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Added 2 months ago
OG
Technology Consulting Lead
Onni Group of Companies
Vancouver, BC
- Full-time
…analytics, and modern software tooling. You do not need to be an engineer, but you need to be able to hold your own with…
Added 3 months ago
P
Founding AI Engineer
Paires
Remote, Canada
- $230,000 to $370,000 CAD / year
- Full-time
- Remote
We are hiring our Founding AI Engineer to own the agent layer of an AI-first fundraising platform: the conversational agents that run our warm outreach and investor relationships, and the…
Added 3 months ago
T
Senior Backend / Platform Engineer
TravelAI
Remote, Canada
- $180,000 to $200,000 CAD / year
- Full-time
- Remote
…then own the build going forward as part of a small, senior founding team working with our AI-first product…
Added 3 months ago
T
Senior Backend / Platform Engineer, Forward Deployed
TravelAI
Remote, Canada
- $180,000 to $200,000 USD / year
- Full-time
- Remote
…then own the build going forward as part of a small, senior founding team working with our Founding Product Lead and directly with the CEO's AI-first product…
Added 3 months ago
O
Founding Design Engineer (Mobile)
OmaScan
Remote, Canada
- $50,000 to $70,000 USD / year
- Full-time
- Remote
This is a design engineer role. You make the design decisions and you ship them. There's no handoff.
Added 3 months ago
MC
Staff, Quality Engineer
Mattel Canada
Montreal, QC
- Full-time
Mattel is seeking a Staff Quality Engineer to provide enterprise-level technical leadership and shape the global quality strategy across brands, regions, and product categories.
Added 2 months ago
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Investigations Engineer - Toronto
GPTZero
Remote, Canada
- $140,000 to $230,000 CAD / year
- Full-time
- Remote
…individuals, described by one investor as one of the strongest founding teams seen in their…
Added 4 months ago
FI
Principal Engineer - New Initiatives (Founding Platform Engineer)
Fulfillment IQ
Toronto, ON
- Full-time
Job Title: Principal Engineer - New Initiatives (Founding Platform Engineer)
Added 3 months ago
P
Founding Engineer (Full Stack, Mobile-First)
ProudZone
Remote, Canada
- Full-time
- Remote
We are pre-seed, international, and fully remote - with a founding team across Germany, Canada, and Portugal.
Added 2 months ago
G
Software Engineer, Full Stack
Gigi
Toronto, ON
- Full-time
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.
Added 2 months ago
A
Lead Infrastructure Engineer
AtoB
Montreal, QC
- Full-time
Our founding team has backgrounds in payments, working on autonomous vehicles at Cruise Automation, leading ops and growth for Uber, and building apps that were featured on the Apple app…
Added 3 months ago
MI
MultiX Innovations - CTO / Technical Co-Founder
MultiX Innovations
Remote, Canada
- Full-time
- Remote
Entrepreneurially minded - you think like a builder and an owner not just an engineer
Added 2 months ago
G
Full Stack Software Engineer
Gumloop
Vancouver, BC
- Full-time
Prior experience as a founder or founding engineer
Added 3 months ago
H
Senior Software Engineer
Hiive
Remote, Canada
- $150,000 to $275,000 CAD / year
- Full-time
- Remote
As a Senior Full Stack Engineer, you will be a hands-on contributor to the frontend and backend apps powering our platform. You will learn Elixir on the job from your colleagues and…
Added 3 months ago
T
Founding Product Engineer
truvara
Toronto, Ontario
- $150,000 to $200,000 CAD / year
- Full-time
Added 3 months ago
CA
Founding Data Scientist - Chorus (Toronto, Queen & Ossington / 68 Claremont St)
Chorus AI
Toronto, Ontario
- $150,000 to $170,000 CAD / year
- Full-time
Location: Toronto, Ontario - in office ~4 days/week (68 Claremont Street) Compensation: $150,000–$170,000 CAD + equity Reports to: Technical CEO, working directly with our Founding Engineer
Added 3 months ago
S
Associate Principal Software Engineer, Cloud & Edge Backend
Saviynt
Vancouver, British Columbia
- $220,000 to $235,000 USD / year
- Full-time
Come join us as founding members of Saviynt’s AI Security team and help us build out AI security for the world's leading enterprises.
Added 3 months ago
S
Principal Software Engineer, Endpoint Platform
Saviynt
Vancouver, British Columbia
- $240,000 to $250,000 USD / year
- Full-time
Come join us as founding members of Saviynt’s AI Security team and help us build out AI security for the world's leading enterprises.
Added 3 months ago
S
Principal Software Engineer, Platform Engineering & Edge Infrastructure
Saviynt
Vancouver, British Columbia
- $240,000 to $250,000 USD / year
- Full-time
Come join us as founding members of Saviynt’s AI Security team and help us build out AI security for the world's leading enterprises.
Added 3 months ago
S
Principal Software Engineer, Cloud & Edge Backend
Saviynt
Vancouver, British Columbia
- $240,000 to $250,000 USD / year
- Full-time
With the rise of AI and Agents, the identity perimeter needs to be secured at scale. Come join us as founding members of Saviynt’s AI Security team and help us build out AI security for the…
Added 2 months ago
M
Founding QA Engineer - Toronto
Maxima
Toronto, ON
- Full-time
You will be our first Founding QA Engineer in Toronto, and you will own quality for a product that prepares accounting work for enterprise customers, where a missed edge case shows up in…
Added 3 months ago
PR
Senior Mechanical Engineer
Promise Robotics
Calgary, AB
- Full-time
We’re looking for a Senior Mechanical Engineer to join our team and contribute to developing cutting-edge solutions for our core robotic manufacturing technologies. This role will be based…
Added 3 months ago
PR
Senior Robotics and Control Engineer
Promise Robotics
Calgary, AB
- Full-time
We’re looking for a Senior Robotics and Control Engineer to join our team and contribute to developing cutting-edge solutions for our core robotic manufacturing technologies. This role is…
Added 2 months ago
Manufacturing Engineer Team Lead
Price Industries Limited
Winnipeg, MB
…of air distribution products (www.priceindustries.com). The founding principles of Price have never changed – business integrity, first-class service, innovation and a commitment to people.…
Added 1 month ago
D
Founding Forward Deployed Engineer
Docebo
Remote, Canada
- $150,000 to $200,000 CAD / year
- Full-time
- Remote
As a founding member of our Forward Deployed Engineering (FDE) team, you will bridge the gap between cutting-edge AI technology and real-world impact. This is not a plug-and-play role with…

