SDE II, Same Day Delivery
Amazon - Bellevue, Washington, USA
Posted May 4, 2026
Benefits
- Parental leave
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- Non-birth-parent leave
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- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
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- Relocation assistance
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- Childcare support
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- Learning budget
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- Verification
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- Salary
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- 401(k) match
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Schedule
- Shift type
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- Weekend work
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Application
- Cover letter
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- Assessment
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- Deadline
- Not stated
Where they hire
State eligibility is not yet verified.
About this role
SDE II, Same Day Delivery Bellevue, Washington, USA Are you interested in helping Amazon make history and redefine the meaning of 'fast' in eCommerce? We are the Same Day Delivery Experience team and are in the early innings of reinventing the Amazon shopping experience to make Amazon the first place customers think to shop when they need something today, wherever they are in the world. We're looking for a Software Engineer for the Same Day Delivery Experience team to help ensure we have a compelling and friction-free 'delivery in hours' experience available to our customers, and help drive continuous innovation and improvement of the delivery experience across all phases of shopping, buying, and pre and post purchase experience. This role is at the forefront of Generative AI innovation within the Sub-Same Day organization. As part of the LLM Foundations team, you will design, build, and scale AI-powered tools that leverage Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Natural Language Processing (NLP), prompt engineering, and agentic AI workflows to enhance customer experience and protect. Key job responsibilities: Designing and building AI-powered tools leveraging LLMs, RAG architectures, vector databases, prompt engineering, and agentic orchestration for customer-facing and internal applications. Developing and optimizing retrieval pipelines, embedding models, and context-augmented generation systems to deliver accurate, grounded AI outputs. Prototyping and iterating on new Agentic AI capabilities including fine-tuning, few-shot learning, chain-of-thought reasoning, and tool-use patterns Working with team members on design approaches for scalable AI/ML systems that serve the Same Day Delivery network. Diving
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