Amazon is looking to build and scale the infrastructure for its next-generation agentic advertiser guidance framework. This involves designing and implementing core components for agent execution, evaluation, and model tuning to enable agents to reason, plan, and act across complex advertiser workflows, ultimately providing personalized guidance to millions of advertisers.
Requirements
- Experience programming with at least one software programming language
- 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
- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
Responsibilities
- Implement core services and APIs for agent orchestration, tool invocation, and state management.
- Build scalable, reusable data and tool registry
- Build components of evaluation pipelines (offline/online) for measuring reasoning quality, advertiser outcomes, and safety guardrails.
- Develop infrastructure to support fine-tuning and reinforcement learning pipelines, collaborating with scientists to productionize workflows.
- Ensure performance, scalability, observability, and maintainability through strong engineering practices.
- Participate in system design, code reviews, and team architecture discussions.
- Continuously learn and apply new techniques in agentic frameworks, distributed systems, and cloud-native development.
Other
- work safely and cooperatively with other employees, supervisors, and staff
- adhere to standards of excellence despite stressful conditions
- communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service
- follow all federal, state, and local laws and Company policies
- exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation.
