Staff Ai Software Engineer Toronto
Maple
Build AI-powered healthcare experiences at Maple in hybrid Toronto, using LLMs and production software engineering to serve patients and providers.This Staff Software Engineer, AI role sits within Product Engineering at Maple. You will own customer-facing AI capabilities while partnering with Product, Design, Platform, Security, Privacy, and clinical experts. The work spans discovery, architecture, implementation, launch, monitoring, and iteration.Key Responsibilities:
Own an AI product area from discovery through iterationDesign production systems using LLMs, agents, and retrievalWrite code, review designs, debug issues, and operate systemsMeasure quality, safety, reliability, latency, and costCreate reusable patterns and mentor engineers across MapleRequirements:
Eight-plus years building and operating production softwareRecent experience shipping AI or LLM product featuresStrong software engineering fundamentals and pragmatic technical judgmentHands-on coding experience in a modern production languageExperience influencing direction and mentoring engineers across teamsBring staff-level technical leadership, AI delivery experience, and product engineering judgment to Maple’s Toronto healthcare platform.
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Own an AI product area from discovery through iterationDesign production systems using LLMs, agents, and retrievalWrite code, review designs, debug issues, and operate systemsMeasure quality, safety, reliability, latency, and costCreate reusable patterns and mentor engineers across MapleRequirements:
Eight-plus years building and operating production softwareRecent experience shipping AI or LLM product featuresStrong software engineering fundamentals and pragmatic technical judgmentHands-on coding experience in a modern production languageExperience influencing direction and mentoring engineers across teamsBring staff-level technical leadership, AI delivery experience, and product engineering judgment to Maple’s Toronto healthcare platform.
#J-18808-Ljbffr
Vacancy posted 1 hour ago
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