Jobs in Canada

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Added 2 months ago
Director, AI & Data Science
Artefact North America
Montreal, QC
Solid grasp of AI system design: ML model lifecycle (MLOps), agents, tool use, evaluation harnesses, guardrails, and observability.
Added 2 months ago
IF
AI Developer Senior
Intact FC
Toronto, ON · Montreal, QC
- Full-time
We’re looking for a Senior AI Developer to join our growing team!
Added 2 months ago
Senior, AI & Data Science
Welcome to the Jungle
Montreal, QC
MLOps exposure: model versioning, pipelines, monitoring.
Added 2 months ago
Software Engineer, Full-Stack Applications, Associate Director (Python & React)
Fitch Group
Toronto, ON
Knowledge of MLOps practices and model deployment
Added 2 months ago
H
Data DevOps Engineer
HSBC
Toronto, ON
- Full-time
Participate in the deployment lifecycle of machine learning models and applications, including Machine Learning Operations (MLOps) and Large Language Model Operations (LLMOps) practices
Added 3 months ago
C
Senior Platform Engineering Specialist
CGI
Toronto, ON
- Full-time
…modern technology platforms that improve software delivery, developer productivity, operational resilience, security, and business…
Added 3 months ago
C
Senior Data Platform Engineering Specialist
CGI
Toronto, ON
- Full-time
Support enterprise adoption of Artificial Intelligence, MLOps, and Retrieval-Augmented Generation (RAG) capabilities by building the foundational data layers required to support them.
Added 3 months ago
H
Director, Data & AI (Hybrid)
Homebase
Toronto, ON
- $230,000 to $273,000 CAD / year
- Full-time
…recommendation systems and intelligent automation. Own the MLOps lifecycle from experimentation to…
Added 2 months ago
V
Machine Learning Engineer Lead
Vancity
Vancouver, BC · Toronto, ON
- Full-time
…lifecycle, including model development, feature engineering, MLOps, deployment automation, monitoring, and continuous improvement of machine learning systems. Success in this role is…
Added 2 months ago
VA
Member of Technical Staff - ML Operations
Veeda AI
Remote, Canada
- Full-time
- Remote
Experience in shipping production-quality developer tools.
Added 2 months ago
XR
AI Platform & Machine Learning Engineer
XYZ Reality
Remote, Canada
- Full-time
- Remote
Added 2 months ago
BS
Analyste, Habilitation & Gouvernance en IA/AI Enablement & Governance Analyst
Browns Shoes
Montreal, QC
- Full-time
Added 3 months ago
P
Back End Developer
PartsAvatar.ca
Montreal, QC
- Full-time
Added 3 months ago
A
Principal Software Engineer
Acceldata
Kitchener, ON
- Full-time
Experience with ML infrastructure, feature stores, or MLOps platforms.
Added 2 months ago
Director, AI & Data Science (Marketing Measurement & Effectiveness)
Welcome to the Jungle
Montreal, QC
Added 2 months ago
Senior Python Developer
Ampliwork
Montreal, QC
Montreal, Canada: Hybrid - 2 days per week in the office · Candidates must be based in either Montreal or India
Added 3 months ago
S
Frontend / UX Engineer - Robotics Data Operations, Kitchener, ON
Siemens
Kitchener, ON
- Full-time
UX for Technical Products: Experience designing or implementing interfaces for developer tools, data platforms, engineering workflows, AI tools, or industrial software.
Added 3 months ago
S
Agentic AI & DevOps Automation Engineer - Robotics Data Platform, Kitchener, ON
Siemens
Kitchener, ON
- Full-time
Improve Developer Experience: Create templates, tooling, documentation, and reusable automation to help engineers move faster with higher quality.
Added 3 months ago
S
Senior AI/ML & Robotics Platform Engineer
Siemens
Kitchener, ON
- Full-time
Experience with PyTorch ecosystem tooling, experiment tracking, MLOps, or evaluation pipelines.
Added 2 months ago
K
Senior Software Engineer, AI
Klue
Toronto, ON
- $140,000 to $230,000 CAD / year
- Full-time
MLOps tools: Weights & Biases, MLflow, Langfuse
Added 2 months ago
BC
AI/ML Ops Engineer
Blackpoint Cyber
Remote, Canada
- $131,000 to $164,250 CAD / year
- Full-time
- Remote
MLOps Workflows (MLFlow, Sagemaker Pipelines)
Added 2 months ago
Senior Manager AI Solutions Architecture
Diligent Corporation
Vancouver, BC
Familiarity with MLOps/LLMOps practices (model lifecycle, experiment tracking, evaluation, drift monitoring) and modern engineering practices such as containerization and CI/CD.
Added 3 months ago
TA
Lead AI Engineer
Tiger Analytics
Canada
- Full-time
The ideal candidate will combine deep expertise in AI engineering, distributed systems, cloud-native architectures, and MLOps with exceptional stakeholder management skills. This individual…
Added 3 months ago
B
AI Inference Engineer
Baseten
Montreal, QC
- $165,000 to $330,000 CAD / year
- Full-time
…applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing…
Added 3 months ago
Director of AI
PureFacts Financial Solutions
Toronto, ON
Establish best practices for MLOps, model lifecycle management, and deployment pipelines, including model registries, feature stores, and retraining pipelines

Ampliwork

Senior Python Developer

Montreal, QC, Canada

Apply on ats.rippling.com About employer

Applications open in a new tab.

