java, Perl

AI focus

Develop generative and agentic AI tools and services for design generation, validation, prototyping, and automation, with emphasis on trust, transparency, user control, and AI-compatible user experiences.

Model-written summary · the original posting is authoritative

First seen Oct 23, 2026 · Last verified Nov 5, 2026 (UTC)