Build production AI systems with Python and multi-agent workflows at Guidepoint’s hybrid Toronto office. Shape reliable research technology for global expert networks.
As a hands-on Senior AI Engineer, you will move prototypes into production across agent design, evaluation, APIs, and cloud deployment. Guidepoint’s applied AI platform combines conversational AI, retrieval, structured data, and proprietary knowledge assets. You will collaborate with product, engineering, and compliance stakeholders while shaping architecture as the product grows.

Key Responsibilities

Design multi-agent workflows with planning, delegation, and result synthesisBuild Python APIs connecting agents to products and dataManage workflow state, memory, retries, and partial-failure recoveryDefine evaluations for accuracy, groundedness,



policy adherence, and costDeploy AI services using containers, Kubernetes, Azure, and DatabricksRequirements:
8+ years software engineering experience, including 3+ years production AIProduction experience designing and shipping agentic workflowsStrong Python skills building APIs and backend servicesCloud-native experience with containers, Kubernetes, CI/CD, and observabilityExperience with retrieval, vector databases, or large-scale searchApply senior Python, orchestration, evaluation, and cloud deployment expertise to Guidepoint’s production AI systems in Toronto.

📌 Senior Multi-Agent Ai Engineer (Canada)
🏢 Guidepoint Global
📍 Canada