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Added 1 month ago
CI
Founding Engineer (AI & Agentic Systems)
Codexa Intelligence
Remote, Canada
- $80,000 to $110,000 USD / year
- Full-time
- Remote
We're looking to hire a founding engineer to own the intelligence layer of the product. This person lives entirely on the agentic and AI side of Codexa: the orchestration that decides what…
Added 1 month ago
P
Senior Cloud Security Engineer
Pixieset
Vancouver, BC
- Full-time
We’re hiring a Senior Cloud Security Engineer to strengthen and lead cloud security across Pixieset’s AWS, Cloudflare, and Kubernetes environments.
Added 1 month ago
CP
Tech Lead | Canada
Cuesta Partners
Remote, Canada
- $140,000 to $275,000 CAD / year
- Full-time
- Remote
Proven 8-10 years experience as a Data Engineer or similar role, with a strong background in designing and implementing data solutions.
Added 1 month ago
E
Sr. Software Engineer - Fullstack
eBay
Toronto, ON
- Full-time
We are looking for a Senior Software Engineer – Full Stack with 6+ years of professional software development experience to help build a new, scalable authentication platform.
Added 1 month ago
L
Data Architect
Lantern
Calgary, AB · Greater Calgary Metropolitan Area
- Full-time
Strong hands-on expertise across Azure Databricks, Microsoft Fabric, Power BI, and the Azure modern data platform.
Added 1 month ago
Senior Data & AI Consultant
Lantern
Edmonton, AB · Toronto, ON
Lantern is seeking a hands-on, client-facing Senior Consultant, Data & AI to design and deliver modern data, analytics, and AI solutions across Azure Databricks, Microsoft Fabric, Power BI,…
Added 1 month ago
Data Architect
Lantern
Calgary, AB · Edmonton, AB · Toronto, ON
Strong hands-on expertise across Azure Databricks, Microsoft Fabric, Power BI, and the Azure modern data platform.
Added 1 month ago
C
Software Engineer, Security
Cohere
Remote, Canada
- Full-time
- Remote
…enterprise security? Cohere's North team is seeking a Software Engineer with a focus on security to join our mission and make a significant impact. This isn't a review-and-advise role,…
Added 1 month ago
Product Engineer Intern 4 or 8 months - Winter 2027
Dayforce
Toronto, ON
Dynamic hands-on exposure to multiple business-units and stakeholders across Dayforce
Added 1 month ago
PX
Senior Machine Learning Engineer –AI & Agentic Systems
Project X
Toronto, ON
- Full-time
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…
Added 1 month ago
EI
Manager - Marketing Analytics
Enercare Inc.
Markham, ON
- Full-time
Strong hands-on experience with Microsoft Fabric. Experience building and maintaining enterprise-grade analytics engineering frameworks, including data models, reusable metrics, and…
Added 1 month ago
SS
Staff AI Engineer
Safe Software
Remote, Canada
- $147,000 to $167,000 CAD / year
- Full-time
- Remote
Safe Software is looking for a Staff AI Engineer to design, build, and deploy production-grade AI systems across the organization.
Added 1 month ago
SDET Contractor
PlayStation Global
Waterloo, ON
Hands-on experience developing automated tests using Python, Java, JavaScript, TypeScript, or a similar programming language.
Added 1 month ago
BC
Senior Cloud Engineer - Google Firebase
BDO Canada
Toronto, ON
- Full-time
BDO Canada's Google Cloud Advisory Practice is seeking a Senior Cloud Engineer - Google Firebase to help clients design, build, modernize, and scale cloud-native applications on Google…
Added 1 month ago
GT
Senior QA Automation Engineer
Global Technical Talent, an Inc. 5000 Company
Toronto, ON
- $90 to $100 CAD / hour
- Contract
…decision-making across the enterprise. As a Senior QA Automation Engineer, you will help build and evolve quality-control frameworks for complex data movement, large-volume data validation,…
Added 1 month ago
BS
Software Engineer
Beacon Software
Toronto, ON
- Full-time
