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Open nowPosted 53 days ago

Staff AI Engineer

getmaple13 open roles

Where
Toronto, Ontario
Work mode
Remote
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Your applicationOpen nowStaff AI Engineergetmaple · Toronto, Ontario

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  4. 14.3%14 days
  5. 33.7%30 days
This job: posted 53 days ago

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

Your responsibilities

  • Set the guardrails, evaluation strategy, and observability standards that keep AI feature quality, safety, and technical health high across the product
  • Shape the model and provider strategy, usage patterns, and cost controls that keep AI unit economics healthy as we scale
  • Define the evaluation strategy, agent execution architecture, and reference patterns that the teams building and maintaining AI features build to
  • Mentor and coach squads and engineers across the org so they can safely do more of the AI work themselves, against Maple's standards
  • Partner with Product and Engineering squads on agentic feature development as a senior technical partner and reviewer
  • Co-define the AI governance model with Security, Privacy, Legal, and Clinical partners — including review criteria, PHI handling expectations, and escalation paths
  • Translate technical AI choices — cost, clinician efficiency, patient experience, and risk — into clear business outcomes for executive and cross-functional audiences

What success looks like

What you bring

  • 8+ years of software engineering experience, with 2+ years in a Staff applied AI or ML engineering role
  • Demonstrated ownership of agentic or LLM-powered systems in production — including evaluation, guardrails, and cost and latency tuning at scale
  • A strong track record designing evaluation strategies for non-deterministic systems — offline evals, online evals, human-in-the-loop, regression harnesses
  • Deep understanding of agent execution patterns (tool use, planning, memory, orchestration frameworks) and their trade-offs
  • Experience defining AI quality and monitoring practices — quality metrics, hallucination and safety controls, drift detection, incident response
  • A builder's mindset — a product engineer with deep empathy for user and customer impact, comfortable getting hands-on with code, prototypes, and reference implementations
  • Proven ability to influence — mentoring senior engineers, setting standards across squads, and partnering with platform teams
  • Excellent written and verbal communication; you can translate confidently between executives, product, clinical and compliance stakeholders, and deep technical teams

Our tech stack

  • Frameworks and agents: LangChain, LangGraph, CopilotKit (for Generative UI patterns)
  • Models and foundation services: AWS Bedrock, OpenAI / Anthropic APIs
  • Observability, tracing and evals: LangSmith and Langfuse for production telemetry, performance evaluation, and prompt iteration
  • Data pipelines for AI: ClickHouse and PostgreSQL powering evaluation datasets and analytics pipelines tied to LangSmith
  • Backend platform: Laravel (PHP) core platform integrated with specialized AI microservices and pipelines
  • Databases & cache: MySQL 8, Amazon DocumentDB, Typesense (search indexing), and Redis
  • Cloud & DevOps: Fully containerized, auto-scaling AWS infrastructure defined as code via Terraform and orchestrated through GitHub Actions
  • Observability and reliability: Datadog, BugSnag, and comprehensive testing across Jest, PHPUnit, WebDriverIO, and axe-core

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, 500 King Street West, 2nd Floor, Toronto, ON, M5V 1L9, OR remote within Canada
  • Start date: October 2026
  • Vacation: 4 weeks
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