Find work in Canada.

555,662 jobs across our Canadian network. How we count

Jobs in Canada

Email me new jobs Save this search

Added 1 month ago
AI
Data Science Lead
Alberta Innovates
AB · Edmonton, AB
- Full-time
Mentor analysts and technical staff and build shared tooling and reusable assets that raise data-science maturity.
Added 1 month ago
Data Science Lead
Alberta Innovates / InnoTech Alberta
Edmonton, AB
Mentor analysts and technical staff and build shared tooling and reusable assets that raise data-science maturity.
Added 1 month ago
TL
Senior or Staff Software Engineer, Data Platform (Canada)
TRM Labs
Canada
- Full-time
The Data Platform team collaborates with an experienced group of data scientists, engineers, and product managers to build highly available and scalable data infrastructure for TRM's…
Added 1 month ago
C
Staff Site Reliability Engineer – Automation and Platform
Cerebras
Toronto, ON
- Full-time
If you are a proven Staff+ engineer who enjoys turning complexity into elegant reliability at scale, this is your chance to lead this transformation from the front.
Added 1 month ago
PX
Senior Machine Learning Engineer –AI & Agentic Systems
Project X
Toronto, ON
- Full-time
Project X Ltd. builds high-performing teams of talented, client-focused problem solvers who thrive on complex data challenges. Guided by our values of Care, Bravery, Excellence, and…
Added 1 month ago
PX
Staff Machine Learning Engineer – AI & Agentic Systems
Project X Ltd.
Toronto, ON
- Full-time
…talented, client-focused problem solvers who thrive on complex data challenges. Guided by our values of Care, Bravery, Excellence, and Innovation, we value people who take ownership of…
Added 1 month ago
PX
Staff Machine Learning Engineer – AI & Agentic Systems
Project X
Toronto, ON
- Full-time
Project X Ltd. builds high-performing teams of talented, client-focused problem solvers who thrive on complex data challenges. Guided by our values of Care, Bravery, Excellence, and…
Added 2 months ago
D
Senior Fullstack Product Engineer II
Docebo
Toronto, ON
- $123,400 to $164,500 CAD / year
- Full-time
Next-Level Ambition: Active aspiration and progress toward a Staff Engineer or formal technical leadership trajectory.
Added 1 month ago
D
Senior Product Engineer II - Fullstack
Docebo
Remote, Canada
- $123,400 to $164,500 CAD / year
- Full-time
- Remote
As the Senior Product Engineer II, you bring expert-level proficiency across backend and frontend development with the ability to design, build, and evolve complete features from data and…
Added 1 month ago
Staff Engineer (Platform)
Later
Vancouver, BC
We are seeking a Staff Engineer with a strong background in modern web development technologies and a passion for building high-quality, distributed applications within our Platform’s…
Added 1 month ago
Staff Engineer (Product)
Later
Vancouver, BC
We’re looking for a Staff Engineer to play a critical role in shaping the future of Later’s technology stack. This is a senior-level role for a highly skilled engineer who thrives in…
Added 2 months ago
II
Lead Analytics Engineer
Innodata Inc.
Canada
- $130,000 to $150,000 CAD / year
- Contract
We are hiring a Staff / Lead-level Data Analyst / Analytics Engineer to embed with the Monetization Data Science & Analytics team as a senior individual contributor and technical leader.…
Added 2 months ago
TF
Clinical Systems & Digital Implementation Lea
The Fertility Partners Inc
Toronto, ON
- $90,000 to $110,000 CAD / year
- Full-time
Technical literacy you are not an engineer, but you can hold a conversation with one. You understand integrations, data flows, and system dependencies well enough to escalate the right…
Added 3 months ago
EB
Staff Engineer, Infrastructure Solutions
EQ Bank
Toronto, ON
- Full-time
The Staff Engineer plays a key role within the Infrastructure Solutions team, defining infrastructure strategies and roadmaps with a strong emphasis on network engineering initiatives. This…
Added 1 month ago
Mission Engineer - Vancouver, British Columbia
Axon
BC
Building is the job. You will use Axon's platform - AI Era, agents, workflows, integrations, and data tools - to design, build, and ship new capabilities on site. You own outcomes end to…
Added 1 month ago
LS
Manager, Building Maintenance and Operations
Law Society of Ontario
Toronto, ON
- Full-time
Professional Engineer, LEED AP, and/or IFMA designations with facilities management experience implementing / managing BOMA certification program(s) is desirable.
Added 4 months ago
A
Staff Design Engineer, Canada
Ashby
Canada
- Full-time
This role truly expects you to design and code. Design Engineer at Ashby isn’t just a Frontend Engineer with new branding, nor is it a Designer vibe coding prototypes. Combining excellence…
Added 1 month ago
Manager, Building Maintenance and Operations
Law Society of Ontario
Toronto, ON
Professional Engineer, LEED AP, and/or IFMA designations with facilities management experience implementing / managing BOMA certification program(s) is desirable.
Added 3 months ago
S
Senior Staff Cloud Security Engineer | Operational Technology | Office of CISO
ServiceNow
Edmonton, Alberta · Alberta, CANADA
- Full-time
It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could…
Added 1 month ago
EC
Product Line Manager, Low Voltage Distribution Assemblies
Eaton Corporation
Milton, ON
- Full-time
…externally. Actively support cross-product line/business unit function’s to further enhance Eaton’s total solution of offering to the…
Added 4 months ago
A
Design Engineer - Canada
Ashby
Remote, Canada
- $121,000 to $248,000 CAD / year
- Full-time
- Remote
This role truly expects you to design and code. Design Engineer at Ashby isn’t just a Frontend Engineer with new branding, nor is it a Designer vibe coding prototypes. Combining excellence…
Added 2 months ago
MC
AI / Machine Learning Engineer
MCI Careers
Canada
- Other
We are seeking a highly analytical and technically skilled AI / Machine Learning Engineer to develop, deploy, and optimize machine learning solutions that drive business innovation and…
Added 1 month ago
Technical Director
Aecon
Toronto, ON · Montreal, QC
Lead the technical and design function for collaborative contracting models such as Alliance, Progressive Design-Build, CMGC, and other integrated or open-book delivery environments,…
Added 1 month ago
Engineering Manager – Data Platform, Lakehouse Foundation
Lyft
Toronto, ON
…lead a group of engineers responsible for the foundational data layer that all of Lyft's data systems and emerging AI workloads are built on. The team owns catalog and metadata management,…
Added 6 months ago
Senior Application Support Engineer (Trading & Market Data)
Solactive AG
Toronto, Ontario
Service Operations is a multidisciplinary and agile application support function responsible for real‑time system monitoring, technical troubleshooting of complex applications, incident…

