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Added 35 mins ago
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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 2 hours ago
SM
GOAPRDJP000001045 – Project Manager (IT) – Senior
S M Software Solutions Inc
AB · Edmonton, AB
- Internship
Job Title: GOAPRDJP000001045 – Project Manager (IT) – Senior
Added 2 hours ago
SM
GOAPRDJP000001045 – Project Manager (IT) – Senior
S M Software Solutions Inc
AB · Edmonton, AB
- Internship
Job Title: GOAPRDJP000001045 – Project Manager (IT) – Senior
Added 2 hours ago
SM
GOAPRDJP000001045 – Project Manager (IT) – Senior
S M Software Solutions Inc
AB · Edmonton, AB
- Internship
Job Title: GOAPRDJP000001045 – Project Manager (IT) – Senior
Added 3 hours ago
S
Customer Success Manager
Salesforce
Toronto, ON · Canada - Toronto
- Full-time
The Customer Success Manager (CSM) is a versatile expert responsible for ensuring high-value customers achieve a significant return on their investment with our platform. This role…
Added 4 hours ago
C
Program Manager - Retail Technology
Cogniify
Vancouver, BC
- $175,000 to $183,000 CAD / year
- Full-time
You will play a central role in bringing business and technical teams together, helping shape delivery processes and moving meaningful retail innovation work forward. This is a good fit for…
Added 4 hours ago
Senior Program Manager
MongoDB
Toronto, ON
…milestones, establish accountable owners, document decisions and delivery expectations, and coordinate technical and cross-functional…
Added 4 hours ago
G
AI Engineer
Guidepoint
Toronto, ON · Greater Toronto Area, Canada
- Full-time
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…
Added 4 hours ago
M
Senior Manager of Software Engineering
Morningstar
Toronto, ON
- Full-time
Strong technical depth in distributed systems, including service architecture, API design, data consistency, resiliency, and performance, with the ability to review designs and identify…
Added 5 hours ago
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Manager, Customer Support
Pontosense
Toronto, ON
- Full-time
We are scaling. Our consumer product launches in January, one of the largest deals in our history is in delivery, and the team doubles over the next year. Every one of those adds customers,…
Added 5 hours ago
Delivery Manager
EXL
Canada
Lead full lifecycle delivery of data and AI solutions – from discovery and design through development, deployment, and adoption.
Added 5 hours ago
K
Senior Manager, Transaction Services
KPMG
Vancouver, BC
- Full-time
As a Senior Manager in Transaction Services, you will lead complex engagements and multidisciplinary teams, work closely with Partners and senior client executives, and apply both strong…
Added 9 hours ago
L
Senior Technology Manager - Security Engineering and Architecture
lululemon
Vancouver, BC
- Full-time
As the Senior Technology Manager, Security Engineering & Architecture, you will be a key leader within the Technology organization, responsible for shaping and executing the vision for…
Added 10 hours ago
R
Regional Plant Controller
Refresco
Calgary, AB
- Full-time
Overall responsibility for the multiple plant operations financial results and delivery of accurate timely results in accordance with IFRS and company processes/procedures by working…
Added 11 hours ago
SL
Engineering Manager
Sun Life
Toronto, ON · Waterloo, ON · Sun Life Waterloo King
- Full-time
As Engineering Manager, you're accountable for a single squad's delivery, people development, and execution quality. You balance hands-on technical contribution with people leadership. You…
Added 12 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 13 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 13 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 16 hours ago
SM
GOAPRDJP000001045 – Project Manager (IT) – Senior
S M Software Solutions Inc
AB · Edmonton, AB
- Internship
Job Title: GOAPRDJP000001045 – Project Manager (IT) – Senior
Added 16 hours ago
SM
GOAPRDJP000001045 – Project Manager (IT) – Senior
S M Software Solutions Inc
AB · Edmonton, AB
- Internship
Job Title: GOAPRDJP000001045 – Project Manager (IT) – Senior
Added 17 hours ago
PC
Finance Transformation Manager, Enterprise Performance Management (EPM) (Bilingual FR/EN)
Pwc Canada
Calgary, AB · Montreal, QC · Ottawa, ON
- Full-time
As a Finance Transformation Manager, Enterprise Performance Management, you’ll work as part of a team of problem solvers, helping to solve business issues, deliver high quality client…
Added 18 hours ago
X
Software Development Manager
Xanadu
Toronto, ON
- Full-time
As a Software Development Manager, you will employ a robust managerial toolbox to independently lead a software development team, typically supporting up to 10 direct reports. This is…
Added 18 hours ago
X
Sr. Technical Engagement Manager, Algorithms and Applications
Xanadu
Toronto, ON
- Full-time
As Xanadu's Technical Engagement Manager (TEM), Algorithms and Applications, you will lead the growth of our pipeline of commercial algorithms and applications research projects. You will…
Added 18 hours ago
X
Technical Project Manager
Xanadu
Toronto, ON
- Full-time
We are looking for a motivated and technically capable Technical Project Manager (TPM) to join our Engineering / Program Management team in Toronto to help drive complex engineering…
Added 18 hours ago
X
Sr. Technical Program Manager
Xanadu
Toronto, ON
- Full-time
As a Sr. Technical Program Manager, your primary mission is to ensure we successfully deliver new versions of our quantum hardware systems on schedule and within budget. You are the…

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

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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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