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Added 2 months ago
Senior Full Stack API Engineer
Questrade Financial Group
Toronto, ON
We’re looking for our next Senior Fullstack API Engineer. Could It Be You?
Added 2 months ago
W
Senior AI Engineer - Evisort AI
Workday
Vancouver, BC · Toronto, ON · Canada, BC, Vancouver
- Full-time
As a Senior AI Engineer, your primary focus will be building AI features and intelligent agents specifically for the Contract Lifecycle Management (CLM) domain, though you will also be…
Added 3 months ago
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Senior Security Engineer, Enterprise Security
Braze
Toronto, ON
- Full-time
As a Senior Security Engineer on the Enterprise Security team, you'll protect Braze employees, their assets, and work locations using various tools and technologies. Your responsibilities…
Added 3 months ago
A
Senior Product Manager
Ampliwork
Montreal, QC
- Full-time
Can prototype. You build working things inside a week using modern AI tools, even if you're not yet a production-grade engineer.
Added 2 months ago
T
Senior Machine Learning Engineer
TD
Toronto, ON
- Full-time
Analytics, Insights, & Artificial Intelligence
Added 3 months ago
OG
Technology Consulting Lead
Onni Group of Companies
Vancouver, BC
- Full-time
Strong technical breadth across automation, systems integration, data and analytics, and modern software tooling. You do not need to be an engineer, but you need to be able to hold your own…
Added 2 months ago
Senior Software Engineer, Places and Search
Lyft
Toronto, ON
We are hiring a Senior Software Engineer to join our Pickup, Places and Search team within the Mapping organization that is responsible for building, enhancing and maintaining the Rider and…
Added 2 months ago
Senior Machine Learning Engineer, Growth
HelloFresh
Toronto, ON
We are hiring a Senior Machine Learning Engineer to take our AI tooling to the next level by architecting and deploying the robust infrastructure behind our intelligent marketing…
Added 3 months ago
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Principal Cloud Security Engineer
BMO
Toronto, ON · BMOPLACE
- Full-time
We are seeking an enthusiastic and passionate professional for a Senior Cloud, AI & Data Security Engineer role who wants to design and implement security solutions for systems and services…
Added 3 months ago
VH
Senior Engineering Manager, Software
Verto Health
Remote, Canada
- $150,000 to $200,000 CAD / year
- Full-time
- Remote
…live in the health systems we serve, reliably and at scale. As Senior Engineering Manager, Software, you own that side of the work. You will build and lead the engineering team, set the bar…
Added 3 months ago
M
Staff AI Engineer
Maple
Toronto, ON
- Full-time
We're looking for a Staff AI Engineer to help our engineering teams build, evaluate, and scale AI features across the product - and set the bar for what great looks like.
Added 3 months ago
HT
Researcher - Speech & Acoustic AI
Huawei Technologies Canada Co., Ltd.
Markham, ON
- Full-time
…industry. The lab’s mission focuses on advancing artificial intelligence and related fields to benefit the company and society. Driven by impactful, long-term projects, the aim is to…
Added 3 months ago
A
Senior Engineer, Baggage Handling Systems
AECOM
Mississauga, ON
- $150,000 to $180,000 CAD / year
- Full-time
AECOM is seeking a Senior Engineer, BHS to join our team. This position is based out of Mississauga.
Added 3 months ago
DT
Senior Solutions Principal
Dell Technologies
Toronto, ON
- Full-time
· Comfortable presenting to large groups and senior stakeholders (CIO/CDO, Heads of Data/Analytics).
Added 3 months ago
EB
Staff Engineer (AI & Engineering)
EQ Bank | Canada's Challenger Bank
Toronto, ON
- Full-time
We are looking for a Staff Engineer, AI & Engineering who can bridge deep software engineering expertise with practical AI implementation. This role is ideal for a senior technical leader…
Added 3 months ago
AG
Underground Surveyor
Alamos Gold Inc.
Matachewan, ON
- Full-time
…accurate data collection and reporting. Working closely with the Senior Engineer and operations teams, you will enhance planning accuracy, operational efficiency, and overall mine…
Added 3 months ago
R
AI Solutions Architect (Senior and Principal)
RAVL
Toronto, ON
- Full-time
As a Senior or Principal engineer, you'll bring technical leadership to complex engagements, influence solution direction, mentor teammates, and help shape RAVL's growing AI engineering…
Added 3 months ago
R
AI Platform Engineer (Senior / Principal)
RAVL
Toronto, ON
- Full-time
We're looking for a Senior / Principal AI Platform Engineer to build the secure, scalable platform capabilities that enable enterprise AI delivery across our clients' organizations.
Added 3 months ago
AM
Design Verification Engineer
Advanced Micro Devices, Inc
Markham, ON
- Full-time
The Data Accelerator (DACC) team at AMD is seeking a Design Verification Engineer to join our IP verification team. This role is an excellent opportunity for an early-career engineer to…
Added 3 months ago
TR
Senior Machine Learning Engineer
Thomson Reuters
Toronto, ON · Canada, Toronto, Ontario
- Full-time
Thomson Reuters is seeking a Senior Machine Learning Engineer who will create the machine learning solutions development and technical implementation including configuration and integration…
Added 3 months ago
RB
Staff Software Engineer
Ritchie Bros.
Vancouver, BC
- Full-time
We are seeking a highly skilled Staff Software Engineer to join our Data Engineering team. In this senior technical leadership role, you will drive the architecture, design, and evolution…
Added 2 months ago
Senior Analytics Engineer
Asana
Vancouver, BC
The Data Science & Analytics team at Asana is how the company turns data into decisions - defining the questions that matter, surfacing the answers, and making sure insight is at the center…
Added 3 months ago
O
Senior Business Analyst, Data Integration & Performance Platform (12-Month Contract)
OMERS
Toronto, ON · Head Office Toronto
- Full-time
This is a senior role on a multi-year investment platform transformation that is replacing our core investment book of record with BlackRock Aladdin and building a new cloud data platform…
Added 3 months ago
Senior Product Manager, Fund Management
Purpose Unlimited
Toronto, ON
…series, any period. Today this work is spread across parallel analytics tools that are never reconciled against one another. You will consolidate it so that every externally-quoted…
Added 3 months ago
GN
Senior Product Manager
Ground News
Remote, Canada
- Full-time
- Remote
As a Senior Product Manager, you'll own core parts of the Ground News experience: how people discover and navigate coverage, how our bias, factuality, and source-intelligence signals show…

