Software Development Engineer- GENAIML Amazon Catalog Services teamLevel 5

Amazon Selection and Catalog Systems (ASCS) builds the systems that host and run the worlds largest ecommerce product catalog. Within this organization the Starfish Studio Model Services (SSMS) team is redefining prompt experimentation metadata refinement and LLM evaluation to improve Amazon product catalog data quality automation and workflow efficiency. We focus on reinforcement learning automation and AIdriven experimentation to build a unified hub for optimizing prompt generation and catalog enrichment at scale.

Key Job Responsibilities
As a Software Development Engineer (SDE) in SSMS you will develop distributed systems powered by LLMs and multimodal ML models to enhance prompt experimentation metadata refinement and catalog enrichment. Build GenAIdriven solutions that improves prompt quality and automation. Design AIdriven workflows for both structured/unstructured data to enhance prompt engineering and LLM evaluation. Partner with scientists and AI experts to integrate cuttingedge advancements in Generative AI LLM reinforcement learning and automation. Develop systems that reduce operational friction and streamline workflow integrations for prompt testing metadata refinement and reinforcement learningbased improvements.

The ideal candidate will have distributed systems highscale software service design and implementation and agile/continuous software delivery experience. You are a Software Development Engineer who enjoys owning software services is customercentric and values delivering software with high quality.


Key job responsibilities
As a Software Development Engineer (SDE) in SSMS you will develop distributed systems powered by LLMs and multimodal ML models to enhance prompt experimentation metadata refinement and catalog enrichment. Build GenAIdriven solutions that improves prompt quality and automation. Design AIdriven workflows for both structured/unstructured data to enhance prompt engineering and LLM evaluation. Partner with scientists and AI experts to integrate cuttingedge advancements in Generative AI LLM reinforcement learning and automation. Develop systems that reduce operational friction and streamline workflow integrations for prompt testing metadata refinement and reinforcement learningbased improvements.

The ideal candidate will have distributed systems highscale software service design and implementation and agile/continuous software delivery experience. You are a Software Development Engineer who enjoys owning software services is customercentric and values delivering software with high quality.

About the team
We are seeking a rock star Software Engineer to help us build a suite of AIpowered services using the latest technologies that impact systems across the Amazon catalog. Our customers span all Amazon retail businesses Search Personalization and services that rely on highquality metadata and prompt optimization. Ultimately our work ensures that AIdriven prompt experimentation and metadata refinement improve catalog accuracy automation and datadriven decisionmaking.

Do you enjoy working on highimpact highvisibility AI applications Have you ever wondered about the practical challenges of optimizing prompt experimentation and LLM evaluation At Starfish Studio we are innovating new ways to automate prompt generation refine metadata and enhance reinforcement learning techniques to improve catalog quality at scale. As the Amazon catalog continuously evolves we are driving the next generation of AIdriven enrichment and automation to enhance customer experience and operational efficiency.

We are among the few teams at Amazon that routinely dedicate time to research prototyping and experimentation. We are a passionate group of AI enthusiasts excited about Generative AI and solving largescale challenges using LLMs. Come join the fun!

3 years of noninternship professional software development experience
2 years of noninternship design or architecture (design patterns reliability and scaling) of new and existing systems experience
Experience programming with at least one software programming language

3 years of full software development life cycle including coding standards code reviews source control management build processes testing and operations experience
Bachelors degree in computer science or equivalent

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race national origin gender gender identity sexual orientation protected veteran status disability age 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 for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129300/year in our lowest geographic market up to $223600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on jobrelated knowledge skills and experience. Amazon is a total compensation company. Dependent on the position offered equity signon payments and other forms of compensation may be provided as part of a total compensation package in addition to a full range of medical financial and/or other benefits. For more information please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.