SDE, Agentic AI: Build Scalable GenAI Memory Systems

Amazon Inc.; Nashville (TN); On-site; USD 158,000 - 214,000; Full time

Job summary

Amazon Development Center U.S., Inc. is seeking a Software Development Engineer for the Agentic AI team, building scalable ML systems and memory for autonomous agents.

You will design, develop, test, and deploy distributed systems, mentor engineers, and collaborate with applied scientists to shape AWS GenAI initiatives.

This role offers a fast-paced, startup-like environment within a large company, with opportunities to impact customers worldwide.

Qualifications

• 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

Responsibilities

• Design, develop, test, and deploy distributed machine learning systems and large-scale solutions.
• Mentor engineers and drive system architecture and best practices.
• Collaborate with applied scientists to influence our overall strategy.

Skills

Software development

Design/architecture

Object Oriented Design

Programming languages

Education

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

Tools

C#

C++

Java

Perl

Job description

Amazon Development Center U.S., Inc. is seeking a Software Development Engineer for the Agentic AI team, building scalable ML systems and memory for autonomous agents.

You will design, develop, test, and deploy distributed systems, mentor engineers, and collaborate with applied scientists to shape AWS GenAI initiatives.

This role offers a fast-paced, startup-like environment within a large company, with opportunities to impact customers worldwide.