Maple

Staff AI Engineer

Toronto, ON, Canada

Hybrid

Full-time

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Applications open in a new tab.

Job details

Job type: Full-time
Workplace: Hybrid
Experience: 8+ years of software engineering experience, with 2+ years in a Staff applied AI or ML engineering role
Posting language: English
Posted: Aug 10, 2026

Original job description

Build better healthcare together

Maple’s purpose is to meet the world's healthcare needs. We’re Canada's leading on-demand healthcare platform, connecting patients with Canadian-licensed doctors, nurse practitioners and specialists. Today, we’re proud that over 8 million patients and 7,000 businesses and government partners have access to same-day, proactive and ongoing care. We enable people to take control of their health and push the boundaries of what’s possible every day.

Bold minds. Big impact. A career at Maple is about making an impact. We empower bold thinking, surround you with an inspiring team and are driven by a motivating purpose. Here, you’ll do work that changes lives - including your own.

\nThe role

We're looking for a Staff AI Engineer to help our engineering teams build, evaluate, and scale AI features across the product - and set the bar for what great looks like.

In this role, you'll design the evaluation, safety, and agent execution patterns that every squad builds to, stay hands-on with reference implementations and evaluation harnesses, and coach engineers across the org so squads can ship AI features safely and confidently. You'll work closely with Product Engineering, Platform Engineering, Product and our Security, Privacy, and Clinical partners - turning a fast-moving, regulated healthcare environment into a place where AI can scale with the quality patients and providers deserve.

Your responsibilities

As a Staff AI Engineer, you will:

Set the guardrails, evaluation strategy, and observability standards that keep AI feature quality, safety, and technical health high across the product
Shape the model and provider strategy, usage patterns, and cost controls that keep AI unit economics healthy as we scale
Define the evaluation strategy, agent execution architecture, and reference patterns that the teams building and maintaining AI features build to
Mentor and coach squads and engineers across the org so they can safely do more of the AI work themselves, against Maple's standards
Partner with Product and Engineering squads on agentic feature development as a senior technical partner and reviewer
Co-define the AI governance model with Security, Privacy, Legal, and Clinical partners - including review criteria, PHI handling expectations, and escalation paths
Translate technical AI choices - cost, clinician efficiency, patient experience, and risk - into clear business outcomes for executive and cross-functional audiences

What success looks like

In your first 90 days, you'll complete a landscape assessment of Maple's current AI features, evaluation coverage, cost profile, and governance gaps. You'll publish an initial AI standards and best-practices guide covering prompt and agent design, evaluation expectations, safety and PHI handling, and cost hygiene - and stand up an initial evaluation strategy and reference harness that at least one product squad has adopted for an in-flight feature. By month three, you'll have agreed on the ownership interface with Platform Engineering and built the working relationships across Product, Security, Privacy, and Clinical you'll rely on going forward.

