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Added 1 month ago
PV
Supply Chain BI Solutions Analyst
Pet Valu
Markham, ON
- Full-time
Familiarity with Blue Yonder (JDA) and data mining applications (Tableau, Power BI, Excel, IBM Cognos) and languages (SQL, R, Python, VBA, DAX) and other basic coding languages.
Added 1 month ago
PX
Senior 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)
Added 1 month ago
EI
Manager - Marketing Analytics
Enercare Inc.
Markham, ON
- Full-time
…frameworks, and actionable insights. The position partners closely with business and technical stakeholders to modernize analytics capabilities, improve data governance, and deliver…
Added 1 month ago
A
Software Developer - Dev Ops
Aplin
Winnipeg, MB
- Full-time
Experience with scripting, such as PowerShell, Python, or similar
Added 1 month ago
A
AVP Quantitative Analysis - New Markets
Athene
Toronto, ON · Royal Bank Plaza North Tower
- Full-time
Advanced proficiency in Python and SQL for quantitative analysis, data extraction, and transformation, with experience using relevant financial, statistical, and analytical tools such as…
Added 1 month ago
Director, Data Science
Gore Mutual Insurance
Cambridge, ON · Toronto, ON
…Western Canada. During 2026, Gore will combine its operations with Unica Insurance, Beneva’s Ontario-based subsidiary specializing in niche commercial and personal insurance, creating a…
Added 1 month ago
SS
Staff AI Engineer
Safe Software
Remote, Canada
- $147,000 to $167,000 CAD / year
- Full-time
- Remote
…while enabling departments to deliver AI solutions aligned with common security and governance…
Added 1 month ago
Principal AI Architect
Open Text Corporation
Richmond Hill, ON
…member of our team, you will have the opportunity to partner with the most highly regarded companies in the world, tackle complex issues, and contribute to projects that shape the future of…
Added 1 month ago
Principal Software Developer
Open Text Corporation
Richmond Hill, ON
…member of our team, you will have the opportunity to partner with the most highly regarded companies in the world, tackle complex issues, and contribute to projects that shape the future of…
Added 1 month ago
AI Co-op Student (Winter 2027)
4AG Robotics
Salmon Arm, BC
Familiarity with Python, C++, Keras, image annotation tools, and basic computer vision theory.
Added 1 month ago
B
AI Software Senior Analyst
Bombardier
Pointe-Claire, QC
- Full-time
With our employees’ well-being top of mind, we offer a comprehensive and competitive Benefits Program, which includes the following:
Added 1 month ago
Senior Manager, Advanced Credit Risk Modelling (Questbank)
Questrade Financial Group
Toronto, ON
Excellent programming skills (Python, SQL, PySpark) and proficiency with development tools (Git, GitLab, VS Code).
Added 1 month ago
Robotics Software Co-op Student (Winter 2027)
4AG Robotics
Salmon Arm, BC
Experience with C++. Knowledge of Python and Typescript is a bonus.
Added 1 month ago
JI
Senior MLOps Developer | Développeur·euse MLOps senior
Jesta I.S.
Montreal, QC
- Full-time
We're looking for a Senior MLOps Developer to design, build, and maintain the data and machine learning pipelines that power our AI and analytics platforms. This is a deeply hands-on…
Added 1 month ago
C
NPI Test Engineer
Ciena
Montreal, QC
- Full-time
…supports growth and well-being - on and off the job. Connect with a career that…
Added 1 month ago
SDET Contractor
PlayStation Global
Waterloo, ON
…experiences under the PlayStation brand, a name synonymous with entertainment excellence and…
Added 1 month ago
E
Junior AI Developer
Ericsson
Ottawa, ON
- Full-time
Programming experience in Python or another modern programming language, with willingness to learn Python
Added 1 month ago
C
NPI Test Engineer
Ciena
Montreal, QC
- Full-time
…supports growth and well-being - on and off the job. Connect with a career that…
Added 1 month ago
SS
Vice President, Data, Analytics & AI
Sienna Senior Living
Markham, ON
- Full-time
Employee Share Purchase Plan with Company Match
Added 1 month ago
B
Manager - Commercial Operations & Analytics
Beghou
ON · Durham, ON
- Full-time
Coding skills (SAS, Python, SQL, etc.) and experience working with data visualization software such as Tableau or Power BI.
Added 1 month ago
BC
Senior Cloud Engineer - Google Firebase
BDO Canada
Toronto, ON
- Full-time
BDO is a firm built on a foundation of positive relationships with our people and our clients. Each day, our professionals provide exceptional service, helping clients with advice and…
Added 1 month ago
GT
Senior QA Automation Engineer
Global Technical Talent, an Inc. 5000 Company
Toronto, ON
- $90 to $100 CAD / hour
- Contract
Strong programming experience with Python, Perl, or a similar scripting language, with the ability to build reusable automation utilities and validation frameworks.
Added 1 month ago
S
QA Automation Engineer with AI
Synechron
Calgary, AB
- $75,000 to $85,000 CAD / year
- Full-time
…more. Over the last 20+ years, our company has been honored with multiple employer awards, recognizing our commitment to our talented teams. With top clients to boast about, Synechron has a…
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
S
Senior Cloud Operations and CI/CD Specialist
Syntronic
Ottawa, ON
- Full-time
Proficiency in developing backend services using Python, Node.js, TypeScript, and Spring, integrating Kafka, RabbitMQ, PostgreSQL, Oracle, and NoSQL databases while implementing monitoring…