Job details

Work location: Montreal, Canada: Hybrid - 2 days per week in the office
Posting language: English
Posted: Aug 17, 2026

Original job description

About the role

We are looking for a Senior Python Developer with strong core software engineering fundamentals and hands-on experience building production-grade, cloud-native systems.

This is a highly hands-on role for someone who can take end-to-end ownership of solutions - from architecture and development through deployment, testing, client interaction, and ongoing delivery.

While experience with Generative AI and agentic systems is important, we are primarily looking for a strong senior Python engineer who knows how to build reliable, scalable enterprise software.

This is an urgent hire with an immediate start date.

What you'll do

End-to-End Ownership: Drive the full development lifecycle of custom AI agents and agentic workflows, taking complete accountability for project delivery beyond individual components.
Cross-Functional Collaboration: Partner closely with Data Science, DevOps, Product, and Pre-Sales teams to architect and ship scalable solutions.
Client Interfacing & Communication: Directly communicate with clients to set priorities, manage the book of work, and effectively address urgent technical queries.
Cloud-Native Architecture: Build resilient, cloud-native microservices using modern Python frameworks, AWS infrastructure, and scalable database systems.
Testing & Quality Assurance: Drive high standards through comprehensive testing suites (Unit, Regression, Integration, and Performance testing) within CI/CD pipelines.
Multi-Project Execution: Comfortably balance, prioritize, and deliver on multiple client

What we're looking for

Strong professional experience as a Python software engineer/developer, ideally at a senior level.
Advanced hands-on proficiency with Python.
Strong experience with FastAPI and Pydantic.
Proven experience designing and delivering production-grade, cloud-native systems.
Hands-on experience with AWS and cloud architecture.
Experience working with PostgreSQL and NoSQL databases.
Strong understanding of APIs, microservices, and API security.
Strong knowledge of automated testing, including unit, integration, regression, and performance testing.
Experience with CI/CD pipelines and modern software engineering practices.
Practical experience with Generative AI architectures and/or agentic frameworks.
Ability to independently own projects from technical design through production deployment.
Strong problem-solving skills and the ability to work effectively across multiple concurrent priorities.
Strong communication skills and comfort working directly with internal stakeholders and clients.
A self-starter mindset with a strong sense of accountability and ownership.

Even better if you have

Core Technical Stack: Strong hands-on expertise in Python, FastAPI, and Pydantic.
GenAI Experience: Practical experience delivering solutions powered by Generative AI architectures and agentic frameworks.
Cloud Infrastructure: Solid hands-on experience with AWS and cloud-native architecture principles.
Databases: Proficiency with PostgreSQL and NoSQL database engines.
Security & Testing: Strong knowledge of API security, automated testing frameworks (Unit, Integration, Performance, Regression), and CI/CD pipelines.
Mindset & Leadership: High degree of self-initiative, strong client communication skills, and a proven track record of shipping end-to-end enterprise solutions.

Employment Type: Full-Time, Salaried Employee

Start Date: Immediate - Urgent Hire

Location:
Montreal, Canada: Hybrid - 2 days per week in the office
India: Fully Remote

Candidates must be based in either Montreal or India.

Why Join Us

At Ampliwork, you'll work on real-world enterprise AI systems where strong engineering directly impacts what we deliver to our clients.

You'll have the opportunity to take meaningful ownership, work across the full development lifecycle, and build production-ready solutions at the intersection of software engineering, cloud infrastructure, and Generative AI.

If you're a strong Python engineer who enjoys solving complex problems, taking ownership, and shipping quickly, we'd love to hear from you.

If you're a motivated and detail-oriented individual who's eager to contribute to cutting-edge technology, we encourage you to apply.

Apply on ats.rippling.com About employer

More about this job

Responsibilities

The Applied AI Engineer will lead the design and development of scalable, cloud-native software architectures and implement complex features using Python. They will drive the implementation of Generative AI solutions, including RAG pipelines and Agentic Workflows, while ensuring system observability and performance.

Requirements

Candidates must have 2-5 years of experience in software engineering with advanced proficiency in Python and a solid grasp of Deep Learning and NLP fundamentals. A proven track record in deploying enterprise-level systems and expertise in Generative AI technologies is required.

Skills

Python
Deep Learning
Machine Learning
Natural Language Processing
Generative AI
RAG Pipelines
Agentic Workflows
Cloud-native architecture
JavaScript
Vector databases
MLOps
Prompt engineering
Transformer models
System observability
Data chunking
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Visa sponsorship

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Keywords

Applied AI Engineer
Python
Cloud-native
Deep Learning
Machine Learning
Agentic Workflows
JavaScript
NLP
Generative AI
Transformer models
Embeddings
Tokenization
Prompt engineering
RAG
Vector databases
MLOps
Observability
Text-to-SQL
Small Language Model
Model Context Protocol

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Jobs in Canada