Software Development Engineer, AI Foundations

- 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
- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent

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The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.

USA, WA, Redmond - 143,700.00 - 194,400.00 USD annually
Amazon Leo is Amazon's Low Earth Orbit satellite network, built to deliver fast, reliable internet to customers beyond the reach of existing networks. The AI Foundations team builds AI agents that turn Leo's best troubleshooting expertise into diagnoses in minutes instead of hours, helping keep the network available for every customer.

As a Software Development Engineer on AI Foundations, you will design and build production agentic systems on AWS that reason over real satellite, ground, and network data. You will work directly with principal engineers and network operators, and your work will shape how Leo is operated at scale.

Export Control Requirement: Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.

Key job responsibilities
- Design, build, and operate AI agents and services that diagnose network and connectivity issues using telemetry, logs, and engineering knowledge.
- Turn proven engineering tools and data sources into reusable agent tools so teams across Leo can build on them.
- Build evaluation harnesses that measure agent accuracy, coverage, and latency, and use them to gate launches.
- Own your services in production: on-call, operational metrics, root-cause analysis, and security reviews.
- Partner with principal engineers, operators, and program managers to turn ambiguous problems into shipped features.
- Write clear design docs, give thoughtful code reviews, and help teammates adopt agentic development practices.

A day in the life
You might start the morning reviewing overnight evaluation results and spotting a class of network failures your agent misdiagnosed. You trace the gap to a missing data source, then sit down with the principal engineer who owns that subsystem to agree on how to expose their tool to the agent. After lunch you build the integration and add new test cases, then review a teammate's pull request. Late afternoon, you join an operations review where an operator walks through a real incident your agent helped resolve, and you leave with a clear next priority.

About the team
AI Foundations is a new team in Amazon Leo's networking software organization. Our mission is to help Leo reach and sustain its network availability goals by turning the organization's best troubleshooting expertise into AI agents anyone can use. We build the shared foundations (agent tooling, evaluation, and integrations) that let engineering and operations teams across Leo ship their own agents safely. Because the team is early, you will help shape its architecture, engineering bar, and culture. We value builders who are curious about how satellite networks work, measure what they ship, and prefer simple systems that operators trust.