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Added 10 mins ago
R
Lead Engineer, Facility Design
Raise
Calgary, AB
- $150,000 to $165,000 CAD / year
- Full-time
Reporting to the Manager, Project Engineering, the Lead Engineer, Facility Design is a senior engineering role responsible for supporting transmission facility design and connection…
Added 30 mins ago
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Senior Civil Engineer
Worley
Vancouver, BC
- Full-time
We are currently recruiting for a Senior Arctic Civil/Roads Engineer for transportation infrastructure in the Arctic and remote environments. The role provides technical leadership for the…
Added 30 mins ago
W
Senior Instrumentation Engineer
Worley
Calgary, AB · Edmonton, AB · Vancouver, BC
- Full-time
The Senior or Principal Instrumentation & Controls Engineer provides technical leadership and instrumentation and control (I&C) engineering expertise across projects for Worley and its…
Added 59 mins ago
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Senior Sub-System Design Engineer
Ericsson
Ottawa, ON
- Full-time
…products that enable mobile networks worldwide. We are seeking a Senior Sub-System Design Engineer to join our Product Systems & Integration (PSI) organization, specifically within the…
Added 59 mins ago
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Intermediate-Senior Electrical Engineer (Minerals & Metals)
Ausenco
Vancouver, BC
- Full-time
Our team in Canada is growing. We are currently recruiting for an Intermediate Electrical Engineer to join our Minerals and Metals Business line in the Vancouver office.
Added 59 mins ago
TU
Research Engineer - Instrumentation
The University of British Columbia
Vancouver, BC
- $6,631.67 to $9,533.25 CAD / month
- Full-time
Reports directly to the Principal Investigator, Dr. P. Kirchen and receives additional supervision from senior research staff. Will work in co-operation with other members of the research…
Added 59 mins ago
CG
Director, Operational Excellence & Process Engineering
Compass Group Canada
Mississauga, ON
- Full-time
…excellence initiatives across our CHASE (Corrections, Healthcare and Senior Living and ESS) sectors. This role will be responsible for driving continuous improvement, standardization,…
Added 59 mins ago
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Senior Instrumentation & Control Engineer
Ausenco
Vancouver, BC
- Full-time
Our team in Canada is growing. We are currently recruiting for a Senior I&C Engineer to join our Minerals & Metals Business line in the Vancouver office.
Added 1 hour ago
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Geotechnical Engineer
B2Gold - Nunavut
NU · Nunavut, Canada
- Full-time
B2Gold is a responsible international senior gold producer headquartered in Vancouver, Canada. Founded in 2007, today, B2Gold has operating gold mines in Canada, Mali, Namibia and the…
Added 1 hour ago
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Spécialiste Conformité EGSE & Tests (Senior)
SII Canada
Montreal, QC
- Full-time
The successful candidate works closely with engineering, quality, manufacturing, health and safety, and supplier teams to ensure that all applicable requirements are met throughout the…
Added 1 hour ago
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Machinist
Emerson
Brantford, ON
- Full-time
Work with cylinder shop lead hand, manufacturing engineer and supervisor to safely solve machining tasks as they are presented.
Added 2 hours ago
Intermediate Project Manager
Babcock & Wilcox
Saint John, NB
B&W Canada is currently seeking a motivated individual to fill the role in its construction business as an intermediate Project Manager/Project Engineer.
Added 2 hours ago
HA
Senior Engineer – Performance
Horizon Aircraft
Kawartha Lakes, ON · Lindsay, ON
- Full-time
Horizon is seeking an open, enthusiastic Senior Engineer – Performance. Your role involves developing, running, analysing and validating results of the platform performance models for the…
Added 2 hours ago
GC
Field Service Engineer
GWM CAPE TOWN
Permanent North American Gaeltacht, ON
- Full-time
Exposure to senior dealership management in the network. Able to engage with DPs and Franchise Executives
Added 2 hours ago
BS
Technical Lead (Full-Stack Engineering & AI)
Brainhunter Systems Ltd
ON · Ontario, Canada
- Contract
We are looking for a hands-on Technical Lead and Senior Full-Stack Engineer who can build across the front end, back end, experience engine, and AI/ML layers and establish the engineering…
Added 3 hours ago
SM
ML Engineer, Character Models [Diffusion] - Hapiko
Spin Master Ltd
Toronto, ON
- Full-time
…Hapiko is a Spin Master company, which means we pair our small, senior engineering team with the reach of one of the world's largest toy companies to pioneer the future of…
Added 3 hours ago
RA
Senior Azure Cloud Platform Engineer (Azure, Terraform, Power BI)
Recrute Action
Toronto, ON
- $50 to $55 CAD / hour
- Full-time
- On-site
<b>Job Description</b><br><span id="spandesc"><div><b>Senior Azure Cloud Platform Engineer (Azure, Terraform, Power BI)<br/></b></div><div><br/></div><div>Join a high-impact cloud…
Added 3 hours ago
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Senior Mechanical Engineer - $00 - $00 Yearly Salary
Sacr -Davey Engineering
North Vancouver, BC
- $139,800 to $171,700 CAD / year
- Full-time
- On-site
<div><div><div><div><div><div><div><div><span>Senior Mechanical Engineer</span><p></p><ul><li><b>Location</b>: Remote ? VANCOUVER BASED </li><li><b>Employment Type</b> Full Time…
Added 3 hours ago
RA
Senior Azure Cloud Platform Engineer (Azure, Terraform, Power BI)
Recrute Action
Toronto, ON
- $50 to $55 CAD / hour
- Full-time
- On-site
<span id="spandesc"><div><b>Senior Azure Cloud Platform Engineer (Azure, Terraform, Power BI)<br/></b></div><div><br/></div><div>Join a high-impact cloud transformation journey in the…
Added 3 hours ago
S-
Senior Mechanical Engineer
Sacr -Davey Engineering
North Vancouver, BC
- $139,800 to $171,700 CAD / year
- Full-time
- On-site
<div><div><div><div><div><div><div><div><span>Senior Mechanical Engineer</span><p></p><ul><li><b>Location</b>: Remote ? VANCOUVER BASED </li><li><b>Employment Type</b> Full Time…
Added 3 hours ago
PC
Intermediate‑Senior Civil Engineer Emissions Reduction and Compliance Group
Pinchin Canada
Mississauga, ON
- $95,000 to $125,000 CAD / year
- Full-time
Pinchin is seeking an Intermediate‑Senior Civil Engineer to join our Emissions Reduction and Compliance team in Mississauga, ON. The role reports to the Operations Manager. This role…
Added 3 hours ago
GS
Spécialiste Conformité EGSE & Tests (Senior)
Groupe SII
Montreal, QC
- Full-time
The successful candidate works closely with engineering, quality, manufacturing, health and safety, and supplier teams to ensure that all applicable requirements are met throughout the…
Added 3 hours ago
W
Senior Project Management - Land Development
WSP
ON · ON, Canada
- Full-time
Are you a visionary leader driven to deliver complex projects and help shape thriving communities? As a Senior Project Manager – Land Development & Municipal Engineering, you will lead…
Added 3 hours ago
C
Manager, Continuity & Response
Clio
Calgary, AB · Burnaby, BC · Vancouver, BC · Toronto, ON
- Full-time
…up in company results, you are the voice of resilience with senior partners, and you bring clarity to ambiguous, high-pressure situations. You'll stay hands-on - designing tabletop…
Added 3 hours ago
AS
Senior Site Reliability / DataOps Engineer
Apex Systems
Toronto, ON
- $40 to $60 USD / hour
- Contract
Apex Systems is seeking a Senior Site Reliability / DataOps Engineer to support a large-scale data modernization initiative within a major Canadian financial institution.

