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Added 1 month ago
NF
Network Security Engineer
Nature Fresh Farms
Leamington, ON
- $70,000 to $100,000 CAD / year
- Full-time
We are currently looking to fill a full-time, permanent position for a Network Security Engineer in our Information Technology Department at our Leamington office.
Added 1 month ago
Associate, Data Engineer
BMO
Toronto, ON · FCP
We are seeking a skilled and motivated Data Engineer to join our Data Cognition Team at BMO Capital Markets. In this role, you will design, build, and maintain robust data infrastructure…
Added 1 month ago
AM
IP Silicon Firmware Engineer
Advanced Micro Devices, Inc
Markham, ON
- Full-time
The AMD NBIO Team is on the lookout for a dynamic, upbeat Firmware Engineer to join our growing team, focused on High-Speed I/O (HSIO) and Data Transfer IPs. As a key contributor to the…
Added 1 month ago
AM
Silicon Design Engineer - Technical Lead
Advanced Micro Devices, Inc
Markham, ON
- Full-time
Experience with scripting/automation languages like Python/Perl
Added 1 month ago
AM
IP Silicon Firmware Engineer
Advanced Micro Devices, Inc
Vancouver, BC
- Full-time
The AMD NBIO Team is on the lookout for a dynamic, upbeat Firmware Engineer to join our growing team, focused on High-Speed I/O (HSIO) and Data Transfer IPs. As a key contributor to the…
Added 1 month ago
AM
Senior Physical Design Engineer
Advanced Micro Devices, Inc
Markham, ON
- Full-time
As a Design Engineer, you will be working with a diverse team of physical design engineers, RTL design engineers, and managers from NBIO IP team. You will drive physical implementation of…
Added 1 month ago
QP
Senior Cloud Systems Engineer
QuadReal Property Group
Vancouver, BC · Toronto, ON
- Full-time
The Senior Cloud Systems Engineer role is to ensure the stability, integrity, and efficient operation of the cloud-based and in-house information systems that support core organizational…
Added 3 months ago
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AI Scientist & Engineer, Assurance Innovation Lab
BDO
London, ON · Toronto, ON · Ottawa, ON · Oakville, ON · Kitchener, ON · Markham, ON · Vancouver, BC
- Full-time
We are looking for an exceptionally skilled, hands-on, and innovation-minded AI Scientist & Engineer to bridge the gap between advanced data science, experimental machine learning, and…
Added 3 months ago
Sr Guidewire Developer -PolicyCenter
Aviva
Markham, ON
As a Senior Guidewire PolicyCenter Developer, you will be responsible for the design, configuration, and development of PolicyCenter solutions that support Aviva’s core policy lifecycle.…
Added 1 month ago
AW
Senior Delivery Consultant - Connect and Lex, Amazon Connect Center of Delivery Excellence
Amazon Web Services (AWS)
Toronto, ON
- Full-time
5+ years of experience as a contact center technology architect, enterprise IT Architect or senior contact center developer working with leading contact center technology platforms and…
Added 1 month ago
PA
AI Research Engineer, Computer Vision & VLMs
Palona AI
Toronto, ON
- Full-time
We are looking for an AI Research Engineer with a strong research background in computer vision and vision-language models (VLMs) to develop the visual intelligence behind Palona’s…
Added 1 month ago
Q
FY27 Intern - Compute DSP/AI Processor Engineering Internship - Canada (16 months)
Qualcomm
Markham, ON
- Full-time
…industries and enrich lives. Under the supervision of an experienced engineer, the intern will contribute to design, verification, and modelling of ASIC HW IP (blocks) and sub-systems that…
Added 1 month ago
Q
Machine Learning Engineer, AI Processors (New Grad to Engineer Level)
Qualcomm
Markham, ON
- Full-time
We are seeking a talented Machine Learning Engineer to join the Qualcomm AI Processor Solutions team, where you will help develop next-generation AI applications for Qualcomm Snapdragon…
Added 1 month ago
IS
Senior Machine Learning / AI Engineer
INETCO Systems Ltd.
Vancouver, BC
- Full-time
We are looking for a Senior Machine Learning / AI Engineer to help design, build, test and deploy machine learning and AI-based systems for our BullzAI product line.
Added 5 months ago
AA
Python Backend Engineer (AI & Scalable Systems)
Apex Align Agency
Remote, Canada
- $110,000 to $145,000 USD / year
- Full-time
- Remote
We are looking for a strong Python Backend Engineer who can design and build scalable, production-grade backend systems across AI, automation, and cloud-native environments.
Added 5 months ago
A
Full-Stack Engineer - Production Planning
Afresh
Ontario
- $114,000 to $174,000 CAD / year
- Full-time
Backend/Data: Python, PostgreSQL, GraphQL, DBT, or Databricks.
Added 2 months ago
R&D Project Manager
Cyclic Materials Inc.
Kingston, ON
This position is ideal for a metallurgist or chemical/process engineer who has moved beyond purely technical execution and can lead multidisciplinary R&D workstreams with clear scope,…
Added 3 months ago
CI
Lead Engineer, Total Fund Management Financing, Public Markets Technology
CPP Investments | Investissements RPC
Toronto, ON
- Full-time
As a Lead Software Engineer, Total Fund Management, Financing, you will provide hands-on technical leadership for the design, development and delivery of modern, cloud-native applications…
Added 3 months ago
S
Senior ML Research Engineer, Virtual Cell
SandboxAQ
Remote, Canada
- $125,800 to $222,000 CAD / year
- Full-time
- Remote
As a Machine Learning Engineer on AQCell, you will build and maintain the models and data infrastructure that power this pipeline. You will work across large, heterogeneous transcriptomic…
Added 2 months ago
AI Engineer
Guidepoint
Toronto, ON
Guidepoint seeks an experienced AI Engineer as an integral member of the Toronto-based AI team. The Toronto Technology Hub serves as the base of our Data/AI/ML team, dedicated to building a…
Added 1 month ago
W
Staff Systems Engineer - Safety Methodologies
Waabi
Toronto, ON
- $200,000 to $256,000 USD / year
- Full-time
…are seeking a passionate and experienced safety or systems engineer to spearhead the development and implementation of critical safety framework methods that underpin our driverless…
Added 1 month ago
M
Senior Software Engineer
Mastercard
Vancouver, BC
- Full-time
The Business Rules Engineering & Strategy team is looking for a Senior Software Engineer to drive forth our mission of building robust IBM ODM Rule solutions that provide transaction-level…
Added 1 month ago
W
Senior / Staff Software Engineer, AI Tech Strike Team
Waabi
Toronto, ON
- $165,000 to $265,000 USD / year
- Full-time
Strong proficiency in Python (or another common programming language), and comfort working across modern build systems, CI/CD pipelines, and developer infrastructure.
Added 5 months ago
T
Data Engineer
Tactable
Toronto, Ontario
- Full-time
…intersection of infrastructure, pipelines, and product. As a Data Engineer, you’ll be part of a deeply technical team solving real-world data challenges for enterprise clients building…
Added 2 months ago
Senior Security Engineer, AI & DevSecOps
Atlas HXM
Canada
We are seeking a forward-thinking Senior Security Engineer, AI & DevSecOps to help shape the future of secure AI adoption across the organization.

