About the role

Staff AI Engineer scaling safe, evaluated agentic AI across Maple’s Canadian on-demand healthcare platform. Defining architecture, governance, observability, and cost controls for product squads.

Responsibilities

Build, evaluate, and scale AI features across Maple's healthcare platform
Set guardrails, evaluation strategy, and observability standards for AI feature quality, safety, and technical health
Shape model and provider strategy, usage patterns, and cost controls
Define evaluation strategy, agent execution architecture, and reference patterns
Mentor and coach squads and engineers across the organization
Partner with Product and Engineering squads on agentic feature development as a senior technical partner and reviewer
Co-define AI governance with Security, Privacy, Legal, and Clinical partners, including review criteria, PHI handling expectations, and escalation paths
Translate technical AI choices into business outcomes for executive and cross-functional audiences
Assess current AI features, evaluation coverage, cost profile, and governance gaps during the first 90 days
Publish AI standards and best-practices guidance and establish an evaluation strategy and reference harness
Roll out company-wide agent execution architecture, production monitoring, SLOs, cost optimization, evaluation harnesses, and monitoring dashboards

8+ years of software engineering experience
2+ years in a Staff or Principal-level 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
Track record designing evaluation strategies for non-deterministic systems, including offline evals, online evals, human-in-the-loop, and regression harnesses
Deep understanding of agent execution patterns, including tool use, planning, memory, and orchestration frameworks
Experience defining AI quality and monitoring practices, including quality metrics, hallucination and safety controls, drift detection, and incident response
Product engineering mindset and hands-on experience with code, prototypes, and reference implementations
Ability to mentor senior engineers, set standards across squads, and partner with platform teams
Excellent written and verbal communication across executive, product, clinical, compliance, and technical audiences
Experience or familiarity with LangChain, LangGraph, CopilotKit, AWS Bedrock, OpenAI and Anthropic APIs, LangSmith, Langfuse, ClickHouse, PostgreSQL, Laravel, PHP, MySQL, Amazon DocumentDB, Typesense, Redis, AWS, Terraform, GitHub Actions, Datadog, BugSnag, Jest, PHPUnit, WebDriverIO, and axe-core
Successful criminal record check (EPIC) and identity verification; additional employment or education verification may apply depending on role requirements

24/7 access to general practitioners, pediatrics and mental health therapy for you and your family; care starts on day one
Medical, dental and life insurance
Health spending account
Annual flex benefits budget for professional development, wellness expenses or a one-time boost to retirement savings
10 dedicated health days
International work in eligible countries for up to five days per year
Group retirement savings plan
4 weeks vacation