Staff Software Engineer, AI

Maple (getmaple.ca)

. Own an AI product area from problem discovery and technical design through implementation, launch, monitoring, and iteration .

Posted 10/26/2026full-timeToronto • CanadaLeadWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and operating production AI systems, with a strong focus on user experience, product outcomes, and continuous improvement. Proven ability to mentor engineers and influence technical direction while ensuring compliance with security and privacy standards.

Highest-signal resume keywords

AI Product DevelopmentLLM-Powered FeaturesSoftware Engineering FundamentalsAPI Design and IntegrationTechnical Leadership

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Production Software DevelopmentAI Systems DesignCoding in Modern LanguagesArchitecture and ImplementationDebugging and Code ReviewData Flow DesignDistributed SystemsMonitoring and EvaluationWorkflow OrchestrationHuman-in-the-Loop Patterns

Soft Skills

Clear CommunicationMentoringCollaborationDecision-MakingInfluencing Without Authority

Tools & Technologies

AI ServicesModel ProvidersInfrastructure ToolsMonitoring ToolsSecurity and Privacy Tools

Certifications & Qualifications

Criminal Record Check (EPIC)Identity Verification

Industry Keywords

Product EngineeringClinical QualityUser ExperiencePHI HandlingAI Unit Economics

Tech Stack

Tools & technologies

Distributed Systems

About the role

Key responsibilities & impact

Own an AI product area from problem discovery and technical design through implementation, launch, monitoring, and iteration
Partner with Product and Design to identify valuable AI use cases and turn ambiguous problems into useful experiences
Design and build production AI systems using LLMs, agents, retrieval, tool calling, workflow orchestration, and human-in-the-loop patterns
Write production code, review designs and pull requests, debug difficult issues, and provide operational ownership after launch
Establish evaluation and monitoring for product quality, safety, reliability, latency, and cost
Collaborate with Platform Engineering on shared services, model providers, infrastructure, and ownership boundaries
Balance user experience, clinical quality, privacy, security, reliability, and AI unit economics
Create reusable engineering patterns for other squads
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 PHI handling and safe AI deployment
Communicate technical decisions and product trade-offs to engineers, product leaders, executives, and cross-functional partners
Ship or materially advance an AI capability within the first 90 days and establish an evaluation and monitoring baseline
Demonstrate measurable product or workflow impact over the first 12–18 months and help multiple squads ship AI features meeting Maple’s standards

Requirements

What you’ll need

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 pragmatic decision-making across scalability, reliability, performance, security, and maintainability
Hands-on coding experience in a modern production language, working across AI services and product systems
Experience designing APIs, data flows, services, integrations, or distributed systems operating in production
Product mindset focused on users, outcomes, and continuous improvement
Ability to influence technical direction across teams without formal authority
Experience mentoring engineers and improving how teams design, build, test, and operate software
Clear written and verbal communication, including explaining technical trade-offs to non-technical partners
Criminal record check (EPIC) and identity verification required; additional employment or education verification may be conducted depending on role requirements

Benefits

Comp & perks

24/7 access to general practitioners, pediatrics and mental health therapy for you and your family, with care starting 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
Destination days: work internationally in eligible countries for up to five days per year
Group retirement savings plan
4 weeks vacation