ContactMonkey

Applied AI Engineer

Toronto, ON, Canada

The salary range for this role is $140,000-$160,000.

Apply About employer

Applications open in a new tab.

Job details

Pay: The salary range for this role is $140,000-$160,000.
Experience: 3+ years of professional software engineering experience, including hands-on work with AI/ML or LLM-powered features.
Posting language: English
Posted: Oct 7, 2026

Original job description

Hey there! We're ContactMonkey 👋

Our mission? To power measurable employee engagement worldwide. And we'd love for you to join us!

About the job - Applied AI Engineer

Join the Engineering Team, where you'll help build our agentic future.

You'll work alongside senior engineers, Product, and our Chief Product & Technology Officer (CPTO) to design, prototype, and ship AI-powered capabilities quickly. This role is hands-on and iterative, focused on building production-grade agentic workflows that improve how internal communications are curated, designed, delivered, measured, and orchestrated.

This is an AI engineering role with real infrastructure ownership. You won't be handed a platform - you'll help build the one our AI features run on. If you like being close to both the model and the metal, this is that job.

Our stack, concretely: Ruby on Rails and Vue.js in a production SaaS codebase; Amazon Bedrock for model inference; AWS on EKS, provisioned with Terraform and Terragrunt across regions; Sidekiq for background work; MySQL and PostgreSQL. We're mid-migration to a GitOps deployment model with Argo CD and Karpenter. You'll touch most of this.

This is not "call an LLM and hope it works." It's careful system design, honest measurement, and shipping production systems that people rely on every working day.

