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Added 1 day ago
C
Software Engineer - Crowdsourcing Platform
Calder
Toronto, ON
- Full-time
The Task Platform connects people worldwide with opportunities to collect and contribute data for Physical AI. Demand across a wide range of customers and use-cases are mapped in real-time…
Added 1 day ago
IG
Java and Python Full Stack Developer
IMCS Group
Quebec, QC
- Contract
We are seeking an experienced Senior Java Full Stack Developer with strong hands-on expertise in Java, Python, modern frontend technologies, and enterprise application development.
Added 1 day ago
R
Full Stack Engineer
RBC
Vancouver, BC
- Full-time
Work primarily with .NET stack, however also leveraging Python for scripting and automation use cases
Added 1 day ago
Early Career Software Developer - Landmark
Halliburton
Calgary, AB
This scalable opportunity is designed for software engineers with one to five years of relevant experience. You will join a Landmark delivery team and contribute to production software used…
Added 1 day ago
Software Developer III, AI/ML GenAI, Google Ads
Google
Waterloo, ON
…change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search.…
Added 1 day ago
Senior AI/ML & Robotics Platform Developer
Siemens
Kitchener, ON
…ever-changing challenges, customer needs, and questions from colleagues with clever concepts and creativity. We embrace change and work with curious minds re-inventing the future of work.…
Added 1 day ago
GT
Data Analyst
Global Technical Talent, an Inc. 5000 Company
Toronto, ON
- $44 to $53 CAD / hour
- Contract
…solutions that drive adoption and impact. This is an AI project with a heavy focus on knowledge of reporting, and the contractor will have access to customer data. The team consists of 7…
Added 1 day ago
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Senior Full Stack Engineer
Foresight
Montreal, QC
- $180,000 to $230,000 CAD / year
- Full-time
Are strong in Python on the backend (FastAPI, Django or similar) and strong TypeScript with React on the frontend.
Added 1 day ago
TI
PYTHON Developer
TekStaff IT Solutions
Toronto, ON · Greater Toronto Area, Canada
- Contract
TekStaff's Client has a current vacancy for a PYTHON Developer
Added 1 day ago
SA
Senior/Staff Research Scientist, Physical AI - Dexterous Manipulation
Sanctuary AI
Vancouver, BC
- Full-time
…build a hydraulically actuated, high-degree-of-freedom hand with integrated tactile and proprioceptive sensing, and we train it to do the fine, contact-rich work that grippers…
Added 1 day ago
SA
Machine Learning Research Intern (Reinforcement/Imitation Learning)
Sanctuary AI
Vancouver, BC
- Internship
…and machine learning skills as well as hands-on experience with robotics. In this role you’ll be a valued contributor and you’ll gain a comprehensive understanding of the design,…
Added 1 day ago
S
Python Developer with Django & React Experience
Synechron
Toronto, ON
- $110,000 to $120,000 CAD / year
- Full-time
We are seeking a talented Python Full-Stack Developer with Django & React Experience to join our growing team. In this role, you will be responsible for designing, developing, and…
Added 1 day ago
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Senior Data Engineer
Foresight
Montreal, QC
- $180,000 to $240,000 CAD / year
- Full-time
We work with top data-center owners, developers and general contractors across the world, including Crusoe, Applied Digital, and NTT. We raised a $25M Series A led by Macquarie Capital and…
Added 1 day ago
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Senior Platform Engineer
Foresight
Montreal, QC
- $180,000 to $240,000 CAD / year
- Full-time
We work with top data-center owners, developers and general contractors across the world, including Crusoe, Applied Digital, and NTT. We raised a $25M Series A led by Macquarie Capital and…
Added 1 day ago
FW
Senior Platform Engineer
Foresight Works Ltd
Remote, Canada
- $180,000 to $240,000 CAD / year
- Full-time
- Remote
We work with top data-center owners, developers and general contractors across the world, including Crusoe, Applied Digital, and NTT. We raised a $25M Series A led by Macquarie Capital and…
Added 1 day ago
FW
Applied AI Engineer
Foresight Works Ltd
Remote, Canada
- $180,000 to $230,000 CAD / year
- Full-time
- Remote
We work with top data-center owners, developers and general contractors across the world, including Crusoe, Applied Digital, and NTT. We raised a $25M Series A led by Macquarie Capital and…
Added 1 day ago
FW
Senior Data Engineer
Foresight Works Ltd
Remote, Canada
- $180,000 to $240,000 CAD / year
- Full-time
- Remote
We work with top data-center owners, developers and general contractors across the world, including Crusoe, Applied Digital, and NTT. We raised a $25M Series A led by Macquarie Capital and…
Added 1 day ago
RB
Director & Principal Engineer, AI/ML & MLOps Platform
Royal Bank of Canada
Vancouver, BC
- Full-time
…Operations division. GFT’s impact is far-reaching as we collaborate with partners from across the company to deliver innovative and transformative IT solutions. Our clients represent Risk,…
Added 1 day ago
F
Applied AI Engineer
Foresight
Montreal, QC
- $180,000 to $230,000 CAD / year
- Full-time
We work with top data-center owners, developers and general contractors across the world, including Crusoe, Applied Digital, and NTT. We raised a $25M Series A led by Macquarie Capital and…
Added 1 day ago
T
Senior AI/ML Developer – Python | DSPy | LLM | Databricks | MLflow
ThoughtStorm
Toronto, ON
- Contract
Strong hands-on experience with Python programming for AI/ML development, data processing, and automation.
Added 1 day ago
R
Director & Principal Engineer, AI/ML & MLOps Platform
RBC
Vancouver, BC
- Full-time
…Operations division. GFT’s impact is far-reaching as we collaborate with partners from across the company to deliver innovative and transformative IT solutions. Our clients represent Risk,…
Added 1 day ago
FW
Senior Full Stack Engineer
Foresight Works Ltd
Remote, Canada
- $180,000 to $230,000 CAD / year
- Full-time
- Remote
Are strong in Python on the backend (FastAPI, Django or similar) and strong TypeScript with React on the frontend.
Added 1 day ago
TC
GenAI Developer
Tata Consultancy Services
Toronto, ON
- $90,000 to $110,000 CAD / year
- Full-time
We are looking for a hands-on GenAI Developer with strong experience in Python, PySpark, Machine Learning, GenAI, RAG, and Agentic AI, along with regulatory reporting platform experience.…
Added 1 day ago
Data Scientist
Scotiabank
Toronto, ON
The ideal candidate will bring a strong unstructured data analytics skillset with deep analytical expertise, to translate complex data into clear, actionable insights. They will use AI/ML,…
Added 1 day ago
T
Applied Machine Learning Scientist I
TD
Toronto, ON · Montreal, QC
- Full-time
As a candidate, you are encouraged to ask compensation related questions and have an open dialogue with your recruiter who can provide you more specific details for this role.

