Find work in Canada.

318,776 jobs across our Canadian network. How we count

Jobs in Canada

25+ jobs

Email me new jobs Save this search

Added 10 mins ago
Senior Software Engineer
SALT XC
Toronto, ON
Join us as a Senior Software Engineer building the next generation of AI products. This is a hands-on senior software development role: you'll spend roughly 80% of your time designing,…
Added 38 mins ago
Full Stack Engineer
Gala Solutions
Montreal, QC
Contract
Job Title: Full Stack Developer (Java & React)
Added 1 hour ago
Full Stack Software Engineer
Manulife
Halifax, NS · Waterloo, ON
Full-time
Minimum of 5+ years of experience as a Full Stack Software Engineer
Added 2 hours ago
Staff Software Developer (Pre-ID Relo)
Intuit
Toronto, ON
Full-time
We are hiring a Staff Software Engineer to set technical direction across multiple engineering teams in the HCM charter. This is a charter-wide role. You will not be measured by the…
Added 4 hours ago
Lenovo Accelerated Sales Rotational Program Associate [LASR] Canada Full-time
Lenovo
Markham, ON
$44,467 to $68,184 CAD / year
Full-time
…built on its success as the world’s largest PC company with a full-stack portfolio of AI-enabled, AI-ready, and AI-optimized devices (PCs, workstations, smartphones, tablets),…
Added 5 hours ago
Staff Software Developer
Intuit
Toronto, ON
Full-time
We are hiring a Staff Software Engineer to set technical direction across multiple engineering teams in the HCM charter. This is a charter-wide role. You will not be measured by the…
Added 5 hours ago
Staff Software Engineer (Pre-ID Relo)
Intuit
Toronto, ON
Full-time
We are hiring a Staff Software Engineer to set technical direction across multiple engineering teams in the HCM charter. This is a charter-wide role. You will not be measured by the…
Added 5 hours ago
Full Stack Software Developer
Engineered Arts
Montreal, QC
Full-time
We are looking for skilled Full Stack Software Developers to join our software development team. You will work closely with cross-functional teams to develop, maintain, and enhance both our…
Added 9 hours ago
Intern, Developer (Winter 2027)
Bombardier
Mississauga, ON
$17.95 to $31 CAD / hour
Volunteer
Design and deploy full-stack web applications and internal tools using React, Next.js, TypeScript, HTML, and CSS to support smart factory initiatives and manufacturing operations.
Added 10 hours ago
AI Ads Product Builder/FDE
Gigi
Toronto, ON
Full-time
…workflows, and integrations with Gigi. As a forward deployed engineer, you'll work directly with agency leaders, ads managers, and the teams using what you…
Added 10 hours ago
AI Agent Engineer
Gigi
Toronto, ON
Full-time
Strong software engineering experience, with depth in backend or full stack development. System design, APIs, data models, testing, debugging, and operating production software are central…
Added 11 hours ago
Full Stack Software Engineer II (Contract Role)
Sony Computer Entertainment France SA
Waterloo, ON
Contract
Playstation is looking for a Software Engineer to build our next-generation technologies and applications in the growing Madison, WI campus. We apply modern web technologies and…
Added 17 hours ago
Senior AI Engineer
Workday
Vancouver, BC · Canada, BC, Vancouver
Full-time
…teams that bring together product leaders, AI engineers, and full-stack builders to create intelligent agents used by millions of people every day. This is production-grade AI - deeply…
Added 18 hours ago
Full Stack Engineer
Swim Recruiting
Vancouver, BC
$65 to $85 CAD / hour
Contract
6-month contract Full Stack Engineer (front end focused) role with a global fintech organization with an engineering team located in Metrotown.
Added 18 hours ago
Intermediate Full Stack Engineer
FabStation
Remote, Canada
$80,000 to $90,000 CAD / year
Full-time · Remote
We are looking for an Intermediate Full Stack Developer to join our Engineering team in developing new features and maintaining existing systems. You will design, implement, test, and…
Added 18 hours ago
Software Architect - AI-Enabled Engineering
Wärtsilä
Vancouver, BC
We are looking for an experienced Senior Full-Stack Software Engineer to support the continued development of our Digital Port Solutions portfolio while helping advance our software…
Added 18 hours ago
Senior Software Development Engineer, Amazon Private Brands
Amazon
Vancouver, BC
We are looking for an experienced Software Development Engineer III who's comfortable at all levels of the stack to design, build, and operate AI-powered systems at Amazon scale. Whether…
Added 21 hours ago
Sr Full Stack AI Engineer - Calgary ,Canada (Hybrid)
Straive
Calgary, AB
Full-time
Title - Senior Full Stack AI Engineer / Technical Engagement Manager
Added 21 hours ago
Software Engineer (Product - Backend)
Vasco
Remote, Canada
Full-time · Remote
As a Software Engineer at Vasco, you'll build the brain of our agents: the core systems that give them the context, metrics, and playbooks they need to do their job. You'll join a small…
Added 22 hours ago
Senior Full Stack Developer
Capgemini
Mississauga, ON
7 years experience as a successful full stack software engineer, delivering software using agile development practices.
Added 22 hours ago
Senior Security Analyst (Bilingual French/English)
TEKsystems
Montreal, QC
$70 to $80 CAD / hour
Contract
-5+ years of experience in a Security Analyst, Security Engineer, or similar cybersecurity role.
Added 23 hours ago
Hardware Validation Engineer, Sr Staff
Synopsys
Ottawa, ON
Your mentorship will build the next generation of validation engineers who understand the full stack from transistor to trace
Added 23 hours ago
Sr. Staff AI Full Stack Engineer
Synopsys
Canada Off-Site, Canada Off-Site Office
Advanced proficiency in Python programming for both backend and full stack development.
Added 23 hours ago
St Staff R&D Engineer
Synopsys
Waterloo, ON
…engineers rely on daily, not prototypes that look good in demos. Full stack development is second nature to you: you design Python backends, build Angular frontends, and understand exactly…
Added 23 hours ago
Machine Learning Engineer - EA SPORTS™ FC
Electronic Arts
Vancouver, BC
Reporting to the Senior Data Science Manager, we are seeking a full-stack Machine Learning Engineer to operationalize, deploy, and scale high-impact machine learning solutions and…

