AI-Driven Full-Stack Software Engineer

Amazon Inc.; Austin (TX); Vor Ort; USD 144.000 - 194.000; Vollzeit

Zusammenfassung

Amazon.com Services LLC is seeking a Software Development Engineer, Agentic AI to build end-to-end full-stack experiences across UX, agent orchestration and execution, context and knowledge systems, and foundation model integration.

You will mentor engineers, drive reliability and security, plan and estimate delivery, and collaborate across teams in a high-trust startup-like environment while delivering scalable, customer-focused solutions.

Qualifikationen

• 3+ years of professional software development experience.
• 2+ years of design or architecture experience for systems.
• 1+ years of SDE or related experience.
• 1+ years of designing and developing large-scale, multi-tiered software applications 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.

Aufgaben

• Engineer end-to-end, full-stack experiences across UI, backend services, and APIs.
• Build and maintain agent orchestration and execution layer for reliable routing between AI models and user-facing surfaces.
• Define interfaces between systems for cohesive customer experiences.
• Plan, estimate, and drive delivery with autonomy and accountability.
• Prototype rapidly, validate hypotheses with customers, and foster a builder's mindset.
• Mentor and grow engineers through pairing and code reviews to cultivate ownership.
• Drive operational excellence focusing on reliability, performance, and security of services.

Kenntnisse

3+ years dev

2+ years design/architecture

1+ years SDE

Distributed systems (C#/C++/Java/Perl)

OO Design

Programming languages

Ausbildung

Bachelor's degree in CS/Engineering

Bachelor's degree or equivalent

Jobbeschreibung

Amazon.com Services LLC is seeking a Software Development Engineer, Agentic AI to build end-to-end full-stack experiences across UX, agent orchestration and execution, context and knowledge systems, and foundation model integration.

You will mentor engineers, drive reliability and security, plan and estimate delivery, and collaborate across teams in a high-trust startup-like environment while delivering scalable, customer-focused solutions.