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Added 19 mins ago
M(
Product Marketing Manager
MaintainX (An Autodesk Company)
Toronto, ON
- Full-time
Shape messaging, positioning and naming with your product counterpart so technical capabilities land as clear value for both the buyer and the frontline technician.
Added 33 mins ago
MS
Law Clerk - Real Estate
MacLennan Serratore LLP
Ottawa, ON
- Full-time
…complex bulk closings, we are trusted advisors throughout the project…
Added 3 hours ago
AH
Buyer
Apollo Health And Beauty Care
Toronto, ON
- $60,000 to $70,000 CAD / year
- Full-time
We are looking for a Buyer to join our team and play a key role in ensuring the timely availability of quality materials to support our operations and customer commitments.
Added 5 hours ago
CA
Senior Buyer
Cooke Aquaculture Inc.
Saint John, NB
- Full-time
As a result of our robust growth, we are adding a Senior Buyer to our team of professionals. This position will report to the Senior Manager, Procurement and work directly with Operations,…
Added 17 hours ago
E
Product Manager
Eurofase
Richmond Hill, ON
- Full-time
Translate engineering language into buyer language - for a specifier, a distributor counter person, a big-box merchant, and an online shopper. Each one needs a different version of the same…
Added 1 day ago
BG
Purchasing Agent
BV GLAZING
Concord, ON
- $50,000 to $60,000 CAD / year
- Full-time
Maintain professional relationships with the manufacturing, project management, Service department and accounting teams
Added 2 days ago
AC
Acheteur | Buyer (Aerospace)
Aston Carter
Montreal, QC
- $40 to $50 CAD / hour
- Contract
…effective account management, supplier development initiatives, and project coordination. Depending on business needs, the Account Specialist may manage a portfolio of suppliers across…
Added 2 days ago
AA
Acheteur stratégique pièces de détails / Strategic Buyer Detail Parts
Airbus Aircraft
Montreal, QC
- Full-time
Acheteur stratégique pièces de détail / Strategic buyer detail parts
Added 2 days ago
IP
Junior Buyer
Iconic Power Systems Inc.
Mississauga, ON
- $60,000 to $65,000 CAD / year
- Full-time
The Junior Buyer position is responsible for the procurement of goods, materials, and services to ensure operational and project requirements are met while achieving the best combination of…
Added 2 days ago
C&
Brokerage Coordinator- Contract
Cushman & Wakefield
Calgary, AB
- Full-time
· Maintain and administer database (Engage), updating owner, buyer, seller, property, and prospect information as required.
Added 2 days ago
E
Senior Manager, Campaign Management
eSentire
Canada
- Full-time
…and SDR colleagues. This is a hands-on campaign operator and project manager role, not a people-management…
Added 2 days ago
A
Acheteur stratégique pièces de détails / Strategic Buyer Detail Parts
Airbus
Montreal, QC
- Full-time
Acheteur stratégique pièces de détail / Strategic buyer detail parts
Added 2 days ago
Senior Manager, Campaign Marketing
eSentire
Canada
…and SDR colleagues. This is a hands-on campaign operator and project manager role, not a people-management…
Added 2 days ago
LC
Supervisor, Maintenance
Linamar Corporation
Guelph, ON
- Full-time
Arrange for quotes from contractors in conjunction with maintenance/materials buyer.
Added 2 days ago
Project Buyer
Alstom
Toronto, ON
Could you be the full-time Buyer in Toronto we’re looking for?
Added 3 days ago
VC
Purchasing Coordinator - Commodity
Vuteq Canada Inc.
Woodstock, ON
- $60,000 to $75,000 CAD / year
Purchasing Coordinator (Commodity Buyer) - VTCA
Added 3 days ago
A
Acheteur stratégique pièces de détails / Strategic Buyer Detail Parts
Airbus
Mirabel, QC · Montreal, QC
- Full-time
Acheteur stratégique pièces de détail / Strategic buyer detail parts
Added 3 days ago
A
Regional Procurement Business Partner
Arcadis
Toronto, ON
- Full-time
…procurement business partner for Canada, owning and driving project procurement strategies, subcontracting, supplier management and contract lifecycle activities from pursuit through…
Added 3 days ago
AC
Acheteur | Buyer
Aston Carter
Brossard, QC
- $40 to $45 CAD / hour
- Full-time
Experience as a Project Buyer or in a similar procurement role.
Added 3 days ago
Buyer, Specialty Products (Lifting, Fall Protection & Electrical)
Pomerleau
Montreal, QC · QC
Procure project-specific materials for construction sites.
Added 3 days ago
Procurement Specialist – Construction Materials
Pomerleau
Montreal, QC
As a Construction Materials Buyer, reporting to the Director of Procurement Operations, you will be responsible for managing the procurement process for construction materials required on…
Added 3 days ago
G
AI Agent Engineer
Gigi
Toronto, ON
- Full-time
…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…
Added 3 days ago
C
Pharmacy Technician, Pharmacy – Permanent Full-Time (1.0)
CHEO
Ottawa, ON
- Full-time
Records and reports any shortages of pharmaceuticals or supplies on the appropriate order list and to the pharmacy buyer
Added 3 days ago
AS
Buyer
Aker Solutions
St. John's, NL
- Full-time
Our team in St. John's, NL is growing and we're seeking a Buyer to support our Supply Chain Management group!
Added 4 days ago
CM
Buyer
Compass Minerals
Goderich, ON
- Full-time
We are currently hiring a Buyer to join the team at our Goderich Mine facility in Goderich, ON. This is not a fly in/fly out position as you are required to relocate.

Gigi

AI Agent Engineer

Toronto, ON, Canada

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

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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.

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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

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