Join Guidepoint as an AI Engineer specializing in Generative AI in Toronto. Lead the creation of advanced AI solutions that transform data into actionable insights. This hybrid position is part of Guidepoint’s Toronto Technology Hub, aimed at developing cutting-edge research enablement platforms. The ideal AI Engineer will possess in-depth software engineering expertise, particularly with large language models, and extensive experience in creating production-grade systems.

Your role will emphasize improving AI application life cycles and monitoring capabilities. Key Responsibilities:

- Develop low-latency backend services to support AI operations
- Manage the full application lifecycle from design to deployment
- Enhance RAG pipelines for optimized retrieval strategies




- Integrate LLMs with proprietary and real-time data
- Collaborate on LLMOps and performance monitoring best practices Requirements:
- Bachelor’s degree with 6+ years or Master’s with 4+ years experience
- Robust Python skills and backend architecture experience
- Cloud application deployment expertise, preferably on Azure
- 2+ years of LLM application development
- Familiar with data processing platforms like Databricks Leverage your technical acumen to innovate and lead within Guidepoint’s engineering team.

📌 AI Engineer: Generative AI Focus at Guidepoint (Toronto)
🏢 Guidepoint
📍 Toronto