Senior Full Stack Software Engineer, Backend - AI products

MedMe HealthToronto, ON
CA$115,000 - CA$176,000Hybrid

About The Position

We're at an exciting point: agentic automation is moving from prototype to production, and we need a senior engineer who can own high-impact work end-to-end. You'll turn ambiguous goals into shippable milestones, operate what you build in production, and iterate fast based on real customer feedback — all in a team that moves quickly without sacrificing reliability. At MedMe, we are passionate about empowering pharmacists to provide services beyond just prescribing. Our mission is to build an all-in-one cloud-based platform that enables pharmacists to schedule, document, and manage clinical services at scale. With over 4,500 pharmacies using our software, we've facilitated more than 25 million patient services, transforming pharmacies into community health hubs across North America.

Requirements

  • Strong backend engineering fundamentals: TypeScript/Node services, API design, data modelling
  • Practical full-stack fluency — comfortable contributing in React/FE when needed, not a specialist
  • Hands-on experience integrating with LLMs or agent frameworks and building production workflows around them (evaluation, observability, safety)
  • Comfort operating production systems: debugging, incident response, monitoring, and follow-through
  • A track record of owning projects end-to-end — scope → design → build → ship → monitor → iterate
  • Strong written and verbal communication; able to join customer calls, debug issues from real workflows, and translate feedback into clear engineering plans

Nice To Haves

  • Experience building voice agent workflows (call flows, state management, reliability patterns) and integrating with vendors like Retell
  • Experience with speech-to-text workflows and vendors like Deepgram
  • Security/compliance-adjacent experience: threat modelling mindset, secure defaults, safe data handling
  • Front-end test automation and/or build/deploy automation experience
  • AWS/GCP and production operations experience
  • Comfortable using AI dev tools day-to-day (Claude/Claude Code, Gemini, CodeRabbit, LangSmith, etc.) while maintaining quality and safety

Responsibilities

  • Take primary ownership of a major capability (e.g., outbound/inbound concierge workflows, clinical assistant experiences, or a core LLM/voice platform subsystem) within your first 90 days
  • Ship hardening improvements into production — monitoring/alerts, runbooks, safer rollout strategies, and top error/latency reductions
  • Improve our LLM and voice agent workflows through durable architecture changes: tool boundaries, guardrails, and eval-driven iteration
  • Turn ambiguous asks into shippable milestones with clear communication and tight iteration loops — reduce "stuck" work for the team
  • Help the team scale delivery without losing speed by establishing better patterns, defaults, and maintainability standards
  • Raise the bar on operational maturity: incident follow-through, observability, and reliability
  • Contribute to security and compliance maturity through secure-by-default practices and sound judgment

Benefits

  • Comprehensive Health Benefits: Full coverage for dental, vision, physical, and mental health, plus a health spending account to cover additional wellness needs
  • Group RRSP: Secure your future with our Group Registered Retirement Savings Plan (RRSP)
  • Professional Development: We support your growth with a yearly budget dedicated to learning opportunities
  • Work-from-Home Stipend: A dedicated stipend to help set up and maintain your ideal home office
  • Office Closure for Holidays: Enjoy 1-2 weeks of company-wide office closure during the holidays
  • Company Retreats: Participate in exciting on-site team retreats for collaboration and bonding
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