The Opportunity

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.

What You'll Do

• 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

About You

Must-have:

• 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 14 design 14 build 14 ship 14 monitor 14 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-have:

• 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

Success in This Role Looks Like

• 30 days: You've taken ownership of a major capability, shipped your first production improvement, and have a clear picture of where the biggest gaps are
• 60 days: You're iterating autonomously - turning ambiguous asks into milestones, closing incident/feedback loops, and improving observability across the stack
• 90 days: A production capability is noticeably more reliable and maintainable because of your work; the team is moving faster as a result
• Long-term: You're setting the engineering bar - better patterns, tighter operational discipline, and a system that scales without needing heroics

How We Hire

MedMe is committed to a fair and equitable hiring process for all candidates. To ensure that each candidate's journey is consistent and the selection process is unbiased, the team at MedMe will not be responding to any personal messages regarding this role or other opportunities. This role will follow the below Interview Process:

1. Initial screening conversation with the recruiter
2. Intro call with the hiring manager
3. Technical interview with the team
4. Product chat with our product manager
5. References and offer

How We Use AI

At MedMe, we use AI to help us organize and manage applications, so our team can spend their time where it matters most. Every CV is personally reviewed by a human being; AI helps us stay organized, not make decisions. We believe AI should make great people more effective, not replace the thinking and judgment that great hiring requires.

Perks at MedMe

• 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

Location

This is a hybrid position, based at our office located at the intersection of Adelaide and Spadina in Toronto, with in-person work required 2-3 days per week, aligned to operational needs. Occasional travel is expected for customer meetings, partner discussions, and industry events. Remote candidates may be considered on an exceptional basis based on experience.

Compensation

The salary range for this role is CAD $110,000.00 - $156,000.00 annually. Compensation is determined based on experience, skills, and alignment to the role's scope. We're happy to discuss the full details of our compensation package with candidates who progress through our interview process.