SDE, GenAI & Agentic AI — Build Scalable ML Systems

Amazon Inc.; New York (NY); On-site; USD 158,000 - 214,000; Full time

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Parental leave

Job summary

Amazon Development Center U.S., Inc. in New York is seeking a Software Development Engineer for the Agentic AI team within AWS.

You will design, develop, test, and deploy distributed machine learning systems and large-scale solutions for our worldwide customer base, mentoring engineers and guiding best practices. The role emphasizes collaboration with applied scientists to shape cutting-edge AI services and memory-enabled agent systems in a fast-moving, startup-like environment within a large

Qualifications

• 3+ years of non-internship professional software development experience.
• 2+ years of non-internship design or architecture 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

Skills

Software development experience

System design/architecture

SDLC / code reviews

OO design

Languages: C#, C++, Java, Perl

Education

Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field

Bachelor's degree in computer science or equivalent

Job description

Amazon Development Center U.S., Inc. in New York is seeking a Software Development Engineer for the Agentic AI team within AWS.

You will design, develop, test, and deploy distributed machine learning systems and large-scale solutions for our worldwide customer base, mentoring engineers and guiding best practices. The role emphasizes collaboration with applied scientists to shape cutting-edge AI services and memory-enabled agent systems in a fast-moving, startup-like environment within a large