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Added 1 month ago
Sr. Product Manager- StorageGrid
NetApp, Inc.
Vancouver, BC
Familiarity with Object Storage, Data Lakes, AI/ML, software development life cycle, security practices and other technologies pertinent to enterprise workloads.
Added 1 month ago
AS
Data Speaclist
AgileGrid Solutions
Canada
- Full-time
…experience in data engineering and enterprise data platform development, with a minimum of 3+ years of deep hands-on experience with Azure Databricks in production…
Added 1 month ago
U
Senior Forward Deployed Engineer (Hybrid, Canada)
Unit8
Montreal, QC
- Full-time
Collaborating with other software engineers, ML experts, and stakeholders in a cross-functional agile environment
Added 1 month ago
A
Associate Product Manager (Winter 2027)
AltaML
Toronto, ON
- Full-time
Added 1 month ago
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Associate Software Engineer (Winter 2027)
AltaML
Toronto, ON
- Full-time
Solid understanding of the Software Development Life Cycle (SDLC) and agile methodologies
Added 1 month ago
CC
Machine Learning Software Developer
Circle Cardiovascular Imaging
Calgary, AB
- Full-time
This is a critical role for a Machine Learning Engineer who will be a key part of our AI development team. You will take ownership of key components of machine learning systems, driving the…
Added 1 month ago
L
Senior Manager, AI/ML Engineering
lululemon
Vancouver, BC
- Full-time
…measurable business value. Your team sits at the intersection of software engineering and AI/ML - engineers who go beyond platform and MLOps work to apply existing AI models and algorithms…
Added 1 month ago
C
Senior AI Engineer
Comm100
Vancouver, BC
- $100,000 to $150,000 CAD / year
- Full-time
…performance-driven work environment, rooted in creativity, personal development, integrity and open communication. We work hard but always make time for…
Added 1 month ago
C
AI Engineer
Comm100
Vancouver, BC
- $80,000 to $120,000 CAD / year
- Full-time
…performance-driven work environment, rooted in creativity, personal development, integrity and open communication. We work hard but always make time for…
Added 1 month ago
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AI/ Prompt Developer
UST
Montreal, QC
- Full-time
The developer will be working within a machine learning team/squad. The team is working on developing Artificial Intelligence solutions including ML and Gen AI.
Added 1 month ago
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Services Professional (Early Career)
Ericsson
Toronto, ON
- Full-time
Develop AI-assisted software development and testing automation
Added 1 month ago
Q
Architect - Machine Learning
Quantiphi
Canada
- Full-time
8+ years of experience in Machine Learning, AI, Software Engineering, Data Science, or Solution Architecture.
Added 1 month ago
CC
Machine Learning Software Developer
Circle Cardiovascular Imaging
Calgary, AB
- Full-time
This is a critical role for a Machine Learning Engineer who will be a key part of our AI development team. You will take ownership of key components of machine learning systems, driving the…
Added 1 month ago
JG
Gen AI Developer
J&M Group
Halifax, NS
- Full-time
Advanced Python proficiency with strong software engineering fundamentals (version control, testing, code reviews)
Added 1 month ago
Machine Learning Engineer, Associate Director
Fitch Group
Toronto, ON
Added 1 month ago
UT
Automation Engineer 4- #26-23046
US Tech Solutions
Markham, ON
- $65 to $70 USD / hour
- Contract
…showcase successes as well as facilitate continuous career…
Added 1 month ago
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Lead Data Scientist
Sigmoid
Canada
- Full-time
…ownership. The position emphasizes a mix of client advisory, model development, cross-functional collaboration, and measurable business…
Added 1 month ago
WA
STEM PhDs and Technical Domain Experts
Weekday AI
Remote, Canada
- Contract
- Remote
…and Data Science, AI / ML Research, Computer Science, Game Development or Mechanical / Aerospace…
Added 1 month ago
Lead Consultant, Gen AI
Lovelytics
Toronto, ON
…Agents, Retrieval-Augmented Generation (RAG), LLM application development, prompt engineering / DSPy, GenAI-driven automation, and advanced NLP. Our ideal candidate blends technical depth…
Added 2 months ago
FG
Machine Learning Engineer, Associate Director
Fitch Group, Inc.
Toronto, ON
- Full-time
Added 1 month ago
PX
Staff Machine Learning Engineer – AI & Agentic Systems
Project X Ltd.
Toronto, ON
- Full-time
Advanced Python development with strong production software-engineering practices (testing, CI/CD, Git)
Added 1 month ago
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Software Developer, Pipeline Integration
Autodesk
Toronto, ON · Montreal, QC · Vancouver, BC · AMER - Canada - Ontario - Toronto - University Ave
- Full-time
26WD100629, Software Developer, Pipeline Integration
Added 1 month ago
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Machine Learning Developer
Autodesk
Toronto, ON · Montreal, QC · AMER - Canada - Ontario - Toronto - University Ave
- Full-time
Autodesk makes software for people who make things. If you’ve ever driven a high-performance car, admired a towering skyscraper, used a smartphone, or watched great science fiction films,…
Added 1 month ago
A
Forward Deployed Engineer
Arcadia
Toronto, ON
- $120,000 to $150,000 CAD / year
- Full-time
This is a hands-on engineering role combining software development, AI implementation, and direct collaboration with customers. You’ll own platform deployments end to end, build…
Added 1 month ago
PX
Staff Machine Learning Engineer – AI & Agentic Systems
Project X
Toronto, ON
- Full-time
Advanced Python development with strong production software-engineering practices (testing, CI/CD, Git)

Project X Ltd.

Staff Machine Learning Engineer – AI & Agentic Systems

Toronto, ON, Canada

Location: Toronto, Ontario Employment Type: Full Time Location: (Hybrid working model) Salary Range: $120,000-$160,000K CAD About Project X Ltd. · Full-time

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Job details

Pay: Location: Toronto, Ontario Employment Type: Full Time Location: (Hybrid working model) Salary Range: $120,000-$160,000K CAD About Project X Ltd.
Job type: Full-time
Apply by: Mar 13, 2027
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-$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 SummaryProject 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

Design and implement production integrations between AI agents, enterprise APIs, and operational systems to automate marketing workflows. Build reliable, production-grade services focusing on agent-to-tool communication, observability, and secure access.

Requirements

Requires 8+ years of software or ML engineering experience with a proven track record of building production LLM-based agentic systems. Proficiency in Python, MCP, and API integration is essential, along with the ability to design guardrails for non-deterministic workflows.

Skills

Machine Learning Engineering
LLMs
Agent Orchestration
Model Context Protocol (MCP)
Python
API Development
Distributed Systems
Event-Driven Patterns
CI/CD
Git
LangChain
LangGraph
FastAPI
Docker
Kubernetes
Vector Databases

Visa sponsorship

Not detected in the job text

Keywords

Machine Learning
AI Agents
LLM
Model Context Protocol
MCP
Python
REST API
Distributed Systems
Event-Driven Architecture
LangChain
LangGraph
FastAPI
Docker
Kubernetes
AWS
GCP
Azure
Vector Databases
MLflow
Weights & Biases
Slack API
CI/CD
Git
Agentic Systems
Tool Calling
Function Calling
Observability
Guardrails
Software Engineering

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