This is a high-impact, hands-on software engineering role. You will spend your time working alongside domain leaders within Beacon to identify high-leverage workflows and deploy agentic AI…
Added 1 month ago
Développeur(euse) en Automatisation Assurance Qualité / Quality Assurance Automation Developer
OPAL-RT
Montreal, QC
Connaissances requises : Python, Linux, Jenkins, Groovy, Git/GitLab, scripts Shell, outils d’IA appliqués au développement logiciel.
Added 1 month ago
C
Presales Solutions Architect
Centrilogic
Toronto, ON
- Full-time
Hands-on Azure infrastructure work: landing zones, server and workload migrations, hybrid connectivity and core Azure networking.
Added 2 months ago
FI
Senior Engineer, Applied AI
Fulfillment IQ
Toronto, ON
- Full-time
A seasoned AI engineer (ninja-level) with hands-on experience in developing and deploying real LLM systems, who excels in environments with significant ownership responsibilities and values…
Added 1 month ago
D
Lead Data/Analytics Engineer
dutch
Vancouver, BC
- Full-time
We’re looking for a Lead Data/Analytics Engineer to own how Dutch measures its product and business. You’ll run the event instrumentation pipeline, build the models and metrics layers that…
Added 1 month ago
C
Staff Software Engineer, Fullstack
Cloudjobs
Toronto, ON
- Full-time
We’re looking for a Staff Software Engineer, Fullstack to join our Reverse ETL product engineering team.
Added 1 month ago
Machine Learning Engineer
ALS
Montreal, QC · CAN - QC - Montreal (Rue Saint-Nicolas)
We are seeking an Machine Learning Engineer to develop and apply advanced analytical and machine learning techniques that strengthen ALS Canada ltd scientific capabilities. You’ll work…
Added 1 month ago
V
Full-Stack Software Engineer
Viggle
Toronto, ON
- Full-time
Full-Stack Software Engineer new graduate - AI & 3D Creator Tools
Added 1 month ago
SE
Senior, Systems Development
Schneider Electric
Richmond, BC
- $114,750 to $162,000 CAD / year
- Full-time
As our portfolio grows and our development programs become increasingly complex, we are looking for a Senior Systems Engineer who can help bring structure, technical direction, and…
Added 1 month ago
O
Staff Machine Learning Engineer, SecureAI
Okta
Toronto, ON
- $168,000 to $231,000 CAD / year
- Full-time
In this role, you will join the Agent Access Policies sub-team within Okta Secures AI as a Staff Machine Learning (ML) Engineer to advance Okta's authorization capabilities. By replacing…

Project X

Senior Machine Learning Engineer –AI & Agentic Systems

Toronto, ON, Canada

Location: Toronto, Ontario Employment Type: Full Time Location: (Hybrid working model) Salary Range: $120,000-$150,000K CAD · Full-time

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Job details

Pay: Location: Toronto, Ontario Employment Type: Full Time Location: (Hybrid working model) Salary Range: $120,000-$150,000K 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: $120,000-$150,000K 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.

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More about this job

Responsibilities

The successful candidate will design and build production integrations between AI agents, enterprise APIs, and agent orchestration frameworks. They will also be responsible for ensuring system reliability through validation, error handling, and observability patterns.

Requirements

Candidates must have 8+ years of professional software or ML engineering experience with deep fluency in LLMs and agentic systems. Proficiency in Python, API development, and practical experience with the Model Context Protocol are required.

Skills

Machine Learning
Python
LLMs
Agent Orchestration
Model Context Protocol
API Development
Distributed Systems
CI/CD
Docker
Kubernetes
LangChain
LangGraph
Vector Databases
System Design
Cloud Platforms

Visa sponsorship

Not detected in the job text

Keywords

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

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