Jobs / Ama***

Software Development Engineer, AWS Marketplace & Partner Services

Ama*** · Seattle, WA, United States
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Seattle, WA, United States143,700-194,400 USD/yearlyRemote
Remuneration
143,700-194,400 USD/yearly
Location
Seattle, WA, United States
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Job summary

DESCRIPTION The AWS Marketplace & Partner Services (AMPS) Science team seeks a Software Engineer to design and build the infrastructure and tooling behind our AI solutions, including LLM training pipelines, custom LLM model hosting, and AI agent monitoring and evaluation infrastructure.

Benefits

Learn more about ourAt https://amazon.jobs/en/USA, WA, Seattle - 143,700.00 - 194,400.00 USD annually

Qualifications

  • Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field
  • 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
  • Experience programming with at least one software programming language
  • 2+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications,
  • Master's degree or equivalent
  • 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
  • Experience with building infrastructure for LLM fine-tuning pipelines and model hosting services—including training orchestration, model versioning, deployment automation, and cost-efficient serving at scale.
  • Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
  • Our inclusive culture empowers Amazonians to deliver the best results for our customers.
  • If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
  • The base salary range for this position is listed below.

Responsibilities

  • Build and operate monitoring, evaluation, and observability frameworks to measure AI agent performance, reliability, and effectiveness in production
  • Develop reusable tooling, APIs, and automation that accelerate the team's ability to experiment, deploy, and iterate on ML/AI solutions
  • Contribute to a fast-paced, experimental environment by rapidly prototyping and operationalizing infrastructure that leverages the most recent advances in ML/AI
  • A day in the life
  • We are at the forefront of developing and deploying AI/ML systems that serve multiple critical stakeholders:
  • AWS Customers: Through the AWS Marketplace, we build and support Discovery

Degrees

AssociateBachelorDegreeMaster

Industry

AutomotiveEnergyInsurance

Company size

SmbStartup