AI-Driven Advertising Systems Engineer

Amazon; New York (NY); On-site; USD 158,000 - 214,000; Full time

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Job summary

Amazon in New York, NY is hiring a Software Development Engineer for Sponsored Products Autonomous Campaigns. You will help build the agent execution engine enabling 1.6 million advertisers to plan, reason, and act across complex workflows.

The role focuses on scalable infrastructure for LLM reasoning, multi-step orchestration, and reinforcement learning, working with senior engineers and researchers to productionize cutting-edge AI systems.

Qualifications

• 3+ years of non-internship professional software development experience.
• Bachelor's degree in computer science or equivalent.
• Experience with AI/ML technologies.

Responsibilities

• Implement core services and APIs for agent orchestration, tool invocation, and state management.
• Build scalable, reusable data and tool registry systems that enable agents to reason across complex workflows.
• 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

Skills

Software development

System design

AI/ML

Multi-threading

Education

Bachelor's degree in computer science or equivalent

Job description

Amazon in New York, NY is hiring a Software Development Engineer for Sponsored Products Autonomous Campaigns. You will help build the agent execution engine enabling 1.6 million advertisers to plan, reason, and act across complex workflows.

The role focuses on scalable infrastructure for LLM reasoning, multi-step orchestration, and reinforcement learning, working with senior engineers and researchers to productionize cutting-edge AI systems.