Over your first 12–18 months, you'll roll out a company-wide agent execution architecture adopted by the majority of squads shipping AI features, stand up production-grade monitoring for quality, safety, cost, and latency with clear SLOs, and deliver measurable AI cost optimization against your v1 baseline. Every customer-facing AI feature will be covered by an approved evaluation harness and monitoring dashboard, and squads will be independently shipping AI features to Maple's standards

What you bring

8+ years of software engineering experience, with 2+ years in a Staff applied AI or ML engineering role
Demonstrated ownership of agentic or LLM-powered systems in production - including evaluation, guardrails, and cost and latency tuning at scale
A strong track record designing evaluation strategies for non-deterministic systems - offline evals, online evals, human-in-the-loop, regression harnesses
Deep understanding of agent execution patterns (tool use, planning, memory, orchestration frameworks) and their trade-offs
Experience defining AI quality and monitoring practices - quality metrics, hallucination and safety controls, drift detection, incident response
A builder's mindset - a product engineer with deep empathy for user and customer impact, comfortable getting hands-on with code, prototypes, and reference implementations
Proven ability to influence - mentoring senior engineers, setting standards across squads, and partnering with platform teams
Excellent written and verbal communication; you can translate confidently between executives, product, clinical and compliance stakeholders, and deep technical teams

Play to your strengths. Finding the right fit goes both ways - so this section is yours to complete. When you join, you'll add the unique strengths you bring that aren't captured above.

Our tech stack

We value strong architectural fundamentals and systems thinking over knowing every single tool in our stack, but here is what you will be working with:

Frameworks and agents: LangChain, LangGraph, CopilotKit (for Generative UI patterns)
Models and foundation services: AWS Bedrock, OpenAI / Anthropic APIs
Observability, tracing and evals: LangSmith and Langfuse for production telemetry, performance evaluation, and prompt iteration
Data pipelines for AI: ClickHouse and PostgreSQL powering evaluation datasets and analytics pipelines tied to LangSmith

Platform and infrastructure

Backend platform: Laravel (PHP) core platform integrated with specialized AI microservices and pipelines
Databases & cache: MySQL 8, Amazon DocumentDB, Typesense (search indexing), and Redis
Cloud & DevOps: Fully containerized, auto-scaling AWS infrastructure defined as code via Terraform and orchestrated through GitHub Actions
Observability and reliability: Datadog, BugSnag, and comprehensive testing across Jest, PHPUnit, WebDriverIO, and axe-core

How we'll support you

We recognise our people's health is everything. That's why we take care of them.

Maple for you and your family: 24/7 access to general practitioners, pediatrics and mental health therapy for you and your family. Care starts on day one
Comprehensive health coverage: Medical, dental and life insurance because your peace of mind - and your loved ones - matter most
Health spending account: Extra funds to cover the essentials that make a difference, from new glasses to specialised therapy
Flex benefits: An annual budget built for your growth and well-being. Use it for professional development, wellness expenses or a one-time boost to your retirement savings. You choose what matters most
Health days: Life happens. We provide 10 dedicated days for rest, medical appointments or caregiving, so you can show up at your best
Destination days: Work from anywhere. Enjoy the flexibility to work internationally in eligible countries for up to five days per year
Group retirement savings plan: We're here for the long haul. Invest in your future with our group retirement plan

The details

Job type: New role, full-time
Hiring manager: VP of Engineering
Location: Hybrid, 500 King Street West, 2nd Floor, Toronto, ON, M5V 1L9, OR remote within Canada
Start date: October 2026
Vacation: 4 weeks

Offers can vary depending on skills, experience and readiness to meet Maple's expectations for this level. We encourage open conversations about pay. If you have questions about how compensation works at Maple, you're welcome to ask at any point in the interview process.

We're committed to the safety and security of our platform. Please note that any offer of employment is subject to a criminal record check (EPIC) and identity verification. Additional checks, including employment or education verification, may be conducted depending on the role's requirements.

Use of artificial intelligence

We don't currently use artificial intelligence (AI) or automated tools to screen, assess or select candidates. Every application is thoughtfully reviewed by our Talent Acquisition team or hiring managers.

Apply About employer

More about this job

Responsibilities

The Staff AI Engineer will define evaluation strategies, safety guardrails, and agent execution architectures to scale AI features across the product. They will also mentor engineering squads and partner with cross-functional teams to ensure AI quality, cost-efficiency, and regulatory compliance.

Requirements

Candidates must have 8+ years of software engineering experience, including 2+ years in a Staff or Principal-level applied AI or ML role. A proven track record in productionizing LLM-powered systems and designing evaluation frameworks for non-deterministic systems is required.

Skills

Artificial intelligence
Machine learning
LLM
Agentic systems
Software engineering
Evaluation strategies
System architecture
Cloud infrastructure
Data pipelines
Observability
Mentorship
Technical leadership
Governance
Stakeholder management
Product engineering
Safety guardrails

Benefits

Medical insurance
Dental insurance
Life insurance
Health spending account
Professional development budget
Wellness expenses
Retirement savings plan
Health days
Destination days

Visa sponsorship

Not detected in the job text

Keywords

Staff AI Engineer
LangChain
LangGraph
CopilotKit
AWS Bedrock
OpenAI
Anthropic
LangSmith
Langfuse
ClickHouse
PostgreSQL
Laravel
PHP
MySQL
Amazon DocumentDB
Typesense
Redis
Terraform
GitHub Actions
Datadog
BugSnag
Jest
PHPUnit
WebDriverIO
Axe-core
Healthcare
Agentic AI
Governance
PHI handling
Unit economics

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