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Added 4 mins ago
RB
Senior Director, DevOps Product Management and Strategy
Royal Bank of Canada
Toronto, ON
- Full-time
The Senior Director of DevOps Product Management and Strategy is a transformation-focused strategic leadership role that will shape RBC's future as a technology-led financial services…
Added 18 mins ago
N
Senior Data Reliability Developer
nesto
Canada
- Full-time
Our Data team is the backbone of Nesto Cloud, managing the flow of data that powers Canada’s most advanced mortgage platform. As a Senior Data Reliability Developer, you won't just be…
Added 18 mins ago
N
Director of AI Delivery
nesto
Toronto, ON
- Full-time
…combine over 50 years of mortgage expertise with proprietary cloud and AI technology to transform the future of…
Added 18 mins ago
N
Director of AI Delivery
nesto
Montreal, QC
- Full-time
…combine over 50 years of mortgage expertise with proprietary cloud and AI technology to transform the future of…
Added 19 mins ago
T
Senior Solutions Engineer / Architect
Thri5
Toronto, ON
- $150,000 to $200,000 CAD / year
- Full-time
Comfort in front of senior stakeholders and hands-on with APIs, data, and cloud architecture
Added 48 mins ago
C
Solutions Designer, Splunk Montreal, Quebec, Canada
Cisco
Montreal, QC
- Full-time
Splunk is seeking a highly skilled and strategic Senior Solutions Engineer to join our Eastern Canada team. Splunk, a Cisco company, is building a safer and more resilient digital world…
Added 48 mins ago
R
Senior Director, DevOps Product Management and Strategy
RBC
Toronto, ON
- Full-time
The Senior Director of DevOps Product Management and Strategy is a transformation-focused strategic leadership role that will shape RBC's future as a technology-led financial services…
Added 1 hour ago
D
Principal Software Engineer, Docker Hardened Images
Docker
Remote, Canada
- Full-time
- Remote
Shape the integration test infrastructure and developer tooling strategy so that DHI's engineering platform scales with the catalogue and raises quality across the team.
Added 1 hour ago
S
Sales Account Executive - SAP Academy for Customer Success - Canada (Hybrid)
SAP
Vancouver, BC
- Full-time
…unique business goals, and desired outcomes, thereby driving cloud revenue growth through leading dedicated sales efforts to help customers solve their business challenges by positioning…
Added 1 hour ago
AI
Forward Deployed Engineer (Python/Pyspark Developer)
Apptoza Inc.
Toronto, ON
- Full-time
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 1 hour ago
TG
Senior Manager, AI and Data
TMX Group
Toronto, ON
- $165,000 to $175,000 CAD / year
- Full-time
Build, coach, and retain a high-performing, diverse team spanning data engineering, and AI engineering; manage hiring, performance, and career development.
Added 2 hours ago
Forward Deployed AI Engineer Sr - Analytics
Dayforce
Canada
Our award-winning Cloud HCM platform offers a unified solution database and continuous calculation engine, driving efficiency, productivity and compliance for the global workforce.
Added 2 hours ago
PV
Senior Director - Customer Analytics, Data & AI
Pet Valu
Markham, ON
- Full-time
Position: Senior Director, Customer Analytics, Data & AI
Added 2 hours ago
NR
Sr. Microsoft Dynamics Nav BC Developer
Northern Reflections
Toronto, ON
- Full-time
Reporting to the VP, Information Technology, the Senior NAV Solutions Developer is responsible for the design, development, enhancement, and ongoing support of the organization's Microsoft…
Added 2 hours ago
O
Sr. Systems Analyst
OpenText
Waterloo, ON
- Full-time
We are looking for a Senior Systems Analyst to support a range of OpenText products used across the enterprise. This role combines technical expertise, analytical and strategic thinking,…
Added 2 hours ago
O
Sr. Systems Analyst
OpenText
Mississauga, ON
- Full-time
We are looking for a Senior Systems Analyst to support a range of OpenText products used across the enterprise. This role combines technical expertise, analytical and strategic thinking,…
Added 2 hours ago
T
Intermediate Software Engineer
TekRek
Toronto, ON
- Full-time
This is a hybrid, full-time product engineering role for an intermediate full stack developer ready to own features end to end. You will take scoped work from requirements through design,…
Added 2 hours ago
SL
Student, Software Engineer - Security (Winter 2027)
Sun Life
Toronto, ON · Sun Life Toronto One York
- Full-time
Research emerging security technologies and contribute to the evaluation of security tools, processes and engineering approaches for cloud, API, DevOps, data and AI solutions
Added 2 hours ago
MS
AI Platform & Engineering Lead (Hybrid) / Chef(fe), Plateforme et ingénierie de l’IA (hybride)
Morgan Stanley
Montreal, QC
- Full-time
We’re seeking someone to join our team as an AI Platform & Engineering Lead in IST Operational Management to handle divisional GenAI use cases, including business use case enablement,…
Added 2 hours ago
P
Platform Developer
Plusgrade
Montreal, QC · CAN - Montreal
- Full-time
In Montreal, you'll help build the platforms and tools that enable engineering teams to deliver software reliably, securely, and efficiently. If you enjoy solving practical infrastructure…
Added 2 hours ago
Industry Advisor - Public Safety
Softchoice
Ottawa, ON
…real‑world outcomes. We do this through the delivery of secure cloud, AI, software and digital workplace solutions that enable agility, innovation and…
Added 3 hours ago
Bilingual Senior Specialist, Software Engineering (Environment Management - DEVOPS)
CMHC - SCHL
Ottawa, ON · Montreal, QC
Join the Platform Engineering team, in the Senior Specialist, Software Engineering & Environment Management position, where we’re modernizing how CMHC builds and operates software…
Added 3 hours ago
Senior Technical Writer (Toronto)
Okta
Toronto, ON
Work closely with Engineering, Product Management, Design, QA, Support, and members of the Information Development team to ensure quality and accuracy of content.
Added 3 hours ago
AI
Senior Full Stack Developer - Java, Spring, Angular
Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!
Toronto, ON
- Full-time
We’re seeking a Senior Full Stack Developer to join a high-performing engineering team building modern, customer-facing web applications and resilient backend services. You will work with…
Added 3 hours ago
TC
SENIOR IT/OT SOLUTIONS ARCHITECT
TMC Canada
Montreal, QC
- Full-time
…industriel, nous recherchons un Architecte de solutions IT/OT senior pour réaliser la cartographie des systèmes existants et définir une architecture cible cohérente, intégrée et…

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.

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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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