Gen AI Architect

Responsibilities Experience: 7 years in AI development/architecture, with a focus on Generative AI and large-scale deep learning systems. Technical skills: LLMs and Generative Models: Proven expertise in LLMs (customization, fine-tuning), Retrieval-Augmented Generation (RAG), and other generative models like GANs and Diffusion Models. Programming: Proficient in Python and deep learning frameworks like PyTorch or TensorFlow. NLP: Advanced understanding of modern NLP techniques, such as transformer models and tokenization. Cloud: Extensive experience with cloud platforms (AWS, Azure, GCP) and their respective AI/ML services (e.g., SageMaker, Vertex AI). MLOps & Infrastructure: Experience with MLOps practices and building high-availability, low-latency systems using containers (Docker, Kubernetes) and microservices. Monitor and increase the performance of RAG system. Understand the basics of RAG and how to validate its output. Determine how to increase the accuracy of RAG. Identify general tools/techniques that will be used on the back for retrieving/generating the data.

Location: Toronto, Ontario, CA

Posted Date: 11/17/2025