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Added 8 mins ago
PG
Full Stack Engineer
Pacer Group
Toronto, ON
- $55 to $58 CAD / hour
- Contract
Deep experience in microservice design patterns (circuit breakers, resiliency, discovery, observability).
Added 38 mins ago
AI
Forward Deployed Engineer (Python/Pyspark Developer)
Apptoza Inc.
Toronto, ON
- Contract
We are looking for a senior Forward Deployed Engineer who combines production-grade software engineering, data engineering, AI application development, and client-facing consulting. You…
Added 38 mins ago
H
Software Engineer – Platform Security & Modernization
HCLTech
Montreal, QC
- $85,000 to $90,000 CAD / year
- Full-time
We are seeking a Software Engineer to join a global enterprise technology team responsible for the development, modernization, security, and operational reliability of mission-critical…
Added 1 hour ago
BB
Engineer, Cloud Operations
Bed Bath & Beyond
Brampton, ON
- Full-time
Sleep Country Canada is looking for a Junior Cloud Engineer to play a critical role in supporting day-to-day operations of the organization’s cloud infrastructure, helping ensure systems…
Added 1 hour ago
M
Staff Software Engineer, AI
Maple
Toronto, ON
- Full-time
We’re looking for a Staff Software Engineer, AI to own and ship the next generation of AI-powered healthcare experiences at Maple.
Added 1 hour ago
WD
Sr. Software Engineer - Emerging Technology
Walt Disney Animation Studios
Vancouver, BC
- $120,700 to $161,800 CAD / year
- Full-time
The Emerging Technology Sr. Software Engineer will collaborate with engineering and production teams to build supportive tooling and agentic workflows, focusing on templates and frameworks…
Added 2 hours ago
HS
Senior Java Software Engineer
Henry Schein One Canada
Surrey, BC
- Full-time
We are looking for a Senior Software Engineer to join our True North team and help build and evolve Dentrix Ascend for the US market.
Added 2 hours ago
M
Sr. AI/ML Engineer, RAIB
McKesson
Mississauga, ON
- Full-time
…scalable, and responsible AI solutions. We are seeking a Sr. AI/ML Engineer, RAIB to lead the development, evaluation, governance, and operationalization of machine learning and Generative…
Added 2 hours ago
CI
Principal Architect
Camis Inc
Guelph, ON
- Full-time
Establish standards for scalability, reliability, observability, security, performance, and cost optimization.
Added 2 hours ago
T
Senior Azure DevOps Engineer | CI/CD | Infrastructure as Code | Cloud Operations
ThoughtStorm
Toronto, ON
- Contract
We are seeking a Senior Azure DevOps Engineer to support enterprise cloud platforms and digital service delivery initiatives.
Added 2 hours ago
M
RQ11740 - DevOPS/Cloud Engineer - Senior
Maarut
Toronto, ON
- Contract
observability, security controls, secrets management, and operational tooling
Added 2 hours ago
V
Senior Software Engineer, AI Developer Experience
Vanta
Remote, Canada
- Full-time
- Remote
As a Senior Software Engineer on the AI DX team, you’ll help shape these systems from the ground up. You’ll work directly with engineers to understand friction in their workflows, build…
Added 3 hours ago
CE
Network Engineer
Capgemini Engineering
Mississauga, ON
- Full-time
We are seeking an experienced Network Engineer to audit, assess, implement, and deliver end‑to‑end network and connectivity solutions for enterprise and service‑provider customers. You will…
Added 3 hours ago
TT
Senior Integration Platform Engineer - AI Modernization
Tech Talent International
Montreal, QC · Greater Montreal Metropolitan Area
- $130,000 to $140,000 CAD / year
- Full-time
We currently have a role as an Senior Integration Platform Engineer - AI Modernization with our large consulting client, working for a large modernization project for a public sector, crown…
Added 3 hours ago
O
Data Engineer | Data & AI Technology
Obsidi®
Toronto, ON
- Full-time
The Data Engineer plays a critical role within the Enterprise Data & AI Technology organization. This organization drives data enabled decision making, AI innovation, and technology…
Added 4 hours ago
MS
Junior Software Engineer, Emergency Call Handling
Motorola Solutions
Ottawa, ON · Gatineau, QC
- Full-time
We are seeking a Software Engineer to join the team developing the VESTA 9-1-1 Call Handling solution. In this role, you will leverage agentic AI to build applications, automate DevOps and…
Added 4 hours ago
MS
Junior Software Engineer, Emergency Call Handling
Motorola Solutions
Gatineau, QC
- Full-time
We are seeking a Software Engineer to join the team developing the VESTA 9-1-1 Call Handling solution. In this role, you will leverage agentic AI to build applications, automate DevOps and…
Added 4 hours ago
SM
RQ00813 – DevOps/Cloud Engineer – Senior
S M Software Solutions Inc
Toronto, ON
- Full-time
We are seeking a Senior DevOps/Cloud Engineer to support the Ontario Clinical Report Exchange (OCRE) project. The successful candidate will have extensive hands-on experience with AWS cloud…
Added 5 hours ago
HO
Senior AI Engineer
Hydro One
Toronto, ON
- $90 to $110 CAD / hour
- Contract
We are looking for a Senior AI / Generative AI Engineer to design, build, and scale production-grade AI systems and intelligent agents, integrating advanced AI capabilities into enterprise…
Added 5 hours ago
G
Senior Software Engineer
GryphTech
Mississauga, ON
- Full-time
Senior Software Engineer (AI-First Engineering)Position Summary
Added 5 hours ago
LI
Java Application Developer
LanceSoft, Inc.
Montreal, QC
- Contract
This role is suited to a strong, hands-on software engineer who can contribute across the full application lifecycle, from requirements gathering and solution design through development,…
Added 5 hours ago
CS
Senior DevOps Engineer
CQ Search Group Ltd.
Toronto, ON
- Contract
Our client, the Ministry of Public and Business Service Delivery and Procurement downtown has a 12 month renewable contract for a Devops Engineer.
Added 6 hours ago
LT
Adobe Experience Manager (AEM) Engineer
Lorven Technologies Inc.
Toronto, ON
- Contract
Position: Adobe Experience Manager (AEM) Engineer
Added 6 hours ago
A
Prompt Engineer - IA générative
Astek
Montreal, QC
- Full-time
En tant que Prompt Engineer en IA générative, vous intégrerez une escouade de machine learning. Vous travaillerez avec les clients internes et les experts métier pour comprendre leurs…
Added 6 hours ago
MF
Staff Software Engineer
Magnet Forensics
Canada
- Full-time
We’re looking for a seasoned Staff Software Engineer who thrives on technical depth and broad influence. You’re as comfortable designing architecture as you are shipping code, and you care…

