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Added 2 mins ago
Y
GenAI Prompt Engineer
Yochana
Toronto, ON
- Contract
Prompt Writing: Design and refine creative, effective, and contextually relevant prompts for generative AI systems to maximize performance and accuracy across various use cases.
Added 47 mins ago
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Artificial Intelligence Consultant
SMARTFOX
Canada
- Full-time
Clear communication: you can explain a model to a CFO and a business problem to an engineer
Added 47 mins ago
FI
Artificial Intelligence Engineer
Flexstaf I.T. Inc.
Canada
- Contract
Develop solutions using Claude APIs, tool use, structured outputs, prompt engineering, RAG, and agentic workflows.
Added 1 hour ago
OA
Applied AI Engineer - Winnipeg
Outlier AI
Montreal, QC · Greater Montreal Metropolitan Area
- Full-time
Added 1 hour ago
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Software Engineer in Test
LTM
Mississauga, ON
- $103,554 to $115,200 CAD / year
- Full-time
Job Role – Software Development Engineer in Test
Added 1 hour ago
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GenAI Prompt Engineer
TechDoQuest
Toronto, ON
- Contract
-Prompt Writing: Design and refine creative, effective, and contextually relevant prompts for generative AI systems to maximize performance and accuracy across various use cases.
Added 1 hour ago
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AI Security Architect
Manulife
Toronto, ON
- Full-time
Industry certifications such as CISSP, CCSP, Azure Security Engineer, Azure Solutions Architect, or equivalent are considered an asset.
Added 1 hour ago
P
Senior Software Engineer
Pebl
Remote, Canada
- $122,835 to $180,000 CAD / year
- Full-time
- Remote
…AI assistant, and we’re looking for a Senior Full-Stack AI Engineer who wants to help define what AI-native software looks like, not follow a playbook that doesn’t exist…
Added 2 hours ago
RC
Senior AI Engineer
Realtek Consulting LLC
Toronto, ON
- Contract
Hands-on experience with modern GenAI patterns: prompt engineering, structured or JSON outputs, tool and function calling, retrieval-augmented generation, and agentic workflows.
Added 2 hours ago
GU
AI Agentic Systems & Automation Engineer
GenCore Utilities Ltd.
Markham, ON
- $100,000 to $140,000 CAD / year
- Full-time
GenCore Utilities Ltd. is seeking an AI Agentic Systems & Automation Engineer to design, build, and deploy AI solutions that improve engineering, operations, project delivery, and business…
Added 2 hours ago
Agentic AI Architect, Kitchener, ON ( Hybrid)
Siemens
Kitchener, ON
About Siemens Digital Industries Operations Software: It is a suite of integrated digital solutions to engineer, simulate and operate manufacturing operations across industries. Operations…
Added 4 hours ago
W
AI Engineer/Developer
W3Global
Toronto, ON
- $60,000 to $68,000 CAD / year
- Full-time
Required Skills: Python, Machine Learning, Generative AI, LLMs, Prompt Engineering, LangChain, Vector DBs, AWS/Azure AI Services, SQL, APIs.
Added 4 hours ago
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Senior Python Engineer
Citi
Mississauga, ON
- Full-time
Applied Methodology: Prompt Engineering, Workflow Design, GenAI Optimization
Added 5 hours ago
Product Security Engineer
Asana
Vancouver, BC
We're looking for a Product Security Engineer to join our Product Security team in Vancouver. You'll be a key member of our security engineering team, partnering directly with product and…
Added 5 hours ago
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Technical Consultant (Data & AI)
Fastloop
Vancouver, BC
- Full-time
You aren’t just a “Data Engineer” or a “Software Engineer”; you are the “connective tissue” of modern intelligence. You will be responsible for the programmatic development of Agentic…
Added 5 hours ago
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Forward Deployed Engineer – AI, Data Engineering & MLOps / Toronto, ON (Onsite) - FTE
AceStack
Toronto, ON
- Full-time
Job Title: Forward Deployed Engineer – AI, Data Engineering & MLOps
Added 5 hours ago
EI
Construction Manager, Land Development
Egis in Canada
AB · Edmonton, AB
- $130,000 to $170,000 CAD / year
- Full-time
…payments in a timely manner and maintains compliance with the prompt payment requirements defined by contract documents and statutory…
Added 7 hours ago
RE
Applied AI Engineer
Randstad Enterprise
Montreal, QC
- Contract
The Applied AI Engineer will work with business and technology teams to develop and implement Generative AI solutions. This is a hands-on engineering role focused on building prototypes,…
Added 7 hours ago
TC
Forward deployed Engineer
Tata Consultancy Services
Toronto, ON · Greater Toronto Area, Canada
- $100,000 to $120,000 CAD / year
- Full-time
Experience designing and building AI-powered applications using Claude, Prompt Engineering, Retrieval-Augmented Generation (RAG), Vector Databases, Semantic Search, and Agentic AI patterns.
Added 7 hours ago
TC
Forward deployed Engineer
Tata Consultancy Services
Toronto, ON
- $100,000 to $120,000 CAD / year
- Full-time
Experience designing and building AI-powered applications using Claude, Prompt Engineering, Retrieval-Augmented Generation (RAG), Vector Databases, Semantic Search, and Agentic AI patterns.
Added 7 hours ago
ZS
Forward Deployed Engineer
Zodiac Solutions, Inc
Toronto, ON
- Full-time
Experience designing and building AI-powered applications using Claude, Prompt Engineering, Retrieval-Augmented Generation (RAG), Vector Databases, Semantic Search, and Agentic AI patterns.
Added 7 hours ago
OA
AI Automation Engineer
Outlier AI
Montreal, QC · Greater Montreal Metropolitan Area
- Full-time
Added 7 hours ago
OA
AI Agent Engineer
Outlier AI
Montreal, QC · Greater Montreal Metropolitan Area
- Full-time
Added 7 hours ago
EG
Construction Manager, Land Development
Egis Group
Edmonton, AB
- $130,000 to $170,000 CAD / year
- Full-time
…payments in a timely manner and maintains compliance with the prompt payment requirements defined by contract documents and statutory…
Added 8 hours ago
E
Senior QE + AI Engineer
enableIT
Toronto, ON
- $75 to $80 CAD / hour
- Contract
We are seeking a Senior QE + AI Engineer with around 8 years of experience in Quality Engineering, Test Automation, or Software Engineering. The role focuses on building AI-powered…

Planitar Inc.

