Deliver AI Innovation in Compliance at Amazon
Join a team building the future of automated compliance in the product space. Your work will directly impact Amazons ability to serve customers and partners safely and efficiently across the globe.
We have a unique challenge to overcome: use ML and LLMs at the scale of Amazon. As a software development engineer you will develop scalable LLM infrastructure that can be used to process billions of documents and images each year in a cost efficient way.
The ideal candidate will be eager to work in a team of innovators and contribute to a suite of tools that power automating and scalable content processing with the end goal of providing Amazon shoppers and sellers with a frictionless and trustworthy shopping and selling experience. You will be working in an Agile mode collaborating with product management and partner teams to iterate at a fast pace and delight our end users.
Key job responsibilities
Your key responsibilities will include:
1 designing developing and maintaining microservices and Sage maker ML/LLM endpoints hosted in AWS;
2 adding new frontend features to existing tools;
3 improving performance and operational costs;
4 researching solutions for technically ambiguous problems;
5 mentoring other engineers.
About the team
Compliance Shared Services (CoSS) vision is to provide bestinclass automation of controls for internal compliance and business programs (our primary customers) to lower costs in the Amazon flywheel on behalf of our end customers: buyers and selling partners. We provide easytouse shared services with data privacy security and tenant isolation across all stages while continuously raising industry standards for automation performance and cost efficiency giving our program customers confidence that they have access to optimal costefficient automation options to better serve their end customers.
3 Years experience (noninternship) in professional software development
Experience designing or architecting (design patterns reliability and scaling) of new and existing systems
Experience programming with at least one software programming language
Bachelors degree in computer science or equivalent
Experience with full software development life cycle including coding standards code reviews source control management build processes testing and operations
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