Jobs in Canada

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Added 1 day ago
EC
Embedded V&V Engineer
Experis CA
Montréal, QC
- Contract
Our client, MDA is seeking an Embedded V&V Engineer – Satellite Systems to join their team. As an Embedded V&V Engineer – Satellite Systems, you will be responsible for the verification and…
Added 1 day ago
Cloud Platform & Site Reliability Engineer
Thinkon Inc
Etobicoke, ON
ThinkOn is seeking a Cloud Platform / Site Reliability Engineer to operate, automate, monitor, and improve our private cloud and Kubernetes platforms.
Added 1 day ago
FW
AI/ML Engineer
Future Works
Canada
- Contract
As an AI/ML Engineer, you will build agent capabilities in parallel during the build phases, working under the Lead AI/Agent Architect. You will implement the tool integrations, data…
Added 1 day ago
Senior Engineer - Generative AI
Rubicon Path
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Our client in the financial service space in Toronto is looking for a Senior Engineer with experience in Generative AI.
Added 1 day ago
HT
Lead / Principal Java Engineer
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- Contract
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RQ08012 - Sr DevOPS/Cloud Engineer
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We are looking for an experienced Azure DevOps Engineer to join our team and manage the continuous integration and continuous deployment (CI/CD) processes for cloud-native applications…
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RQ08100: Software Developer - ETL
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Must Have Skills
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RQ08216 - Sr. DevOPS/Cloud Engineer
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Experience in scripting languages like Python, Bash, PHP, Java, JavaScript, Node, etc.
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Experience in scripting languages like Python, Bash, PHP, Java, JavaScript, Node, etc.
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Experience in scripting languages like Python, Bash, PHP, Java, JavaScript, Node, etc.
Added 1 day ago
RQ08685 - DevOPS/Cloud Engineer - Senior
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RQ08343 - Systems Testing/QA Specialist - Senior
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· Utilizes test automation frameworks/tools that supports PHP and JavaScript, Python
Added 1 day ago
RQ08833 - Technology Architect - Senior
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Toronto, ON
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Added 1 day ago
RQ08679 - DevOPS/Cloud Engineer - Senior
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Ability to handle popular scripting languages and well-versed with at least one scripting language (preferably Python) to automate repeatable processes
Added 1 day ago
RC
Sr Data Engineer
Randstad Canada
Mississauga, ON
- $66.42 to $73.8 CAD / hour
- Contract
Our client, is seeking an experienced, detail-oriented Sr Data Engineer to join their platform modernization team.
Added 1 day ago
Sr Java Engineer-React
TechnoCred
Toronto, ON
Expertise with modern web languages such as Java, React, Javascript, Python, Scala, etc.
Added 1 day ago
Développeur-euse, tests industriels / Industrial Testing Developer
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Added 1 day ago
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Staff Software Engineer - AI II
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- Full-time
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As an AI Staff Engineer, you will help define and build the AI foundation that powers the next generation of Westlaw experiences. You will work on cutting-edge technologies including…
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RQ09033 - Software Developer - Senior
Rubicon Path
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Azure cloud certifications (e.g. Azure fundamentals, Azure Data Engineer associate, Azure Database Administrator associate)
Added 1 day ago
RQ09177 - Machine Learning Engineer - Senior
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Programming Skills: Strong programming skills in Python, including experience with libraries like NumPy, Pandas, and Scikit-learn.
Added 1 day ago
RQ09207 - Software Developer - Senior
Rubicon Path
Toronto, ON
Azure cloud certifications (e.g. Azure fundamentals, Azure Data Engineer associate, Azure Database Administrator associate)
Added 1 day ago
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Azure cloud certifications (e.g. Azure fundamentals, Azure Data Engineer associate, Azure Database Administrator associate)
Added 1 day ago
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Experience in scripting languages like Python, Bash, PHP, Java, JavaScript, Node, etc.
Added 1 day ago
Databricks Data Engineer
Rubicon Path
Toronto, ON
This is a hands-on Data Engineer position. We are looking for candidate with good knowledge on Bigdata technology and strong development experience with Databricks.
Added 1 day ago
DataBricks Data Architect
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Toronto, ON
Databricks Certified Data Engineer Professional or Databricks Certified Data Engineer Associate. Equivalent certifications in cloud data engineering or architecture (e.g., Azure Data…

Future Works

AI/ML Engineer

Canada

Contract

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Job details

Job type: Contract
Experience: 4+ years in software or machine learning engineering, with production experience building LLM-powered features or agents.
Posting language: English
Posted: Nov 4, 2026

Original job description

About Future Works

Large companies spend billions on consulting and implementation projects to adopt new technology. Most of that work is slow and expensive, and too often it fails to deliver. Future Works replaces it. We rebuild the operations that move a company's P&L in twelve-week cycles, run by senior experts and fleets of AI agents, with our fees tied to outcomes our clients' own finance teams verify. We deliver in twelve weeks what incumbents quote at two years.

