Oshawa, ON (Hybrid / Remote) 4+ Years Experience Posted 2026-08-20Role Overview
Lead the architecture and implementation of cutting-edge generative AI, enterprise RAG systems, autonomous agent workflows, and fine-tuned foundational models for our global client portfolio.Core Responsibilities
Design and deploy scalable RAG pipelines using LangChain, LlamaIndex, and vector databases (Pinecone, pgvector)Evaluate, fine-tune, and optimize open-source and proprietary LLMs for domain-specific tasksImplement robust evaluation frameworks, guardrails, and latency optimization for real-time AI responsesCollaborate with enterprise clients to translate unstructured data challenges into high-value AI solutionsQualifications &
Requirements
Deep understanding of transformer architectures, attention mechanisms, and embedding spacesProficiency with Python, PyTorch, FastAPI, and up-to-date AI SDKs (OpenAI, Anthropic, HuggingFace)Hands-on experience deploying vector search and semantic retrieval pipelines at enterprise scaleStrong background in data privacy, zero-leakage enterprise security, and prompt safetyExecutive equity package Full health & dental GPU cloud compute allowance Global conferences