Foresight Works Ltd

Applied AI Engineer

Remote, Canada

Remote

$180,000 to $230,000 CAD / year · Full-time

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Job details

Pay: $180,000 to $230,000 CAD / year
Job type: Full-time
Workplace: Remote
Posting language: English
Posted: Nov 6, 2026

Original job description

About Foresight

Foresight's mission is to bring the world's critical infrastructure into service faster by better enabling teams to deliver complex capital projects.

The AI buildout runs on physical things: data centers, power, and the supply chains behind them. A single hyperscale campus involves an owner, a general contractor, dozens of trades, long-lead equipment suppliers, lenders and commissioning teams. Each works from its own schedule and its own spreadsheets. When a project slips, the people who could fix it usually find out last. For an AI data center, a month late can mean tens of millions in lost revenue.

Foresight is the control tower for these projects. We connect schedules, field progress and execution data across every party, forecast where delivery is heading, and help teams act before a delay becomes a missed date. On one 15-project portfolio, Foresight found a project 245 days behind, cut reporting overhead by 90%, and helped prevent more than $100M in lost revenue.

We work with top data-center owners, developers and general contractors across the world, including Crusoe, Applied Digital, and NTT. We raised a $25M Series A led by Macquarie Capital and are headquartered in New York.

The role

We're looking for an Applied AI Engineer to help build the core ML engine of the Foresight platform.

You will build the systems that enhance the ability for efficient delivery of large scale construction projects. You will architect, train and deploy the models that perform Foresight's risk predictions and AI recommendations, to be used in interfaces that make 100k-activity projects understandable at a glance. This is a hands-on role on a new team, for someone who owns models and backend features from training to deployment and monitoring to build systems that are accurate, scalable and observable.

At Foresight, machine learning is an integral part of the platform. You will be using complex, multimodal high stakes data to make predictions that will be used by teams to deliver major projects on time. This could translate to work on:

Risk prediction: Build, train and deploy models that predict if a project will be at risk and by how much.