We work with large companies in energy, construction, real estate and other asset-heavy industries. Every role here is built around humans and agents working as one system. Whatever the seat, we look for high energy, high agency and a real interest in building with AI.

The Role

We are running an engagement to design and build an AI agent system that manages a complex, high-value transaction workflow for a large enterprise client, from initial engagement through close-out, across a multi-stage process.

As an AI/ML Engineer, you will build agent capabilities in parallel during the build phases, working under the Lead AI/Agent Architect. You will implement the tool integrations, data pipelines, and per-stage agent components that let a full transaction scenario run end to end against sandbox data.

Key Responsibilities

Per-Stage Agent Build: Implement agent capabilities for individual workflow stages (for example engagement agreement generation, needs-assessment brief, market survey and long-list scoring, tour management, RFP and proposal analytics, lease abstraction, and close-out and invoicing), building to the orchestration model and stage handoff protocols defined by the Lead Architect.
Tool & Integration Development: Build the typed tools the agents call: template population, market-data query, financial analytics (NER, TI, free rent, NPV), clause and lease-clause extraction, and document assembly.
Data Pipelines: Build and maintain pipelines against sandbox and representative sample data, including the property availability data source.
Human-in-the-Loop Implementation: Encode the approval gates and review checkpoints specified by the architect, so binding steps always route through a broker confirmation.
Quality & End-to-End Testing: Validate components against deal-scenario data and participate in end-to-end testing across all eight stages, checking artifact quality and stage handoff integrity.
Build-Phase Readiness: Participate in Phase 1 architecture workshops to ensure the build starts on solid foundations.

What We're Looking For

Required Skills and Experience

4+ years in software or machine learning engineering, with production experience building LLM-powered features or agents.
Agent Tooling: Hands-on experience with agent frameworks, tool and function calling, retrieval, and prompt engineering.
Python & Data Engineering: Strong Python and practical experience building data pipelines and integrating structured and unstructured data sources.
Document Processing: Comfort parsing, extracting, and generating documents across formats such as PDF, DOCX, and structured templates.
Financial & NLP Depth: Experience implementing financial analytics (lease economics, NPV, scenario modelling) and NLP information extraction (clause and entity extraction from contracts or leases) is strongly preferred.
Domain Exposure: Exposure to commercial real estate or another document-heavy transaction domain is a plus.
AI-Native Workflow: Comfort utilizing LLM code assistants and agentic engineering to ship faster and with higher quality.
Agile Execution: Ability to move quickly in hypothesis-driven, milestone-based sprint cycles, shipping working components and iterating against real evidence.

Our Culture & Benefits

We believe that breakthrough results are driven by breakthrough experiences. Our culture is built on freedom, high performance and our core values. You can read more about our values and how we work on our careers page: https://future.works/careers

Benefits & Perks

New York or US Eastern. We work in our clients' time zones, with regular time in person on client sites.
Compensation. A competitive salary.

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More about this job

Responsibilities

The AI/ML Engineer at Future Works will build agent capabilities for individual transaction workflow stages, implement the tools agents call, and maintain data pipelines. They will also add approval checkpoints and test components end to end.

Requirements

Future Works needs 4+ years in software or machine learning engineering, including production experience with LLM-powered features or agents. Strong Python, data pipeline and document processing skills are required, with financial analytics and NLP extraction strongly preferred.

Skills

Python
LLM applications
AI agent development
Tool and function calling
Retrieval-augmented generation
Prompt engineering
Data pipeline engineering
Structured and unstructured data integration
Document parsing and generation
PDF
DOCX
Template population
NLP information extraction
Clause and entity extraction
Financial analytics
NPV modelling
Lease economics
Scenario modelling
LLM code assistants
Agile sprint delivery
Human-in-the-loop design
End-to-end testing

Keywords

AI engineer
machine learning engineer
ML engineer
LLM
AI agents
agent framework
tool calling
function calling
retrieval
prompt engineering
Python
data pipelines
document processing
PDF
DOCX
NLP
information extraction
NPV
lease economics
commercial real estate

Seniority

Mid level

Tools

Python

Languages

English

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Work requirements

Jobs in Canada