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Added 4 hours ago
HT
VP, Accounting & Controllership (Husky)
Husky Technologies
Bolton, ON
- Full-time
At Husky TechnologiesTM, our success is based on your success. Our ability to keep our customers in the lead is based on building the strongest team possible.
Added 5 hours ago
IB
General Manager - GTA
Indigo Books & Music
Toronto, ON
- $61,500 to $81,500 CAD / year
- Full-time
Using strong systems thinking, this role ensures store processes and routines are both efficient and effective across customer experience, visual merchandising, product flow, scheduling,…
Added 5 hours ago
R
RCI-ROCG-43383 Clinical Sourcing Manager / Clinical Procurement Manager (Contract Negotiation/Agreement/Vendor Management) (Pharma/Biotech)
Rangam
Mississauga, ON
- $42 to $45 CAD / hour
- Contract
This position is part of the Indirect Procurement Delivery team reporting into the Procurement Delivery Lead - R&D.
Added 5 hours ago
AS
Software Developer
AgileGrid Solutions
Canada
- Full-time
McKesson is seeking a Sr. Software Developer to design, build, and scale modern software solutions that support healthcare technology innovation. In this role, you will help deliver secure,…
Added 6 hours ago
I
General Manager - GTA
Indigo
Toronto, ON
- $61,500 to $81,500 CAD / year
- Full-time
Using strong systems thinking, this role ensures store processes and routines are both efficient and effective across customer experience, visual merchandising, product flow, scheduling,…
Added 6 hours ago
G
AI Engineer
Guidepoint
Toronto, ON · Greater Toronto Area, Canada
- Full-time
…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…
Added 10 hours ago
HT
VP, Accounting & Controllership (Husky)
Husky Technologies
Bolton, ON
- Full-time
At Husky TechnologiesTM, our success is based on your success. Our ability to keep our customers in the lead is based on building the strongest team possible.
Added 14 hours ago
CO
Manager, Digital Solutions
City of Saint John
Saint John, NB
- Full-time
…information management functions. This role ensures that corporate systems - including major enterprise systems and other business applications - are reliable, secure, and aligned with…
Added 16 hours ago
HT
VP, Accounting & Controllership (Husky)
Husky Technologies
Bolton, ON
- Full-time
At Husky TechnologiesTM, our success is based on your success. Our ability to keep our customers in the lead is based on building the strongest team possible.
Added 16 hours ago
Sr. Solution Architect
Rogers Communications
Brampton, ON · Calgary, AB
We’re looking for a hands-on Senior Solution Architect to lead the design and deliver scalable, secure, and reusable data and AI solutions.
Added 23 hours ago
IE
Manager, Supply Chain & Innovation
IMAX Enhanced | Streaming & Consumer Technology
Mississauga, ON
- Full-time
…identify opportunities to simplify and standardize operations and lead the development and implementation of improved processes, dashboards, reporting tools and practical automation…
Added 1 day ago
SC
Director, Analytics & Insights
Securian Canada
Toronto, ON
- $130,000 to $170,000 CAD / year
- Full-time
…analytics products, modern business intelligence, and practical AI-enabled…
Added 1 day ago
SC
Director, Analytics & Insights
Securian Canada
Waterloo, ON
- $130,000 to $170,000 CAD / year
- Full-time
…analytics products, modern business intelligence, and practical AI-enabled…
Added 1 day ago
W
Project Engineering Manager, Mining
Worley
Vancouver, BC
- Full-time
…and decommissioning. Leveraging extensive experience and AI-enabled delivery, we support customers in navigating complexity as they meet today's needs and transition to more sustainable…
Added 1 day ago
W
Project Engineering Manager
Worley
Vancouver, BC
- Full-time
…and decommissioning. Leveraging extensive experience and AI-enabled delivery, we support customers in navigating complexity as they meet today's needs and transition to more sustainable…
Added 1 day ago
R
VP of Marketing Operations
Revun
Vaughan, ON
- Internship
Experience marketing SaaS, software, technology platforms, marketplaces, CRM products, AI-enabled tools, workflow systems, or other complex B2B products
Added 2 days ago
BL
Team Lead, Office Services
BC Legal Management Association
Vancouver, BC · Greater Vancouver Metropolitan Area
- Other
The Vancouver office is seeking an experienced and service-oriented Office Services Team Lead to join its busy and fast-paced Office Services team. This is a hands-on working lead role that…
Added 2 days ago
TT
Senior Project Controller
Tetra Tech
Mississauga, ON
- Full-time
Lead the development and maintenance of project controls processes, including scope, schedule, estimate, procurement, and contracting alignment for assigned projects.
Added 2 days ago
AG
Technical Lead, Aerospace Development
ADGA Group Consultants Inc
Ottawa, ON
- $140,000 to $160,000 CAD / year
- Full-time
ADGA is seeking an experienced Technical Lead, Aerospace Development to lead the design, development, evaluation, and sustainment of Uncrewed Aircraft Systems (UAS) and related aerospace…
Added 2 days ago
SI
Finance Manager
StoneRidge Insurance Brokers
Hamilton, ON
- Full-time
…management of our real estate portfolio and related entities. You’ll lead accounting operations, financial reporting, budgeting, forecasting, and cash flow management while maintaining…
Added 2 days ago
B
Senior Technology Manager, Loan Servicing Technology
BMO
Toronto, ON · FCP
- Full-time
We are seeking a Senior Technology Manager to lead the Loan Servicing Technology portfolio supporting critical lending platforms and services within Commercial and Corporate Banking.
Added 2 days ago
B
SENIOR BUSINESS ADVISOR, AI
BDC
Montreal, QC
- Full-time
…define responsible AI strategies, and oversee the delivery of AI‑enabled advisory mandates. The role emphasizes business outcomes, governance, and adoption rather than technical model…
Added 2 days ago
R
Senior Manager, Software Development
RBC
Toronto, ON
- Full-time
As the senior technical leader, you will define the technical vision, lead an engineering team, establish engineering standards, and drive the adoption of AI-enabled software engineering…
Added 2 days ago
B
Developer Lead (AI-Enabled Systems)
BMO
Toronto, ON · FCP
- Full-time
You will work across frontend, backend, and integration layers to build reliable systems, while delivering AI-enabled capabilities where they create genuine business value. Candidates are…
Added 2 days ago
ED
Sr Software Developer (Lead) - EN 178
Export Development Canada | Exportation et développement Canada
Vancouver, BC
- $96,557 to $128,743 CAD / year
- Full-time
What this role is and is not: This is a hands-on full-stack developer role with some upfront solution design and architecture responsibilities. Most of your time will be spent building,…

Guidepoint

AI Engineer

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

Full-time

Apply About employer

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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

Apply About employer

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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