Jobs in Canada

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Added 3 months ago
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Staff AI Engineer
Maple
Toronto, ON
- Full-time
We're looking for a Staff AI Engineer to help our engineering teams build, evaluate, and scale AI features across the product - and set the bar for what great looks like.
Added 3 months ago
MH
Senior Full-Stack Automation Engineer - Gravity
MedMe Health
Remote, Canada
- $115,000 to $176,000 CAD / year
- Full-time
- Remote
Hey, I’m Ichwan, Engineering Manager at MedMe Health. I lead the Gravity pod within our engineering department.
Added 3 months ago
GD
Senior Project Engineer - Systems Engineer
General Dynamics Missions System International
Ottawa, ON
- $110,000 to $135,000 CAD / year
- Full-time
Are you ready to steer a talented team of engineers toward success? We are currently looking for a Project Engineer with leadership skills to play a driving force behind cutting-edge…
Added 2 months ago
Machine Learning Engineer, Safety and Customer Care AI
Lyft
Toronto, ON
Lyft considers working in the office at least 3 days per week to be an es
Added 2 months ago
AI and Data - Manager - AI Engineer
EY
Toronto, ON
To qualify for the role, you must have
Added 4 months ago
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Applied AI, Technical Lead, Forward Deployed AI Engineer
Mistral
Montreal, Quebec
- Full-time
…in a technical leadership role (e.g., Tech Lead, Engineering Manager, Staff Engineer or Solutions Architect) focused on AI products or enterprise…
Added 2 months ago
TC
Machine Learning Engineer - Express Scripts Canada
The Cigna Group
Mississauga, ON
- Full-time
- Other
Express Scripts Canada is looking for a Machine Learning Engineer to join our Team. The successful candidate will design, build, and operate data pipelines and ML services that detect…
Added 3 months ago
CH
Machine Learning Engineer - Express Scripts Canada
Cigna Healthcare
Mississauga, ON
- Full-time
Express Scripts Canada is looking for a Machine Learning Engineer to join our Team. The successful candidate will design, build, and operate data pipelines and ML services that detect…
Added 3 months ago
S
Senior Full-Stack Engineer (Media Team)
Solink
Remote, Canada
- $115,837 to $173,755 CAD / year
- Full-time
- Remote
As a Senior Full-Stack Engineer on the Media Team, you will be responsible for the cloud services that power Solink's media pipeline: ingesting, processing, storing, and serving media data…
Added 3 months ago
AG
Data Scientist (ML Engineer)
Adelphi Group
Toronto, ON
- Full-time
As a Data Scientist (ML Engineer), on the Perpetua team, you will design, experiment with, and ship the machine learning systems that decide how thousands of brands spend their advertising…
Added 3 months ago
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Senior Machine Learning Engineer
Vancity
Vancouver, BC
- Full-time
As a Senior Machine Learning Engineer, you will join our Data Science & AI Pod, focused on designing, building, and deploying enterprise-wide AI and machine learning solutions that support…
Added 2 months ago
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Technical Product Manager
AltaML
Edmonton, AB
- $110,000 to $130,000 CAD / year
- Full-time
You have been a software engineer. Real systems shipped and maintained.
Added 3 months ago
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Lead Machine Learning Engineer
Saris
Remote, Canada
- Full-time
- Remote
8+ years of experience in ML/AI engineering, including time as a technical lead or manager
Added 3 months ago
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Senior Data Engineer
Trackforce
Montreal, QC
- Full-time
Trackforce is seeking a highly skilled and motivated Senior Data Engineer to join our Data team. In this role, you will be responsible for designing, building, and maintaining the data…
Added 3 months ago
NS
Product Manager
No Saint
Montreal, QC
- Full-time
…The hardest problems we have live here: they're software and data problems dressed as hardware problems, and solving them well is a genuine technical and architectural challenge, not a UX…
Added 2 months ago
Q
FY27 Intern - Compute DSP/AI Processor Engineering Internship - Canada (16 months)
Qualcomm
Markham, ON
- Full-time
…Your "Profile Visibility" choice will guide how we manage your data across our systems. To be considered for the full breadth of internship opportunities, select the option to use your…
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 2 months ago
A
Technical Product Manager
AltaML
Edmonton, AB
- Full-time
You have been a software engineer. Real systems shipped and maintained.
Added 3 months ago
C
Applications Development Senior Manager
Citi
Remote, Canada
- Full-time
- Remote
The Applications Development Senior Manager is a senior management level position responsible for accomplishing results through the management of a team or department in an effort to…
Added 2 months ago
AG
Lead AI Engineer
Altus Group
Toronto, ON
- Full-time
Reporting to the Principal Architect, we are hiring a Lead AI Engineer to help shape and build the next generation of AI capabilities across the Altus Group platform ecosystem. As our new…
Added 3 months ago
GD
Life Cycle Material Engineering Specialist
General Dynamics Missions System International
Ottawa, ON
- Full-time
Partner with coordinators to ensure the integrity of all Product Support data and ensure comprehensive documentation of repair process.
Added 6 months ago
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AI Native Engineer, Growth Marketing
CookUnity
Toronto, Ontario
- $190,000 to $220,000 CAD / year
- Full-time
Familiarity with marketing platforms and data infrastructure - ideally some combination of Braze, Google Ads, Meta Ads Manager, Snowflake, or equivalent
Added 2 months ago
T
Senior Software Engineer (Back-end/Server)
Trulioo
Vancouver, BC · Toronto, ON
- Full-time
Our offices support a hybrid model and staff typically work three days per week at a hub location · This will be a full-time, permanent position, ideally working out of the Vancouver office on a hybrid model (3-days per week in the office)
Added 4 months ago
FA
Software Engineer - Data
Forum Asset Management
Toronto, Ontario
- Full-time
Forum Asset Management – Software Engineer - Data
Added 4 months ago
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{NEW} Applied AI, Technical Lead, Forward Deployed AI Engineer
Mistral
Montreal, Quebec
- Full-time
…in a technical leadership role (e.g., Tech Lead, Engineering Manager, Staff Engineer or Solutions Architect) focused on AI products or enterprise…

Guidepoint

AI Engineer

Toronto, ON, Canada

Apply on job-boards.greenhouse.io About employer

Applications open in a new tab.

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

Apply on job-boards.greenhouse.io About employer

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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Work requirements

Jobs in Canada