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Added 5 months ago
H
AI Engineer - Remote
Huzzle.com
Canada
- Full-time
We are looking for a highly skilled AI Engineer to design, build, and deploy AI-driven applications and machine learning solutions. You'll work closely with product, engineering, and data…
Added 6 months ago
MA
AI Intern / AI Engineer
Metry AI
Remote, Canada
- Remote
Python / FastAPI / LangChain / PyTorch / TensorFlow
Added 6 months ago
A
Field Engineering Co-Op
Acceldata
Kitchener, Ontario
- Internship
As a Field Engineer Co-op at Acceldata, you’ll be working hands-on with complex distributed systems, helping real customers solve deep infrastructure and data observability challenges.
Added 6 months ago
A
Sales Engineering Co-Op
Acceldata
Kitchener, Ontario
- Internship
Summary As a Sales Engineer Co-op at Acceldata Inc, you will work closely with our sales engineering team to support customer-facing initiatives across solution design, pre-sales, and…
Added 6 months ago
PI
Optical Engineer (Ph.D. / Early Career)
Photonic Inc.
Coquitlam, British Columbia
- Full-time
Photonic is seeking a talented Optical Engineer to support the design and engineering of optical sub-systems that advance our quantum computing roadmap. This is an excellent opportunity for…
Added 6 months ago
AI
Solution Engineer - Tooling (Vehicle Intelligence)
Applied Intuition
Owen Sound, Ontario
- Full-time
…validating intelligent systems at petabyte scale. As a Solution Engineer on the Tooling pillar, you will work with ADAS and AD engineering teams at OEMs and Tier 1s to architect and build…
Added 6 months ago
AI
Solution Engineer - Vehicle OS
Applied Intuition
Owen Sound, Ontario
- Full-time
We are looking for a bright engineer to help our customers solve complex technical problems across Applied Intuition’s Vehicle OS portfolio. In this role you will work closely with vehicle…
Added 6 months ago
F
Machine Learning Engineer
FactualIQ
Remote, Canada
- $160,000 to $190,000 CAD / year
- Full-time
- Remote
As a Machine Learning Engineer (Product AI), you'll build ML/AI tools that power SEAI's Decision Engine for our enterprise clients. You'll own the complete development lifecycle, from…
Added 3 months ago
GP
AI/ML Engineer Intern (2027)
Georgian Partners Growth
Remote, Canada
- Internship
- Remote
Are you an aspiring AI Engineer eager to gain real-world impact and learn how to push AI's boundaries? Imagine diving into diverse, cutting-edge AI problems across multiple high-growth…
Added 3 months ago
S
Senior Full Stack Engineer, App Runtime
Snowflake
Toronto, Ontario
- $245,250 to $295,250 CAD / year
- Full-time
As a Senior Full Stack Engineer, you will drive initiatives that span our product areas and tech stack. It’s a high-impact role - you will work on an early-stage, public-preview product.…
Added 2 months ago
B
Senior Cloud Engineer - Google Cloud Platform (GCP)
BDO
Toronto, ON
- Full-time
BDO Digital is looking for a Senior GCP Cloud Engineer to join their growing team. The individual will own the following responsibilities:
Added 2 months ago
IT Systems Engineer - Identity
Asana
Vancouver, BC
Asana is seeking an experienced IT Systems Engineer (Identity) to join our growing IT Team and support the critical systems that keep IT moving forward. The ideal candidate will be focused…
Added 2 months ago
Senior Data/AI Engineer
Guidepoint
Toronto, ON
Guidepoint seeks an experienced Data/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…
Added 1 month ago
M
Applied AI Engineer
MANNARINO
Montreal, QC
- Full-time
We are seeking an Applied AI Engineer to help implement secure, reliable AI-assisted workflows for engineering and business activities. The successful candidate will report to the person…
Added 1 month ago
C
Product Security Engineer, North Security
Cohere
Remote, Canada
- $180,000 to $385,000 CAD / year
- Full-time
- Remote
We're hiring a Senior Product Security Engineer to work these problems alongside the engineers building the products, reviewing architecture and code, threat modeling before implementation,…
Added 6 months ago
QT
Senior Applied AI Engineer - Product & Revenue Systems
QEA Tech
Markham, Ontario
- Full-time
Python and modern AI / ML development workflows
Added 6 months ago
RA
Staff Embedded Software Engineer, Virtualization
Rivian and Volkswagen Group Technologies
Vancouver, British Columbia
- $137,300 to $181,890 CAD / year
- Full-time
As a Staff Embedded Software Engineer, you will transform real-world ECU firmware into high-performance virtual devices that run on everyday workstations and cloud servers. Your work closes…
Added 6 months ago
DI
Founding Engineer (Python / FastAPI / LLM)
Daixta intelligence
Remote, Canada
- $60,000 to $70,000 CAD / year
- Full-time
- Remote
You'll be the founding engineer at Daixta. You'll build the product end-to-end with the founder from prototype to first paying customer.
Added 6 months ago
E
Backend Performance & Systems Engineering (Project)
Elumai
Remote, Canada
- Full-time
- Remote
Stack: Python, FastAPI, PostgreSQL, Google Cloud Platform
Added 6 months ago
Z
Senior Backend Engineer (.NET & AI/ML)
Zonda
Toronto, Ontario
- $110,000 to $130,000 CAD / year
- Full-time
We are hiring a Senior Backend Engineer with strong .NET and AI/ML expertise to design and build scalable, high-performance backend systems and AI-powered features for NewHomeSource.com and…
Added 6 months ago
Z
Senior Backend Engineer (.NET & AI/ML)
Zonda
Montreal, Quebec · Greater Montreal Metropolitan Area
- $110,000 to $130,000 CAD / year
- Full-time
We are hiring a Senior Backend Engineer with strong .NET and AI/ML expertise to design and build scalable, high-performance backend systems and AI-powered features for NewHomeSource.com and…
Added 6 months ago
Z
Senior Backend Engineer (.NET & AI/ML)
Zonda
Vancouver, British Columbia
- $110,000 to $130,000 CAD / year
- Full-time
We are hiring a Senior Backend Engineer with strong .NET and AI/ML expertise to design and build scalable, high-performance backend systems and AI-powered features for NewHomeSource.com and…
Added 6 months ago
F
Computer Vision & Behavioral Signal Analysis Intern (Travel + Hospitality Focus)
FairwAI
Remote, Canada
- Remote
Experienced in Python-based ML and vision workflows
Added 6 months ago
F
Senior Frontend Engineer
Forma.ai
Toronto, Ontario
- $140,000 to $175,000 CAD / year
- Full-time
Reporting to the VP of Engineering the Senior Frontend Engineer will play a key role in building, evolving, and scaling Forma’s customer-facing and internal operations experiences.
Added 6 months ago
K
Software Engineer, AI
Klue
Toronto, Ontario
- $92,000 to $119,000 CAD / year
- Full-time
We're looking for a Software Engineer with production experience to join our Toronto AI engineering team. You'll help us build and improve the LLM-powered agent systems that turn millions…

