Company Description CartBuzz is a modern multi-vendor e-commerce platform designed to help businesses launch, manage, and scale online stores efficiently. The platform connects sellers, customers, and technology in a unified ecosystem that supports product management, secure payments, customizable storefronts, vendor dashboards, advanced analytics, and automated marketplace operations. With a strong emphasis on speed, reliability, and a clean user experience, CartBuzz enables vendors to expand their reach and grow revenue. By combining innovative software development with scalable marketplace infrastructure, the company serves startups, small businesses, and large enterprises alike. CartBuzz is focused on shaping the future of online commerce with intelligent, fast, and flexible marketplace technology.
Role Description This is a full-time, on-site AI Engineer role based in Amman, Jordan. The AI Engineer will design, develop, and deploy AI-driven solutions that enhance CartBuzz’s e-commerce platform, including recommendation systems, search optimization, and intelligent seller and buyer experiences. Responsibilities include building and training machine learning and deep learning models, integrating them into production systems, and collaborating with software engineers and product teams to deliver scalable, high-performance features. The role involves conducting experiments, evaluating models using appropriate metrics, and iterating based on real-world data and feedback. The AI Engineer will also contribute to code reviews, documentation, and best practices for AI and data-driven development.
Qualifications
- Strong foundation in Computer Science and Software Development, with experience building and deploying production-grade applications.
- Hands-on experience with Machine Learning and Deep Learning, including model training, fine-tuning, evaluation, and optimization.
- Practical experience with Natural Language Processing (NLP) and Large Language Models (LLMs), including conversational AI, Retrieval-Augmented Generation (RAG), and chatbot development.
- Experience working with multimodal models, such as Image-to-Text and Text-to-Image systems, is highly desirable.
- Proficiency in Python and experience with AI frameworks such as PyTorch, TensorFlow, Hugging Face, and scikit-learn.
- Familiarity with frameworks and tools such as LangChain, LlamaIndex, embeddings, and vector databases (Qdrant, Pinecone, Weaviate, or similar) is a plus.
- Experience building APIs and model-serving solutions using FastAPI or similar technologies.
- Experience working with cloud and containerized environments (GCP, AWS, Docker, Kubernetes) is beneficial.
- Bachelor’s degree or higher in Computer Science, Engineering, or a related technical field, with 2+ years of relevant AI or ML engineering experience.
- Strong analytical and problem-solving skills, with the ability to collaborate effectively in cross-functional teams.
- Willingness to work on-site in Amman, Jordan.
