Software Engineer II — Generative AI for Same-Day Delivery

Amazon

Factoria (WA)

On-site

USD 144,000 - 194,000

Full time

22 hours ago
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Benefits offered by this job

Health insurance
401(k) matching
Paid time off
Parental leave

Job summary

Amazon is seeking a Software Engineer to advance the Same Day Delivery Experience team. You will design, build, and scale AI-powered tools using LLMs, RAG, and prompt engineering to deliver a fast, reliable, and grounded customer experience across shopping, buying, and post-purchase stages.

You will prototype agentic AI capabilities, optimize retrieval and embedding pipelines, and collaborate on scalable ML architectures for the Same Day Delivery network.

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

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 deep into complex technical problems spanning LLM application development, data interpretation, and demand planning systems.

Skills

Software development
System design
Programming languages

Education

Bachelor's degree in computer science

Job description

Amazon is seeking a Software Engineer to advance the Same Day Delivery Experience team. You will design, build, and scale AI-powered tools using LLMs, RAG, and prompt engineering to deliver a fast, reliable, and grounded customer experience across shopping, buying, and post-purchase stages.

You will prototype agentic AI capabilities, optimize retrieval and embedding pipelines, and collaborate on scalable ML architectures for the Same Day Delivery network.

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