QEA Tech

Senior Applied AI Engineer - Product & Revenue Systems

Markham, ON, Canada

Full-time

Apply About employer

Applications open in a new tab.

Job details

Job type: Full-time
Experience: The ideal candidate has 5+ years of experience in applied AI, machine learning, data engineering, computer vision, LLM-based systems, or growth engineering.
Posting language: English
Posted: May 6, 2026

Original job description

Role Mission

Build and deploy AI systems that directly drive revenue by embedding AI across QEA’s product, sales, and marketing workflows.

This role focuses on execution: turning QEA’s building data, imagery, analysis outputs, and business workflows into production AI tools that accelerate deals, generate pipeline, improve proposal quality, and enable AI-assisted retrofit planning.

The ideal candidate is a senior hands-on builder who can work across product, engineering, sales, and business teams to identify high-impact AI opportunities, build working systems, and deploy them into real operational use.

What Success Looks Like: 12–18 Months

Product: Ship AI-assisted retrofit planning features, including detection, recommendations, prioritization, and ROI-supporting outputs.

Sales: Improve win rate and sales velocity through AI-generated insights, automated proposal support, portfolio-level analysis, and pre-sales intelligence.

Marketing / Growth: Develop AI-driven targeting, outbound, and campaign automation systems that generate qualified pipeline.

Platform: Help establish QEA as an AI-driven building intelligence platform that supports retrofit planning, financing, and long-term asset management.

Core Responsibilities

Build AI-powered product features for retrofit planning, including building issue detection, retrofit recommendations, prioritization logic, and ROI-supporting outputs.
Develop AI-assisted sales tools, including pre-sales insights, automated proposal generation, portfolio analysis, client-specific opportunity summaries, and supporting materials for business development.
Create AI-driven marketing and growth systems, including lead targeting, account research, personalized outreach support, and campaign automation.
Work with QEA’s data pipelines, imagery, analysis outputs, and customer data to continuously improve AI systems and product capabilities.
Support SaaS product development by contributing to APIs, dashboards, automation workflows, internal tools, and production AI integrations.
Collaborate closely with product, engineering, building science, sales, and leadership teams to prioritize and deploy high-impact solutions quickly.
Help define the technical roadmap for applied AI across QEA’s product and revenue systems.
Provide technical direction to junior or intermediate engineers as the AI team grows.

Ideal Candidate Profile

The ideal candidate has 5+ years of experience in applied AI, machine learning, data engineering, computer vision, LLM-based systems, or growth engineering.

