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Added 1 month ago
IS
Senior Machine Learning / AI Engineer
INETCO Systems Ltd.
Vancouver, BC
- Full-time
This role is ideal for someone who enjoys working with real-world data, building practical AI systems, and turning machine learning concepts into reliable software features.
Added 5 months ago
L
Generative AI Developer – Microsoft Azure AI Stack
Lantern
Toronto, Ontario
- Full-time
3+ years of experience in software development, with a focus on AI/ML applications.
Added 3 months ago
C
Principal Engineer - Platform Architecture & Transformation
Conexiom
Kitchener, ON · Vancouver, BC
- Full-time
Deep expertise in distributed systems, platform architecture, cloud-native development, and software modernization.
Added 3 months ago
GT
Associate Director, Product Management
Greater Toronto Airports Authority
Toronto, ON
- Full-time
Lead and inspire a team of Product Managers, fostering a high-performance culture through coaching, mentoring, and development.
Added 3 months ago
S
Senior ML Research Engineer, Virtual Cell
SandboxAQ
Remote, Canada
- $125,800 to $222,000 CAD / year
- Full-time
- Remote
Model Development: Build, train, and maintain machine learning models for expression-perturbation prediction (e.g. transcriptomic response to a drug perturbation) and downstream…
Added 2 months ago
AI Engineer
Guidepoint
Toronto, ON
…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…
Added 1 month ago
RB
Senior Manager, Process Transformation & Large Program Management
Royal Bank of Canada
Toronto, ON
- Full-time
Artificial Intelligence Software, Artificial Intelligence Software, Automation Development, Banking Operations, Business Operations, Change Management Leadership, Complex Data Analysis,…
Added 1 month ago
W
Senior / Staff Software Engineer, AI Tech Strike Team
Waabi
Toronto, ON
- $165,000 to $265,000 USD / year
- Full-time
The latest advances in AI tooling is fundamentally changing all teams' ways of working - from ML model development, to traditional software development, to non-technical business functions.…
Added 1 month ago
A
Technical Product Manager
AltaML
Edmonton, AB
- Full-time
…years of industrial and academic experience in data science, software engineering, product development, and machine learning…
Added 5 months ago
P
Senior Software Engineer, Platform Engineering
PointClickCare
Mississauga, Ontario
- $142,700 to $158,600 CAD / year
- Full-time
Platform Engineering exists to empower product engineering teams to build, deploy, and operate healthcare software faster, more reliably, and more securely. We solve complex…
Added 5 months ago
T
VP of Engineering
truvara
Toronto, Ontario
- $150,000 to $225,000 CAD / year
- Full-time
In this role, you will own the technology agenda, leading development and deployment of our entire tech stack, most critical of which will be our claims handling and fraud detection. You…
Added 4 months ago
O
Senior Product Manager
Owl.co
Toronto, ON
- $170,000 to $220,000 CAD / year
- Full-time
Oversee discovery and delivery across multiple workstreams, working closely with internal development teams and external partners.
Added 3 months ago
D
Delivery Lead
Datatonic
Canada
- Full-time
Multiple years of experience within a consulting firm, Big Four or Technical Consultancy or software vendor focused on complex enterprise transformation.
Added 1 month ago
A
Principal Design Verification Engineer
AMD
Markham, ON
- $187,200 to $280,800 USD / year
- Full-time
…clustering, coverage gap analysis, stimulus optimization, assertion development, debug summarization, and knowledge…
Added 1 month ago
MC
Senior Machine Learning Engineer Specialist – AI Centre of Excellence (35668)
Myticas Consulting
Canada
- Contract
…data preparation, transformation, feature engineering, model development, experimentation, training, validation, deployment, monitoring, maintenance, and production…
Added 5 months ago
4
Senior International Regulatory Affairs Specialist
4Catalyzer
Burlington, Ontario
- $90,000 to $100,000 USD / year
- Full-time
…proprietary Ultrasound-on-Chip™ semiconductor technology and software solutions. Butterfly first proved its technology in the point-of-care ultrasound market – commercializing the world’s…
Added 5 months ago
K
Senior Software Engineer, Agents
Klue
Vancouver, British Columbia
- $140,000 to $196,000 CAD / year
- Full-time
…tools like Copilot, Curssor, Claude Code, or similar into your development workflow and can speak to how they've changed the way you build…
Added 3 months ago
Q
Senior Software Developer
Quantiphi
Canada
- Full-time
Quantiphi is seeking a Senior Software Developer to design and build scalable, high-performance web applications using a modern Java-based stack. This role is ideal for someone who thrives…
Added 3 months ago
EB
Associate Director, Quality Engineering
EQ Bank | Canada's Challenger Bank
Toronto, ON
- Full-time
We are seeking an Associate Director, QA to lead and shape the automation testing strategy for our software applications, systems, and databases. This leadership role requires a strong…
Added 3 months ago
C
Applications Development Senior Manager
Citi
Remote, Canada
- Full-time
- Remote
The Applications Development Senior Manager is a senior management level position responsible for accomplishing results through the management of a team or department in an effort to…
Added 3 months ago
Q
Machine Learning Engineer, AI Processors (Sr to Staff)
Qualcomm
Markham, Ontario
- Full-time
Strong software development skills in Python and/or C++,
Added 1 month ago
T
Founding AI/ML Engineer
Taskclan
Remote, Canada
- Full-time
- Remote
…Intelligence. You will work directly with the founder on model development, evaluation, inference and…
Added 1 month ago
P
AI Engineer - Canada
Pulsora
Remote, Canada
- $60,000 to $70,000 CAD / year
- Full-time
- Remote
5+ years of professional experience in software development, with a minimum of 2 years focused on AI/ML development, particularly with LLMs
Added 1 month ago
AC
Data Scientist
Amaris Consulting
Montreal, QC
- Full-time
…ML and Gen AI. The candidate should be familiar with Python development, predictive analytics, and prompt engineering, and should be able to work with different clients and subject matter…
Added 1 month ago
A
Senior Manager, GTM Data Science
Autodesk
Toronto, ON · AMER - Canada - Ontario - Toronto - University Ave
- Full-time
Define success measures before development begins and hold the team and partners accountable for adoption and realized outcomes, including customer retention and growth, conversion,…

Guidepoint

AI Engineer

Toronto, ON, Canada

Apply About employer

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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

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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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