Jobs in Canada

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Added 13 hours ago
AU
Software Dev Engineer, Pricing Shared Platform
Amazon.com.ca, ULC
Vancouver, BC
- Full-time
- Contribute ideas to technical designs, ask good questions, and grow your scope and autonomy over time with support from senior engineers and mentors.
Added 13 hours ago
M
Senior Data Architect
Miratech
ON
- Full-time
- Hybrid
Working Model: This is a hybrid role requiring 2 days per week in a downtown Toronto office
Added 13 hours ago
HW
Senior AI Developer (RAG, Agents & Microservices) | Onsite | Salary in Euros | Ontario Canada
HR Ways
ON
- Full-time
Job Title: Lead / Senior AI Developer (RAG, Agents & Microservices)
Added 13 hours ago
Senior Customer Engineer - Calgary, AB
Cloudflare
Calgary, AB
Added 13 hours ago
RC
Senior Data Architect/Modeller
Randstad Canada
Toronto, ON
- Contract
We are seeking an experienced Senior Data Architect/Modeller to lead the review, analysis, and design of robust data architectures within complex, distributed application environments. In…
Added 13 hours ago
S
Staff Software Engineer
Senpilot
Toronto, ON
- Full-time
- Hybrid
What you will find in our current tech stack: TypeScript, Python, Node.js, GCP, Kubernetes, React, PostgreSQL and Temporal.
Added 13 hours ago
IG
Senior Financial Analyst / Associate Finance Manager Potential – Direct Fulfillment
Insight Global
Kleinburg, ON
- $95,000 to $105,000 CAD / year
- Contract
We are seeking a Senior Financial Analyst / Associate Finance Manager-level professional to support a Direct Fulfillment and customer delivery organization.
Added 13 hours ago
IG
CONFIDENTIAL: AI Engineer
Insight Global
Vancouver, BC
- $100,000 to $300,000 CAD / year
- Contract
5+ years of software engineering experience with strong Python development skills.
Added 13 hours ago
Senior AI Automation Engineer
Later
Vancouver, BC
…Later Social, and Later Creator), with regular exposure to senior leadership and broad visibility into how the company actually…
Added 13 hours ago
IG
Sr. Python Developer
Insight Global
Toronto, ON
- From $68 CAD / hour
- Contract
Our client is seeking two Senior Python Developers to support a strategic initiative focused on modernizing and migrating existing SAS-based analytics processes into Python. This individual…
Added 13 hours ago
R
Senior Front End Engineer
ReBlink
Toronto, ON
- $90,000 to $163,000 USD / year
- Full-time
- On-site
Added 13 hours ago
SS
Senior Software Engineer
Solid State AI
Toronto, ON
- Full-time
- Hybrid
We’re looking for a Senior Python developer to join our team (company headquarters are in Toronto, Canada). You should think about joining us if you have passion for architecting software…
Added 13 hours ago
SS
Senior ML Engineer
Solid State AI
Toronto, ON
- $120,000 to $160,000 CAD / year
- Full-time
- Hybrid
Added 13 hours ago
RC
Senior Systems Testing/QA Specialist
Randstad Canada
Toronto, ON
- Contract
We are seeking an experienced Senior Systems Testing/QA Specialist to lead and execute comprehensive quality assurance across enterprise software solutions and Commercial Off-the-Shelf…
Added 13 hours ago
CQ
AI Engineer - Junior (BC)
Canada Quant Labs
Victoria, BC
- $85,000 to $115,000 CAD / year
- Full-time
…pipelines, inference benchmarks, and model cards, mentored by senior engineers. Full-time, permanent, hybrid from our Victoria, BC office. CAD $85,000–$115,000 per year plus equity,…
Added 13 hours ago
I
AI Integration Developer
IntuitionLabs
Remote, Canada
- $80,000 to $100,000 CAD / year
- Full-time
- Remote
Mentoring from a senior engineer and direct work with the founder
Added 13 hours ago
I
AI Specialist, Discovery and Preclinical Science
IntuitionLabs
Remote, Canada
- $95,000 to $115,000 CAD / year
- Full-time
- Remote
Work alongside a network of senior specialists in regulatory, CMC, clinical, medical and data science
Added 13 hours ago
AU
Software Dev Engineer, Pricing Shared Platform
Amazon.com.ca, ULC
Vancouver, BC
- Full-time
- Contribute ideas to technical designs, ask good questions, and grow your scope and autonomy over time with support from senior engineers and mentors.
Added 13 hours ago
AU
Software Dev Engineer, Pricing Shared Platform
Amazon.com.ca, ULC
Vancouver, BC
- Full-time
- Contribute ideas to technical designs, ask good questions, and grow your scope and autonomy over time with support from senior engineers and mentors.
Added 13 hours ago
QI
Senior Developer/CCaaS Consultant
Querentia Inc.
Toronto, ON
- Contract
We are hiring for a Senior Developer/CCaaS Consultant for a contract role. I've included a brief JD below. Please let me know if you're interested. Excellent hourly rate and Fully remote.
Added 13 hours ago
QI
GCP Data Engineering Lead
Querentia Inc.
Toronto, ON
- Contract
We are seeking a highly experienced GCP Data Engineering Lead to provide senior technical leadership and delivery management for enterprise-scale cloud data engineering initiatives. The…
Added 13 hours ago
QI
Automation & Manual QA Engineer
Querentia Inc.
Remote, Canada
- Contract
- Remote
The ideal candidate must have extensive hands-on expertise in C# test automation , API testing , and Postman
Added 13 hours ago
QI
Senior ML Engineer – Lead
Querentia Inc.
Brampton, ON
- Contract
We are seeking a Senior ML Engineer - Lead to design, build, and optimize scalable data and machine learning solutions on Azure. The ideal candidate will have strong expertise in Azure Data…
Added 13 hours ago
QI
Senior Data Engineer – Marketing Operations
Querentia Inc.
Remote, Canada
- Contract
- Remote
We are seeking a Senior Data Engineer with 6-8 years of IT experience to build and optimize data transformation pipelines for Marketing Operations. The ideal candidate will have strong…
Added 13 hours ago
QI
Build Manager
Querentia Inc.
Ottawa, ON
- Contract
We are seeking Intermediate (5-9 years) and Senior (10+ years) Build Managers to support software build, release, and configuration management for Government of Canada projects. The ideal…

