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Added 4 mins ago
E
Senior QE + AI Engineer
enableIT
Toronto, ON
- $75 to $80 CAD / hour
- Contract
We are seeking a Senior QE + AI Engineer with around 8 years of experience in Quality Engineering, Test Automation, or Software Engineering. The role focuses on building AI-powered…
Added 4 mins ago
PI
MLOps Engineer
Planitar Inc.
Waterloo, ON
- $120,000 to $150,000 CAD / year
- Full-time
Planitar's Advanced Research Group builds the AI that turns 360° scans into floor plans. We are hiring our first MLOps Engineer to build the infrastructure that trains, evaluates, deploys…
Added 5 mins ago
P
MLOps Engineer
Planitar
Waterloo, ON
- Full-time
Planitar's Advanced Research Group builds the AI that turns 360° scans into floor plans. We are hiring our first MLOps Engineer to build the infrastructure that trains, evaluates, deploys…
Added 2 hours ago
1
Applied AI Engineer - Evaluation & Reliability
15Rock
Toronto, ON · Greater Toronto Area, Canada
- Full-time
Applied AI Engineer - Evaluation & ReliabilityThe problem you'd own
Added 4 hours ago
SP
Software Engineering LMTS
Salesforce Partner Canada
Vancouver, BC
- Full-time
The software engineer role at Salesforce encompasses architecture, design, implementation, and testing to ensure we build products right and release them with high quality. Equally…
Added 6 hours ago
ST
AI Engineer Intern
Soft Techniques
Engineer, BC
- Internship
Description Join Soft Techniques as an AI Engineer Intern and work on cutting-edge AI systems used by real businesses. You will collaborate with our engineering team to build and improve AI…
Added 12 hours ago
WU
Technical Customer Support 2
West Unified Communications Services (formerly known as InterCall Asia Pacific)
Montreal, QC
- Full-time
Added 15 hours ago
IL
Technical Customer Support 2
Intrado Life & Safety, Inc.
Montreal, QC · Saint-Laurent, Quebec
- Full-time
Added 16 hours ago
S
Software Engineer
Spellbook
Canada
- Full-time
Added 17 hours ago
ZS
Quality Engineer / SDET – AI Chatbot Validation
Zodiac Solutions, Inc
Toronto, ON
- Full-time
Added 17 hours ago
SF
Application Security Engineer II
Spring Financial Inc.
Vancouver, BC
- Full-time
As an Application Security Engineer II, you are an experienced practitioner who works independently to secure Spring’s applications, services, and APIs. You take ownership of application…
Added 17 hours ago
KG
QE / SDET – AI Chatbot & GenAI Validation
K&K Global Talent Solutions INC.
ON · Ontario, Canada
- Full-time
We are seeking an experienced Quality Engineer (QE) / SDET specializing in AI Chatbot Validation to lead the quality assurance, accuracy testing, and response analysis of our conversational…
Added 17 hours ago
YD
Senior Machine Learning Engineer (Consulting)
Yeji Data Lab
Montreal, QC · Greater Montreal Metropolitan Area
- Full-time
We are looking for a Senior Machine Learning Engineer to design, build, and deploy scalable ML solutions for our clients. You will work across diverse projects, collaborating with…
Added 17 hours ago
II
Software Engineer
Intouch Insight
Ottawa, ON
- Full-time
Clear written communication, whether in a ticket, a design note, a code review, or a prompt
Added 17 hours ago
SF
Application Security Engineer II
Spring Financial
Vancouver, BC
- Full-time
As an Application Security Engineer II, you are an experienced practitioner who works independently to secure Spring’s applications, services, and APIs. You take ownership of application…
Added 17 hours ago
TH
AI Engineer | Full time | AI Innovations
Trillium Health Partners
ON · ON, Canada
- Full-time
Reporting to the Director, AI & Digital Planning, the AI Engineer will be responsible for using the latest AI tools to design, prototype, build, evaluate, and scale AI solutions including…
Added 18 hours ago
ZS
Quality Engineer / SDET – AI Chatbot Validation
Zodiac Solutions, Inc
Toronto, ON
- Full-time
Job TitleQuality Engineer (QE) / SDET – AI Chatbot ValidationKey Roles & Responsibilities• Validate chatbot responses for accuracy, relevance, completeness, and consistency.• Create and…
Added 18 hours ago
S
Junior AI-Accelerated Developer
Spare
Remote, Canada
- $70,000 to $101,000 CAD / year
- Full-time
- Remote
Apply checklists and QA steps before senior engineer review
Added 20 hours ago
V
Forward Deployed Engineer - Full Stack AI Solutions
VistaVu
Calgary, AB
- Full-time
As a Forward Deployed Engineer - AI Solutions at VistaVu Solutions, you will work alongside customers to understand their business problems, learn how their teams operate, and build AI…
Added 20 hours ago
M
Technical Architect- AI
Mphasis
Toronto, ON
- Full-time
Generative AI & LLMs: Gemini, Vertex AI, OpenAI, Llama, Foundation Models, Prompt Engineering, Conversational AI, Agentic AI / Multi-Agent Architectures, AI Model Evaluation and Monitoring
Added 20 hours ago
Q
ML Architect
Quantiphi
Canada
- Full-time
Prompt Engineering: Engineer prompts and optimize few-shot techniques to enhance LLM's performance on specific tasks, e.g. personalized recommendations.
Added 20 hours ago
VS
Forward Deployed Engineer - Full Stack AI Solutions
VistaVu Solutions
Calgary, AB
- Full-time
As a Forward Deployed Engineer - AI Solutions at VistaVu Solutions, you will work alongside customers to understand their business problems, learn how their teams operate, and build AI…
Added 21 hours ago
RS
Principal Software Engineer- RMJ (AI Accelerated)
Redwood Software
ON
- $150,000 to $170,000 CAD / year
As a Principal Software Engineer, you will be a senior technical leader and strategic influencer shaping Redwood’s RunMyJobs platform. You will drive high-impact technical decisions, own…
Added 22 hours ago
D
Java Software Engineer
Dexian
Mississauga, ON
- Contract
Familiarity with LLMs, AI APIs, prompt engineering, RAG, or AI-powered application development is a plus
Added 1 day ago
SH
Applied AI Software Engineer
SE Health
Markham, ON
- Full-time
The Applied AI Software Engineer is a hands-on technical role responsible for designing, building, testing, deploying, and supporting secure, reliable artificial intelligence solutions…