Gigi

AI Agent Engineer

Toronto, ON, Canada

Pay: Base salary: $110k to $200k depending on experience level.
Job type: Full-time
Posting language: English
Posted: Oct 2, 2026

Apply About employer

Applications open in a new tab.

Original job description

Gigi is the agentic operating system of enterprise media buying. Our first product is the AI media manager for Amazon DSP. Since launching it in summer 2025, we've grown to manage hundreds of millions in advertising spend on behalf of the largest agencies in the world.

We're backed by top venture investors Golden Ventures and Aperiam Ventures. Our founding team has spent 15+ years building in Amazon Ads and ecommerce, including a prior $100M+ exit.

We're hiring an AI Agent Engineer to join our engineering team in Toronto and own end-to-end development of the agents and workflows behind Gigi, our AI media manager.

This is fundamentally a software engineering role. Much of the work will feel familiar: designing APIs, modelling data, integrating services, writing tests, debugging production issues, and making architectural decisions. Your focus will be how LLMs reason, use tools, retain context, and take actions on behalf of customers - and the software that makes those actions reliable.

You do not need to be an AI researcher or have years of professional LLM experience. Strong software engineers who have started building with LLMs and agents, and want to take that work further, should apply. You'll use tools such as Codex, Claude Code, and Cursor as a core part of how you work, while building across agent logic, backend services, data, and the customer-facing product.

As an early employee, you will have a meaningful role in shaping our product, engineering culture, and company.

What you'll do

Ship agents end to end. You'll own capabilities from the data and tools an agent uses through its reasoning and execution to the interface a media buyer actually touches. Examples include turning a brief into a campaign, investigating performance, and carrying out approved changes. Our stack includes Python, FastAPI, LangGraph and LangChain; TypeScript, Vue and Nuxt; Java and Spring Boot; PostgreSQL, pgvector, Redis and NATS; and AWS.
Build with AI as a core part of your development workflow. Use Codex, Claude Code, Cursor, and other coding agents to help plan, implement, test, debug, and review software. You are still responsible for the architecture, quality, and correctness of what gets shipped.
Build the agent's judgment, not just its plumbing. Decide what Gigi should do autonomously and what it must escalate to a human, then score actions on risk and confidence so recommendations read differently when the data is thin.
Draw the line between probabilistic and deterministic work. LLMs for reasoning, structured software for execution. Knowing where that boundary sits on any given feature is a daily call, not a settled architecture.
Build reliable agentic systems. Design tools, retrieval, memory, orchestration, guardrails, and human approval flows that make Gigi dependable enough to take action inside real advertising accounts. Handle incomplete context, tool failures, and workflows that need to pause and resume. Prior experience with all of these is not expected.
Evaluate and improve agent behavior. Turn real customer workflows and production failures into evaluations and regression tests. Inspect traces, experiment with prompts and context, and measure whether changes improve the agent's ability to complete the task correctly.
Work directly with customers. You'll sit in on calls, read transcripts, and take feedback straight from the media buyers using the product. You'll turn ambiguous customer problems into shipped product without waiting for a perfect spec.

