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Added 23 mins ago
HM
Family Practitioner/General Practitioner
Health Match BC
Fernie, BC
- Internship
…alongside a seasoned clinic owner and a skillful, supportive office manager and staff that will lend their expertise in billing and panel management - creating the perfect environment for…
Added 23 mins ago
IS
Data Project Manager
Iris Software Inc.
Toronto, ON
- Contract
Iris’s leading financial client is looking for Data Project Manager to join their team at Toronto, ON(Hybrid) location.
Added 24 mins ago
Senior Program Manager
MongoDB
Toronto, ON
…how we respond over time. We’re looking for a Senior Program Manager to strengthen the function’s ability to deliver its program priorities consistently across regions through focused…
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Electrical and Control Senior Specialist
Lloyds Register
Burlington, ON
The above job description does not preclude the assignment of other duties by the Global Electrical & Control Discipline Manager or the Line Manager.
Added 39 mins ago
Senior Cloud Technical Account Manager - Vancouver, CAN , AWS Enterprise Support
Amazon
Vancouver, BC
Would you like to join one of the fastest-growing organizations within Amazon Web Services (AWS) and help customers of all industries and sizes gain the best value and service from AWS? At…
Added 39 mins ago
Sr. Cloud Technical Account Manager - Canada, FSI Canada
Amazon
Toronto, ON
Would you like to join one of the fastest-growing organizations within Amazon Web Services (AWS) and help customers of all industries and sizes gain the best value and service from AWS? AWS…
Added 39 mins ago
C
Plant Manager
Carlisle
Crossfield, AB
- Full-time
The Plant Manager is accountable for the site team, overall manufacturing processes, and the physical facility. This includes accountabilities for Safety, Quality, Delivery, Cost, People,…
Added 53 mins ago
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Plant Manager
Carlisle Construction Materials
Crossfield, AB
- Full-time
The Plant Manager is accountable for the site team, overall manufacturing processes, and the physical facility. This includes accountabilities for Safety, Quality, Delivery, Cost, People,…
Added 53 mins ago
NS
Senior Site Reliability Engineer – Adobe Cloud & Edge Delivery
N2P Systems
Toronto, ON
- Full-time
Experience with Adobe Experience Manager (AEM), Edge Delivery Services, or similar vendor-managed web delivery platforms.
Added 53 mins ago
G
AI Engineer
Guidepoint
Toronto, ON · Greater Toronto Area, Canada
- Full-time
…AI-enabled products to optimize the seamless delivery of our…
Added 53 mins ago
TM
Account Manager
Tech Mahindra
Montreal, QC
- Full-time
Experience: · 10 years of experience in IT services or digital consulting, with a minimum of 5-7 years in a sales/client partner role in the telecom domain.
Added 53 mins ago
ED
Business Development Manager
Earth Drilling
Calgary, AB
- Full-time
The Business Development Manager will drive new business for the Company’s Canadian Drilling Services. In addition, the incumbent will support marketing and social media initiatives and…
Added 54 mins ago
SD
Pharmacy Manager, Hourly Full Time Flexible Shifts Greenlight Requisition
Shoppers Drug Mart
New Glasgow, NS
- Full-time
…providers, practice to full scope in providing professional services, dispensing medication, and assisting in the maintenance of the…
Added 54 mins ago
M
Senior Manager of Software Engineering
Morningstar
Toronto, ON
- Full-time
Lead the North America engineering teams supporting Morningstar Plan Advantage and Fiduciary Services.
Added 54 mins ago
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Grocery Department Manager Full Time Day Greenlight Requisition
Loblaw Companies Limited
Calgary, AB
- Full-time
We’re looking for Talented Passionate Leaders with a proven record of delighting customers and growing sales. As a Manager in, you will have an immediate impact on sales and customer…
Added 1 hour ago
UO
Research Profile Officer
University of Victoria
Victoria, BC
- Full-time
…supporting institutional research priorities, partnerships, services and research entities across the university. Within this portfolio, the Strategic Research Initiatives (SRI) Unit leads…
Added 1 hour ago
H
assistant manager, restaurant
Harvey's
Sarnia, ON
- Full-time
Determine type of services to be offered and implement operational procedures
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QA/QC Manager
Promart Industrial
Sarnia, ON
- Full-time
We need a QA/QC Manager who is excited by that challenge and wants to help us build something exceptional.
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EverLine Coatings and Services Simcoe
Barrie, ON
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Company Description EverLine Coatings and Services helps property managers keep parking lots safe, functional, and visually appealing through professional line painting and pavement…
Added 1 hour ago
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Investment Advisor
Infotree Global Solutions
Toronto, ON
- Contract
The role of Account Manager plays a vital part in ensuring we deliver the highest quality of customer service to our clients.
Added 1 hour ago
IS
Data Project Manager
Iris Software Inc.
Toronto, ON
- Contract
Proven experience working within Banking / Financial Services.
Added 1 hour ago
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Senior Manager, Transaction Services
KPMG
Vancouver, BC
- Full-time
We are looking for a Senior Manager to join our growing Transaction Services team in Vancouver.
Added 1 hour ago
OR
Wireless Sales Associate - 3026 Capilano
OSL Retail Services Inc
Edmonton, AB
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Added 2 hours ago
HH
Saint John Registered Nurse Class A (RNCA) PCN 9251462
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St. Stephen, NB
- Temporary
Awareness of relevant legislation and processes, including but not limited to the Mental Health Act, Family Services Act and NB Addiction withdrawal protocols
Added 2 hours ago
S|
IT Sales Manager
Solidy | Software Development Company
BC
- Full-time
The IT Sales Manager is responsible for managing the entire sales lifecycle, which includes: prospecting new leads, qualifying new sales opportunities, performing onsite presentations to…

Guidepoint

AI Engineer

Toronto, ON, Canada
Greater Toronto Area, Canada, Canada

Full-time

Apply About employer

Applications open in a new tab.

Job details

Job type: Full-time
Apply by: Nov 11, 2026
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: Oct 12, 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 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.

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

Design, build, deploy, and operate scalable production AI systems, including LLM applications, RAG pipelines, research agents, APIs, and integrations with internal knowledge repositories and external data sources. Improve AI quality, safety, and reliability through evaluation, monitoring, LLMOps practices, and technical leadership while partnering with stakeholders to shape product priorities.

Requirements

Requires a bachelor's degree and at least six years of relevant experience, or a master's degree and at least four years, including backend engineering and production-grade Generative AI systems. Candidates need strong Python and cloud-native engineering experience, at least two years building LLM applications, and practical expertise in RAG, AI evaluation, large-scale data platforms, and mentoring engineers.

Skills

Python
Backend Software Engineering
Generative AI
Large Language Models
Retrieval-Augmented Generation
RESTful APIs
Microservices
Asynchronous Programming
Azure
Kubernetes
Docker
LLMOps
Prompt Engineering
Vector Databases
Databricks
Technical Leadership

Benefits

Paid Time Off
Comprehensive Benefits Plan
Company RRSP Match
LinkedIn Learning Development Opportunities
Annual Discretionary Performance Bonus

Visa sponsorship

Not detected in the job text

Keywords

Python
FastAPI
Flask
Asyncio
RESTful APIs
Microservices
Generative AI
Large Language Models
Retrieval-Augmented Generation
Hybrid Search
Vector Databases
Pinecone
Elasticsearch
Multi-Agent Systems
Prompt Engineering
LLM Judges
MLflow
LLMOps
Databricks
Apache Spark
Azure
Azure Kubernetes Service
Kubernetes
Helm
Docker
LangChain
LlamaIndex
CI/CD
ArgoCD
Observability

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