MLOps Engineer

Waterloo, ON, Canada

$120,000 to $150,000 CAD / year · Full-time

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Job details

Pay: $120,000 to $150,000 CAD / year
Job type: Full-time
Apply by: Nov 8, 2026
Posting language: English
Posted: Oct 9, 2026

Original job description

ABOUT US

At Planitar, we build technology that helps people see and understand the world’s spaces more clearly.

We are the creators of iGUIDE, a powerful property technology solution that combines immersive 3D tours, accurate floor plans and reliable spatial data into a single, easy-to-use system. Our cameras and software platform are used by professionals in real estate, insurance, construction and property management to simplify their work and deliver better results.

Planitar recently joined REA Group, one of the world’s leading digital property companies. REA operates Australia’s largest residential and commercial property platforms, including realestate.com.au and has a growing global footprint across Asia and North America. Together, we are shaping the future of property technology, combining Planitar’s deep spatial data expertise with REA’s global scale and innovation engine.

OUR VISION

A connected future where reliable spatial data enables informed decisions across the property lifecycle.

OUR VALUES

Integrity: We do the right thing even when it’s hard.
Teamwork: We are one team, on a big mission.
Innovation: We value creative solutions for emerging opportunities.
Accountability: We honour our commitments.

ABOUT THE ROLE

Planitar's Advanced Research Group builds the AI that turns 360° scans into floor plans. We are hiring our first MLOps Engineer to build the infrastructure that trains, evaluates, deploys and monitors our floor-plan generation and automated drafting QA models. You will own this platform end to end.

RESPONSIBILITIES

Build an automated evaluation harness that scores every new model and gates releases on regressions.
Automate and version the data generation and training pipelines.
Set up experiment tracking and a model registry.
Package and deploy models into our desktop drafting application and automated pipeline, with independent rollout and rollback.
Operate LLM-based agents in production: prompt and model versioning, cost and latency tracking.
Monitor model quality, drift and cost in production.
Manage our GPU compute and CI/CD for ML.

QUALIFICATIONS

4+ years in MLOps, ML platform or ML-focused software engineering, with models you took to production.
Strong Python; able to work with C++ codebases.
PyTorch training workflows and ONNX export.
Experiment tracking, model registries and data versioning (e.g. MLflow, W&B, DVC).
Docker, workflow orchestration and CI/CD.
AWS and Linux GPU environments.
Comfortable as the sole owner of a platform on a small research team.

NICE TO HAVE

LLMOps or agent evaluation experience.
Computer vision, 360° imagery or point-cloud data.
Shipping ML inside desktop or edge applications.

PERKS AND BENEFITS

100% employer-paid flexible benefits plan
Comprehensive Health & Dental coverage
Health Spending Account (HSA) or Lifestyle Spending Account (LSA) options
3% DPSP match
Hybrid Work Environment
Professional Development Incentive
Opportunities to grow as we scale
The backing of a global industry leader through REA Group

ACCESSIBILITY, INCLUSION & AI DISCLOSURE

Planitar is committed to a diverse, equitable, inclusive workplace and welcomes applications from all backgrounds. This is a back fill position. We provide accommodation under AODA at any hiring stage upon request. In line with Ontario law, we use AI only to summarize interview notes, never to screen, assess, or decide on candidates - all decisions are made by our team. Please note this is a new position.

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More about this job

Responsibilities

Build and own the end-to-end MLOps platform for training, evaluating, deploying, and monitoring floor-plan generation and automated drafting QA models. Automate data and training pipelines, manage model releases and production monitoring, operate LLM-based agents, and maintain GPU compute and ML CI/CD.

Requirements

Requires 4+ years of MLOps, ML platform, or ML-focused software engineering experience, including taking models to production, along with strong Python skills and the ability to work with C++ codebases. Candidates should have experience with PyTorch and ONNX, experiment tracking and data versioning, Docker, orchestration, CI/CD, AWS, and Linux GPU environments, and be comfortable owning a platform independently.

Skills

MLOps
Python
C++
PyTorch
ONNX
MLflow
Weights & Biases
DVC
Docker
Workflow Orchestration
CI/CD
AWS
Linux GPU Environments
Model Evaluation
Computer Vision
LLMOps

Benefits

Employer-Paid Flexible Benefits Plan
Health And Dental Coverage
Health Spending Account
Lifestyle Spending Account
3% DPSP Match
Hybrid Work Environment
Professional Development Incentive
Growth Opportunities
Global Industry Leader Backing

Visa sponsorship

Not detected in the job text

Keywords

MLOps
Machine Learning Platform
Python
C++
PyTorch
ONNX
MLflow
Weights & Biases
DVC
Docker
Workflow Orchestration
CI/CD
AWS
Linux
GPU Compute
Model Evaluation
Model Registry
Data Versioning
Training Pipelines
Experiment Tracking
LLMOps
Agent Evaluation
Computer Vision
360-Degree Imagery
Point-Cloud Data
Model Deployment
Model Monitoring
Drift Monitoring
Floor-Plan Generation
Automated Drafting QA

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