This is a great fit if you've shipped LLM features in production, you're comfortable when the answer involves a Terraform plan rather than a prompt tweak, and you're ready to go deeper - with senior engineers around you to learn from.

Your impact

Agentic Design & Orchestration: Build agentic workflows and orchestration patterns (dynamic routing, tool-using agents, feedback loops) - contributing to the design and owning the implementation of well-scoped components.

Evals & Measurement: Own the eval harness for the features you ship. Build the datasets, the automated grading, and the offline regression suites that tell us whether a prompt or model change actually made things better. Raise the bar for evaluation across the team - judge design, offline and online metrics, and the judgment to know when a number is real. Turn production failures into evals that catch that class of failure next time.

Infrastructure for AI: Own work with SRE and build the infrastructure your features depend on, as code. Build the deployment path for AI workloads on EKS alongside our SRE and platform engineers.

Reliability, Cost & Safety: Keep our AI layer trustworthy as it grows. Instrument token spend, latency, and failure rates as first-class metrics. Design for the failure modes that matter - hallucination, timeout, rate limit, cost blowout - and make sure the system degrades gracefully instead of falling over. Respond when things behave unexpectedly in production.

Prompts & Model Configuration as Code: Treat prompts as versioned, reviewable, rollback-able artifacts rather than strings someone edited in a console. Own how we move a prompt or model change from idea to production safely, and how we back it out when it turns out worse.

Data Residency & Trust: We run regional deployments because our customers require it. Help make sure AI features respect those boundaries - that customer data stays in-region, model invocations are logged, and what we send to a model is what we intended to send. Think about prompt injection and PII exposure before an auditor does.

Execution & Experimentation: Take a defined problem and run with it. Contribute to our quarterly AI roadmap, run experiments to benchmark model value, and iterate systematically on prompts, retrieval, and model configurations based on what the data tells you.

Cross-Functional Partnership: Work closely with Product Management to turn product ideas into concrete technical work - both customer-facing features and internal workflow automation.

Grow With the Team: Participate actively in design discussions and code reviews. Ask questions early, escalate blockers, and share what you learn. Contribute to documentation practices (agents, markdown, Knowledge Bases) as we figure them out together.

Cultural Stewardship: Be a full participant in helping the engineering culture evolve as we grow.

About you

You hold a Bachelor's degree (or higher) in Computer Science, Statistics, Mathematics, or Engineering, or equivalent practical experience.
3+ years of professional software engineering experience, including hands-on work with AI/ML or LLM-powered features.
Strong fullstack experience - Ruby on Rails (or any other backend language/framework) and Vue.js/React (or any other framework) preferred. You're comfortable in a production SaaS codebase and can navigate unfamiliar systems without needing everything explained first.
You've written and applied infrastructure as code yourself. Terraform preferred - you've authored modules, read a plan carefully before applying it, and recovered from state that didn't match reality. Terragrunt, CloudFormation, or CDK experience transfers.
Working knowledge of AWS beyond the console: IAM (roles, policies, least privilege), VPC and networking basics, secrets management, and how a containerized workload gets deployed and observed. Kubernetes familiarity is a strong plus.
You've taken LLM work past a prototype at least once - you've thought about output quality, iterated on prompts against real usage, and dealt with the gap between "works in the notebook" and "works for customers."
You've built evaluation beyond trial and error - you can measure accuracy, safety, and latency, and you know when a benchmark win is real and when it's noise.
You understand how to structure LLM calls for reliability: using function calling and structured outputs to ground results, testing responses systematically, and designing for failure modes (hallucinations, latency, cost).
You can reason about what an AI feature costs to run - tokens, context size, retries, caching - and you treat that as an engineering constraint rather than someone else's problem.
You have familiarity with RAG architectures and vector stores, and an interest in multi-agent orchestration frameworks - you don't need to have run them at scale, but you should know the landscape.
You default to AI in your own workflow. You've already integrated modern AI tools into how you work, and you use them to move faster rather than as a crutch.
You prioritize a "question first, then answer" approach, thinking critically about problems before committing to a code path.
You bring intellectual humility, empathy, and strong listening skills to the team.
You are able to work collaboratively and independently.
You are comfortable with agile development.
You have excellent oral and written communication skills.

