AI Language Engineer, Rufus LangEn

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 Amazons Generative AI shopping initiatives such as Amazons 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 for multilingual customer-facing LLM systems. Drawing on data processing and analysis skills they will evaluate and report on model performance and annotation quality producing regular reports for stakeholders. By creating and synthesizing quality metrics they will also support Conversational Shopping teams in delivering both internal stakeholder requirements and the desired Amazon customer outcomes.

This role requires strong analytical and technical skills as well as experience in language technology to help us measure analyze and solve complex problems. The ideal candidate should have experience in creating technical solutions for automating and processing data workflows at scale while upholding the highest linguistic quality standards. They should also have exceptional writing and communication skills with the ability to interface between both technical and non-technical teams.

Key job responsibilities
- Develop LLM-as-a-judge systems to support Human-in-the-loop evaluations
- Automate operations and perform data analysis using scripting languages (e.g. Python)
- Author optimize and manage system prompts for multi-lingual customer-facing LLM systems
- Integrate API calls into Retrieval Augmented Generation (RAG) systems
- Evaluate model performance and annotation quality to produce reports for stakeholders
- Produce process and manipulate different types of language data
- Contribute to defining platform requirements for internal tooling by developing prototypes
- Raise the quality bar on editorial workflows and SOPs through standardization documentation and periodic audits and investigations
- Support processes and mechanisms to onboard and upskill Editors and AI Tutors on an ongoing basis
- Support editorial data production and collection by defining project scope with internal teams
- Design implement and refine control mechanisms metrics and methodologies to ensure editorial and annotation quality
- Collaborate with editors applied scientists engineers and product managers to deliver an optimal customer experience by defining metrics guidelines and workflows
- Deliver across parallel workstreams balancing timelines impact and stakeholder requirements

- Bachelors or Masters Degree in Applied Linguistics Computational Linguistics Natural Language Processing (NLP) or related field.
- Experience with Large Language Models NLP or Machine Learning.
- Experience with Python libraries for data analysis such as pandas and scikit-learn.
- Ability to navigate a Unix terminal and use common command line tools.
- Familiarity with AI coding assistants.
- Excellent communication and strong organizational skills with a keen eye for details.
- Comfortable working in a fast-paced cross-functional and dynamic work environment.
- Willingness to support several projects at one time and to accept reprioritization as necessary.

- PhD in Applied Linguistics Computational Linguistics Natural Language Processing (NLP) or related technical field.
- This position will work in English. Fluency in a second language preferred but not required: Portuguese or Turkish (most favourable) French German Italian Spanish or Japanese.
- Experience with SQL and Git.
- Experience building RAG or agentic systems.
- Experience conducting quantitative analysis.
- Experience building data pipelines.
- Experience with AWS services (Bedrock S3 EC2 etc.).
- Knowledge of user experience concepts and methods.
- Familiarity with online retail (e-commerce).

Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover invent simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( to know more about how we collect use and transfer the personal data of our candidates.

Amazon 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 for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.