AI/ML Engineer

Guidepoint; Toronto; Hybrid; CAD 80,000 - 120,000; Full time

Job summary

A leading research enablement platform is seeking an experienced AI/ML Engineer to join their hybrid team in Toronto. In this role, you will design LLM-powered solutions, develop evaluation frameworks, and work with data engineers to implement best practices. The ideal candidate will have over 4 years of experience, expertise in Generative AI applications, and strong proficiency in Python and Databricks. This position offers opportunities for professional growth and a collaborative environment.

Benefits

Paid Time Off

Company RRSP Match

Development opportunities

Qualifications

• 4+ years of related experience in AI development.
• Proven experience with Generative AI applications.
• Strong technical proficiency in Python and Azure.

Responsibilities

• Design and implement LLM-powered solutions for data analytics.
• Develop AI evaluation frameworks and monitoring systems.
• Collaborate with teams for best practices in LLMOps.

Skills

Generative AI application design

Python

Databricks

Azure

Kubernetes

NLP-based modeling

Collaboration and communication

Education

Bachelor’s degree in relevant field

Tools

GenAI Pipelines

Mosaic AI

LangChain

HuggingFace

Apache Spark

Job description

Overview

Guidepoint seeks an experienced AI/ML Engineer as an integral member of the Toronto-based Data team. The Toronto Technology Hub serves as the base of our Data/AI/ML team, dedicated to building a modern data infrastructure for advanced analytics and the development of responsible AI.

This is a hybrid position based in Toronto.

What You’ll Do

• Design and implement LLM-powered solutions such as retrieval-augmented generation (RAG) pipelines, build, scale, and optimize GenAI and ML workloads across Databricks and other production environments, focusing on cost-efficiency, compliance, and reliability
• Develop robust AI evaluation frameworks and monitoring systems for continuous model assessment, including rubric-based scoring and human-in-the-loop validation
• Implement AI agents capable of handling complex queries and delivering insights from structured and unstructured data sources
• Build ML pipelines to train, serve, and monitor supervised, reinforcement, and LLM-based models using Databricks and MLflow
• Explore strategies such as fine-tuning, few-shot learning, and prompt engineering to adapt open-source and proprietary LLMs
• Collaborate with data engineering and data science teams to establish best practices for LLMOps, observability, and responsible AI integration
• Contribute to the architecture of intelligent systems that combine GenAI with real-time data, APIs, and domain-specific tools
• Partner with product and client services teams to define priorities and align AI capabilities with business outcomes

What You Have

• 4+ years of related experience with a Bachelor’s degree; or 3+ years with a Master’s degree; or 1+ year with a PhD
• Proven experience designing and deploying Generative AI/LLM applications (e.g., ASR Models, GPT-4, Gemini, Claude, open-weight models)
• Hands-on expertise with Gen AI Pipelines, retrieval-augmented generation, embeddings-based search, agent orchestration, and prompt chaining
• Familiarity with modern LLM/GenAI frameworks (Mosaic AI, LangChain, LlamaIndex, HuggingFace, Semantic Kernel, LangGraph)
• Strong technical proficiency in Python, Databricks, Azure, FastAPI, Kubernetes
• 4+ years of hands-on industry experience in AI application development
• Proven ability to design AI evaluation pipelines, LLMOps, and monitoring frameworks for production-grade LLM/ML systems
• Demonstrated leadership in building and scaling applied AI/ML systems for real-world use cases
• Excellent collaboration and communication skills across engineering, product, and business teams
• Familiarity with Delta Lake, Unity Catalog, and large-scale data processing with Apache Spark
• Knowledge of personalization techniques, NLP-based modeling, and applied ML for user experience optimization
• Experience with fine-tuning LLMs and embedding models for domain-specific tasks
• Understanding of responsible AI practices, including explainability, compliance, and bias mitigation

Benefits

• Paid Time Off
• 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 1.75 million experts, and Guidepoint’s 1,600 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.

We are an equal opportunity employer. If you require accommodation during the interview process, please let us know.