Stripe

AI Engineer

Toronto, ON, Canada

The annual US base salary range for this role is $126,600 - $235,300. · Full-time

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Job details

Pay: The annual US base salary range for this role is $126,600 - $235,300.
Job type: Full-time
Apply by: Nov 6, 2026
Experience: 4+ years of experience as an engineer shipping production systems
Posting language: English
Posted: Oct 7, 2026

Original job description

Who We Are

About Stripe

Stripe is a financial infrastructure platform for businesses. Millions of companies - from the world's largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career.

About The Team

The Solutions Architecture (SA) organization helps Stripe's most strategic customers design and validate technical solutions that drive their business forward. Within SA, our team builds the tools, workflows, and custom technical assets that make the broader SA org more effective - turning individual ingenuity into org-wide capability.

We are looking for AI Engineers who are energized by working close to the business and the users we serve. You'll operate as an embedded, high-context engineer focused on the highest-leverage opportunities across the SA org - building production-quality tooling, supporting our most strategic engagements, and shipping automation that meaningfully improves how Solutions Architects work every day.

What You'll Do

As an AI Engineer, you'll be embedded directly with the Solutions Architecture team - building alongside them, deeply understanding their workflows, and shipping tools and automation that permanently change how they operate. Your measure of success is SA productivity: the engagements you've accelerated, the workflows you've transformed, and the tools you've built that the org adopts as default.

You'll ship code daily. You'll discover where SAs lose time and build high-impact solutions. You'll take what works for one person and scale it to work for the org. And when our most strategic customer engagements need custom technical assets, you'll build those too.

This is a role for someone who wants to work at the intersection of engineering and business impact - close to customers, close to revenue, and building for people you can see using your work every day.

Responsibilities

Collaborate with Solutions Architects, SA leadership, Product, and Engineering to scope technical work and translate ambiguous business needs into well-defined deliverables
Evaluate and integrate AI capabilities (LLMs, agents, workflow automation) where they provide genuine leverage - not for novelty, but for measurable productivity improvement
Architect and build internal tools, agents, and automated workflows that accelerate SA and manager productivity across technical discovery, solution design, demoing, user engagements, territory/pipeline management, and product interlock
Take high-potential tools and workflows built by SAs and managers and harden them into scalable, maintainable, production-grade solutions
Identify patterns across SA workflows and proactively build solutions that address recurring friction
Build custom demo environments, PoC applications, and technical assets for Stripe's most strategic customer engagements
Document tools, architectures, and usage patterns so others can adopt and extend what you've built
Debug, extend, and maintain backend systems across a variety of codebases and infrastructure

Minimum Requirements

4+ years of experience as an engineer shipping production systems
Strong backend engineering fundamentals: you can debug a failing system, trace issues across services, and reason about data flows
Experience building and deploying AI agents, LLM-powered tools, or workflow automation beyond basic prompt engineering
Experience scoping and delivering work with minimal oversight in a fast-moving, cross-functional environment
Proficiency in at least two of: Ruby, Node.js, Python, or Next.js
Familiarity with cloud infrastructure (AWS, GCP) including deployment, monitoring, and basic DevOps
Experience building internal tools, developer platforms, or workflow automation
Demonstrated ability to work across multiple codebases and technology stacks simultaneously
Hands-on experience using AI/LLM tools in your engineering workflow - you're fluent with AI-assisted development but not dependent on it; you can reason through problems and debug without AI as a crutch
Strong written and verbal communication skills; you can translate technical decisions for non-technical stakeholders and navigate cross-functional collaboration naturally
Comfort with ambiguity - you can take a loosely-defined business problem, scope the engineering work, and ship iteratively without waiting for a perfect spec

