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

Amazon is hiring an SDE III, WW Speed & AI Tech, Same Day Delivery - LLM & Agentic workflows in Bellevue, United States. It pays $168k-$227k a year and Level rates it ; you can apply on Amazon.

Level's read on this job

  • On Level's scale, this software engineer role is Builds AI ●●●●: the job is building AI systems.
  • Pay on this posting starts in line with the typical software engineer posting on Level.
  • The posting mentions LLMs, Vector databases and Python among its tools and skills.
  • Level classes it as a senior role.
  • Amazon has 20,000+ other open roles on Level.

AI in this role

Design and scale LLM-powered tools, RAG architectures, and agentic workflows for Amazon's Same Day Delivery experience.

LLMsVector databasesPython
prompt-engineeringragai-agentsfine-tuningnlpagentic-workflowsnatural-language-processingsoftware-development
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

How we rate this

SDE III, WW Speed & AI Tech, Same Day Delivery - LLM & Agentic workflows at Amazon rates 90 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Prompt engineeringRAGAI agentsFine-tuningNLPAgentic WorkflowsNatural Language ProcessingSoftware Development

Also common in software engineer jobs at this level

Pay

This job starts at
$168k
Typical software engineer job
$167k

This posting starts close to the typical software engineer job. See software engineer jobs

Questions you could be asked

  1. How do you structure and test a prompt to get consistent output from a language model?
  2. How would you design a retrieval step so the model answers from real data instead of guessing?
  3. How do you decide when an AI agent can act on its own versus asking for approval first?
  4. Walk me through fine-tuning a model: what data did you use, and how did you check the result?
  5. 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.
  • Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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