Staff Software Engineer, AI

Canada·TorontoRemoteFull-Time Employeelead

Software EngineerSoftware Engineering

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Quick Summary

Key Responsibilities

you care about who uses what you build, what outcome it creates,

Technical Tools

Software EngineerSoftware Engineering

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.

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.

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

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

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.

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

Requirements

~1 min read

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.