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 (Toronto)
🏢 GuruLink
📍 Toronto