Preferred Qualifications

Experience designing systems that non-engineers can build on top of or extend themselves (e.g., platforms, low-code frameworks, template systems)
Experience in a Solutions Engineering, Sales Engineering, or GTM Engineering role - or a product engineering role where you worked closely with customers or go-to-market teams
Familiarity with Stripe's products, APIs, or the payments/fintech domain
Experience integrating with third-party platforms (Salesforce, Gong, etc.)
Track record of building tools or systems that were adopted beyond your immediate team
Background in consulting, professional services, or other roles that blend technical depth with business context

Who You Are

Beyond the technical requirements, we're looking for a specific kind of engineer:

You want to be close to the business. You're energized by seeing your work directly impact how a sales team wins a deal or how a customer succeeds.
You're a pragmatic builder. You ship working solutions quickly, iterate based on real usage, and know when "good enough now" beats "perfect later." You'd rather show a working prototype today than present a roadmap deck next quarter.
You're a software engineer by practice. You can architect systems, debug production issues, write clean code, and reason about tradeoffs. AI is a tool in your belt, not a substitute for engineering judgment.
You're a pattern recognizer. When you build something that works for one person, you immediately see how it generalizes. You think in reusable systems, not one-off scripts.
You thrive without a traditional product team structure. No PRDs landing in your lap, no dedicated PM, no sprint ceremonies. You identify the highest-leverage problem, scope the work, and ship it. You're comfortable trading on-call rotations and rigid processes for autonomy and impact.
You're a strong communicator. You can partner with SAs who are domain experts, understand their workflows deeply enough to build great tools, and explain your technical choices to leadership.

In-office expectations

Office-assigned Stripes in most of our locations are currently expected to spend at least 50% of the time in a given month in their local office or with users. This expectation may vary depending on role, team and location. For example, Stripes in Stripe Delivery Center roles in Mexico City, Mexico, Bengaluru, India, and Dublin, Ireland work 100% from the office. Also, some teams have greater in-office attendance requirements, to appropriately support our users and workflows, which the hiring manager will discuss. This approach helps strike a balance between bringing people together for in-person collaboration and learning from each other, while supporting flexibility when possible.

Pay and benefits

The annual US base salary range for this role is $126,600 - $235,300. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. This salary range may be inclusive of several career levels at Stripe and will be narrowed during the interview process based on a number of factors, including the candidate’s experience, qualifications, and location. Applicants interested in this role and who are not located in the US may request the annual salary range for their location during the interview process.

Additional benefits for this role may include: equity, company bonus or sales commissions/bonuses; 401(k) plan; medical, dental, and vision benefits; and wellness stipends.

We look forward to hearing from you.

At Stripe, we're looking for people with passion, grit, and integrity. You're encouraged to apply even if your experience doesn't precisely match the job description. Your skills and passion will stand out - and set you apart - especially if your career has taken some extraordinary twists and turns. At Stripe, we welcome diverse perspectives and people who think rigorously and aren't afraid to challenge assumptions. Join us.

Apply now

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More about this job

Responsibilities

Build and maintain AI-powered internal tools, agents, automated workflows, and production-grade backend systems that improve Solutions Architecture productivity. Partner with Solutions Architects and cross-functional teams to identify workflow friction, scale successful tools, and create custom demos and technical assets for strategic customer engagements.

Requirements

Requires at least four years of experience shipping production systems, strong backend engineering skills, and hands-on experience building and deploying AI agents, LLM-powered tools, or workflow automation. Candidates should be proficient in at least two of Ruby, Node.js, Python, or Next.js, familiar with cloud infrastructure, and able to deliver independently across codebases while communicating effectively with technical and non-technical stakeholders.

Skills

Backend Engineering
AI Agents
Large Language Models
Workflow Automation
Ruby
Node.js
Python
Next.js
AWS
Google Cloud Platform
DevOps
Internal Tool Development
System Debugging
Cross-Functional Collaboration
Technical Communication
Customer-Facing Engineering

Benefits

Equity
Company Bonus
401(k) Plan
Medical Benefits
Dental Benefits
Vision Benefits
Wellness Stipends

Visa sponsorship

Not detected in the job text

Keywords

Solutions Architecture
Artificial Intelligence
AI Agents
Large Language Models
Workflow Automation
Backend Engineering
Production Systems
Ruby
Node.js
Python
Next.js
AWS
Google Cloud Platform
DevOps
Internal Tools
Developer Platforms
Technical Discovery
Solution Design
Demo Environments
Proof Of Concept Applications
Customer Engagements
Salesforce
Gong
Stripe APIs
Payments
Fintech
Cross-Functional Collaboration
Production Monitoring
System Debugging
Low-Code Frameworks

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