Safe Software

Staff AI Engineer

Remote, Canada

Remote

$147,000 to $167,000 CAD / year · Full-time

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Job details

Pay: $147,000 to $167,000 CAD / year
Job type: Full-time
Workplace: Remote
Posting language: English
Posted: Sep 17, 2026

Original job description

About the role

Safe Software is looking for a Staff AI Engineer to design, build, and deploy production-grade AI systems across the organization.

This is a hands-on engineering role responsible for the full AI lifecycle, from data preparation and model development through evaluation, deployment, monitoring, and continuous improvement. You will work across generative AI, applied machine learning, retrieval, and agentic systems while establishing reusable architectures and engineering standards for complex production implementations.

About the Team

AI Enablement helps Safe Software adopt AI effectively and responsibly. The team builds shared capabilities, platforms, and engineering standards while enabling departments to deliver AI solutions aligned with common security and governance practices.

What You'll Be Doing

Design, build, evaluate, deploy, and operate end-to-end AI/ML systems in production, spanning data preparation, model development, training or fine-tuning, integration, application logic, monitoring, and continuous improvement.
Architect and build agentic and multi-agent systems, including orchestration, task routing, shared state, tool use, agent handoffs, human oversight, and failure recovery.
Design and build enterprise knowledge and retrieval systems across structured and unstructured data, using data pipelines, embeddings, hybrid search, reranking, metadata, and access-controlled retrieval.
Integrate AI solutions with enterprise applications, APIs, databases, data platforms, and governed tools.
Establish automated testing, evaluation, and observability practices covering task success, model and retrieval quality, hallucination risk, tool execution, safety, latency, cost, drift, and regression.
Design secure and responsible AI systems with least-privilege access, auditability, sensitive-data protection, and safeguards against prompt injection, data leakage, and unauthorized actions.
Create reusable architectures, libraries, and engineering standards, and provide cross-functional technical leadership through design reviews, mentoring, and stakeholder collaboration.
Evaluate emerging Large Language Models, frameworks, and platforms and make evidence-based adoption recommendations.

Qualifications, Skills, and Competencies

What We're Looking For

8+ years across software engineering and AI/ML, including 3+ years building and operating AI/ML systems in production at scale.
Strong software engineering skills, particularly in Python or comparable backend technologies.
Experience developing, adapting, fine-tuning, evaluating, deploying, and monitoring AI or machine learning models.
Applied AI experience in enterprise use cases such as chatbots, workflow automation, RAG, intelligent document processing, recommendation systems, or decision support.
Strong understanding of generative AI, LLMs, retrieval systems, agent-based architectures, and applied machine learning.
Experience with production data pipelines, APIs, model-serving infrastructure, testing, security, reliability, and observability.
Ability to explain complex technical decisions and tradeoffs to engineering teams and business stakeholders.

Nice to Have

Experience with agent and workflow orchestration tools such LangGraph, Semantic Kernel, AutoGen, CrewAI, or equivalent.
Experience with vector databases, semantic or hybrid search, embeddings, and reranking.
Experience with platforms such as Databricks, Snowflake, Amazon Bedrock, Microsoft Foundry/Azure AI, or equivalent.
Familiarity with MCP, A2A, self-hosted or open-weight models, and hybrid AI architectures.

