We are seeking an AI Engineer to join our Data & AI team and contribute to the development and continuous improvement of our AI Validation platform.
Who we are:
Founded in 2006, CXG is a global customer experience company uniquely positioned at the intersection of data-driven retail performance, customer experience transformation, and operational execution across 200+ luxury brands worldwide.
The mission of our 270 team members is to help brands transform customer and employee experiences through tailored insights, strategy, and implementation.
We are passionate about delivering impact.
Our clients include the world’s most admired luxury houses, and our solutions combine research, technology, and human expertise to elevate every customer interaction.
What will your role be:
This role focuses on evaluating, deploying, monitoring, and optimizing AI models used to process and analyze multilingual content. Given the nature of the project, a deep understanding of both Mandarin Chinese and English language nuances is critical. Therefore, native-level proficiency in Mandarin Chinese and advanced proficiency in English are mandatory.
The ideal candidate combines strong AI engineering skills with a pragmatic, production-oriented mindset and is passionate about delivering reliable and measurable AI solutions.
What you will be doing:
AI Development & Deployment
- Develop, deploy, and maintain AI-powered applications and services.
- Integrate and operationalize machine learning and generative AI models.
- Monitor model performance, quality, and reliability in production.
- Troubleshoot and resolve issues related to AI systems and model outputs.
- Continuously improve model performance through testing, evaluation, and optimization.
AI Validation & Quality Assurance
- Contribute to the development of the AI Validation platform.
- Evaluate AI-generated outputs for accuracy, consistency, and linguistic quality.
- Design and implement validation methodologies and evaluation metrics.
- Benchmark different AI models and approaches.
- Analyze model failures and recommend improvements.
Collaboration
- Work closely with Data Scientists, Data Engineers, and business stakeholders.
- Translate business requirements into scalable AI solutions.
- Document technical solutions and best practices.
Requirements
Technical Skills
- Advanced proficiency in Python.
- Strong proficiency in SQL.
- Solid experience with Git and collaborative software development practices.
- Hands-on experience deploying and maintaining machine learning or generative AI models in production.
- Experience working with Large Language Models (LLMs) and modern AI frameworks.
- Sound understanding of model evaluation, testing, and performance monitoring.
Language Skills (Mandatory)
- Native-level Mandarin Chinese.
- Advanced English.
- Ability to assess linguistic quality and cultural nuances across both languages.
Professional Attributes
- Strong analytical and problem-solving skills.
- Attention to detail and commitment to quality.
- Ability to work independently and collaboratively in a fast-paced environment.
- Excellent communication skills.
Nice to Have
- Familiarity with Snowflake.
- Experience with dbt and Airflow.
- Experience with RAG architectures, agent-based systems, or AI evaluation frameworks.