AI Engineer

Overview:

Guidepoint seeks an experienced AI Engineer as an integral member of the Toronto-based Data/AI team. The Toronto Technology Hub will serve as the base of our new Data/AI team, dedicated to building a modern data infrastructure for advanced analytics and the development of responsible AI. This strategic investment is integral to Guidepoint’s vision for the future, aiming to develop cutting-edge Generative AI and analytical capabilities that will underpin Guidepoint’s Next-Gen research enablement platform and data products.

This role demands exceptional leadership and technical prowess to drive the development of next-generation research enablement platforms and advanced data products leveraging latest trends in LLMs, MLOps and ML more broadly. The AI Engineer is a member of an ensemble team of inter-disciplinary specialists and will be a primary contributor to developing AI/ML capabilities using Databricks across all of Guidepoint’s products.

Guidepoint’s Technology team thrives on problem-solving and creating happier users. As Guidepoint works to achieve its mission of making individuals, businesses, and the world smarter through personalized knowledge-sharing solutions, the engineering team is taking on challenges to improve our internal application architecture and create new AI-enabled products to optimize the seamless delivery of our services.

This is a hybrid position based in Toronto.

What You'll Do:

• Develop LLM-powered solutions such as RAG architectures on proprietary knowledge repos, querying unstructured data with natural language, and content generation
• Build, integrate and scale LLM-based applications into business workflows across a variety of domains
• Collaborate with data engineering and ML teams to innovate and establish best practices for MDLC and LLM evaluation frameworks
• Collaborate with the product and client services teams to define priorities and influence product roadmap
• Mentor junior AI/ML engineers, guiding them in building a modern AI infrastructure and developing responsible AI solutions

 What You Have:

• 4+ years of related experience with a Bachelor’s degree; or 2+ years and a Master’s degree
• Experience with the latest techniques in natural language processing including vector databases, fine-tuning LLMs, RAG, and deploying LLMs with tools such as HuggingFace, Langchain, and OpenAI
• Extensive software engineering skills building enterprise platforms and handling large datasets
• Highly proficient in Python, Javascript and other programming languages
• Familiarity with Databricks is a nice to have
• Proven leadership skills, a strategic mindset, and a passion for driving innovation in AI
• Experience or knowledge of working in a compliance-based environment, including building and deploying compliant software solutions throughout the software life cycle
• Exceptional stakeholder management and communication skills to effectively communicate across global teams

You will also be eligible for the following benefits:

• Paid Time Off
• Comprehensive benefits plan
• Company RRSP Match
• Development opportunities through the LinkedIn Learning platform

About Guidepoint:

Guidepoint is a leading research enablement platform designed to advance understanding and empower our clients’ decision-making process. Powered by innovative technology, real-time data, and hard-to-source expertise, we help our clients to turn answers into action.

Backed by a network of nearly 1.5 million experts and Guidepoint’s 1,300 employees worldwide, we inform leading organizations’ research by delivering on-demand intelligence and research on request. With Guidepoint, companies and investors can better navigate the abundance of information available today, making it both more useful and more powerful.

At Guidepoint, our success relies on the diversity of our employees, advisors, and client base, which allows us to create connections that offer a wealth of perspectives. We are committed to upholding policies that contribute to an equitable and welcoming environment for our community, regardless of background, identity, or experience.

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