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Added 2 hours ago
AI Engineer
GEI Consultants, Inc.
Kitchener, ON
$110,000 to $150,000 CAD / year
Full-time
Azure or Databricks certifications (e.g., Azure AI Engineer Associate, Azure Solutions Architect Expert, Databricks ML Professional, Databricks Data Engineer Professional) are a plus.
Added 5 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 5 hours ago
AI Agent Engineer
Gigi
Toronto, ON
Full-time
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.
Added 7 hours ago
Senior Security Engineer, Detection and Response
Marqeta
Remote, Canada
Full-time · Remote
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Added 9 hours ago
Principal Front-Office Trading Integration Engineer - Vice President - Java, Talend, Kafka, ETL - Charles River Development -
State Street
Toronto, ON
Full-time
Principal Front-Office Trading Integration Engineer / Principal Consultants you will be assessing client needs and utilizing technical expertise to identify solutions which are in alignment…
Added 11 hours ago
Automation Business Consultant (RPA+AI Projects)
Greenlight Consulting
Toronto, ON · Greater Toronto Area, Canada
$100,000 to $130,000 CAD / year
Full-time
…client problems and automation solutions - equal parts discovery expert, AI prompt architect, pre-sales solutions contributor, and delivery quality anchor. You will work directly with…
Added 12 hours ago
Principal Front-Office Trading Integration Engineer - Vice President - Java, Talend, Kafka, ETL - Charles River Development -
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Full-time
Principal Front-Office Trading Integration Engineer / Principal Consultants you will be assessing client needs and utilizing technical expertise to identify solutions which are in alignment…
Added 12 hours ago
Superintendent
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Nisku, AB
Added 13 hours ago
Senior Workday Functional Specialist
Fanshawe College
London, ON
Full-time
Provide expert advice regarding Workday functionality, best practices, and solution alternatives
Added 13 hours ago
Senior Workday Functional Specialist
Fanshawe Toronto@ILAC
London, ON
Full-time
Added 13 hours ago
GTM Engineer | CV Labs | CanadaVisa
CanadaVisa
Remote, Canada
$130,000 to $150,000 CAD / year
Full-time · Remote
Audit and improve the attribution model by working closely with our AI engineer. When a lawyer signs a retainer, anyone on the team should be able to trace it to the ad, article or referral…
Added 14 hours ago
Staff Software Engineer – AI
Thomson Reuters
Toronto, ON
Full-time
As a Staff Software Engineer – AI on the Confirmation Product Engineering team, you will be a hands-on technical leader building and delivering production platform and AI capabilities. This…
Added 15 hours ago
Lead Architect / Principal Engineer
Litmus
Toronto, ON
Full-time
Expert-level Go and deep knowledge of distributed systems design, microservices, and large-scale service architectures.
Added 15 hours ago
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GHD Group Pty Ltd
Toronto, ON
Full-time
Added 16 hours ago
Senior Analytics Engineer – Data Modeling
SPECTRAFORCE
Toronto, ON · Greater Toronto Area, Canada
Contract
Senior Analytics Engineer – Data Modeling (Databricks), Capital Markets
Added 16 hours ago
Dsgn Engineer Specialist - Civil
Hydro One Networks Inc
Toronto, ON
Reporting to the Manager, Engineering, the Design Engineer Specialist provides advanced technical expertise and leadership in the planning, design, review, and implementation of complex…
Added 16 hours ago
Senior Front End Engineer
Spare
Remote, Canada
$151,000 to $208,000 CAD / year
Full-time · Remote
As a Senior Frontend Engineer, you’d turn the Design team’s direction into the product people actually use. You’d own the technical calls that keep our interfaces accessible, fast, and…
Added 16 hours ago
Senior Software Developer in Test (Development Focused)
Royal Bank of Canada
Montreal, QC
Full-time
…frameworks. In this role, you will serve as a subject matter expert, driving standards, compliance, and strategic automation for development tools and frameworks to enhance architecture and…
Added 18 hours ago
Hardware Validation Engineer, Sr Staff
Synopsys
Ottawa, ON
Expert-level proficiency in Cadence Allegro for schematic capture, PCB layout, and constraint-driven design
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Staff Validation/Verification Engineer - 17399
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We are seeking a Staff Validation Engineer to own bring-up, validation, characterization, and debug of high-speed memory PHY subsystems including DDR, LPDDR, and HBM. You will work across…
Added 18 hours ago
Quality Designer II – FC Live-Curation QV
Electronic Arts
Vancouver, BC
…SPORTS FC. You will act as a feature owner and subject matter expert for a key team deliverable, enhancing the content curation experience by integrating new technologies and driving test…
Added 18 hours ago
Senior Systems Engineer - Identity and Access Management
Electronic Arts
Vancouver, BC
We are looking for an experienced Senior Systems Engineer with deep expertise in both Identity & Access Management (IAM) and Windows Systems Administration to join our Identity Security…
Added 18 hours ago
Solutions Consultant
Procurify
Remote, Canada
Full-time · Remote
Serve as the subject-matter expert on Procurify's platform and on the broader procure-to-pay, spend management, and AP automation landscape.
Added 19 hours ago
Software Engineer
ALTEN Canada
Montreal, QC
Full-time
Nos expert·e·s sont sélectionné·e·s rigoureusement et assurent une proximité ainsi qu’un niveau de services et de compétences incomparable dans la région de Montréal.
Added 20 hours ago
Microelectronics Process Engineer
Actalent
Ottawa, ON · Kanata, ON
$110,000 to $160,000 CAD / year
Full-time
Expert knowledge of flip-chip assembly processes.

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

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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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