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 synthesis
- Build Python APIs connecting agents to products and data
- Manage workflow state, memory, retries, and partial-failure recovery
- Define evaluations for accuracy, groundedness,



policy adherence, and cost
- Deploy AI services using containers, Kubernetes, Azure, and Databricks

Requirements:

- 8+ years software engineering experience, including 3+ years production AI
- Production experience designing and shipping agentic workflows
- Solid Python skills building APIs and backend services
- Cloud-native experience with containers, Kubernetes, CI/CD, and observability
- Experience with retrieval, vector databases, or large-scale search

Apply senior Python, orchestration, evaluation, and cloud deployment expertise to Guidepoint’s production AI systems in Toronto.

📌 Senior Multi-Agent AI Engineer (Toronto)
🏢 Guidepoint Global
📍 Toronto