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Added 51 mins ago
SAP Solution Architect - Senior Manager (EAM/Plant Maintenance)
EY
Winnipeg, MB · Toronto, ON · Saskatoon, SK · Halifax, NS · St. John's, NL · Saint John, NB · London, ON · Vancouver, BC · Victoria, BC · Edmonton, AB · Ottawa, ON · Dieppe, NB · ON · AB · Calgary, AB · Waterloo, ON
EY Technology Consulting is a fast-moving and high-growth area within EY. We are currently looking for a Senior Manager – SAP Solution Architect to join our Enterprise Applications…
Added 2 hours ago
W
Manager, Machine Learning Engineering - Agent Factory
Workday
Vancouver, BC · Canada, BC, Vancouver
- Full-time
We are seeking a Manager to lead the development of AI agents for our HR and Finance business. You will be responsible for building and mentoring a high-performing engineering team, driving…
Added 3 hours ago
AC
Senior Financial Analyst
Aston Carter
Toronto, ON
- $50 to $65 CAD / hour
- Contract
…directly with the CFO, Finance Leadership Team, and Project Manager to maintain day-to-day finance operations while supporting key transformation initiatives. This position is ideal for a…
Added 4 hours ago
HT
Trade Compliance Program Manager
Husky Technologies
Bolton, ON
- Full-time
As the Global Trade Compliance Program Manager, you will report to the Director, Global Trade Compliance & Customs and serve as the program lead for enterprise-wide trade compliance…
Added 4 hours ago
TI
OFSAA Data Integration Specialist
Themesoft Inc.
Toronto, ON
- Contract
Design, develop, optimize, and support complex SQL and PL/SQL components for OFSAA data integration and processing.
Added 4 hours ago
SM
RQ00388 – Solution Architect
S M Software Solutions Inc
Fredericton, NB
- Full-time
Demonstrated experience with large software systems consisting of web interfaces, batch processes, time-based transactions, long running transactions and multiple integration points – 5+…
Added 4 hours ago
SM
RQ00388 – Solution Architect
S M Software Solutions Inc
Fredericton, NB
- Full-time
Demonstrated experience with large software systems consisting of web interfaces, batch processes, time-based transactions, long running transactions and multiple integration points – 5+…
Added 4 hours ago
HT
Financial Manager
Husky Technologies
Bolton, ON
- Full-time
During the month end close, review process and integration issues in BAAN and AX. Liaison with IT and/or Controllership to resolve prior to the period close. This requires a comprehensive…
Added 4 hours ago
SM
RQ00388 – Solution Architect
S M Software Solutions Inc
Fredericton, NB
- Full-time
Demonstrated experience with large software systems consisting of web interfaces, batch processes, time-based transactions, long running transactions and multiple integration points – 5+…
Added 4 hours ago
SM
RQ11723 – Solutions Designer – CRM – Senior
S M Software Solutions Inc
Toronto, ON
- Full-time
…platform capabilities, including Flex Cards, Data Raptors, Integration Procedures, Calculation Matrices and Procedures, Omni Scripts, and the Velocity Data Model. The successful candidate…
Added 4 hours ago
SM
RQ11723 – Solutions Designer – CRM – Senior
S M Software Solutions Inc
Toronto, ON
- Full-time
…platform capabilities, including Flex Cards, Data Raptors, Integration Procedures, Calculation Matrices and Procedures, Omni Scripts, and the Velocity Data Model. The successful candidate…
Added 4 hours ago
SM
RQ11723 – Solutions Designer – CRM – Senior
S M Software Solutions Inc
Toronto, ON
- Full-time
…platform capabilities, including Flex Cards, Data Raptors, Integration Procedures, Calculation Matrices and Procedures, Omni Scripts, and the Velocity Data Model. The successful candidate…
Added 4 hours ago
XS
Senior PPC Manager
Xcellence Staffing Solutions
Canada
- Full-time
…aligned with clients’ tools, goals, and pace, ensuring smooth integration and sustained support. Clients receive full onboarding assistance, weekly check-ins, and a flexible engagement…
Added 5 hours ago
Team Lead, Lifecycle Marketing Automations Projects (Go Auto Corporate - Mayfield)
Go Auto
AB · Edmonton, Alberta
Are you an experienced project manager who can turn complex marketing, data, and technology initiatives into successful outcomes? If you’re organized, confident managing competing…
Added 5 hours 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…
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 9 hours ago
CT
TECHNICAL INTEGRATION & CONVERSION COORDINATOR - RIS / PACS
Chrome Technologies
Montreal, QC
- Full-time
Can be highly technical and must be comfortable with systems as well as integration and conversion challenges.
Added 9 hours ago
HT
Financial Manager
Husky Technologies
Bolton, ON
- Full-time
During the month end close, review process and integration issues in BAAN and AX. Liaison with IT and/or Controllership to resolve prior to the period close. This requires a comprehensive…
Added 14 hours ago
CO
Manager, Digital Solutions
City of Saint John
Saint John, NB
- Full-time
The Manager, Digital Solutions, is responsible for the delivery and ongoing management of the City’s enterprise applications, digital solutions, and data and information management…
Added 14 hours ago
CO
Application & Integration Technical Analyst
City of Saint John
Saint John, NB
- Full-time
Under the direction of the designated IT Manager, the Application and Integration Technical Analyst is a technical lead responsible for system architecture, data strategy, and integration…
Added 14 hours ago
OI
Data Implementation Engineer
Odaia Intelligence Inc.
Remote, Canada
- Full-time
- Remote
As a Data Implementation Engineer reporting to the Manager, Technical Implementations, you will play a critical role in configuring and implementing our AI-driven platform to enable our…
Added 14 hours ago
OI
Senior Data Implementation Engineer
Odaia Intelligence Inc.
Remote, Canada
- Full-time
- Remote
As a Senior Data Implementation Engineer, reporting to the Manager, Technical Implementations, you will own complex customer implementations end-to-end and act as a technical escalation…
Added 15 hours ago
R|
Project Manager, Capture and Optimization of Research Data (CORD) Platform
RI-MUHC | Research Institute of the MUHC | #rimuhc
Montreal, QC
- Full-time
The Research Institute of the MUHC is seeking an interim Project Manager to join the Capture and Optimization of Research Data (CORD) platform of the Centre for Outcomes Research and…
Added 16 hours ago
FH
Doctor Preference Card (DPC) Clerk/Inventory Analyst, Operating Room
Fraser Health Authority
Pitt Meadows, BC
- $32.39 CAD / hour
- Other
Develops, implements and maintains stock control systems and procedures for OR supplies and equipment. Completes requisitions for OR supplies and equipment, contacts suppliers and…
Added 17 hours ago
SM
RQ11723 – Solutions Designer – CRM – Senior
S M Software Solutions Inc
Toronto, ON
- Full-time
…platform capabilities, including Flex Cards, Data Raptors, Integration Procedures, Calculation Matrices and Procedures, Omni Scripts, and the Velocity Data Model. The successful candidate…

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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