AILanguageEngineer

The Conversational Shopping team is looking for a Language Engineer to contribute to efficiencies and innovation in its efforts to deliver a seamless, fluent, and multilingual experience for AI-assisted shopping. This is an opportunity to join the high-performing team behind Amazon's Generative AI shopping initiatives such as Amazon's AI Shopping assistant. Our objective is to make it easy for customers worldwide to find and discover the best products by providing comparisons, recommendations, and answers to specific product questions. This role is cross-functional, requiring collaboration across global product, design, science, and engineering teams. We are looking for candidates who are passionate about the intersection of language and technology and who are keen to use their technical abilities to develop automated, scalable solutions to challenges in the Large Language Model (LLM) space. Applying a combination of expertise in LLMs, coding, and linguistics (i.e., semantics, syntax, pragmatics), they will overcome complex problems in model evaluation, automation, and context engineering for multilingual agentic systems. In this role within the International Editorial team, the candidate will contribute to our evaluation-driven product development strategy, working in close collaboration with Language Editors, Product Managers, Applied Scientists, and Software Engineers on initiatives that drive editorial quality, speed, and consistency. They will design processes to facilitate the production of high-quality editorial data for evaluating and improving the AI Shopping experience in different languages. The candidate will also create and develop LLM-assisted editorial tools and automated annotations (e.g., LLM-as-a-judge) to support the humans-in-the-loop (HITL) work of the broader Editorial team. Additionally, they will define requirements for internal tooling by developing prototypes. They will be responsible for authoring, optimizing, and managing system prompts f