Software Development Engineer

Amazon is hiring a Software Development Engineer in New York, United States. It pays $158k-$214k a year and Level rates it ; you can apply on Amazon.

Level's read on this job

Level rates this software engineer role Works on AI ●●●○: the daily work is on AI products, without building the model.
Tools and skills the posting cites include Copilot, prompt engineering and LLM integration.
Level classifies it as a mid-level role.
Level lists 21,000+ other open roles at Amazon.
The role was posted in the last few days.

AI in this role

copilot

prompt-engineeringllm-integrationai-agents

The SPB Agent platform is the AI reasoning layer behind Amazon Ads — powering agentic experiences that autonomously guide millions of advertisers, sellers, and sales teams with personalized, data-backed intelligence across the Ads Console, Seller Central, and Next Gen Selling. You'll design and deliver generative AI systems that reason over campaign performance, make autonomous decisions on behalf of sellers, and deliver hyper-personalized advertising guidance at massive scale.

Experiences powered by the platform include AI Campaign Overview (a dynamic widget that adapts its narrative in real time based on performance data), AI Companion for Selling Partners (a personalized assistant that provides guidance and executes actions on behalf of sellers), and AI for Sales Teams (an intelligent copilot grounded in each advertiser's objectives and guardrails). You'll work at the intersection of large language models, distributed systems, and advertising — collaborating with AI researchers and engineers to shape how businesses connect with customers through AI.

What Makes This Role Stand Out
- The AI is the product — you're not adding AI to an existing tool; you're building the reasoning platform that powers multiple agentic products across Amazon Ads
- Ships to millions — advertisers, sellers, and sales teams worldwide interact with the experiences your platform powers
- Frontier AI stack — LLMs, agent-based architectures, autonomous decision-making, real-time personalization at massive scale
- Greenfield agentic architecture — designing how AI agents reason, act, and explain themselves in an advertising context

Key job responsibilities
- Design and develop the SPB Agent platform — a secure, reusable, low-latency architecture that integrates generative AI/ML technologies to deliver consistent, well-reasoned advertiser guidance across multiple products
- Deliver features end to end across the agentic AI stack, from LLM integration and prompt engineering to distributed serving infrastructure and real-time personalization
- Optimize operational costs at scale through efficient resource utilization, token consumption management, and memory footprint reduction
- Collaborate with AI researchers, scientists, and cross-functional teams to integrate AI-driven solutions across the Ads Console, Seller Central, and sales tools
- Build scalable systems that process millions of data points to deliver hyper-personalized advertising experiences with low latency
- Develop new approaches to conversational AI and natural language interactions in advertising contexts, translating research into production-quality features
- Mentor peers through design reviews and code reviews, contributing to engineering quality as the platform scales

About the team
The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond. We are at the forefront of re-inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights. We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace. If you're energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising.

The SPB Agent team builds and operates the agentic AI platform behind multiple advertiser-facing and seller-facing AI experiences across Amazon Ads. We work closely with AI researchers and engineers to push the boundaries of what autonomous, personalized advertising guidance can look like at Amazon scale.

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
- 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
- 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, NY, New York - 158,100.00 - 213,800.00 USD annually

How we rate this

Software Development Engineer at Amazon rates 63 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

●●●● 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. Read the description and count the AI tools, models and workflows it names.

Key facts

Software Development Engineer is an open job at Amazon.
Level rates this role AI Level 3 of 4: Works on AI.
The listed salary is $158k-$214k a year.
The role is based in US, NY, New York.
The job was posted on October 27, 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 engineeringLLM IntegrationAI agentsCopilot

Also common in software engineer jobs at this level

Python AWS TypeScript Kubernetes React Machine learning

Pay

This job starts at: $158k
Typical software engineer job: $167k

This posting starts 5% 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 have you integrated a large language model into a production application?
How do you decide when an AI agent can act on its own versus asking for approval first?
What's a project where you used Copilot hands-on?
Describe a typical day in a role like this one: which parts run through AI directly?

Adapt your resume

List these exact terms on your resume: Prompt engineering, LLM Integration, AI agents, and Copilot. 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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