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Added 6 mins ago
S
Senior Manager - Environmental Design and Approvals
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Toronto, ON
- Full-time
We are seeking highly motivated and enthusiastic candidates for the position of Environmental Design & Approvals Manager.
Added 6 mins ago
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- Full-time
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Technical Specialist, Wastewater Treatment
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- $200,000 to $250,000 CAD / year
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…technical leadership across all phases of project development, from planning and feasibility studies through design, procurement, construction, commissioning, and operational…
Added 6 mins ago
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Added 20 mins ago
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Marketing & Communications Manager
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ON · Corporate ON (CAN)
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Talent Acquisition Specialist
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Technical Expert - Gas-Insulated Switchgear Substation Technologies
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Added 20 mins ago
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Strategy Business Partner
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Added 20 mins ago
Manager, Enterprise Solutions Engineering - Canada
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Added 20 mins ago
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Added 20 mins ago
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Licensed 310T Mechanic Afternoon Shift $10k sign on bonus
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Added 20 mins ago
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Felix

Engineering Manager, AI

Remote, Canada

Remote

$190,000 to $240,000 CAD / year · Full-time

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Job details

Pay: $190,000 to $240,000 CAD / year
Job type: Full-time
Workplace: Remote
Posting language: English
Posted: Oct 28, 2026

Original job description

About Felix

Founded in 2019, Felix is a digital healthcare company that puts the patient in control of their own health and wellbeing. We’re passionate about building technology and beautiful customer experiences to make healthcare more accessible (and more enjoyable) for all Canadians.

Felix is Canada's first end-to-end healthcare experience, providing online treatment, prescription delivery and ongoing care. We deliver care across a growing range of daily health categories such as weight loss, birth control, menopause, erectile dysfunction, acne, longevity and more.

Website: https://www.felixforyou.ca/

The Role
Our AI team builds applied AI products at Felix – LLM-powered experiences for patients, and the systems behind them that let a small team serve a growing patient base. As an Engineering Manager on the AI team, you will lead a team shipping AI into a regulated healthcare environment, where accuracy, safety and auditability matter as much as speed. You'll be responsible for delivering on and helping define the AI roadmap, partnering closely with Product, CX, Clinical and Pharmacy to decide where AI creates real leverage.

You will

Lead and grow a team of engineers building AI-powered features and platform capabilities across the patient and operations experience
Define, build, and optimize the systems behind our AI products; evaluation, prompt and model management, retrieval, guardrails, and monitoring
Set the bar for how we measure AI quality, and build the evaluation practices that let us ship changes with confidence
Own the operational side of running AI in production: model upgrades, cost and latency tradeoffs, and the observability to catch degradation before patients do
Partner with Clinical, Pharmacy and CX teams to keep humans appropriately in the loop, and to make sure what we build holds up to clinical and regulatory scrutiny
Lead team ceremonies and planning alongside product
Brainstorm features and initiatives with product and designers, helping set and guide the AI roadmap
Take part in all engineering-related and business-related decisions, with the expectation that you'll grow as a leader and engineer
Mentor and be mentored by other engineers

You have

3+ years as an engineering leader or manager
Hands-on experience shipping LLM-based or ML-driven products to production, not just prototypes
Real opinions about evaluation: how to measure quality, and how to avoid shipping on vibes
Strong judgement on where AI is the right tool
Leadership skills in unblocking and leading development teams
Clear communication around technical concepts and ability to collaborate with Product
Familiarity with evaluation, observability and experimentation tooling
Experience with both front-end and back-end technologies
Nice to have: experience in a regulated domain such as healthcare, fintech or insurance

Benefits

Full medical, dental and vision benefits
Maternity/paternity policy
4 weeks vacation (3 weeks anytime + 1 week during the holidays)
Competitive compensation
Stock option grant
Remote first, work from anywhere in Canada
Incredible culture powered by a highly collaborative and high-performing team
Large impact at an early-stage technology company
Professional development opportunities, working closely with founders and the senior leadership team

Open vacancy: This posting is for existing vacancies at the company.

Location: Toronto, Remote (Canada). We have an office in Toronto, but are currently working remotely and open to candidates from anywhere in Canada.

Our commitment to an inclusive team culture means embracing diversity and offering equitable access to opportunities and resources for people who might otherwise be excluded. During our recruitment process, we provide accommodations at any stage. Candidates can communicate their accommodation needs to the hiring manager directly or by emailing accessibility@felixforyou.ca.

Recruitment Fraud Alert
Please note: We have been made aware of fraudulent recruiting activities where individuals pose as Felix representatives.

Communication: We will only ever contact you from an official @felixforyou.ca email address.
Interviews: All interviews are conducted via Google Meet; we never interview via text-only platforms (like Telegram or WhatsApp).
Payments: We will never ask for credit card information, bank details, or payments for "equipment" or "onboarding" during the application process.

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More about this job

Responsibilities

Lead and grow an engineering team delivering AI-powered patient and operational products, while defining and executing the AI roadmap with Product, Clinical, Pharmacy, and CX partners. Build and operate reliable AI systems, establish evaluation and monitoring practices, and ensure production AI is safe, auditable, and effective in a regulated healthcare environment.

Requirements

Candidates need at least three years of engineering leadership or management experience and hands-on experience shipping LLM-based or machine-learning products to production. They should have strong judgment about AI use and evaluation, team leadership and communication skills, familiarity with evaluation, observability, and experimentation tools, and experience across frontend and backend technologies.

Skills

Engineering Leadership
Team Management
LLM-Based Product Development
Machine Learning
AI Evaluation
Prompt Management
Model Management
Retrieval
Guardrails
Monitoring And Observability
Experimentation
Production AI Operations
Cost And Latency Optimization
Frontend Development
Backend Development
Cross-Functional Collaboration

Benefits

Medical, Dental, And Vision Benefits
Maternity And Paternity Policy
Four Weeks Of Vacation
Competitive Compensation
Stock Options
Remote Work From Anywhere In Canada
Professional Development Opportunities

Remote locations

Canada

Remote locations (standardized)

Canada

Visa sponsorship

Not detected in the job text

Keywords

Artificial Intelligence
Large Language Models
Machine Learning
Healthcare Technology
Regulated Healthcare
AI Roadmap
AI Evaluation
Prompt Management
Model Management
Retrieval
Guardrails
Monitoring
Observability
Experimentation
Production Systems
Model Upgrades
Cost Optimization
Latency Optimization
Clinical Safety
Auditability
Human-In-The-Loop
Frontend Technologies
Backend Technologies
Product Collaboration
Team Leadership
Engineering Management

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