Experienced AI Engineer Position in Agentic AI, Answer Engines, and Computer Vision University of Waterloo in Canada

Experienced AI Engineer opportunity at the University of Waterloo in Canada, posted by Azhar Quddus, Vice President of AI and Research.

This is a mid-senior industry-style role for engineers with 3–5 years of applied AI/ML experience and a strong background in Computer Science or Electrical Engineering. The team is looking for candidates who can build production-ready AI systems and contribute across one of three specialized research-to-product tracks: Agentic AI orchestration, Dynamic RAG / Answer Engines, or Advanced Computer Vision.

Research and technical focus areas include multi-agent workflows, tool calling, MCP-based integrations, GraphRAG, multi-hop reasoning, hybrid retrieval, reciprocal rank fusion, cross-encoder reranking, scene text recognition, OCR, vision-language models, PyTorch, and OpenCV. The role emphasizes turning AI concepts into scalable, maintainable production systems in Python.

Eligibility highlights: MS/PhD in CS/EE, strong machine learning foundations, data structures and algorithms, Python proficiency, and demonstrated ability to move from prototyping to deployment. Deep expertise in at least one of the listed tracks is required.

Funding: not specified in the post. Deadline: not specified. Application: no formal portal is provided; interested candidates should review the LinkedIn post and reach out via the announcer’s LinkedIn profile.