Build document intelligence solutions in Toronto using multimodal models, OCR, semantic retrieval, and production-focused software engineering.

This Staff AI Engineer develops systems that extract, interpret, and structure complex documents, including PDFs, tables, drawings, and technical documentation. The position combines Generative AI with vector databases, automated validation, evaluation frameworks, and AWS deployment. It is engineered for production rather than research.

Key Responsibilities

Develop document extraction and interpretation solutions

Build semantic search using embeddings and vector databases

Combine OCR, multimodal models, and structured outputs

Design benchmark datasets and automated evaluation

Optimize inference costs, latency, caching, and scalability

Requirements

Seven-plus years of software engineering experience

Five-plus years deploying AI/ML systems into production

Experience with OCR, multimodal LLMs, or document intelligence

Experience with Pinecone, Qdrant, Weaviate, or pgvector

Knowledge of validation, regression testing, and monitoring

Use document intelligence, semantic retrieval, and reliable production engineering to advance AI capabilities across Toronto software products.

📌 Staff Document Intelligence Engineer (Winnipeg)
🏢 GuruLink
📍 Winnipeg