Guidepoint

AI Engineer

Toronto, ON, Canada

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Job details

Experience: Production AI Application Experience: 2+ years of experience building applications that leverage large language models from providers like OpenAI, Anthropic, or Google Gemini.
Posting language: English
Posted: Aug 18, 2026

Original job description

Overview:

Guidepoint seeks an experienced AI Engineer as an integral member of the Toronto-based AI 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 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 AI-driven data products. You will develop and scale Generative AI-powered systems, including large language model (LLM) applications and research agents, while ensuring the integration of responsible AI and best-in-class MLOps. The AI/ML Engineer will be a primary contributor to building scalable AI/ML capabilities using Databricks and other state-of-the-art tools 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:

Architect and Build Production Systems: Design, build, and operate scalable, low-latency backend services and APIs that serve Generative AI features, from retrieval-augmented generation (RAG) pipelines to complex agentic systems.
Own the AI Application Lifecycle: Own the end-to-end lifecycle of AI-powered applications, including system design, development, deployment (CI/CD), monitoring, and optimization in production environments like Databricks and Azure Kubernetes Service (AKS).
Optimize RAG Pipelines: Continuously improve retrieval and generation quality through techniques like retrieval optimization (tuning k-values, chunk sizes), using re-rankers, advanced chunking strategies, and prompt engineering for hallucination reduction.
Integrate Intelligent Systems: Engineer solutions that seamlessly combine LLMs with our proprietary knowledge repositories, external APIs, and real-time data streams to create powerful copilots and research assistants.
Champion LLMOps and Engineering Best Practices: Collaborate with data science and engineering teams to establish and implement best practices for LLMOps, including automated evaluation using frameworks like LLM Judges or MLflow, AI observability, and system monitoring.
Evaluate and Implement AI Strategies: Systematically evaluate and apply advanced prompt engineering methods (e.g., Chain-of-Thought, ReAct) and other model interaction techniques to optimize the performance and safety of proprietary and open-source LLMs.
Mentor and Lead: Provide technical leadership to junior engineers through rigorous code reviews, mentorship, and design discussions, helping to elevate the team's engineering standards.
Influence the Roadmap: Partner closely with product and business stakeholders to translate user needs into technical requirements, define priorities, and shape the future of our AI product offerings.

