Software Development Engineer, Personalization, Amazon Personalization

Amazon.com Services LLC; Seattle (WA); On-site; USD 144,000 - 194,000; Full time

Benefits offered by this job

Sign-on payments

Restricted stock units (RSUs)

Health insurance (medical, dental, and

401(k) matching

Paid time off

Parental leave

Job summary

Amazon.com Services LLC is seeking engineers to design and build real-time services that use large language models to extract structured knowledge from natural language and deliver it across Amazon surfaces. You will help create reliable AI infrastructure to handle model unpredictability, latency spikes, and drift, ensuring a high-quality customer experience.

The role involves developing pipelines that transform millions of signals daily into retrievable data stores, collaborating with Applied

Qualifications

• 3+ years of non-internship professional software development experience.
• Experience designing or architecture of new and existing systems (reliability and scaling).
• Experience developing and deploying LLMs in production on GPUs/TPU or related AI acceleration hardware.

Responsibilities

• Design and build services that use large language models to extract structured knowledge from natural language and serve it in real time across Amazon’s surfaces.
• Build reliable infrastructure around AI systems to handle hallucinations and latency spikes for a great customer experience.
• Develop pipelines that process millions of signals daily into durable, retrievable data stores.
• Create monitoring and evaluation frameworks for AI outputs, including automated quality measures and human-in-the-loop validation.
• Collaborate with Applied Scientists to take models from research to production.
• Build customer-facing feedback loops where real-world corrections improve system quality.
• Ship fast and incrementally, owning the full lifecycle from infrastructure to alarms to on-call.

Skills

Software development

LLM deployment

Knowledge graphs

Education

Bachelor’s degree in computer science or equivalent

Tools

GPUs/TPUs

Cloud infrastructure

Job description

What if Amazon knew not just what you like, but what your partner is into, what to get your mom for her birthday, and what toy your dog will actually play with? We're working on that.

You’ll work at the intersection of large language models and real-time personalization, solving problems that are genuinely open and at a scale very few teams get to work on. We have the foundation shipped; now we need to go deeper.

Key job responsibilities

1. Design and build services that use large language models to extract structured knowledge from natural language and serve it in real time across Amazon’s biggest customer surfaces.
2. Build reliable infrastructure around AI systems that are inherently unpredictable, handling hallucinations, latency spikes, and model drift so customers always get a great experience.
3. Develop pipelines that process millions of customer signals daily into durable, retrievable, personalized data stores.
4. Create monitoring and evaluation frameworks for AI outputs where traditional testing doesn’t apply, including automated quality measurement and human-in-the-loop validation.
5. Collaborate with Applied Scientists to take models from research to production, owning the path from prototype to scaled deployment.
6. Build customer-facing feedback loops where real-world corrections compound system quality over time.
7. Ship fast and incrementally, owning the full lifecycle from infrastructure to alarms to on-call.

About the team

We are Amazon’s Customer360 Personalization team. We build the system that understands every important person in a customer’s life and personalizes Amazon for each of them individually. We identify what customers care about from signals across all of Amazon and curate it into personalized experiences for every person in their life. Our engineers are hyper-productive, leveraging AI daily to accelerate their own work while building systems that overcome AI’s limitations at scale. The team values builders who take full ownership of what they ship, move fast, ask for help early, and care more about customer outcomes than technical elegance.

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
• Experience programming with at least one software programming language
• Experience in developing and deploying LLMs in production on GPUs, Neuron, TPU or other AI acceleration hardware, or experience designing or architecting (design patterns, reliability and scaling) of new and existing systems
• Experience with knowledge graphs, vector databases, or information retrieval systems

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

Amazons 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

• sign-on payments
• restricted stock units (RSUs)
• 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
• parental leave

Learn more about our benefits at https://amazon.jobs/en/benefits.

USA, WA, Seattle - 143,700.00 - 194,400.00 USD annually