They are a strong hands-on builder with experience shipping production systems, not just experiments or prototypes. They are comfortable working with ambiguous business problems, translating them into technical solutions, and iterating quickly based on real-world feedback.

This person should be capable of operating as a senior technical lead, helping QEA prioritize AI initiatives and eventually directing junior or intermediate team members as execution needs grow.

Required Technical Skills

Strong experience with:

Python and modern AI / ML development workflows
Machine learning frameworks and production model deployment
Computer vision systems, especially image-based detection, segmentation, classification, or analysis
LLM-based systems, including document processing, workflow automation, retrieval, structured extraction, or AI-assisted content generation
Structured and unstructured data
Data pipelines and model improvement workflows
Deploying AI systems into production environments
APIs, SaaS product development, dashboards, or internal automation tools

Nice-to-Have Experience

Experience with any of the following would be valuable:

Building science, energy modelling, construction, retrofits, or real estate analytics
Drone imagery, thermal imagery, geospatial data, or 3D building data
Proposal automation, sales enablement tools, or portfolio analysis systems
Marketing automation, lead scoring, or AI-driven outbound systems
Startup or scale-up environments where speed, ownership, and ambiguity are part of the role

Mindset

Execution-focused builder.

This person should move quickly, prioritise impact, and be comfortable working across technical and business domains. They should be able to identify where AI can create real business value, build practical solutions, and avoid getting stuck in research mode when a usable system can be shipped and improved.

They should be comfortable with ambiguity, able to work directly with non-technical stakeholders, and capable of turning loose business needs into deployed products and revenue tools.

First 90-Day Plan

Month 1: Understand QEA’s Data, Product, and Workflows

Learn QEA’s current product, data assets, AI workflows, sales process, and retrofit planning goals.
Review existing imagery, analysis outputs, building data, proposals, and customer-facing deliverables.
Identify the highest-impact AI opportunities across product, sales, and growth.
Define a focused execution plan for the first phase of work.

Month 2: Build Initial High-Impact AI Tools

Build and test initial AI-assisted sales or proposal tools.
Begin developing core AI-assisted retrofit planning features.
Work with engineering and product teams to integrate early tools into internal workflows.
Validate outputs with sales, building science, and leadership teams.

Month 3: Launch First Production Workflows

Launch the first usable AI-driven sales, proposal, or retrofit planning workflow.
Measure impact on speed, quality, and business usefulness.
Iterate based on feedback from internal users and customer-facing teams.
Define the next phase of the roadmap, including whether additional junior or intermediate support is needed.

Role Scope and Team Structure

This role has a broad 12–18 month mandate across product AI, sales enablement, marketing automation, proposal generation, portfolio analysis, and retrofit planning.

Given the breadth of the opportunity, the role should initially focus on the highest-impact priorities rather than attempting to execute every workstream at once. The senior hire will help determine sequencing, technical approach, and resource needs.

As the work expands, this role may grow into a technical lead position with support from junior or intermediate engineers who can help execute under the senior engineer’s direction.

Positioning

QEA is building the system that helps decide how buildings get fixed, financed, and managed.

This role sits at the center of that transition by turning QEA’s building intelligence, AI capabilities, and customer workflows into scalable product and revenue systems.

Impact

This role directly impacts:

Revenue growth
Sales velocity
Product differentiation
Retrofit planning capabilities
Proposal quality and automation
AI-driven platform development
QEA’s transition from services-enabled software toward a scalable AI-driven platform

The right person will help QEA move faster, sell smarter, and build the next generation of AI-powered building intelligence tools.

Apply About employer

More about this job

Responsibilities

The role involves building AI-powered product features for retrofit planning and developing AI-assisted sales tools. It also includes creating AI-driven marketing systems and collaborating with various teams to deploy high-impact solutions.

Requirements

The ideal candidate should have over 5 years of experience in applied AI, machine learning, or related fields, with a strong focus on building production systems. They should be comfortable with ambiguous business problems and capable of leading technical initiatives.

Skills

Python
Machine Learning
Data Engineering
Computer Vision
LLM-based Systems
Data Pipelines
APIs
SaaS Product Development
Automation Workflows
Image-based Detection
Segmentation
Classification
Analysis
Proposal Automation
Sales Enablement Tools
Marketing Automation

Visa sponsorship

Not detected in the job text

Keywords

Applied AI
Machine Learning
Data Engineering
Computer Vision
LLM
Sales Tools
Marketing Automation
Proposal Generation
SaaS
APIs
Automation Workflows
Building Science
Energy Modelling
Construction
Real Estate Analytics
Drone Imagery
Thermal Imagery
Geospatial Data
3D Building Data
Portfolio Analysis
AI-driven Systems
Revenue Growth
Sales Velocity
Product Differentiation
Retrofit Planning
AI Capabilities
Customer Workflows
Building Intelligence
Technical Roadmap
Production AI Tools

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