Retrieval Augmented Generation Jobs in Toronto, ON

Solid understanding of knowledge retrieval patterns including RAG (Retrieval-Augmented Generation), with familiarity of emerging approaches like KAG (Knowledge-Augmented Generation) and CAG (Cache ...

Design, build, and operate scalable, low-latency backend services and APIs that serve Generative AI features, from retrieval-augmented generation (RAG) pipelines to complex agentic systems. * Own the ...

Design, build, and operate scalable, low-latency backend services and APIs that serve Generative AI features, from retrieval-augmented generation (RAG) pipelines to complex agentic systems. * Own the ...

Develops and supports AI Agents leveraging Large Language Models (LLMs), Retrieval Augmented Generation (RAG), Model Context Protocol (MCP) servers, tool-calling frameworks and enterprise knowledge ...

Implement Retrieval Augmented Generation (RAG), prompt engineering, model evaluation, and AI workflow automation patterns to support scalable production solutions * Develop reusable application ...

Applies knowledge of large language models, machine learning, deep learning, retrieval-augmented generation, prompt engineering, model evaluation and data governance to guide delivery decisions.

Design and implement machine learning models, NLP, LLM-powered applications, retrieval-augmented generation (RAG), prompt engineering, and other AI techniques to improve user experience and insights ...

Implement Retrieval Augmented Generation (RAG), prompt engineering, model evaluation, and AI workflow automation patterns to support scalable production solutions * Develop reusable application ...

Deep knowledge of retrieval-augmented generation (RAG), agentic frameworks, context and memory management, and tool/skills integration patterns. * Strong understanding of large language model ...

Design and build conversational AI, retrieval-augmented generation, intelligent knowledge experiences, and agentic workflows that improve service, productivity, and decision-making * Develop trusted ...

Design and build conversational AI, retrieval-augmented generation, intelligent knowledge experiences, and agentic workflows that improve service, productivity, and decision-making * Develop trusted ...

Design and implement Generative AI solutions, including Retrieval-Augmented Generation (RAG) systems, LLM-powered agents, and NLP pipelines * Provide technical leadership and mentorship to team ...

Hugging Face Transformers, prompt engineering, post-training/fine-tuning pipelines, retrieval-augmented generation (RAG), and agentic AI frameworks. Experience with inference optimization and high ...

Build LLM-based solutions, including AI agents, Retrieval-Augmented Generation (RAG), and multi-step workflows. Develop and integrate RESTful APIs and backend services. Collaborate with cross ...

Develop and integrate AI services such as LLM-powered APIs, retrieval-augmented generation (RAG) pipelines, and agent orchestration logic into secure, production-grade environments * Design and ...

Lead the design and development of innovative machine learning architectures involving zero-shot/few-shot learning, retrieval-augmented generation (RAG), embeddings, and neural networks.

Design and build enterprise AI applications that leverage Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI agents, and workflow automation to improve business processes.

Build systems including LLM-powered copilots, agentic workflows, retrieval-augmented generation pipelines, and predictive models * Own the full lifecycle from data sourcing and model development to ...

... Retrieval-Augmented Generation (RAG) architectures Strong understanding of vector embeddings, semantic search and prompt engineering Experience working with PostgreSQL and pgvector Google Cloud ...

Knowledge or hands-on experience with Deep Learning architectures and Generative AI (e.g., LLMs, building Retrieval-Augmented Generation (RAG) pipelines). Retail Domain Expertise: Previous experience ...