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Software Development Engineer, Amazon Shopping

Amazon is hiring a Software Development Engineer, Amazon Shopping in Seattle, United States. It pays $165k-$224k a year and Level rates it ; you can apply on Amazon.

Level's read on this job

  • Builds AI ●●●● is how Level rates this software engineer role: the job is building AI systems.
  • The listed pay starts close to the typical software engineer posting on Level.
  • Tools and skills the posting cites include vLLM, Large Language Models and software development.
  • Level lists 20,000+ other open roles at Amazon.
  • The role was posted within the past two weeks.

AI in this role

Software Development Engineer to architect and build large language model-powered conversational and agentic shopping applications.

vLLMLarge Language Models
software-developmentdistributed-systemsapi-developmentagentic-ai
We're enhancing the shopping experience on Amazon through the conversational capabilities of large language models, and we're looking for innovative professionals who are passionate about technology and customer experience. You'll have the opportunity to contribute meaningfully to the industry while working alongside talented scientists, engineers, and technical program managers (TPMs) to create solutions that serve our customers.
If you're excited about collaborating with a dynamic team and contributing to this evolving field, we'd love to have you join us on this journey!

Key job responsibilities
We're looking for an experienced Software Development Engineer with expertise in back-end system and online service to architect, design, and develop agentic services and applications powered by large language model.
In this role, you will build expertise in online service architecture, API development, and distributed systems that power responsive agentic AI applications at scale. You'll get opportunities to develop service orchestration patterns, efficient agent frameworks, and real-time processing systems, partnering with engineers and scientists in a fast-paced environment to deliver exceptional user experiences. You'll also contribute to our technical roadmap, service reliability metrics, and optimizations focused on building intelligent agents that can effectively reason, plan, and execute complex tasks on behalf of users.
In this role, you'll help establish best practices that improve LLM application efficiency, enable new agentic AI features for Stores customers with LLM capabilities. You'll work with your team to design, implement large scale distributed agentic AI applications at scale, partnering with technical and business leaders in a collaborative environment to create value for our customers. You'll also contribute to prioritization, estimation, and sprint planning activities.

About the team
The charter of the Amazon Shopping Team is to improve shopping on Amazon using the conversational capabilities of large language models. We are working on an AI-first initiative to further improve the way we do search using large-scale foundation models. These foundation models are also used in downstream applications by various partner teams in Amazon Stores. Our goal is to build large language models (LLMs), which can empower conversational applications and facilitate online shopping.

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
- 1+ years of software development engineer or related occupational experience
- 1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience
- 1+ years of Object Oriented Design experience
- Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field
- Experience programming with at least one software programming language

Preferred qualifications

- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Experience building or operating LLM-powered agent systems (tool use, ReAct loops, multi-step orchestration)
- Experience with agent evaluation frameworks — offline evaluation, LLM-as-Judge, composite scoring, or quality measurement at scale.
- Experience hosting or serving large language models at scale (model deployment, inference optimization, GPU cluster management, vLLM/TensorRT)

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

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, CA, Palo Alto - 165,200.00 - 223,600.00 USD annually
USA, WA, Seattle - 143,700.00 - 194,400.00 USD annually

How we rate this

Software Development Engineer, Amazon Shopping at Amazon rates 85 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

Software DevelopmentDistributed SystemsAPI DevelopmentAgentic AIvLLMLarge Language Models

Also common in software engineer jobs at this level

Pay

This job starts at
$165k
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. Tell me about a project where software development was part of your work. What did you do?
  2. Tell me about a project where distributed systems was part of your work. What did you do?
  3. Tell me about a project where api development was part of your work. What did you do?
  4. Tell me about a project where agentic ai was part of your work. What did you do?
  5. Walk me through how you've used vLLM in your day-to-day work.

Adapt your resume

  • List these exact terms on your resume: Software Development, Distributed Systems, API Development, Agentic AI, and vLLM. 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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