Maple

Staff Software Engineer, AI

Toronto, ON, Canada

Hybrid

Full-time

Apply About employer

Applications open in a new tab.

Job details

Job type: Full-time
Workplace: Hybrid
Experience: 8+ years of experience building and operating production software, with Staff-level scope or equivalent technical leadership
Posting language: English
Posted: Oct 26, 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 Software Engineer, AI to own and ship the next generation of AI-powered healthcare experiences at Maple.

You’ll work inside Product Engineering, partnering with Product, Design, Platform, Security, Privacy, and clinical experts to take ambiguous patient and provider problems from discovery to production. You’ll spend meaningful time designing, writing, reviewing, and operating production code for customer-facing AI capabilities. You’ll also help the wider engineering organization adopt the patterns that make those capabilities reliable, safe, observable, and cost-effective.

This is a hands-on, senior individual contributor role for an engineer who has spent the last few years actively building AI into real products - not just experimenting with models or defining high-level standards. You’ll have direct ownership of a high-impact product area while serving as a technical leader to influence how AI is built and scaled across Maple.

You responsibilities

As a Staff AI Engineer, you will:

Own a meaningful AI product area from problem discovery and technical design through implementation, launch, monitoring, and iteration
Partner with Product and Design to understand user needs, identify where AI creates real value, and turn ambiguous problems into simple, useful experiences
Design and build production AI systems using LLMs, agents, retrieval, tool calling, workflow orchestration, and human-in-the-loop patterns where appropriate
Write production code, review designs and pull requests, debug difficult issues, and participate in operational ownership after launch
Establish practical evaluation and monitoring approaches that measure product quality, safety, reliability, latency, and cost
Work with Platform Engineering to make the right decisions about shared services, model providers, infrastructure, and ownership boundaries
Help teams make sound trade-offs across user experience, clinical quality, privacy, security, reliability, and AI unit economics
Turn successful product implementations into reusable patterns that help other squads move faster and more safely
Mentor engineers and raise the technical bar through collaboration, design reviews, documentation, and example-setting
Partner with Security, Privacy, Legal, and Clinical stakeholders on responsible handling of PHI and safe deployment of AI capabilities
Communicate technical decisions and product trade-offs clearly to engineers, product leaders, executives, and cross-functional partners

