Jobs in Canada

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Added 2 months ago
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Spécialiste en Ingénierie, Systèmes de Contrôle de vol secondaires / High Lift Flight Control Systems Development Specialist
Airbus
Mirabel, QC · Montreal, QC
- Full-time
Added 3 months ago
PE
Facilities & Infrastructure Coordinator
Pacific Energy Canada
Squamish, BC
- Full-time
Coordinate facility service requirements with Operations, Maintenance, Engineering, and Supply Chain.
Added 3 months ago
PE
Facilities & Infrastructure Coordinator
Pacific Energy Canada
Vancouver, BC
- Full-time
Coordinate facility service requirements with Operations, Maintenance, Engineering, and Supply Chain.
Added 4 months ago
Capital Procurement Analyst
Government of Alberta
Edmonton, AB
Reporting to the Manager, Capital Systems and Coordination, the Capital Procurement Analyst leads and supports complex capital procurements that contribute to the successful delivery of…
Added 3 months ago
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Maintenance Manager
Wonderbrands
Kitchener, ON
- Other
Support Bakery Team Leader in submitting Capitol Requests and work with Engineering to ensure proper pricing and scope of work is correct on submissions.
Added 2 months ago
Student Co-op
Laurin
Calgary, AB
Maintain project document-control systems and follow established procedures for accurate, current records.
Added 2 months ago
Student Co-op
Laurin
Ottawa, ON
Maintain project document-control systems and follow established procedures for accurate, current records.
Added 4 months ago
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Inspecteur(trice) des appareils sous pression / Pressure Vessel Inspector
Smardt
Dorval, QC
- Full-time
Added 4 months ago
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Maître Scrum/Scrum Master
Telesat
Gatineau, Quebec
- Full-time
Added 4 months ago
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Mechanical Design Engineer- Nuclear
AtkinsRéalis
Mississauga, ON
- Full-time
We're AtkinsRéalis, a world-class engineering services and nuclear organization. We connect people, data and technology to transform the world's infrastructure and energy systems. Together,…
Added 4 months ago
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Mechanical Design Engineer- Nuclear
AtkinsRéalis
Mississauga, ON
- Full-time
We're AtkinsRéalis, a world-class engineering services and nuclear organization. We connect people, data and technology to transform the world's infrastructure and energy systems. Together,…
Added 2 months ago
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Bridge Engineer
Stantec
Edmonton, AB
- Full-time
An opportunity exists for an intermediate to senior Bridge Engineer to become part of our dynamic Transportation Engineering group in Alberta. This position will be full-time in-office or…
Added 3 months ago
PE
Trainee Operations Technician
Pacific Energy Canada
Squamish, BC
- $41.6 CAD / hour
- Full-time
…operation and supporting operations processes, relevant Management Systems and…
Added 3 months ago
CB
Maintenance and Equipment Technician
CapWest Build
Vancouver, BC · Cap West Sites
- Full-time
Added 3 months ago
Industrial Operations & Maintenance Performance Engineer
Alstom
Saint-Bruno, QC · Ottawa, ON
…high-speed trains, metros, monorails, and trams, to turnkey systems, services, infrastructure, signalling and digital mobility, we offer our diverse customers the broadest portfolio in the…
Added 3 months ago
Industrial Operations & Maintenance Performance Engineer
Alstom
Saint-Bruno, QC
…high-speed trains, metros, monorails, and trams, to turnkey systems, services, infrastructure, signalling and digital mobility, we offer our diverse customers the broadest portfolio in the…
Added 3 months ago
TG
Cladding Estimator
Triumph Group of Companies
Mississauga, ON
- Full-time
Strong understanding of residential roofing systems including shingles, flat roofing assemblies, metal roofing, flashing systems, and related exterior envelope components
Added 4 months ago
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Site Reliability Engineer (Monetization)
Xsolla
Montreal, QC
- Full-time
…and equally comfortable writing code and running production systems to join our Infrastructure department's SRE team. The best candidate will be someone who thrives in a fast-paced, highly…
Added 3 months ago
Senior Advanced Drone Operator (RPAS & Reality Capture)
WSP
Toronto, ON
With an unmatched breadth and depth of engineering, advisory and science‑based expertise, our global minds unite to power local solutions.
Added 4 months ago
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Senior Mechanical Design Engineer
Ciena
Ottawa, ON
- Full-time
The must haves:
Added 2 months ago
AI Engineer
Guidepoint
Toronto, ON
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…
Added 2 months ago
KG
Senior Mechanical Engineer
KGS Group
Winnipeg, MB
- Full-time
Must possess a valid driver’s license and the ability/willingness to undergo security clearance checks
Added 3 months ago
KG
Senior Mechanical Engineer
KGS Group
Winnipeg, MB
- Full-time
We are an employee-owned, multidisciplinary engineering consulting firm serving clients across North America and beyond. Our team of engineers, scientists, technologists and support staff…
Added 2 months ago
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Manufacturing Test Developer, Product Engineering
Ross Video
Iroquois, ON
- Full-time
The Test Developer II within Product Engineering plays a key role in ensuring the performance, reliability, and quality of Ross Video products through comprehensive testing, automation, and…
Added 3 months ago
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Water Wastewater Compliance Coordinator
Mississaugas of Scugog Island First Nation
Port Perry, ON
- Full-time
…compliance for drinking water quality and environmental management systems and manages data and compliance matters related to Water and Wastewater services. Additionally, provide…

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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Jobs in Canada