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Added 3 months ago
Q
Machine Learning Engineer, AI Processors (Sr to Staff)
Qualcomm
Markham, ON
- Full-time
Strong software development skills in Python and/or C++,
Added 1 month ago
JG
Gen AI (AWS) Developer
J&M Group
Toronto, ON
- Full-time
We are seeking a GenAI Developer with 5-8 years of experience in designing, developing, and deploying AI-driven solutions. The ideal candidate should have strong expertise in Generative AI,…
Added 1 month ago
E
Lead Full Stack Engineer
eBay
Toronto, ON
- Full-time
Contribute to a culture of continuous learning, Agile development, open-source collaboration, and rapid software delivery.
Added 1 month ago
DI
Test Automation Developer - Winter 2027 Co-op/Intern
Definity Insurance Company
Waterloo, ON
- Full-time
…business that deals with the validation and verification of software systems and data. Economical Insurance is seeking a technical Student in Quality Assurance to join us in this important…
Added 1 month ago
D
Delivery Lead
Datatonic
Remote, Canada
- $120,000 to $140,000 CAD / year
- Full-time
- Remote
Multiple years of experience within a consulting firm, Big Four or Technical Consultancy or software vendor focused on complex enterprise transformation.
Added 1 month ago
T
Manager, Web & Mobile Delivery (Bilingual)
TVO
Toronto, ON
- Full-time
…documentaries and learning-focused digital content. The Manager, Web Development, will lead a team of software developers to build, enhance, and support TVO’s web and mobile applications.…
Added 6 months ago
C
Staff Chip Design Engineer - FPGA
Cognichip
Toronto, Ontario
- $184,000 to $222,000 CAD / year
- Full-time
Drive the development of agentic AI systems capable of authoring syntactically and semantically correct RTL, manage IP integration, and constructing processor-based designs
Added 6 months ago
TA
Senior Machine Learning Engineer (GCP)
Tiger Analytics
Canada
- Full-time
This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual…
Added 6 months ago
F
Computer Vision & Behavioral Signal Analysis Intern (Healthcare Focus)
FairwAI
Remote, Canada
- Remote
…organization, which focuses on education, healthcare, and economic development. As a nonprofit, we are able to host unpaid interns in compliance with U.S. labor law and CPT/OPT eligibility…
Added 3 months ago
T
Technical Product Owner - AI & Machine Learning Solutions
TD
Remote, Canada
- Full-time
- Remote
Deep understanding of machine learning, generative AI, large language models, retrieval systems, model evaluation techniques, data engineering, MLOps, and software development practices.
Added 2 months ago
AI/ML Research Intern
DRW
Montreal, QC
Software best practices (agile, version control, experiment tracking, code review etc.)
Added 3 months ago
F
AI Engineer
FacilityOS
Remote, Canada
- $120,000 to $150,000 CAD / year
- Full-time
- Remote
The AI Engineer reports to the VP of Engineering and serves as FacilityOS's hands-on technical anchor for AI agent development. This role sits within the central engineering function that…
Added 1 month ago
T
Senior Software Engineer (Back-end/Server)
Trulioo
Vancouver, BC · Toronto, ON
- Full-time
Trulioo is looking for a Senior Software Engineer to lead the architecture and development of high-throughput, low-latency back-end services that power our Document and Biometric…
Added 1 month ago
Machine Learning Developer / Developpeur d'apprentissage automatique
SAP
Montreal, QC
We are seeking a motivated and curious Machine Learning developer to help build intelligent systems that power large-scale AI and large language model (LLM) capabilities. In this role, you…
Added 6 months ago
PH
Post Doctoral/Research Fellowship - Cancer Medical Imaging - BC Cancer Vancouver
Provincial Health Services Authority
Vancouver, British Columbia
- Full-time
Apply specialized software tools to perform quantitative imaging analysis.
Added 6 months ago
L
Specialist - Data Engineering
LTM
Ontario · Ontario, Canada
- $87,896 to $93,824 USD / year
- Full-time
6 to 10 years of relevant experience in Apps Development or systems analysis role
Added 6 months ago
K
Senior Software Engineer, AI
Klue
Toronto, Ontario
- $145,000 to $183,000 CAD / year
- Full-time
We're looking for a Senior Software Engineer to join our team in Toronto, focusing on building and optimizing state-of-the-art LLM-powered agents that can reason, plan and automate…
Added 6 months ago
K
Senior Software Engineer, AI (Agents)
Klue
Vancouver, British Columbia
- $145,000 to $183,000 CAD / year
- Full-time
…tools like Copilot, Curssor, Claude Code, or similar into your development workflow and can speak to how they've changed the way you build…
Added 6 months ago
JC
Machine Learning Engineer - IV (Biometrics)
Jumio Corporation
Montreal, Quebec
- Full-time
Lead the design and development of computer vision systems for biometrics (face attributes, detection, quality, and recognition)
Added 6 months ago
A
Senior GenAI Data Scientist (m/f/d)
AutoScout24
Toronto, Ontario
- $180,000 to $200,000 CAD / year
- Full-time
Strong coding skills in Python and experience with robust software engineering practices.
Added 2 months ago
F
Senior Threat Hunting Specialist
Fortinet
Burnaby, BC
- Full-time
…with global customers, internal engineering teams and product development groups. Our team culture emphasizes continuous learning, innovation, and a strong commitment to customer…
Added 1 month ago
C
Senior Test Automation Engineer – AI Testing
Cognizant
Montreal, QC
- Full-time
Added 2 months ago
OW
Oliver Wyman - Senior Lead AI Developer
Oliver Wyman
Toronto, ON
- Full-time
…unprecedented products across industries. As a Senior Lead AI Developer, you are primarily responsible for managing technical projects and helping teams design and build AI/ML systems and…
Added 1 month ago
Artificial Intelligence & Data Architect (Developer)
BMO
Toronto, ON · FCP
10+ years of combined experience in software development, data engineering, architecture and Artificial Intelligence.
Added 6 months ago
Q
Architect - Conversational AI
Quantiphi
Canada
- Full-time
Software and Product Development on languages like NodeJs, Python etc.

