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Open nowPosted 5 days ago

Staff Software Engineer, AI

Maple14 open roles

Where
Toronto, Ontario
Work mode
Remote
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Your applicationOpen nowStaff Software Engineer, AIMaple · Toronto, Ontario
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The clock on this job

Early applications get read.

12.9% of postings close within 7 days. Measured by our own scanner across the market. Maple postings stay open a median of 19 days.

Share of postings closed within
  1. 2.2%1 day
  2. 4.7%3 days
  3. 12.9%7 days
  4. 21.0%14 days
  5. 35.6%30 days
  6. 58.5%60 days
This job: posted 5 days ago

Maple median: 19 days open

The posting

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.

The role

You responsibilities

  • 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

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

Our technology environment

  • 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

How we'll support you

  • 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
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