How you can stand out

You've built something agentic - an LLM reasoning across multiple steps, making decisions from tool outputs, adapting to feedback. Side projects count.
You've built an eval harness that changed a decision - where the numbers told you to ship, hold, or roll back, and you listened.
You've operated AI in production - you've been on the other side of a cost spike, a provider outage, a model deprecation, or a quality regression that only showed up under real traffic.
You have a bias toward simplicity - you're pleased when a well-structured baseline beats something more complex, and you know when not to reach for a model at all.
You've worked with Amazon Bedrock, or have opinions about model routing and provider abstraction earned the hard way.
You've worked within the email ecosystem or a similar high-scale communication platform.
You've built with AI coding agents and have a view on what they're good and bad at - we use them, and we're still figuring out the right practices.
You prototype fast, iterate quickly, and use data to change direction when the evidence says so.
You share what you learn with peers - writeups, demos, docs, internal talks.

What we bring to the table

🏥 100% employer-paid benefits + a Health Spending Account from day one
🌎 Work from anywhere in the world for up to 4 weeks
💰 Stock option plan-own a piece of our success
💲 RRSP Group Savings Plan to plan for your future
🏝 Generous vacation package to recharge and relax
📚 Personal development budget to fuel your growth
🧖 One personal day + two volunteering days to give back
🎂 Your Birthday off-celebrate on us!
🍎 Five health days per year to stay at your best
💼 Beautiful downtown Toronto office for hybrid work-fully stocked with all the best snacks

Compensation & Work Details

The salary range for this role is $140,000-$160,000. Compensation is thoughtfully determined based on your experience, skill set, and alignment with our internal compensation framework and internal equity.

We're always happy to answer questions about compensation throughout the hiring process.

This is a net new position for our AI Engineering Team based out of our downtown Toronto office, at King and Spadina. Our team works in the office 3x per week or as needed to promote collaboration.

Who We Are

Imagine being part of a team of brilliant minds, all shaping the future of workplace communication. Here at ContactMonkey, we're not just sending out traditional emails with our internal comms software; we're changing the way companies connect and communicate with their people. Brands like IKEA, Roku, KPMG, and countless others are using our solution to transform employee engagement.

Our all-in-one platform-featuring a drag-and-drop email builder, engagement tools, and analytics-makes it easy for businesses to create, send, and measure their internal email campaigns directly within Outlook or Gmail. This way, internal communications go from being ignored to binge-worthy, sparking more opens, clicks, and conversations.

We've been on an explosive growth streak over the past few years, and we're not slowing down anytime soon. Here's a bit of what we're proud of:

Ranked by the Globe & Mail as one of Canada's fastest-growing companies
Recognized in 2023, 2024 and 2025 Deloitte Technology Fast 50™ awards for revenue growth over the past four years
Recognized in 2023, 2024 and 2025 Deloitte Technology Fast 500™ as one of the fastest-growing companies in North America
Raised $55 million Series A financing in 2023

Diversity is our strength

At ContactMonkey, we are building diverse products and we need a diverse team to do that. We strongly encourage applications from everyone regardless of race, religion, colour, national origin, gender, sexual orientation, age, marital status, or disability status.

We are committed to creating an accessible experience for all candidates. If you require any accommodations or adjustments during the interview process or beyond, please inform us, and we will work with you to ensure the necessary support is in place. We are continually striving to enhance our accessibility practices and welcome any feedback or suggestions on how we can better serve candidates with accessibility.

AI Disclosure

We use AI to take notes during our interview. Applications and interviews are reviewed by our Talent Acquisition team. Our applicant tracking system utilizes AI for workflows and hiring process efficiencies.

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More about this job

Responsibilities

You will design, prototype, and ship AI-powered agentic workflows while owning the underlying infrastructure and evaluation harnesses. You will collaborate with product and engineering teams to ensure AI features are reliable, cost-effective, and performant in a production environment.

Requirements

Candidates must have at least 3 years of professional software engineering experience with hands-on work in AI/ML or LLM-powered features. A bachelor's degree in a technical field is required, along with strong full-stack proficiency and experience with infrastructure as code.

Skills

Ruby on Rails
Vue.js
Amazon Bedrock
AWS
Terraform
Kubernetes
LLM
Agentic workflows
Infrastructure as code
GitOps
Argo CD
MySQL
PostgreSQL
System design
Evaluation metrics
RAG

Benefits

Employer-paid benefits
Health spending account
Stock option plan
RRSP group savings plan
Vacation package
Personal development budget
Personal days
Volunteering days
Birthday off
Health days

Visa sponsorship

Not detected in the job text

Keywords

Applied AI
Ruby on Rails
Vue.js
Amazon Bedrock
AWS
EKS
Terraform
Terragrunt
Sidekiq
MySQL
PostgreSQL
GitOps
Argo CD
Karpenter
LLM
Agentic workflows
Infrastructure as code
SRE
Kubernetes
RAG
Vector stores
Prompt engineering
Evaluation harness
SaaS
Data residency
PII
Latency
Token spend
System design
Agile

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