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Added 1 hour ago
AC
Forensic Civil Structural Engineer
Aviva Canada
Oakville, ON
- Full-time
Are you a passionate engineer eager to make a meaningful impact on a bigger scale? Aviva is thrilled to announce a new innovative role that offers an unparalleled opportunity to shape the…
Added 1 hour ago
ES
Lead Software Engineer, Applied AI (Frontend Leading)
EPAM Systems
Canada
- Full-time
…platforms that power our global workforce. As a Lead Software Engineer, Applied AI (Frontend Leading), you will build intuitive, performant user interfaces and frontend integration…
Added 1 hour ago
HR
RAM Specialist, Senior
Hitachi Rail
Toronto, ON
- Full-time
Provides RAM calculated data to support Life Cycle Cost (LCC) analysis that will predict the total cost of utilizing the CBTC
Added 1 hour ago
HR
Architect, Data Communication System
Hitachi Rail
Toronto, ON
- Full-time
…collaboration with the DCS Chief Architect and/or Manager. The systems engineer collaborates with a team of engineers to understand and define the project scope, performance outcomes, and…
Added 1 hour ago
MI
Staff/Senior Embedded Systems Engineer
Movellus Inc.
Markham, ON
- Full-time
Develop Python-based tools to support firmware, configuration of IPs, and data collection.
Added 1 hour ago
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Software Engineer - AI Gateway
Nutanix
Vancouver, BC
- $103,000 to $155,000 CAD / year
- Full-time
Have strong programming fundamentals, data structures, and algorithms, with professional experience developing in C++.
Added 1 hour ago
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Software Engineer - AI Gateway
Nutanix
Vancouver, BC
- $103,000 to $155,000 CAD / year
- Full-time
Have strong programming fundamentals, data structures, and algorithms, with professional experience developing in C++.
Added 1 hour ago
G
Associate, Client Engineer (Vancouver)
Glia
Vancouver, BC
- Full-time
…an AI workforce of specialized agents that draw from banking data, interaction history, and integrated systems of record. These banking-trained agents automate workflows across voice and…
Added 1 hour ago
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AI Software Engineer
Snowflake
Remote, Canada
- $176,300 to $226,300 CAD / year
- Full-time
- Remote
Snowflake is building the most powerful AI Data Cloud in the world - and Canada is a critical part of that mission. Our AI/ML engineering teams are delivering the intelligence layer that…
Added 1 hour ago
TT
HVAC engineer
trane technologies
Montreal, QC
- Full-time
…truly autonomous buildings. We’re looking for a Mechanical Engineer who brings deep knowledge of HVAC system design, commissioning, and field implementation - someone who understands how…
Added 1 hour ago
VG
Senior Software Engineer - AI/ML
Veralto Global
Vancouver, BC · London, ON
- $120,000 to $145,000 CAD / year
- Full-time
Reporting to the Director of Engineering & Predictive Analytics, the Senior Software Engineer will contribute to the technical development of Aquatic Informatics' predictive analytics…
Added 3 hours ago
MA
AI Architech
Meeru AI Inc
Remote, Canada
- Other
- Remote
…- and apply machine learning to turn fragmented operational data into grounded, auditable intelligence for CFOs, controllers, and FP&A…
Added 3 hours ago
GD
Co-op Winter 2027 – Project Engineer - 8 to 12 months
General Dynamics Missions System International
Ottawa, ON
- Internship
General Dynamics Mission Systems - Canada has a requirement for a Junior Project Engineer to join the International TacCIS group. The successful candidate will be expected to work alongside…
Added 3 hours ago
GD
Co-op Winter 2027 – Systems Test Engineering - 4-8 Months
General Dynamics Missions System International
Ottawa, ON
- Internship
Working under guidance from a senior engineer, develop and perform test cases to validate specific requirements;
Added 4 hours ago
M
Lead Software Engineer
Morningstar
Toronto, ON
- Full-time
As a Lead Software Engineer on our Data Feed Platform team (Direct – Data & Research), you will partner with product owners and engineering teams to shape the technical direction of our…
Added 5 hours ago
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Application Security Engineer
VGS
Canada
- Full-time
…directly into their stack, taming the complexity of payment data so they can move…
Added 5 hours ago
WS
Network Administrator
Windsor Salt Ltd.
Canada
- Full-time
Implement and enforce network security measures, such as access controls, firewall rules, intrusion detection systems, and data encryption.
Added 5 hours ago
M
Winter Co-op 2027 - Data Engineering
Manulife
Toronto, ON
- Full-time
As a Data Engineer Co-op, you’ll gain hands-on experience building and supporting the data systems that power business insights and decision-making. You’ll work with modern data tools and…
Added 5 hours ago
M
Winter Co-op 2027 - Data Engineering
Manulife
Waterloo, ON
- Full-time
As a Data Engineer Co-op, you’ll gain hands-on experience building and supporting the data systems that power business insights and decision-making. You’ll work with modern data tools and…
Added 5 hours ago
SE
Engineer in Training (EIT)
Sangster Engineering Ltd
Amherst, NS
- Full-time
We are hiring an entry-level engineer (mechanical or electrical) to join our R&D team. You will help take new products from the first sketch through prototyping, testing, certification and…
Added 5 hours ago
B
Staff Software Development Engineer – Linux Endpoint
BeyondTrust
Canada
- Full-time
As Staff Software Development Engineer, you'll be the Linux kernel authority for the runtime enforcement layer of our Identity Security Platform. These components decide, in-kernel, whether…
Added 5 hours ago
AI
Senior Software Engineer- React Native
AI Interviews
Toronto, ON · Greater Toronto Area, Canada
- Full-time
We are seeking a Senior/Lead React Native Engineer with 8+ years of mobile engineering and 5+ years of production React Native experience.Strong expertise in React Native 0.76+, New…
Added 5 hours ago
RC
Senior AI Engineer
Realtek Consulting LLC
Toronto, ON
- Contract
Demonstrated ability to design and explain solution architecture (data flow, runtime flow, interfaces, failure modes, and controls) and to explain model behaviour, limitations, and…
Added 5 hours ago
H
Senior WMS Implementation Engineer
Hays
Canada
- $95 to $100 CAD / hour
- Contract
Reporting to the Director, Data Science, as a Senior Data Scientist a successful candidate will focus on supporting Canadian business units in accelerating the growth and application of…
Added 5 hours ago
AC
Machine Learning Engineer
AGCO Corporation
Winnipeg, MB
- Full-time
Solutions for Every Season. We engineer and deliver precision agriculture hardware, software, and cloud-based platforms that connect every corner of the farm. At PTx, we are redefining 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

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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