Later

Senior AI Automation Engineer

Vancouver, BC, Canada

Apply on job-boards.greenhouse.io About employer

Applications open in a new tab.

Job details

Posting language: English
Posted: Oct 26, 2026

Original job description

Later is the world’s most intelligent influencer marketing company, built to give brands the confidence to create unforgettable campaigns. By combining real creator relationships, trusted intelligence, and expert guidance, Later removes fear and guesswork from one of marketing’s most visible investments.

Built on a native, AI-powered platform and more than a decade of proprietary data - including billions of social interactions, impressions, and $2.4B+ in verified influencer-driven purchases - Later helps teams understand what will work before they launch.

By combining trusted insight with expert guidance, Later removes guesswork from influencer marketing, enabling brands to choose the right creators, execute fully managed campaigns, and drive meaningful growth across awareness, engagement, and revenue. Trusted by leading enterprise brands including Nike, Wayfair, Unilever, and Southwest Airlines, Later bridges creativity and performance so campaigns don’t just look good - they deliver results. Learn more at later.com.

About this position:

We're hiring an AI Automation Engineer to embed across teams at Later, Operations, Finance, Marketing, Customer Success, and beyond, and replace manual, repetitive work with durable AI-powered tooling.

This role sits at the intersection of engineer, internal consultant, and coach: you'll build the automations that move the needle today and level up non-technical colleagues to build the next wave themselves. This is a high-leverage role for someone who gets energy from solving real business problems, ships pragmatic v1s in days rather than months, and knows when a scrappy prototype needs to be hardened into something the whole org can rely on. You'll work across Later's lines of business (Later Influence, Later Social, and Later Creator), with regular exposure to senior leadership and broad visibility into how the company actually runs.

What you'll be doing:

Partnership & Discovery

Embed with non-technical stakeholders across Operations, Finance, Marketing, Customer Success, and other functions to understand their workflows in depth.
Surface the highest-impact automation opportunities and translate fuzzy, ambiguous problems into clear technical solutions.
Leave every stakeholder conversation with a sharper problem definition than you walked in with.

Building & Shipping

Build automations and internal tools using AI-native platforms, scripting, APIs, and whatever else gets the job done, pragmatism over purity.
Ship working v1s quickly so stakeholders can validate value before investment scales.
Wire together LLMs, agents, RAG patterns, and prompt design with existing systems to deliver real workflow outcomes.

Scaling & Reliability

Take working prototypes and harden them with the reliability, observability, error handling, and reusability needed for production use.
Define when a one-off solution is good enough as-is versus when it needs to be promoted into something the whole org can rely on.
Build the monitoring and documentation that lets automations run unattended and recover gracefully when they don't.

Enablement & Coaching

Coach and advise non-technical colleagues who are building their own automations: review their work, unblock them, and level up their skills over time.
Run lightweight enablement (working sessions, office hours, shared documentation) that grows the citizen-developer community at Later.
Communicate technical tradeoffs clearly to non-technical audiences and teach others to fish.

Platform Thinking

Identify patterns across teams and build shared components, templates, and frameworks that compound the org's automation leverage over time.
Create reusable building blocks (prompt libraries, integration patterns, automation templates) that turn individual wins into org-wide capability.
Partner with Engineering and IT on the platform decisions that make this leverage durable.

