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Added 11 mins ago
QT
Building Science Lead
QEA Tech
Toronto, ON · Greater Toronto Area, Canada
- Full-time
Execute on capacity planning, training support, onboarding assistance
Added 41 mins ago
MH
Sr. Full Stack Software Engineer (Backend - AI products)
MedMe Health
Remote, Canada
- $116,000 to $156,000 CAD / year
- Full-time
- Remote
Practical full-stack fluency - comfortable contributing in React/FE when needed, not a specialist
Added 56 mins ago
MH
Sr. Full Stack Software Engineer (Backend - AI products)
MedMe Health
Toronto, ON
- $116,000 to $156,000 CAD / year
- Full-time
Practical full-stack fluency - comfortable contributing in React/FE when needed, not a specialist
Added 1 hour ago
PI
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- Full-time
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FC
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Electrical Engineer Specialist
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- Full-time
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- Contract
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…to post-transaction value realization. Our approach is multi-specialist, leveraging deep industry knowledge and functional expertise to help clients achieve differentiated results in their…
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Seasonal Part Time Sales Associate
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Principal Applied AI Architect
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Toronto, ON · Montreal, QC · Canada - Montreal
- Full-time
Bilingual French & English to support relevant Canada regions.
Added 2 hours ago
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Calgary, AB
We are recruiting for Application Specialist (Sales) Co-op/Intern Students for 12 months minimum (starting May 2027) to work with our Measurement Instrumentation and Valves & Actuation…
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We are seeking a Talent Acquisition Specialist to support full-cycle recruitment across office, investment property, and property services roles. This role partners closely with hiring…
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Senior Social Science Specialist
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We are seeking a motivated and experienced Senior Social Scientist Specialist to join our growing team. The successful candidate should have a background in human environment consulting or…
Added 2 hours ago
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MS
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MedMe Health

Sr. Full Stack Software Engineer (Backend - AI products)

Remote, Canada

Remote

$116,000 to $156,000 CAD / year · Full-time

Apply About employer

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Job details

Pay: $116,000 to $156,000 CAD / year
Job type: Full-time
Workplace: Remote
Posting language: English
Posted: Nov 9, 2026

Original job description

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.

About MedMe Health

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.

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 → 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-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:

Initial screening conversation with the recruiter
Intro call with the hiring manager
Technical interview with the team
Product chat with our product manager
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.

Equal Opportunity & Accessibility

MedMe is a proud equal opportunity workplace that is committed to equal employment opportunity regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We're looking for motivated and compassionate people who can execute from the ground up and support the work that MedMe believes in.

MedMe is committed to developing an inclusive, barrier-free recruitment process and work environment. Should you require any accommodation, please inform us and we will work with you to meet your accessibility needs. For any accessibility-related assistance, requests for information in accessible alternative formats or to report any accessibility problems, please share in your application.

Learn More About MedMe

If you'd like more context on MedMe, our growth, and the team you'd be joining, here are a few highlights:

Globe and Mail - Canada's Top Growing Companies (2025): MedMe was recognized on The Globe and Mail's list of Canada's Top Growing Companies, based on audited three-year revenue growth. 🔗 Link
Forbes 30 Under 30: Our co-founders were named to Forbes 30 Under 30 for their work building MedMe. 🔗 Read more
C100 Growth Cohort (2025): MedMe is part of the 2025 C100 Growth Cohort, a selective community of Canada's top scaling companies. 🔗 Link

Compensation

The salary range for this role is CAD $116,000.00 - $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.

Apply About employer

More about this job

Responsibilities

Own a major AI or backend capability end-to-end, from design and implementation through production operation, monitoring, and iteration based on customer feedback. Improve LLM and voice workflows, reliability, observability, security, and engineering practices while turning ambiguous goals into shippable milestones.

Requirements

Requires strong backend fundamentals with TypeScript/Node.js, API design, and data modeling, plus practical React fluency and hands-on experience building production workflows with LLMs or agent frameworks. Candidates should have 6+ years of experience, a record of end-to-end project ownership, production operations and incident-response experience, and strong communication skills.

Skills

TypeScript
Node.js
API Design
Data Modeling
React
Large Language Models
Agent Frameworks
Voice Agent Workflows
Production Operations
Monitoring and Observability
Incident Response
Evaluation-Driven Development
Security
AWS
Google Cloud Platform
Python

Benefits

Health Benefits
Health Spending Account
Professional Development Budget
Work-From-Home Stipend
Company-Wide Holiday Closure
Company Retreats

Remote locations

United States

Remote locations (standardized)

United States

Visa sponsorship

Not detected in the job text

Keywords

TypeScript
Node.js
Python
React
API Design
Data Modeling
Large Language Models
LLM Agents
Agent Frameworks
Voice Agents
Retell
Speech-to-Text
Deepgram
Evaluation
Observability
Monitoring
Incident Response
Runbooks
Reliability
Security
Threat Modeling
Safe Data Handling
AWS
Google Cloud Platform
LangSmith
Claude Code
Gemini
CodeRabbit
Production Operations
Healthcare Technology

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