Amazon.com Services LLC
Software Development, Advertising
SoftwareDevelopmentEngineer,SponsoredProductsandBrands
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“Software Development Engineer, Sponsored Products and Brands at Amazon.com Services LLC. Skills: Generative AI, Agentic architectures, Experimentation systems. Build AI engineering infrastructure. Develop bidding systems”
What You'll Achieve.
Deliver low-latency experiences; Deliver secure experiences; Optimize for cost efficiency; Improve team operations; Improve team tooling; Improve team processes; Drive business impact
Industry & Context.
Creative problem-solver; Tackling complex challenges; Root cause analysis
What They're Looking For.
Must Have
3+ years software development experience, 2+ years system design/architecture experience, Experience programming one language, Technical fluency in Generative AI, Deep understanding of LLMs, Model fine tuning experience, Prompt engineering experience, RLHF experience, RAG experience, AI model trade-offs understanding
Nice to Have
3+ years full SDLC experience, Master's degree or equivalent, Experience developing AI products at scale
What You'll Do.
Build AI engineering infrastructure
Develop bidding systems
Develop model fine-tuning systems
Develop reinforcement learning systems
Develop model inferencing systems
Develop preference optimization systems
Create evaluation frameworks
Ensure safety at scale
Ensure reliability at scale
Ensure trust at scale
Interface agentic architectures
Allow AI systems to work together
Develop agent-to-agent communication protocols
Develop lifecycle management for agent sessions
Develop state management frameworks
Persist context across workflows
Design experimentation systems
Support multiple online experiments
Accelerate testing of bidding strategies
Learn from advertiser behavior
Design Agentic platform
Develop Agentic platform
Deliver low-latency advertiser experiences
Deliver secure advertiser experiences
Build scalable systems
Process millions of data points
Optimize for cost efficiency
Optimize resource utilization
Optimize token consumption
Optimize memory management
Develop conversational AI
Develop natural language interactions
Integrate AI-driven solutions
Identify root causes of operational issues
Eliminate root causes of operational issues
Proactively improve team operations
Proactively improve team tooling
Proactively improve team processes
Write high-quality code
Write maintainable code
Write clear documentation
Provide meaningful code reviews
How You'll Work.
Team & Collaboration
Collaborate with product managers; Collaborate with scientists; Collaborate with engineers; Collaborate with cross-functional teams
Full Job Description
Amazon's Sponsored Products and Brands is building the next generation of AI-powered advertiser controls that help millions of advertisers optimize their campaigns. We're looking for a Software Development Engineer II to join our Advertiser Controls team, where you'll design and build the bidding controls and recommendations that directly impact how advertisers create, optimize, and grow their business on Amazon. In this role, you'll own the development of three critical platform capabilities. First, you will build the AI engineering infrastructure that enables our bidding systems—developing systems for model fine-tuning, reinforcement learning, model inferencing and preference optimization, while creating evaluation frameworks that ensure safety, reliability, and trust at scale. Second, you will interface agentic architectures that allow AI systems to work together seamlessly, including agent-to-agent communication protocols for discovery, negotiation, and task handoff, lifecycle management for agent sessions, and state management frameworks that persist context across multi-step workflows. Third, you will design and build experimentation systems that support multiple concurrent online experiments, accelerating our team's ability to test new bidding strategies and learn from real advertiser behavior. As an SDE2, you'll work as an autonomous contributor. You will work backwards from advertiser needs—collaborating with product managers, scientists, and other engineers to understand business problems, then translating those into technical solutions. While you'll make independent decisions on implementation, you'll seek guidance from senior engineers and principals when facing complex architectural tradeoffs or ambiguous technical challenges where the business problem is clear but the path forward requires exploration. The work you do will have direct, visible impact. This infrastructure will power the AI systems that help a small business owner optimize their first ca
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