What You Can Expect

When you choose a career with Safe Software, you’re also choosing…

Meaningful Work: Make a profound impact across our business, workplace and data integration product.
A Supportive Environment: Feel empowered to share your ideas and implement them with high autonomy and team support.
Social Responsibility: Become part of a team that finds meaningful ways to give back. Take paid time off to volunteer for one of our Safe-organized opportunities that align with our core community initiatives.
Learning & Career Development: We believe in your continuous learning and growth. Take advantage of an annual learning budget and training programs paid for by Safe.
Flexible Working Hours: Flexible and remote-friendly work arrangements to fit your lifestyle. Work when you want, and how you want to.
Work-Life Balance: There's no place for burnout at Safe. Maintain a healthy balance of your personal and work life without splitting yourself in two. Enjoy 3 weeks of vacation to recharge, plus an additional paid 6 seasonal days off per year.
Health & Wellness: Extended health, dental, health or lifestyle spending, and counseling benefits from day 1. That’s right, no waiting period.
Family is important: We are dedicated to supporting our employees through parenthood and offer a Parental Leave Top-Up Program for new parents through childbirth or adoption.
Shared Success: Share in Safe’s success with our bi-annual profit sharing and RRSP/TFSA matching program.
An Accessible Commute: Regardless of your commute method, we’re located close to public transit, and provide complimentary parking and bike storage for our team!

About Safe Software

Safe Software transforms organizations with FME, the only All-Data Any-AI Enterprise Integration Platform connecting all your data, anywhere, at any velocity.

With over 30 years of expertise and 25,000+ enterprise customers across 125+ countries, we simplify your data journey, wherever it leads.

Founded in 1993, Safe is headquartered in Surrey, BC with over 300 team members and counting. We’re always looking for talented individuals with diverse backgrounds who are determined to learn and grow. Are you ready to join the team?

Our Commitment to Diversity and Inclusion

Safe Software is an equal opportunity employer and we truly believe that innovation and strength begin with diversity and inclusion.

We welcome all candidates regardless of race, gender identity or expression, sexual orientation, age, ability, disability, national or ethnic origin, political belief, religion, or family status.

Should you require accommodations during the recruitment process, please contact hr_dept@safe.com.

Notice Regarding Use of Automated Tools in Hiring

At Safe Software, we use automated tools to help us process applications and identify qualified candidates. These tools may assist in screening resumes and summarizing interview content based on the information you provide. This helps our team review applications efficiently while ensuring every candidate is considered based on the requirements of the role.

Please be assured that the final hiring decision is always made by a member of our team. For more information on how we protect your privacy, please see our policy. If you have questions about this process, please contact us at hr_dept@safe.com.

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More about this job

Responsibilities

The Staff AI Engineer will design, build, and deploy end-to-end production-grade AI systems, including generative AI, agentic architectures, and retrieval pipelines. They will also establish engineering standards, provide technical leadership, and ensure the security and observability of AI implementations.

Requirements

Candidates must have 8+ years of experience in software engineering and AI/ML, with at least 3 years of production-scale experience. Strong proficiency in Python and deep expertise in LLMs, model fine-tuning, and enterprise AI integration are required.

Skills

Python
Generative AI
Machine Learning
LLMs
Retrieval systems
Agentic systems
Data pipelines
Model development
Fine-tuning
Observability
Software engineering
Cloud platforms
Vector databases
System architecture
Technical leadership
Security

Benefits

Paid time off
Annual learning budget
Training programs
Flexible working hours
Vacation time
Seasonal days off
Extended health benefits
Dental benefits
Lifestyle spending account
Counseling benefits
Parental leave top-up program
Profit sharing
RRSP/TFSA matching program
Complimentary parking
Bike storage

Visa sponsorship

Not detected in the job text

Keywords

Staff AI Engineer
Python
Generative AI
Machine Learning
LLMs
Agentic Systems
RAG
Data Pipelines
Observability
LangGraph
Semantic Kernel
Vector Databases
Databricks
Snowflake
Amazon Bedrock
Azure AI
Software Engineering
Model Fine-tuning
Enterprise Integration
System Architecture
Prompt Injection
Hybrid Search
Embeddings
Technical Leadership
API Integration
Governance
Security
Cloud Infrastructure
Automation
Data Integration

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