What success looks like

In your first 90 days, you’ll build context on Maple’s product, users, AI capabilities, and engineering environment. You’ll partner with a product squad to ship or materially advance one meaningful AI capability, establish a pragmatic evaluation and monitoring baseline for it, and build strong working relationships with Product, Design, Platform, Security, Privacy, and clinical partners. You’ll also identify opportunities to turn what you learn into reusable engineering patterns

Over your first 12–18 months, you’ll demonstrate measurable product or workflow impact from the capability you helped ship and improve its quality, safety, reliability, latency, and cost through production learning. You’ll help multiple squads ship AI features that meet Maple’s standards for product quality, safety, observability, and cost. You’ll establish reusable approaches to evaluation, agent execution, monitoring, and operational readiness while staying close to users and product outcomes as your leverage increases across the organization.

What you bring

8+ years of experience building and operating production software, with Staff-level scope or equivalent technical leadership
Recent hands-on experience shipping AI- or LLM-powered product features as part of a product engineering team
Experience taking ambiguous product problems through technical discovery, architecture, implementation, launch, and iteration
Strong software engineering fundamentals and the ability to make pragmatic decisions across scalability, reliability, performance, security, and maintainability
Hands-on coding experience in a modern production language, with the ability to work across AI services and product systems
Experience designing APIs, data flows, services, integrations, or distributed systems that operate in production
A product mindset: you care about who uses what you build, what outcome it creates, and how it improves over time
Proven ability to influence technical direction across teams without relying on formal authority

Experience mentoring engineers and improving how teams design, build, test, and operate software
Clear written and verbal communication, including the ability to explain technical trade-offs to non-technical partners

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 technology environment

We use a mix of product engineering, AI, and platform technologies, including:

AI and application development

LangChain and LangGraph for orchestration and agent workflows
CopilotKit for generative UI patterns
AWS Bedrock, OpenAI, Anthropic, and other model providers
LangSmith and Langfuse for tracing, telemetry, evaluation, and prompt iteration
ClickHouse and PostgreSQL for evaluation datasets, analytics, and AI-related data pipelines

Platform and infrastructure

Laravel and PHP across the core product platform, with specialized AI services and pipelines
MySQL, Amazon DocumentDB, Typesense, and Redis
Containerized, auto-scaling AWS infrastructure defined with Terraform
GitHub Actions, Datadog, and BugSnag

The exact tools will evolve. We value architectural fundamentals, systems thinking, and the ability to choose the right level of complexity over familiarity with a particular framework.

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, 225 Richmond Street West, Toronto, ON
Start date: December 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

You will own the technical design and implementation of AI-powered healthcare products while partnering with cross-functional teams to ensure safety and reliability. Additionally, you will mentor engineers and establish reusable patterns for AI development across the organization.

Requirements

The role requires 8+ years of experience in production software engineering with a focus on AI or LLM-powered features. You must possess strong software engineering fundamentals and the ability to lead technical initiatives across teams.

Skills

Artificial Intelligence
LLMs
Software Engineering
System Architecture
Product Engineering
Technical Leadership
Mentoring
API Design
Distributed Systems
Cloud Infrastructure
Data Pipelines
Evaluation Metrics
Monitoring
Security
Privacy
Stakeholder Management

Benefits

24/7 access to general practitioners, pediatrics and mental health therapy
Medical insurance
Dental insurance
Life insurance
Health spending account
Flex benefits
Health days
Destination days
Group retirement savings plan

Visa sponsorship

Not detected in the job text

Keywords

AI
LLM
LangChain
LangGraph
CopilotKit
AWS Bedrock
OpenAI
Anthropic
LangSmith
Langfuse
ClickHouse
PostgreSQL
Laravel
PHP
MySQL
Amazon DocumentDB
Typesense
Redis
Terraform
GitHub Actions
Datadog
BugSnag
Healthcare
Product Engineering
Distributed Systems
API Design
Agent Workflows
Generative UI
Telemetry
PHI

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