FacilityOS

AI Engineer

Remote, Canada

Remote

$120,000 to $150,000 CAD / year · Full-time

Apply About employer

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Job details

Pay: $120,000 to $150,000 CAD / year
Job type: Full-time
Workplace: Remote
Posting language: English
Posted: Jul 13, 2026

Original job description

About FacilityOS

FacilityOS is a fast-growing company redefining how facilities operate - bringing safety, security, and daily operations into one unified platform used by organizations around the world.

As we continue to scale globally, we’re building a team of driven, curious people who want to make an impact. You’ll be part of a dynamic, collaborative culture where individuals are trusted to take ownership, solve meaningful problems, and grow in their careers. Our team comes together in-office twice a week to connect, collaborate, and build momentum.

If you’re looking to do your best work alongside a great team in a high-growth environment, FacilityOS is the place to build your career.

About the Role

The AI Engineer reports to the VP of Engineering and serves as FacilityOS's hands-on technical anchor for AI agent development. This role sits within the central engineering function that acts as an integrator and enabler for the AI agents that individual departments design and own, building the pipelines, frameworks, and integrations that make department-defined agents production-ready, secure, and scalable.

Department leaders own the discovery, tooling choices, behaviour, and outcomes of their own agents. The AI Engineer's role is to build and maintain the underlying technical architecture, RAG pipelines, agent orchestration platforms, and API integrations into business systems such as Microsoft 365, email, and Teams that supports that department-level ownership, not to run agents on departments' behalf.

Key Responsibilities

Agent Architecture & Development

Design, build, and maintain the technical architecture underpinning FacilityOS's AI agents, including RAG pipelines, agent frameworks, and orchestration layers
Integrate department-selected AI tools and platforms into a consistent, secure, and supportable technical stack
Own the organization's approved AI/agent tooling stack in partnership with the VP of Engineering and CTO, evaluating new tools and frameworks as they emerge
Evaluate, select, and operate agent orchestration platforms (e.g., OpenClaw or comparable agent orchestration/runtime frameworks) that coordinate multi-step agent workflows, tool calls, and task hand-offs

Business Systems Integration

Connect agents into the core business systems departments already work in - Microsoft 365, Outlook/email, and Teams, so agents can read, draft, notify, and act within existing workflows rather than requiring new interfaces
Build and maintain secure authentication and permissioning patterns (e.g., Microsoft Graph API, OAuth) for agents acting inside business systems on a user or department's behalf
Establish reusable integration patterns for business-system connectivity so each department's agents don't require one-off custom builds

Agent Evaluation & Quality

Build and own the evaluation infrastructure that determines whether an agent actually works - eval harnesses, regression testing for prompts and workflows, and quality/accuracy metrics
Establish guardrails and mitigations for hallucination, unsafe outputs, and failure modes, with clear quality gates an agent must pass before deployment
Provide departments with reusable evaluation patterns so they can measure and improve their own agents' quality over time

