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

Solid background in data privacy, zero-leakage enterprise security, and prompt safety

Executive equity package Full health & dental GPU cloud compute allowance Global conferences

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