AmazonPosted 3mo ago

SDE III, WW Speed & AI Tech, Same Day Delivery - LLM & Agentic workflows

SDE III, WW Speed & AI Tech, Same Day Delivery - LLM & Agentic workflows at Amazon scores 63 out of 100 on AI centrality, which makes it AI Level 3 of 4 (Works on AI) on this board. The level measures how much of the work is AI, not seniority.

US, WA, Bellevuemidfull-time$168k-$227k

AI in this role

prompt-engineeringragai-agentsfine-tuningnlp

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 deep into complex technical problems spanning LLM application development, data interpretation, and demand planning systems
Raising the bar for operational excellence and development practices.

Key job responsibilities

Developing and maintaining key features of our systems and services
Working with team members on design approaches and prototyping new technology
Working on product improvements, with focus on customer experience and scalability
Dive deep into complex technical problems
Raising the bar for operational excellence and development practices

Basic qualifications

- 5+ years of non-internship professional software development experience
- 5+ years of programming with at least one software programming language experience
- 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience as a mentor, tech lead or leading an engineering team

Preferred qualifications

- 5+ 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 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. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.

USA, WA, Bellevue - 168,100.00 - 227,400.00 USD annually

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

Prompt EngineeringRagAI AgentsFine TuningNlp

Questions you could be asked

How do you structure and test a prompt to get consistent output from a language model?
How would you design a retrieval step so the model answers from real data instead of guessing?
How do you decide when an AI agent can act on its own versus asking for approval first?
Walk me through fine-tuning a model: what data did you use, and how did you check the result?
What NLP problem have you worked on, and how did you measure whether it actually worked?

Adapt your resume

List these exact terms on your resume: Prompt Engineering, Rag, AI Agents, Fine Tuning, and Nlp. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
Show where AI is part of your daily process, not a one-off project — this role expects it to be a running habit.

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