Criticality prediction: Build models that use project plans to identify which of the tasks are the most critical to complete the project on time before the project even starts.

Project planning: Build models that accept blueprints and 3D Replit models to create project timelines and scaffolding as the starting point for human planners to make project planning a breeze.

Progress trackers: Build models that take in multi-model data from static cameras or videos from humans/drones on-site, voice notes, etc about a task to predict what percent of the task is complete.

Risk mitigation: Build, train and deploy models that can predict the best path forward for risk mitigation or timeline amelioration for major projects.

Continuous improvement: Evaluate models repeatedly and prototype methods and new models to improve the accuracy of current features, inspired by latest research publications.

What you'll do

Own features from technical design through release and beyond: measure adoption, learn and keep improving.

Work alongside Full Stack engineers to help them turn new models into production features customers rely on.

Partner with product, design and customers to find the problems most worth solving.

Tune performance across the modelling stack, from accuracy to latency and reliability.

Raise the bar on architecture, testing, observability and how the team ships.

Help shape the product and technical roadmap.

You might be a fit if you

Have 3+ years of experience building and shipping Machine Learning models in production, with real ownership of the backend.

Have 1+ years of experience building and shipping VLM/LLM based features to production.

Are strong in Python on the backend (FastAPI, Django or similar).

Are solid at relational data modelling in Postgres: schema design, indexes, query plans, migrations, and an ORM such as SQLAlchemy.

Have shipped agentic workflows, RAG systems and high-volume data pipelines.

Have experience with async work: queues, background jobs, retries, idempotency, and what happens when a worker dies halfway.

Are hands-on with AWS (S3, RDS, a managed queue or event service, containers or serverless).

Write tests and debug production issues from logs, metrics and traces, not guesses.

Are clear in written communication and comfortable making pragmatic trade-offs in a small team that moves fast.

Bonus points

Experience with workflow orchestration for multi-step jobs (Temporal, Step Functions, Airflow or similar).

You've worked on a legacy-to-modern migration, or on products for regulated enterprise or public-sector customers (SOC 2, data residency).

Early-stage or founding-team experience.

None of these are required. If the core of this role excites you, apply.

Why join now

Real stakes, real customers. Real stakes, real customers. You won't be building for a hypothetical buyer. Owners and contractors are building now, on deadlines measured in revenue per day.

Blank canvas, solid ground. You get first-engineer level scope on a product that already has paying customers, real data and proven outcomes to tell.

Defining a category.Agentic software for physical infrastructure is a new category. What you build will become the standard.

Small, senior team. Flat, direct, low on process. We debate openly, decide quickly and ship.

Compensation and location

Total Comp: $180,000-230,000, based on experience, level, and location.

Benefits: Health, Dental, Vision, 401(k), PTO .

Location: New York, San Francisco, and Montreal are preferred. Occasional travel to may be required.

Foresight is an equal opportunity employer. We welcome applicants of every background and do not discriminate on any protected basis.

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More about this job

Responsibilities

You will architect, train, and deploy machine learning models to predict project risks and provide actionable recommendations for large-scale infrastructure projects. You will also collaborate with full-stack engineers to integrate these models into production features while ensuring system scalability and reliability.

Requirements

The role requires 3+ years of experience in building and shipping production machine learning models and 1+ year of experience with VLM/LLM features. Candidates must be proficient in Python, relational data modeling with Postgres, and cloud infrastructure using AWS.

Skills

Machine Learning
Python
FastAPI
Django
Postgres
SQLAlchemy
VLM
LLM
Agentic Workflows
RAG Systems
AWS
Data Modeling
System Architecture
Model Deployment
Monitoring
Observability

Benefits

Health Insurance
Dental Insurance
Vision Insurance
401(k)
Paid Time Off

Visa sponsorship

Not detected in the job text

Keywords

Applied AI
Machine Learning
Python
FastAPI
Django
Postgres
SQLAlchemy
VLM
LLM
Agentic Workflows
RAG
AWS
S3
RDS
Data Modeling
Infrastructure
Construction Tech
Risk Prediction
Model Deployment
Observability
Temporal
Airflow
SOC 2
Backend Engineering
Data Pipelines
System Architecture
Multimodal Data
Predictive Analytics
Software Engineering
Cloud Computing

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