Job Description
We are growing! We are currently looking to hire a AI Engineer (GenAI, LLMs & Computer Vision) to work with us remotely
Who we are:
Founded in 2006, we’re proud to be a global business. From Shanghai to Paris, we have 12 offices and operate across four continents in 70 countries. We are home to over 250 professionals from around the world, working together to serve more than 230 luxury clients.
At CXG, we love to evolve, elevate, and transform experiences while bringing brand promises to life. We offer strategic solutions that impact performance and elevate the customer experience of some of the world’s most iconic premium and luxury brands.
What you will be doing:
Designs, develops, and deploys end-to-end artificial intelligence systems with a focus on generative AI, large language models, and computer vision. Owns the full AI lifecycle independently—from data preparation and model development to packaging, serving, scaling, and monitoring models in production. Builds scalable AI solutions such as chatbots, copilots, predictive systems, intelligent automation, and vision-based applications, leveraging Snowflake as part of the data and analytics environment.
Your duties will also involve:
- Artificial Intelligence, Machine Learning, and Deep Learning
- Generative AI and Large Language Models (LLMs)
- Prompt engineering, fine-tuning, and model evaluation
- Computer Vision (image classification, object detection, OCR)
- NLP, neural networks, and predictive modeling
- Python and AI/ML frameworks (TensorFlow, PyTorch, Hugging Face, LangChain, LlamaIndex)
- Packaging, serving, and scaling models using APIs, microservices, and batch or real-time inference architectures
- Retrieval-Augmented Generation (RAG)
- Snowflake (data modeling, analytics, and AI integrations)
- Model deployment, monitoring, and optimization (MLOps)
- Cloud platforms and AI APIs
- Ability to work independently and take full ownership of AI solutions end to end
What you will bring along:
The ideal experience range for this role is 2 to 3 years.
Strong hands-on experience in AI, Machine Learning, and Deep Learning in production use cases
Practical experience working with Generative AI and Large Language Models (LLMs)
Experience in prompt engineering, fine-tuning, and evaluating LLM-based solutions
Solid background in Computer Vision (image classification, object detection, OCR)
Experience with NLP, neural networks, and predictive modeling
Strong programming skills in Python and experience with frameworks such as TensorFlow, PyTorch, Hugging Face, LangChain, or LlamaIndex
Experience building AI applications such as chatbots, copilots, automation tools, or vision-based systems
Knowledge of Retrieval-Augmented Generation (RAG) architectures
Experience packaging and serving models using APIs, microservices, and real-time or batch inference
Experience working with data platforms such as Snowflake
Understanding of model deployment, monitoring, and optimization (MLOps)
Familiarity with cloud platforms and AI service APIs
Ability to work independently and own AI solutions end to end, from data preparation to production deployment