No more jobs.

Project X

Staff Machine Learning Engineer – AI & Agentic Systems

Toronto, ON, Canada

Location: Toronto, Ontario Employment Type: Full Time Location: (Hybrid working model) Salary Range: $140,000-$160,000K CAD · Full-time

Apply About employer

Applications open in a new tab.

Job details

Pay: Location: Toronto, Ontario Employment Type: Full Time Location: (Hybrid working model) Salary Range: $140,000-$160,000K CAD
Job type: Full-time
Apply by: Dec 13, 2026
Experience: 8+ years of professional software, ML or AI engineering experience
Posting language: English
Posted: Sep 14, 2026

Original job description

Company: Project X Ltd.
Location: Toronto, Ontario
Employment Type: Full Time
Location: (Hybrid working model)
Salary Range: $140,000-$160,000K CAD

About Project X Ltd.

Project X Ltd. builds high-performing teams of talented, client-focused problem solvers who thrive on complex data challenges. Guided by our values of Care, Bravery, Excellence, and Innovation, we value people who take ownership of their work, step up when needed, and get things done.

Our team members are trusted advisors who collaborate closely, think creatively, and deliver practical, high-quality solutions for our clients. We look for individuals who are curious, accountable, eager to learn, and supportive of their teammates - because at Project X, our people are what make us great.

