Staff Software Engineer, AI at Maple | CA | Rezi

Staff Software Engineer, AI at Maple

Staff Software Engineer, AI

Maple · CA

1 weeks ago

Staff Software Engineer, AI

Maple · CA

12 days ago
Resume preview

Impress employers and recruiters.
Choose from hundreds of resume examples.

Target Resume Now
Resume preview

Tailor your resume to this Staff Software Engineer, AI role.

Rezi rewrites your resume against Maple's job description. Free.

Resume score gauge reading 58 out of 100

Don't guess if your resume is good enough.

See how it scores against the Staff Software Engineer, AI posting at Maple — free, in seconds.

About the Role

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. We enable people to take control of their health and push the boundaries of what’s possible every day. We are 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. 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. 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.

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

Requirements

  • 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

Skills

  • AI
  • LLMs
  • Agents
  • Retrieval
  • Tool calling
  • Workflow orchestration
  • Human-in-the-loop patterns
  • LangChain
  • LangGraph
  • CopilotKit
  • AWS Bedrock
  • OpenAI
  • Anthropic
  • LangSmith
  • Langfuse
  • ClickHouse
  • PostgreSQL
  • Laravel
  • PHP
  • MySQL
  • Amazon DocumentDB
  • Typesense
  • Redis
  • Terraform
  • GitHub Actions
  • Datadog
  • BugSnag

Location

  • Hybrid
  • 225 Richmond Street West, Toronto, ON

Work Type

  • Full-time
  • Hybrid

Experience Level

  • Staff-level
  • Senior

Benefits

  • 24/7 access to general practitioners, pediatrics and mental health therapy for you and your family
  • Comprehensive health coverage: Medical, dental and life insurance
  • Health spending account
  • Flex benefits: Annual budget for professional development, wellness expenses or retirement savings
  • 10 dedicated Health days
  • Destination days: Work from anywhere internationally for up to five days per year
  • Group retirement savings plan

About the Company

  • 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.

Equal Opportunity

  • We're committed to the safety and security of our platform. 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.
  • 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.