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Added 13 mins ago
AP
Senior Data Engineer
Alpine Peak Management
Toronto, ON
- Contract
We are seeking a hands-on Senior Data Engineer for a contract opportunity supporting key enterprise data initiatives within a financial services environment.
Added 13 mins 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 13 mins ago
G
Experimentation Consultant
GAIN
Vancouver, BC
- $82,000 to $90,000 CAD / year
- Full-time
Reporting to: Senior Experimentation Consultant, Account Lead
Added 13 mins ago
TI
Experimentation Consultant
This is Gain Ltd
Remote, Canada
- $82,000 to $90,000 CAD / year
- Full-time
- Remote
Reporting to: Senior Experimentation Consultant, Account Lead
Added 43 mins ago
Forward Deployed AI Engineer Sr - Analytics
Dayforce
Canada
We are looking for a Senior Forward Deployed AI Engineer, Analytics to partner directly with analytics teams and business stakeholders to turn high-value analytical problems into practical,…
Added 43 mins ago
OB
Marketing Technology Lead Developer
O2E Brands
Toronto, ON · Greater Toronto Area, Canada
- Full-time
Background: Profile of a Staff Engineer or Senior Full-Stack Web Developer with 5-8+ years of web development experience and a proven track record of supporting marketing initiatives in a…
Added 58 mins ago
SL
Student, Software Engineer - Security (Winter 2027)
Sun Life
Toronto, ON · Sun Life Toronto One York
- Full-time
Under the guidance of a Senior Engineer, contribute to the development, testing and deployment of APIs
Added 58 mins ago
C1
Senior Data Engineer, Microsoft Fabric - 6 month contract-(Hybrid)
Central 1
Vancouver, BC · Toronto, ON
- Full-time
Central 1 is seeking a highly experienced Senior Data Engineer and Microsoft Fabric Subject Matter Expert (SME) to lead the design, implementation, and optimization of enterprise-scale data…
Added 58 mins ago
IC
Senior Compiler Engineer
Intel Corporation
Toronto, ON · CAN - - Toronto
- Full-time
The Compiler Engineering team in Data Center Group at Intel has an opportunity available for a Senior Compiler Engineer.
Added 1 hour ago
C1
Senior Data Engineer, Microsoft Fabric - 6 month contract-(Hybrid)
Central 1
Vancouver, BC
- $85 to $100 CAD / hour
- Contract
Central 1 is seeking a highly experienced Senior Data Engineer and Microsoft Fabric Subject Matter Expert (SME) to lead the design, implementation, and optimization of enterprise-scale data…
Added 1 hour ago
PG
Full Stack Engineer
Pacer Group
Toronto, ON
- $55 to $58 CAD / hour
- Contract
Job Title: Senior Full Stack Developer - Java / Angular
Added 1 hour ago
C1
Senior Data Engineer, Microsoft Fabric - 6 month contract-(Hybrid)
Central 1
Toronto, ON
- Contract
Central 1 is seeking a highly experienced Senior Data Engineer and Microsoft Fabric Subject Matter Expert (SME) to lead the design, implementation, and optimization of enterprise-scale data…
Added 1 hour ago
A
Senior SDET
Air-tek
Toronto, ON
- Full-time
We’re looking for a Senior Software Development Engineer in Test (SDET) to build and improve the infrastructure that makes reliable, scalable testing possible.
Added 2 hours ago
A
Instrumentation & Monitoring Quality Assurance Lead
Arcadis
Vancouver, BC
- Full-time
Arcadis is seeking a Senior Instrumentation and Monitoring (I&M) Quality Assurance Lead to establish and lead the independent I&M QA function supporting construction. The role is…
Added 2 hours ago
VT
Senior Data Engineer (Databricks) - Finance Data Modeling
Vision Talent Co.
Toronto, ON
- Contract
Senior Data Engineer - Databricks & Finance Data
Added 2 hours 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 2 hours ago
1
Marketing Technology Lead Developer
1-800-GOT-JUNK?
Vancouver, BC · Toronto, ON
- Full-time
Background: Profile of a Staff Engineer or Senior Full-Stack Web Developer with 5-8+ years of web development experience and a proven track record of supporting marketing initiatives in a…
Added 2 hours ago
S
Senior Software Engineer, Backend - Fraud Prevention
Sardine
Remote, Canada
- $180,000 to $206,000 CAD / year
- Full-time
- Remote
As a backend-focused Senior Software Engineer, you will play a pivotal role in designing, constructing, and maintaining APIs, services, and systems across our engineering team. This…
Added 2 hours ago
M
Staff Software Engineer, AI
Maple
Toronto, ON
- Full-time
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…
Added 3 hours ago
C
Sr. Database Automation Engineer
CIBC
Toronto, ON
- Full-time
…secure platforms that support critical enterprise services. As a senior-level database automation professional, you’ll provide operational support for automation platforms such as Ansible…
Added 4 hours ago
JC
Senior Databricks Engineer (ML/AI)
Jarvis Consulting Group
Toronto, ON
- $90 to $120 CAD / hour
- Contract
Jarvis Consulting has an immediate need for a Senior ML/AI Databricks Engineer.
Added 4 hours ago
VC
Consultant
Veritas Communications
Toronto, ON · Greater Toronto Area, Canada
- Full-time
At Veritas, we don’t just tell stories, we engineer influence. We move at the speed of culture, powered by insight, creativity, and a relentless commitment to earning attention in…
Added 5 hours ago
NI
Data Modeler
Nityo Infotech
Toronto, ON
- Contract
The Senior Data Modeller/Engineer will support Enterprise Payments’ operational data store by combining advanced JSON/MongoDB data modeling with cloud-based data engineering on the Rahona…
Added 6 hours ago
Senior Frontend Engineer, Conversions (f/m/x)
HelloFresh
Toronto, ON
As a Frontend Engineer in Conversions, you will build personalized web experiences that help users find the right path through our funnels. You will focus on tailoring our user journeys…
Added 6 hours ago
EC
Platform Engineer
Experis Canada
Toronto, ON
- Contract
Job Title: Senior Microsoft Power Platform Engineer

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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