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 campaign and enable enterprise brands to manage millions in ad spend. You'll be building customer-facing products where your technical decisions translate directly into advertiser success and the products customers discover on Amazon.
Key job responsibilities
- Design and develop the Agentic platform using Gen AI/ML technologies to deliver low-latency, secure advertiser experiences
- Build scalable systems that process millions of data points and optimize for cost efficiency through resource utilization, token consumption, and memory management
- Develop conversational AI and natural language interactions for advertiser bidding guidance
- Collaborate with cross-functional teams to integrate AI-driven solutions across the advertising ecosystem
- Identify and eliminate root causes of operational issues with permanent fixes; proactively improve team operations, tooling, and processes
- Write high-quality, maintainable code with clear documentation
- Provide meaningful code reviews, mentor engineers, and train new teammates on system architecture and operations
What we're looking for:
- Passionate about Generative AI, Large Language Models, and their real-world applications
- Strong software engineering skills with experience in distributed systems and cloud technologies
- Creative problem-solver who thrives in ambiguity and loves tackling complex challenges
- Track record of delivering innovative solutions that drive business impact
- Enthusiasm for staying current with the rapidly evolving AI landscape
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 in analysis of large volume of data to drive analysis and to make decisions
- Strong technical fluency in Generative AI, including a deep understanding of large language models (LLMs), model fine tuning, prompt engineering, Reinforcement Learning from Human Feedback (RLHF), Retrieval-Augmented Generation (RAG), AI model trade-offs (e.g., model size, latency, cost, and output quality).
Preferred Qualifications
- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Master's degree or equivalent
- Proven experience shipping Gen AI-powered features at scale from pilot to production and a deep understanding of AI trust and safety considerations
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 you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. 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. As a total compensation company, Amazon's package may include other elements such as sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon offers comprehensive benefits including health insurance (medical, dental, vision, prescription, basic life & AD&D insurance), Registered Retirement Savings Plan (RRSP), Deferred Profit Sharing Plan (DPSP), paid time off, and other resources to improve health and well-being. We thank all applicants for their interest, however only those interviewed will be advised as to hiring status.
CAN, ON, Toronto - 114,800.00 - 191,800.00 CAD annually