Jobs in Canada

Group jobs by employerEmail me new jobs Save this search

Added 1 month ago
G
AI Agent Engineer
Gigi
Toronto, ON
- Full-time
…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…
Added 1 month ago
Asset Investment Analyst - Contract (18 Months)
Toronto Hydro
Toronto, ON
This position is based in a hybrid environment allowing for remote work two days per week, based on business needs
Added 1 month ago
RA
Sr. Controls Engineer, Body Controls
Rivian and Volkswagen Group Technologies
Vancouver, BC
- $86,200 to $114,280 CAD / year
- Full-time
Rivian and Volkswagen Group Technologies is a joint venture between two industry leaders with a clear vision for automotive’s next chapter. From operating systems to zonal controllers to…
Added 1 month ago
VN
Director, Business Intelligence
Viral Nation
Canada
- Full-time
At Viral Nation, we specialize in building social-first ecosystems for brands to connect with the modern consumer journey. Our integrated solutions align strategy, talent, media, and…
Added 1 month ago
LT
Software Developer II
LMI Technologies
Burnaby, BC
- $93,000 to $139,000 CAD / year
- Full-time
Experience with C# or Python for tools and testing.
Added 1 month ago
A
AI Model, Framework, and GPU Software Engineer – Agentic AI
AMD
Markham, ON
- $132,000 to $198,000 CAD / year
- Full-time
You are a strong software engineer with solid knowledge of AI software stacks and an interest in working across models, frameworks, and GPU acceleration. You are comfortable learning…
Added 1 month ago
BD
Manager, Data Architecture
Black Diamond Group
Calgary, AB
- Full-time
…and remote and temporary workforce housing solutions, along with a digital marketplace for business-to-business crew travel management. We create value by providing differentiated…
Added 1 month ago
M
Kids STEM Instructor - Mississauga
MakerKids
Mississauga, ON
- Part-time
Are you passionate about technology and love working with kids? MakerKids is hiring enthusiastic, tech-savvy instructors to lead our on and offsite STEM programs.
Added 1 month ago
RB
Staff Data Engineer
Royal Bank of Canada
Toronto, ON
- Full-time
Strong programming skills in Python and SQL, with hands-on experience building and optimizing APIs and data pipelines at scale
Added 1 month ago
OT
Lead Software Developer (Fortify Cloud development)
Open Text Corporation
Ottawa, ON · Mississauga, ON · Richmond Hill, ON · Waterloo, ON
- Other
We are expanding our Fortify Cloud development team and are looking for a self-motivated Software Developer who enjoys solving complex technical challenges at scale. In this role, you will…
Added 1 month ago
MS
AI Enablement Specialist
Monachus Solutions
Vancouver, BC
- $70,000 to $100,000 CAD / year
- Full-time
…our clients are spread across North America. We work closely with founders and technical teams who are moving fast and need security and compliance done right, not just…
Added 1 month ago
L
Python Developer
Luxoft
Toronto, ON
- Contract
…for an experienced, self-directed individual who can operate with a high degree of autonomy, take ownership of outcomes, and deliver working solutions with minimal day-to-day…
Added 1 month ago
R
Staff Data Engineer
RBC
Toronto, ON
- Full-time
Strong programming skills in Python and SQL, with hands-on experience building and optimizing APIs and data pipelines at scale
Added 1 month ago
WC
Senior Analyst, Business Analysis And Insights - GIS
Walmart Canada
Mississauga, ON
- Full-time
Build and automate scalable geospatial workflows using CARTO, BigQuery, GCP, Python, SQL, APIs, and related cloud and spatial technologies, with a focus on reusable and maintainable…
Added 1 month ago
LT
Software Developer II
LMI Technologies
Burnaby, BC
- $93,000 to $139,000 CAD / year
- Full-time
Experience with C# or Python for tools and testing.
Added 1 month ago
I
Principal Data Scientist, Product Data & Analytics
Intuit
Toronto, ON
- Full-time
Intuit has embraced a hybrid working model and this role will be based out of our Toronto office 3 days per week
Added 1 month ago
Business Systems Analyst
McCoy Corp
Edmonton, AB
Familiarity with AI-enabled business tools, Python, Palantir Foundry, or similar technologies is an asset
Added 1 month ago
R
Senior Software Developer in Test (Development Focused)
RBC
Montreal, QC
- Full-time
We are seeking a top-notch, hands on Senior Software Developer who is a passionate, driven team player committed to code quality and testing excellence. The ideal candidate will play a…
Added 1 month ago
Senior Machine Learning Developer I
Bell
Mississauga, ON
For work arrangements that are ‘Hybrid’, successful candidates must be based in Canada and report to a set Bell office for a minimum of 3 days a week
Added 1 month ago
B
Senior Manager, Software Engineering
BCI
Victoria, BC · CA Victoria
- Full-time
BCI is an in-person, collaborative organization with the flexibility to work remotely up to one day per week
Added 1 month ago
RA
Sr. Controls Engnieer, Body Controls
Rivian and Volkswagen Group Technologies
Remote, Canada
- $86,200 to $114,280 CAD / year
- Full-time
- Remote
Rivian and Volkswagen Group Technologies is a joint venture between two industry leaders with a clear vision for automotive’s next chapter. From operating systems to zonal controllers to…
Added 1 month ago
Data Analyst, Principal
Dayforce
Canada
Strong hands-on Python skills and comfort working with APIs, Git, JSON, testing and debugging, notebooks, and modern development workflows used to build analytical and AI-enabled solutions.
Added 1 month ago
J
Junior Cyber Security Analyst
JSI
Ottawa, ON
- Full-time
Willingness to work rotating shifts or provide on-call coverage if required
Added 1 month ago
F
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 1 month ago
A
Développeur(-euse) Full Stack (Python, React)
Akkodis
Montreal, QC
- Contract
Mode de travail : Hybride – Présence au bureau 3 jours par semaine (incluant l'intégration initiale sur site)

Gigi

AI Agent Engineer

Toronto, ON, Canada

Base salary: $110k to $200k depending on experience level. · Full-time

Apply on jobs.ashbyhq.com About employer

Applications open in a new tab.

Job details

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

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 on jobs.ashbyhq.com 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

Work requirements

Jobs in Canada