What success looks like

First 30 days. Your code is in production. You understand what a media buyer's day actually involves and why the product is shaped the way it is.
Six months. You own an agent capability outright, including its evaluations and production behavior. When it fails or a customer asks it to do something new, you're the person who decides what happens.
Twelve months. You've shipped something we could not have built without you, expanded what customers can confidently delegate to Gigi, and thrown out at least one thing you built because the abstraction was wrong.

What you'll bring

A track record of building and shipping production software used by real customers. We care more about what you have built and owned than an exact number of years.
Strong software engineering experience, with depth in backend or full stack development. System design, APIs, data models, testing, debugging, and operating production software are central to this role.
Hands-on experience building with LLMs or agents, whether at work, through open source, or in a substantial personal project. You can explain how it works, where it fails, and how you would improve it.
Comfort across the stack. Real depth somewhere, no allergy to the parts you're weaker in.
Experience using, or a strong desire to become highly effective with, AI coding tools such as Codex, Claude Code, Cursor, or similar tools. You do not need to be an expert on day one, but you should be excited to use them every day - and strong enough technically to review their work, reject weak abstractions, catch missing edge cases, and remain accountable for what ships.
Curiosity about how LLMs change software products and the way software gets built. You should be excited to develop good judgment around where AI belongs - and where conventional software is the better answer.
Judgment over specification. You can make a reasoned call, ship it, and iterate fast when it's wrong.
Speed and ownership. LLMs changed what “fast” means for a small team. You should be comfortable using AI coding agents to move quickly while maintaining a high bar for architecture, correctness, and maintainability.

What you don't need

You do not need an AI research background or experience training foundation models. We build products around existing models, combining them with tools, data, business logic, interfaces, and production infrastructure.
You do not need prior experience with every agent framework or concept we use. We expect strong engineers to learn LangGraph, agent orchestration, evaluations, retrieval, and tool use on the job.
You do not need prior advertising or Amazon DSP experience. Our team will help you learn the domain.

Bonus points if

You've built with LLMs in production: evals, guardrails, tool use, retrieval, agent orchestration, cost and latency work.
You've built evaluation datasets or used production traces and customer feedback to improve an agent's behavior.
You've worked in advertising or ecommerce.
You've built real-time data pipelines at meaningful volume, or been early enough at a startup to know what the first 20 people actually do.
You've operated production systems where correctness, permissions, auditability, or customer trust mattered.

The hard parts

We'd rather you know this before you apply.

We work hard. We are trying to build a generational company, and early employees should expect intensity, ambiguity, and high standards.
Cash compensation is competitive for our stage, but we will not win every late-stage salary comparison. The upside is meaningful ownership and equity in a company growing quickly.
We throw out working code when the underlying abstraction is wrong. Some of what you build will not survive, and you'll be the one who calls it.
Nobody is siloed. You'll write frontend, debug backend, think through product, join customer calls, and solve whatever problem is blocking the customer.

Compensation and equity

Base salary: $110k to $200k depending on experience level.
Meaningful equity. We want to be as generous with equity as possible, and top performers can expect equity top-ups early and often.

Life at Gigi

In-office culture. We work together downtown Toronto, but makers (i.e. engineers) can choose to work where they are most productive on Wednesdays.
Catered lunch every day from Toronto's best spots. Current rotation: Impact Kitchen, iQ Food Co., ChopHop, and Cumbrae's.
Real snacks: Greek yogurt, Mateína yerba mate, Barebells protein bars, Midday Squares. Tell us what you want and we'll add it.
Top-of-the-line Apple equipment.
Comprehensive health and dental coverage.

Apply About employer

More about this job

Responsibilities

You will own the end-to-end development of AI agents and workflows, including designing APIs, modeling data, and integrating services. You will also build agent judgment, evaluate performance, and work directly with customers to turn feedback into product features.

Requirements

You need strong software engineering experience with depth in backend or full-stack development and a track record of shipping production software. Experience building with LLMs or agents is required, along with the ability to maintain high standards for architecture and code quality.

Skills

Python
FastAPI
LangGraph
LangChain
TypeScript
Vue
Nuxt
Java
Spring Boot
PostgreSQL
Pgvector
Redis
NATS
AWS
System design
API development

Benefits

Health insurance
Dental coverage
Equity
Catered lunch
Snacks
Apple equipment

Visa sponsorship

Not detected in the job text

Keywords

AI Agent Engineer
Amazon DSP
LLMs
Python
FastAPI
LangGraph
LangChain
TypeScript
Vue
Nuxt
Java
Spring Boot
PostgreSQL
Pgvector
Redis
NATS
AWS
Codex
Claude Code
Cursor
System design
API development
Data modeling
Production software
Agent orchestration
Retrieval
Guardrails
Advertising technology
Ecommerce
Software engineering

Report this job