What You Have:

Experience: A Bachelor’s degree in Computer Science, Engineering, or a related technical field with 6+ years of professional experience; or a Master’s degree with 4+ years of professional experience in backend software engineering and Generative AI. This must include a proven track record of designing, building, and scaling distributed, production-grade systems.
Strong Software Engineering Fundamentals: Deep expertise in Python, a major backend framework (e.g., FastAPI, Flask), and asynchronous programming (e.g., asyncio). Proficiency in designing RESTful APIs, microservices, and the complete operational lifecycle, including comprehensive testing, CI/CD (e.g., ArgoCD), observability, monitoring, alerting, maintaining high uptime, and executing zero-downtime deployments.
Cloud & Infrastructure Proficiency: Hands-on experience deploying and managing applications on a major cloud platform (Azure preferred, AWS/GCP acceptable) using containerization (Docker) and orchestration (Kubernetes, Helm).
Production AI Application Experience: 2+ years of experience building applications that leverage large language models from providers like OpenAI, Anthropic, or Google Gemini. Direct experience with modern LLM patterns such as retrieval-augmented generation (RAG), hybrid search using vector databases (e.g., Pinecone, Elasticsearch), multi-agent AI systems with tool calls, and prompt engineering is required.
AI System Design and Evaluation: Experience designing and implementing robust evaluation frameworks for LLM-based systems, including rubric-based scoring, LLM Judges, or using tools like MLflow, alongside monitoring for performance and drift.
Large-Scale Data Processing: Familiarity with large-scale data processing platforms and tools (e.g., Databricks, Apache Spark).
Familiarity with the Modern AI Stack: Practical experience with libraries and frameworks like LangChain or LlamaIndex for building LLM-powered applications.
Leadership and Mentorship: Demonstrated ability to lead complex technical projects and foster the growth of other engineers.

What We Offer:

The annual base salary range for this position is $135,000 - $210,000. Additionally, this position is eligible for an annual discretionary bonus based on performance.

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

Guidepoint's Interview Process:

We respect your time and aim to keep the process transparent and efficient. Our Talent Acquisition team members act as advisors throughout the process and help ensure everything runs smoothly so you have a seamless candidate experience. Our goal is to make sure this is a mutual fit for both you and our teams.

Talent Acquisition Screen (Virtual, 30 minutes)
Hiring Manager Interview (Virtual, 1 hour)
Live Coding & System Design Test (On-site, 2 hours)
Technical Leadership Interview (Virtual, 1 hour)
Reference Checks (3 professional references)
Offer

About Guidepoint:

Guidepoint powers end-to-end research workflows for the world’s best research teams.

Backed by a global network of more than 2 million experts and over 1,600 employees, Guidepoint delivers real-time access to expertise, primary research, and actionable knowledge that help organizations make informed decisions. Through consultations, surveys, events, proprietary content, and AI-enabled tools, we support every stage of the decision-making process - from developing hypotheses and gathering insights to validating assumptions and building conviction for critical decisions.

At Guidepoint, our success relies on the diversity of our employees, experts, and clients, which enables us to foster meaningful connections and a broad range of perspectives. We are committed to creating an inclusive and welcoming environment where individuals of all backgrounds, identities, and experiences can contribute and succeed.

This job post is for a live vacancy. Base salary may vary depending on job-related knowledge, skills, and experience, as well as geographic location.

Compensation

$135,000 - $210,000 CAD

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More about this job

Responsibilities

Architect and build scalable production systems and APIs to serve Generative AI features and RAG pipelines. Lead the end-to-end AI application lifecycle, including deployment, monitoring, and the implementation of LLMOps best practices.

Requirements

Requires a Bachelor's or Master's degree with 4-6+ years of experience in backend software engineering and Generative AI. Must have proven expertise in Python, cloud infrastructure (Azure preferred), and building production-grade LLM applications.

Skills

Python
Generative AI
LLM
RAG
FastAPI
Kubernetes
Azure
Databricks
MLOps
PyTorch
LangChain
LlamaIndex
Vector Databases
System Design
CI/CD
Asynchronous Programming

Benefits

Paid Time Off
Comprehensive Benefits Plan
Company RRSP Match
Development Opportunities Through LinkedIn Learning

Visa sponsorship

Not detected in the job text

Keywords

Generative AI
Large Language Models
LLM
RAG
Retrieval-Augmented Generation
Databricks
Azure
Kubernetes
Docker
FastAPI
Flask
Asyncio
MLflow
LangChain
LlamaIndex
Pinecone
Elasticsearch
Apache Spark
CI/CD
ArgoCD
LLMOps
Prompt Engineering
Chain-of-Thought
ReAct
Microservices
RESTful APIs
Vector Databases
AI Observability
System Design
Distributed Systems

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