Explore 5 Jobs at Guidepoint

Senior AI Engineer

Guidepoint

Toronto, Ontario, CA (Hybrid)

Posted 10 hours ago

The Senior AI Engineer will take AI prototypes into production and shape the architecture of Guidepoint’s research platform. Responsibilities include building and operating multi-agent workflows, production APIs, retrieval and evaluation systems, and deploying reliable AI services in the cloud. The role is hybrid in Toronto and partners with product, engineering, and compliance stakeholders.

Senior AI Engineer

Guidepoint

Toronto, Ontario, CA (Hybrid)

Posted 24 days ago

The Senior AI Engineer will build and productionize conversational AI systems that combine real-time voice and chat, LLM orchestration, retrieval, and evaluation infrastructure. The role includes owning services end-to-end, shaping architecture, tuning LLM pipelines, integrating AI and voice vendors, and establishing engineering practices in partnership with product and compliance stakeholders.

Senior Product Manager

Guidepoint

Toronto, Ontario, CA (Hybrid)

Posted 2 months ago

The Senior Product Manager owns product vision, strategy, roadmap, prioritization, and delivery across web, mobile, and MCP products. The role involves deeply understanding client workflows, applying AI capabilities to product problems, tracking product performance, and leading cross-functional delivery and product advocacy.

AI Engineer

Guidepoint

Toronto, Ontario, CA (Hybrid)

Posted 3 months ago

The AI Engineer will design, build, and operate production-grade generative AI applications and scalable backend systems, including RAG pipelines, agents, and research assistants. Responsibilities include managing the AI application lifecycle, improving retrieval and evaluation, implementing cloud infrastructure and LLMOps practices, and providing technical leadership and mentorship.

Senior Data/AI Engineer

Guidepoint

Toronto, Ontario, CA (Hybrid)

Posted 4 months ago

The Senior Data/AI Engineer will design, build, and operate scalable generative AI systems and backend services, including RAG pipelines, LLM applications, APIs, and research agents. The role owns AI application lifecycle and production operations, advances evaluation and LLMOps practices, and provides technical leadership while collaborating with product and business stakeholders.