Role Summary

Project X Ltd. is seeking a Staff-level, hands-on software and ML engineering professional for an embedded, client-facing engagement supporting a team that automates marketing decisions and workflows. The successful candidate will design and build production integrations between AI agents, enterprise APIs, agent orchestration frameworks and managed AI services, enabling agent-driven workflows to safely create, launch, measure and manage business activity. This role requires deep, current fluency in LLMs, agent orchestration and the Model Context Protocol (MCP), and sits between Senior and Principal level. There are no direct reports for this position.

Key Responsibilities

Design and implement production integrations between AI agents, enterprise APIs and operational systems
Build production-grade services that let agents invoke tools and execute business actions reliably
Connect client owned automation APIs to an agent orchestration layer and third-party managed agents
Integrate LLM-based agents with internal and external services using APIs, MCP and related agent-tool patterns
Contribute to agent-to-agent and agent-to-tool communication patterns
Build for reliability: validation, error handling, retries, fallbacks, logging, observability and secure access
Participate in architecture and system-design decisions while remaining directly responsible for implementation

What We’re Looking For – Required Qualifications

8+ years of professional software, ML or AI engineering experience
Production experience building LLM-based applications and agentic systems, including agent orchestration and tool/function calling
Practical experience with the Model Context Protocol (MCP), including exposing or consuming tools/resources
Advanced Python development with strong production software-engineering practices (testing, CI/CD, Git)
API development and integration (REST, service-oriented architectures), plus distributed systems and event-driven patterns
Experience deploying and operationalizing machine learning models in production
Ability to design guardrails, validation and failure-handling patterns for non-deterministic AI workflows
Strong communication skills for an embedded, client-facing engineering environment

Nice to Have

Experience with LangChain, LangGraph or comparable agent frameworks (e.g., LangChain Deep Agents)
Experience with multi-agent or agent-to-agent architectures and awareness of their common failure modes
FastAPI, Docker, Kubernetes and a major cloud platform (AWS, GCP or Azure)
Vector databases/retrieval systems and ML lifecycle tooling (MLflow, Weights & Biases or comparable)
Slack APIs or other enterprise messaging integrations

Use of Artificial Intelligence in Recruitment:

Project X may use automated or AI-enabled tools as part of the recruitment and selection process. These tools may support activities such as resume screening, candidate matching, or application management. All hiring decisions involve human review and judgment.

Employment Equity, Accessibility & Accommodations:

Project X is committed to fostering an inclusive, accessible workplace. Accommodations are available upon request in accordance with the Accessibility for Ontarians with Disabilities Act (AODA) and the Ontario Human Rights Code.

Privacy Notice:

Personal information collected during the recruitment process will be used solely for recruitment purposes and handled in accordance with applicable privacy legislation.

How to Apply:

Please apply with your resume and cover letter.

Apply About employer

More about this job

Responsibilities

Design and implement production integrations between AI agents, enterprise APIs, and operational systems. Build reliable, production-grade services that enable agents to execute business actions and communicate effectively.

Requirements

Requires 8+ years of professional software or ML engineering experience with deep fluency in LLMs and agent orchestration. Candidates must have practical experience with the Model Context Protocol and advanced Python development skills.

Skills

Machine Learning
LLMs
Agent Orchestration
Model Context Protocol
Python
API Development
Distributed Systems
Event-driven Patterns
CI/CD
Git
System Design
Cloud Platforms
Docker
Kubernetes
FastAPI
Vector Databases

Visa sponsorship

Not detected in the job text

Keywords

Staff Machine Learning Engineer
AI
Agentic Systems
LLMs
Model Context Protocol
Python
API
REST
Distributed Systems
Event-driven
CI/CD
Git
LangChain
LangGraph
FastAPI
Docker
Kubernetes
AWS
GCP
Azure
Vector Databases
MLflow
Weights & Biases
Slack APIs
Automation
Software Engineering
System Design
Observability
Production-grade
Enterprise APIs

Report this job