What success looks like:

Within your first 6-12 months, success in this role will look like:
A portfolio of automations in production with documented business impact (hours saved, error rates reduced, cycle times shortened) across at least three different teams.
A measurable lift in the number of non-technical colleagues confidently building their own automations, supported by templates, documentation, and coaching you've put in place.
A reusable library of components, patterns, and templates that other builders, technical and non-technical, can pick up and apply.
Recognition as the go-to partner across Operations, Finance, Marketing, and Customer Success for 'can this be automated?' and 'is this worth automating?' questions.
A clear point of view on Later's automation roadmap: what the next high-leverage opportunities are, and where the platform investments need to land.

What you bring:

We are committed to building an inclusive, supportive place for you to do the best and most rewarding work of your career. If you identify with any of the following, we encourage you to apply!

A track record of building and shipping automations, internal tools, or AI-powered workflows that delivered measurable business impact.
Strong fluency with modern AI tooling (LLMs, agents, RAG, prompt design) and comfort wiring together APIs, scripts, and no-code/low-code platforms.
A business-first mindset: you start with the problem and the user, not the technology, and can sharpen a non-technical partner's problem definition through the right questions.
Resourcefulness and a bias to action: you ship a working v1 in days, not months, and iterate from there.
An instinct for scale, knowing when something is good enough as a one-off versus when it needs to be built to serve the whole org.
Strong written and verbal communication skills, with the ability to explain technical tradeoffs to non-technical audiences and coach others to build their own solutions.
Experience in an internal-tools, RevOps, BizOps, or 'applied AI' function is a plus.
A background in supporting or training non-technical builders (citizen developers, ops teams running their own tooling) is a bonus.
Comfort with data: pulling it, cleaning it, and reasoning about it.

How we work:

We will do whatever it takes to win: We win when our customers and creators win. We bring full commitment to outcomes that matter, not just effort.
We have no limit to our aspiration: We think big, push beyond what seems possible, and refuse to let conventional thinking set the ceiling.
We are relentless: We keep going through ambiguity, setbacks and competing priorities, and we find a way forward.
We deeply understand our business: If we don’t have the knowledge, we figure it out. We take ownership of understanding how Later works and what drives results.
We take our work seriously, but not ourselves: We bring rigor and accountability without ego, and we make space for each other to do our best work.

Our approach to compensation:

We take a market-based & data-driven approach to compensation. We leverage data from trusted third-party compensation sources to help us understand the market value of a role based on function, level, geographic location, and scope. We evaluate compensation bi-annually, including performance and market-related factors.

Our salaries are benchmarked against market Total Cash Compensation for the geographic location of our job posting. Compensation for some roles is structured as On Target Earnings (OTE = base + commission/variable) while for others it is structured as Salary only. The salary range listed for this role reflects the zones that applies to the location of this posting.

To comply with local legislation and ensure transparency, we share salary ranges on all job postings. Skills, experience and other factors help determine the final salary we offer which may vary from the original range posted.

Additionally, all permanent team members are eligible to participate in various benefits plans as part of their overall compensation package.

For candidates located in the US: $125,000-190,000 USD For candidates located in the Canada: $110,000-160,000 CAD

Where we work:

We have offices in Boston, MA; Vancouver, BC; and Vancouver, WA. For select positions, we are open to hiring fully remote candidates. We post our positions in the location(s) where we are open to having the successful candidate be located.

Diversity, inclusion, and accessibility:

At Later, we are committed to fostering a culture rooted in an inclusion-first mindset at every level of the company, embracing the importance of hiring and building teams for culture add rather than culture fit. We openly build and maintain unbiased hiring, pay, and promotion practices to create a foundation for an equitable workplace, paving the way for systemic change.

We are committed to creating a diverse environment and are proud to be an equal opportunity employer. All applications will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, national origin, disability, or age. Please let us know if you require any accommodations or support during the recruitment process.

Apply on job-boards.greenhouse.io About employer

More about this job

Responsibilities

The AI Automation Engineer at Later will find workflows worth automating, build and ship AI-powered tools quickly, and harden the useful ones for reliable company-wide use. They will also coach non-technical colleagues and build shared templates and components.

Requirements

Candidates need a track record of shipping automations or AI-powered workflows with measurable business impact, and strong fluency with LLMs, agents, RAG and APIs. They also need clear communication skills to explain tradeoffs to non-technical audiences.

Skills

LLMs
AI agents
RAG
prompt design
API integration
scripting
no-code platforms
low-code platforms
workflow automation
internal tools development
data cleaning
data analysis
monitoring and observability
error handling
technical documentation
stakeholder discovery
coaching and enablement
process analysis
problem definition
prototyping
production hardening
reusable component design

Keywords

AI automation
automation engineer
LLM
agents
RAG
prompt design
APIs
scripting
no-code
low-code
internal tools
RevOps
BizOps
applied AI
workflow automation
citizen developer
influencer marketing
data
Python
observability

Seniority

Senior

Tools

LLMs
AI agents
RAG
APIs
no-code platforms
low-code platforms

Languages

English

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Work requirements

Jobs in Canada