ResponsibilitiesBuild a scalable information grounding service that provides grounding evidence to multiple Amazonian experiences. Grounding large language models (LLMs) ensures that their interactions with users are informed, relevant, consistent, and trustworthy. It ensures accuracy and relevance by providing context-specific responses and mitigating the risk of generating false information through techniques like Retrieval-Augmented Generation (RAG). Grounding allows LLMs to adapt to rapid information changes without constant retraining, maintaining up-to-date and reliable outputs. This is accomplished by linking the models' outputs to verifiable sources of information retrieved from public web sources (e.g., WebIR) and other structured data sources (e.g., knowledge graphs, local databases). Grounding LLMs involves two main steps: (1) providing relevant evidence from knowledge sources for the customer query and packing it into the LLM context window, and (2) optimizing LLMs (e.g., SFT, RLHF) to use this evidence appropriately, minimizing irrelevance or hallucinations.Design & write code: Write code primarily in Java and design scalable, fault-tolerant and distributed applications running on AWS. Leverage state-of-the-art AWS resources in the development of a scalable web grounding service for LLM-based applications.Test, test, test: Our software engineers write unit tests, integration tests and regression tests and automate them where possible.Troubleshoot and fix operational problems: You will work with systems engineers to troubleshoot operational problems and fix them. You may automate troubleshooting procedures and write tools, and you may interact with customers to understand their needs in their space.Influence product direction: You will propose ideas for the future of the space to product management and help shape the roadmap.Hire and mentor others: You will interview candidates for the team and mentor other engineers.BASIC QUALIFICATIONS3+ years of non-internship professional software development experience2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experienceExperience programming with at least one software programming languagePREFERRED QUALIFICATIONS3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experienceBachelor’s degree in computer science or equivalentAmazon 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.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,300/year in our lowest geographic market up to $223,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on 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 https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
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