Oshawa, ON (Hybrid / Remote) 4+ Years Experience Posted 2026-08-20
Role 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 tasks
Implement robust evaluation frameworks, guardrails, and latency optimization for real-time AI responses
Collaborate with enterprise clients to translate unstructured data challenges into high-value AI solutions
Qualifications & Requirements Deep understanding of transformer architectures, attention mechanisms, and embedding spaces
Proficiency with Python, PyTorch, FastAPI, and modern AI SDKs (OpenAI, Anthropic, HuggingFace)
Hands-on experience deploying vector search and semantic retrieval pipelines at enterprise scale
Robust background in data privacy, zero-leakage enterprise security, and prompt safety
Executive equity package Full health & dental GPU cloud compute allowance Global conferences