Software Development Engineer, Customer Experience and Business Trends

Amazon is hiring a Software Development Engineer, Customer Experience and Business Trends in Arlington, United States. It pays $144k-$194k a year and Level rates it ; you can apply on Level.

Level's read on this job

On Level's scale, this software engineer role is Builds AI ●●●●: the job is building AI systems.
The posting mentions React, AWS and LLMs among its tools and skills.
Level classes it as a mid-level role.
Amazon has 22,000+ other open roles on Level.

AI in this role

Build full-stack AI-native tools and multi-agent systems at Amazon, using LLMs and RAG to accelerate internal product development workflows.

reactawsllmsgit

prompt-engineeringragcomputer-visionfull-stackretrieval-augmented-generationagentic-workflowssoftware-engineering

We're looking for an SDE II to join a team building AI-native tools that help tens of thousands of Amazon builders work backwards from customer needs. This is your opportunity to build software that shapes how product teams across Amazon approach ideation and development, making it easier to build products customers love.

You'll work alongside experienced engineers and scientists to build and improve features across our full stack: front-end experiences built with modern web frameworks, and backend services that power multi-agent AI systems. You'll participate in the full software development lifecycle (scoping, design, implementation, testing, deployment, and operational support) and iterate based on real user feedback in a team that values speed and learning.

We're looking for someone who has hands-on experience with AI on both sides: using AI-powered tools to write and improve code, and building systems that leverage AI to solve customer problems. You should be comfortable working with large language models, prompt engineering, and retrieval-augmented generation, whether that means integrating AI capabilities into applications or using AI to accelerate your own development workflow. This dual fluency (using AI and building with AI) is core to how our team works.

The team operates with startup-like autonomy, ships often, and learns from users. You'll lead the team through hands-on generative AI application development at scale. If you're a strong software engineer who is excited about leading teams to build AI-powered products that change how Amazon builds products, we want to hear from you.

Key job responsibilities
- Design, implement, test, and deploy software components across our full-stack applications, including front-end web experiences and backend services
- Write clean, well-tested, production-ready code that others can maintain and extend
- Collaborate with team members on technical design, code reviews, and problem-solving, incorporating feedback to continuously improve code quality
- Work with product management and UX design to understand customer requirements and translate them into technical implementations
- Partner closely with Applied Science to apply best practices for building generative AI applications, including prompt engineering, retrieval systems, and agent-based architectures
- Contribute to planning, design, implementation, testing, operations, and process improvement
- Actively coach other engineers on the team and ensure the best engineering practices are adopted across the team.

About the team
Customer Experience and Business Trends (CXBT) is an organization made up of a diverse suite of functions dedicated to deeply understanding and improving customer experience, globally. We are a team of builders that develop products, services, ideas, and various ways of leveraging data to influence product and service offerings – for almost every business at Amazon – for every customer (e.g., consumers, developers, sellers/brands, employees, investors, streamers, gamers).

Our approach is based on determining the customer need, along with problem solving, and we work backwards from there. We use technical and non-technical approaches and stay aware of industry and business trends. We are a global team, made up of a diverse set of profiles, skills, and backgrounds – including: Product Managers, Software Developers, Computer Vision experts, Solutions Architects, Data Scientists, Business Intelligence Engineers, Business Analysts, Risk Managers, and more.

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 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

Preferred qualifications

- 3+ 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, VA, Arlington - 143,700.00 - 194,400.00 USD annually
USA, WA, Seattle - 143,700.00 - 194,400.00 USD annually

How we rate this

Software Development Engineer, Customer Experience and Business Trends 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.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

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

Key facts

Software Development Engineer, Customer Experience and Business Trends is an open job at Amazon.
Level rates this role AI Level 4 of 4: Builds AI.
The listed salary is $144k-$194k a year.
The role is based in US, VA, Arlington.
The job was posted on September 17, 2026.
Seniority: mid.
Applications are handled by Amazon. Apply on Amazon

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Prompt engineeringRAGComputer visionFull StackRetrieval Augmented GenerationAgentic WorkflowsSoftware EngineeringReact

Also common in software engineer jobs at this level

Python AWS Machine learning AI agents Kubernetes TypeScript

Pay

This job starts at: $144k
Typical software engineer job: $168k

This posting starts 14% below the typical software engineer job. See software engineer jobs

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?
Walk me through a computer vision problem you solved, from raw data to a deployed model.
Tell me about a project where full stack was part of your work. What did you do?
Tell me about a project where retrieval augmented generation was part of your work. What did you do?

Adapt your resume

List these exact terms on your resume: Prompt engineering, RAG, Computer vision, Full Stack, and Retrieval Augmented Generation. 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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