Amazon
Software Development Engineer, AI Foundations, Amazon Leo Networking Software
$144K–$194K
Redmond, WA · Full-time · Posted Oct 15, 2026
- Experience
- 3+ years professional software development; 2+ years design or architecture; 1+ years software development engineer or related occupational experience; 1+ years developing specified large-scale software; 1+ years Object Oriented Design.
- Education
- Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field.
- Visa sponsorship
- Candidates must be a U.S. citizen or national, U.S. permanent resident (current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.
About the job
Build and operate production AI agents and shared services that diagnose Amazon Leo satellite-network issues using operational data and engineering expertise.
What you'll do
- Develop AI agents, reusable agent tools, integrations, and evaluation systems for diagnosing network issues.
- Operate production services, including on-call support, metrics, root-cause analysis, and security reviews.
- Work with engineers and operators to turn ambiguous problems into shipped features and support adoption of agentic development practices.
What they ask for
- 3+ years of non-internship professional software development experience.
- 2+ years of non-internship design or architecture experience involving design patterns, reliability, and scaling.
- 1+ years of experience developing large-scale software 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.
- Bachelor's degree in computer science or equivalent.
Pay
143,700.00 - 194,400.00 USD annually (base salary)
Tools
AWS, C#, C++, Java, Perl
AI focus
Build production AI agents and shared agent tooling to diagnose network issues; develop evaluations measuring agent accuracy, coverage, and latency.
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