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. 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 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 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 In your first 90 days, you’ll build context on Maple’s product, users, AI capabilities, and engineering workplace. 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. 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. 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 ~ 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 We use a mix of product engineering, AI, and platform technologies, including: AI and application development AWS Bedrock, OpenAI, Anthropic, and other model providers 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 We value architectural fundamentals, systems thinking, and the ability to choose the right level of complexity over familiarity with a particular framework.

Comprehensive health coverage: Medical, dental and life insurance because your peace of mind—and your loved ones—matter most Health spending account: Use it for professional development, wellness expenses or a one-time boost to your retirement savings. We provide 10 dedicated days for rest, medical appointments or caregiving, so you can show up at your best Group retirement savings plan: Invest in your future with our group retirement plan New role, full-time Vacation: 4 weeks 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.

📌 Staff Software Engineer, Ai (Toronto)
🏢 Maple
📍 Toronto