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Added 1 month ago
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Modern Data Stack Engineer Consultant / Senior Consultant
Deloitte
Moncton, NB
- Full-time
Leveraging agentic AI to accelerate the software development lifecycle (SDLC), including code generation, automated testing, documentation, data pipeline development, and platform…
Added 1 month ago
D
Modern Data Stack Engineer Consultant / Senior Consultant
Deloitte
Vancouver, BC
- Full-time
Leveraging agentic AI to accelerate the software development lifecycle (SDLC), including code generation, automated testing, documentation, data pipeline development, and platform…
Added 1 month ago
D
Modern Data Stack Engineer Consultant / Senior Consultant
Deloitte
Winnipeg, MB
- Full-time
Leveraging agentic AI to accelerate the software development lifecycle (SDLC), including code generation, automated testing, documentation, data pipeline development, and platform…
Added 1 month ago
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Technical Program Manager, Alexa Daily Essentials
Amazon
Vancouver, BC
- Full-time
You'll own programs that span cloud services, device software, and AI/ML-powered features across multiple device surfaces. If you thrive on navigating technical complexity, coordinating…
Added 1 month ago
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Applied Scientist II, Alexa Daily Essentials Science and Analytics
Amazon
Vancouver, BC
- Full-time
Experience in professional software development
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Senior Cyber Defence Analyst
nesto
Canada
- Full-time
…experts. You'll work with a modern tech stack and AI-driven development frameworks designed to help you innovate, grow your skills, and accelerate your…
Added 1 month ago
LE
Agentic AI Researcher
LG Electronics
Toronto, ON
- Full-time
In this role, you will contribute to the development of self-learning, autonomous, and personalized AI agents that are embedded directly into LG products, including smart home platforms,…
Added 1 month ago
LE
Lead Agentic AI Researcher
LG Electronics
Toronto, ON
- Full-time
Toronto’s AI Lab is seeking a Lead Agentic AI Researcher to drive the development and application of agentic AI systems across LG Electronics’ global product portfolio. This role will lead…
Added 1 month ago
LE
Sr. Physical AI Research Scientist
LG Electronics
Toronto, ON
- Full-time
Familiarity with ROS1 and/or ROS2 for robot software development, system integration, and deployment pipelines is a plus
Added 1 month ago
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AI Pre-Sales Consultant
Thinkpivot
Toronto, ON
- Full-time
…LLMs to interact with external APIs, databases, and enterprise software to execute real-world tasks. Our clients expect working demonstrations, not slide…
Added 1 month ago
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FY27 Intern - MSIP Design Methodology Engineering Internship - Canada (16 months)
Qualcomm
Toronto, ON
- Full-time
…provide real-world experience, technical skills, and professional development opportunities, empowering you to make a meaningful impact and achieve your career goals. Join us for our 2027…
Added 1 month ago
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FY27 Intern - Low Power AI Software Development Internship - Canada (16 months)
Qualcomm
Markham, ON
- Full-time
…provide real-world experience, technical skills, and professional development opportunities, empowering you to make a meaningful impact and achieve your career goals. Join us for our 2027…
Added 1 month ago
Senior Technical Sourcer
Brex
Vancouver, BC
…banking with intuitive spend management, bill pay, and travel software, Brex enables founders and finance teams to accelerate operations, gain real-time visibility, and control spend…
Added 1 month ago
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Senior Solutions Engineer
Suger
Vancouver, BC
- $120,000 to $160,000 CAD / year
- Full-time
Suger helps B2B software companies sell through cloud marketplaces like AWS, Azure, GCP, Oracle, Alibaba, and Snowflake - now one of the fastest-growing enterprise sales channels.
Added 1 month ago
TU
Postdoctoral Research Fellow
The University of British Columbia
Vancouver, BC
- Full-time
…and the fellow will join a team composed of data scientists, software engineers, and medical trainees. This position is anticipated to be partly funded through a Mitacs Elevate…
Added 1 month ago
QF
Senior Manager, Advanced Credit Risk Modelling (Questbank)
Questrade Financial Group
Toronto, ON · North York, ON
- Full-time
Act as the principal hands-on developer to conceptualize, design, and build next-generation ECL, PD, LGD, EAD, and SICR models for secured and unsecured portfolios using modern ML…
Added 1 month ago
WT
Business Analyst
Wissen Technology
Montreal, QC
- Full-time
…technology stack. Our services include Industry Leading Custom Software Development, AI-Driven Software Engineering, Generative AI & Machine Learning, Real-Time Data Analytics & Insights,…
Added 1 month ago
UO
Postdoctoral Research Fellow
University of British Columbia
Vancouver, BC · PHSA | BC Cancer – Vancouver (BCCAN)
- Full-time
…and the fellow will join a team composed of data scientists, software engineers, and medical trainees. This position is anticipated to be partly funded through a Mitacs Elevate…
Added 1 month ago
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Senior Staff Software Engineer, Stripe Dashboard
Stripe
Toronto, ON
- Full-time
We're at an inflection point. AI is fundamentally changing how users interact with software, and we believe Stripe is uniquely positioned to reimagine what a merchant experience looks like…
Added 1 month ago
C
Software Engineer, Security
Cohere
Remote, Canada
- Full-time
- Remote
Software Development: Contributing to the core development of security features such as OIDC/OAuth flows and session management, ensuring North's AI agents are secure
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
Director, Data Science
Gore Mutual Insurance
Cambridge, ON · Toronto, ON
overseeing the development of analytical products and machine learning models, AI models, LLM workflows and agents, building and enabling analytics infrastructure including production model…
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
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AI Software Senior Analyst
Bombardier
Pointe-Claire, QC
- Full-time
…our industry and beyond. By prioritizing employee growth and development, we empower everyone to reach their full potential on their own terms, because the best work happens when you are…
Added 1 month ago
Senior Manager, Advanced Credit Risk Modelling (Questbank)
Questrade Financial Group
Toronto, ON
Act as the principal hands-on developer to conceptualize, design, and build next-generation ECL, PD, LGD, EAD, and SICR models for secured and unsecured portfolios using modern ML…

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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