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Data/AI Engineer at Guidepoint | Toronto

GuidepointToronto, Ontario, Canada
Hybrid Full-time

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Experience Level

Senior

Qualifications

What You'll Do: Architect and Build Production Systems: Design, construct, and maintain scalable, low-latency backend services and APIs that deliver Generative AI features, from retrieval-augmented generation (RAG) pipelines to sophisticated agentic systems. Own the AI Application Lifecycle: Manage the complete lifecycle of AI-driven applications, including system design, development, deployment (CI/CD), monitoring, and optimization in production environments such as Databricks and Azure Kubernetes Service (AKS). Optimize RAG Pipelines: Persistently enhance retrieval and generation quality through strategies such as retrieval optimization (adjusting k-values, chunk sizes), implementing re-rankers, employing advanced chunking methods, and prompt engineering to mitigate hallucinations. Integrate Intelligent Systems: Create solutions that seamlessly integrate LLMs with our proprietary knowledge repositories, external APIs, and relevant data sources.

About the job

Join Guidepoint as a skilled Data/AI Engineer and become a vital part of our innovative AI team in Toronto. Our Technology Hub is at the forefront of developing a modern data infrastructure that empowers advanced analytics and promotes responsible AI practices. This strategic initiative is crucial to Guidepoint's vision of harnessing cutting-edge Generative AI and analytical capabilities to enhance our Next-Gen research enablement platform and data-driven products.

This role requires remarkable leadership and technical expertise to propel the creation of next-generation research enablement platforms and AI-enhanced data solutions. You will be responsible for designing and scaling Generative AI systems, including large language model (LLM) applications and intelligent research agents, while integrating responsible AI principles and top-tier MLOps practices. As a Senior AI/ML Engineer, you will play a key role in building scalable AI/ML functionalities using Databricks and other advanced tools across Guidepoint’s suite of offerings.

The Technology team at Guidepoint thrives on solving complex problems and enhancing user experiences. In alignment with our mission to make individuals, businesses, and the world smarter through personalized knowledge-sharing solutions, our engineering team is tackling challenges to refine internal application architectures and develop new AI-enabled products that optimize our service delivery.

This is a hybrid position based in Toronto. 

About Guidepoint

Guidepoint is dedicated to transforming how individuals and organizations access insights and knowledge. Our innovative technology solutions empower smarter decision-making through personalized knowledge-sharing, ensuring that our clients remain at the forefront of their industries.

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