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Software Development Engineer, Products Autonomous Campaigns

Job in Seattle, King County, Washington, 98127, USA
Listing for: Amazon
Full Time position
Listed on 2026-09-01
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Machine Learning/ ML Engineer, Backend Developer
Salary/Wage Range or Industry Benchmark: 144000 - 194000 USD Yearly USD 144000.00 194000.00 YEAR
Job Description & How to Apply Below
Position: Software Development Engineer, Sponsored Products Autonomous Campaigns

Description

Build the agent execution engine powering autonomous advertising campaigns for 1.6 million advertisers — designing core infrastructure for LLM reasoning, multi-step orchestration, and reinforcement learning that enables agents to plan, reason, and act across complex advertiser workflows. Your contributions will form the backbone of the systems delivering personalized, context-aware guidance at massive scale.

Build the agent execution engine powering autonomous advertising campaigns for 1.6 million advertisers — designing core infrastructure for LLM reasoning, multi-step orchestration, and reinforcement learning that enables agents to plan, reason, and act across complex advertiser workflows. Your contributions will form the backbone of the systems delivering personalized, context-aware guidance at massive scale.
The Autonomous Campaigns team within Sponsored Products and Brands is building a highly personalized campaign creation and management system that leverages LLMs together with auction simulations, ML models, and optimization algorithms. This agentic framework operates across both chat and non-chat experiences in the ad console — scaling from natural language queries to proactive guidance based on deep understanding of each advertiser.

At our scale, even small improvements in guidance systems have outsized impact on advertiser success and Amazon's retail ecosystem. You'll work closely with senior engineers and applied scientists to translate research prototypes into robust, high-performance production systems — diving deep into LLM deployment frameworks, reinforcement learning infrastructure, and state-of-the-art agent architectures to solve real customer problems.

Key job 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 product ionize 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
About The Team

The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through the latest generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across  and beyond. We are at the forefront of re-inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights.

We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace. If you're energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising.

Basic Qualifications
  • 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
  • Experience with AI/ML technologies
Preferred Qualifications
  • 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

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…

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