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# Software Development Engineer, Personalization, Amazon Personalization

- **Company:** Amazon.com, Inc.
- **Location:** Irvine, CA, United States
- **Experience:** Experienced
- **Salary:** $143,700.0 - $194,400.0
- **Contract:** Internship / Graduate position
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Code Review, Computer Programming, Software Design Patterns, Distributed Systems, Graph Database, Information Retrieval, Knowledge-Based Systems, Pattern Recognition, Recommender Systems, Software Engineering, Prompt Engineering, Build Management, Information Technology, Production Code, Build Tools, Build Process, Virtual Agents, Software Coding, Software Version Control, Programming Languages
- **Published:** August 16, 2026
- **Apply:** https://dejobs.org/x/x/D3FEC558DB6E45DEA296AC92142499EC/job/

## About the Role

* 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 with knowledge graphs, vector databases, or information retrieval systems
 * Familiarity with LLM integration patterns, prompt engineering, or agentic AI frameworks, * 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

## Description

What if AI didn't just execute - it got smarter every time it finished a task? We're building a new system that gives AI the ability to learn from experience at scale. Not through retraining, but through memory. You'll be among the first engineers building it - shipping production code in your first week on a team that moves at startup speed with Amazon resources., As a Software Development Engineer II, you will solve technical challenges at the intersection of knowledge systems, real-time retrieval, and AI-powered intelligence. You'll play an active role in translating research ideas into production systems and build quick prototypes in partnership with Applied Scientists and engineering leadership. Specific responsibilities include:

 1. Design and build highly scalable distributed systems that capture, structure, and retrieve knowledge in real time across diverse data sources.
 2. Implement intelligent retrieval and ranking capabilities that match intent to relevant knowledge with sub-second latency.
 3. Create APIs and data models that enable AI systems to access structured memory across multiple contexts and domains.
 4. Develop and optimize pipelines for processing both real-time event streams and batch data into durable, retrievable knowledge representations.
 5. Build systems that respect temporal decay, relevance boundaries, and access controls to ensure knowledge stays current and appropriate.
 6. Collaborate with Applied Scientists to integrate novel approaches to knowledge extraction and pattern recognition into production infrastructure.
 7. Work on innovative solutions for cross-domain knowledge reconciliation - connecting insights that span different tools, teams, and workflows.
 8. Contribute to the development of feedback loops that allow the system to compound its value with every interaction it processes.

About the team

We're a new team within Amazon's Personalization organization, which pioneered recommendation systems at internet scale. Our focus is different: not "what product should this customer see" but "what knowledge should this AI use right now." We're building a foundational capability that will change how hundreds of thousands of people work - giving AI persistent, compounding memory that improves with every interaction.

The team values builders who move fast, ship constantly, and are energized by solving problems that don't have established playbooks. We offer creative space with an entrepreneurial environment and a culture where everyone is a leader and owner for everything we do.


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