Cross-Functional Enablement

Partner with the Data Engineer to ensure agents have reliable, well-structured data to orchestrate against
Act as the technical resource within the AI Tech/Integration SWAT, unblocking department-level technical issues without taking ownership of department agent decisions
Translate department managers' agent requirements into working technical implementations

Compliance & Deployment Readiness

Build agents to meet FacilityOS's ISO27001 and SOC2 Type 2 compliance requirements from the ground up
Prepare technical documentation and evidence required for VP Infosec's mandatory pre-deployment review of every agent build
Maintain security, monitoring, and logging standards across all deployed agents

Program Support

Provide technical input to the AI Program Lead's portfolio planning, flagging technical risk and feasibility early
Support "AI before headcount" evaluations by assessing the technical feasibility of automation before new roles are approved
Contribute to org-wide AI-readiness standards and documentation

Qualifications

Strong experience building production AI/ML systems, with direct experience in agent frameworks, RAG pipelines, or LLM-based applications
Hands-on experience integrating APIs, orchestration tools, and third-party AI platforms into production systems
Experience with agent orchestration platforms or frameworks (e.g., OpenClaw or similar) and integrating agents with business productivity systems such as Microsoft 365, Outlook/email, and Teams is a strong asset
Working knowledge of data pipelines and structured/unstructured data handling
Familiarity with security and compliance requirements for enterprise software (SOC2, ISO27001, or similar) is a strong asset
Comfortable working directly with non-technical department stakeholders to translate needs into technical solutions
Experience in a SaaS or enterprise technology environment preferred
Bachelor's degree in Computer Science, Engineering, or equivalent practical experience

Why work at FacilityOS?

We work hard and play hard and we do both with passion and respect for one another. Our company promotes a fast-paced, fun, friendly, and highly collaborative work environment that provides:

🩺Comprehensive health coverage

🏠A Hybrid work environment

💡Opportunity for advancement and growth

🍕 Catered Events, Snacks, Drinks – You won’t go Hungry!

🥳 Birthday and Life Celebrations

🎉 Two annual parties in a year

FacilityOS Commitment

We believe that a diverse team is the key to innovation and growth. We are an equal opportunity employer that value diversity at our company and encourage all candidates to apply. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

FacilityOS will accommodate individuals with disabilities through each stage of the recruitment and selection process. Please advise us of any needs when your interview is booked, and we will do our best to meet your needs.

Please note that all candidates must be legally eligible to work in the location in which you applied.

Background and Reference Checks

Any offer of employment may be conditional upon full background checks including a criminal record check, a credit check and employment and educational verifications. A reference check will also be conducted.

We may use artificial intelligence (AI) tools to support parts of the hiring process such as reviewing applications. These tools assist the recruitment team but do not replace human judgment. All advancement and hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us or click here.

FacilityOS thanks all candidates for their interest, however only those selected to continue in the process will be contacted.

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More about this job

Responsibilities

The AI Engineer designs and maintains the technical architecture for AI agents, including RAG pipelines and orchestration layers. They integrate these agents into business systems like Microsoft 365 and establish evaluation frameworks to ensure quality and security.

Requirements

Candidates need strong experience building production AI/ML systems and integrating APIs into enterprise environments. A bachelor's degree in Computer Science or Engineering is preferred, along with familiarity with SOC2 and ISO27001 compliance.

Skills

AI Agent Development
RAG Pipelines
LLM Applications
API Integration
Agent Orchestration
Microsoft Graph API
OAuth
Evaluation Infrastructure
Data Pipeline Management
SOC2 Compliance
ISO27001 Compliance
Technical Architecture Design
SaaS Development
Prompt Engineering
Regression Testing
Cross-functional Collaboration

Benefits

Comprehensive health coverage
Hybrid work environment
Opportunity for advancement and growth
Catered events
Snacks
Drinks
Birthday and life celebrations
Two annual parties

Visa sponsorship

Not detected in the job text

Keywords

AI Engineer
RAG
LLM
OpenClaw
Microsoft 365
Outlook
Teams
Microsoft Graph API
OAuth
SOC2
ISO27001
SaaS
Agent Orchestration
Enterprise Technology
Data Pipelines
Evaluation Harnesses
Hallucination Mitigation
Technical Architecture
API Integration
Production AI

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