Gigi

Software Engineer, Full Stack

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: Aug 6, 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 doubled revenue in the past two months. We expect to double again by early Q4.

We're hiring an AI Builder - a full stack software engineer - to join our engineering team in Toronto and own end-to-end feature development for Gigi, our AI agent.

This is still fundamentally a software engineering role. Much of the work will feel familiar: designing APIs, building interfaces, modelling data, integrating services, writing tests, debugging production issues, and making architectural decisions. The main difference is the product we're building: agentic software where LLMs reason, use tools, and take actions on behalf of customers.

You do not need to be an AI researcher or have years of professional LLM experience. Strong full stack engineers who are excited to learn how agentic systems work 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.

This is the 12th role at Gigi. As an early employee, you will have a meaningful role in shaping our product, engineering culture, and company.

What you'll do

Ship end to end. You'll own features from the data layer through the agent logic to the interface a media buyer actually touches. 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. You'll learn to design tools, retrieval, memory, evaluations, guardrails, and human approval flows that make Gigi dependable enough to take action inside real advertising accounts. Prior experience with all of these is not expected.
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 a surface area of the product outright. When something breaks in it, or a customer asks for something new, you're the person who decides what happens.
Twelve months. You've shipped something we could not have built without you, and you've 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 full stack software engineering experience. The fundamentals you already have - system design, APIs, data models, interfaces, testing, debugging, and operating production software - transfer directly to this role.
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 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 end-to-end feature development for an AI agent, managing everything from data layers and agent logic to customer-facing interfaces. You will also collaborate directly with customers to translate feedback into product improvements while maintaining high standards for architecture and code quality.

Requirements

Candidates should have a strong track record of building and shipping production software with proficiency across the full stack. You must be comfortable using AI coding tools and possess the technical judgment to oversee architecture, testing, and debugging.

Skills

Full stack development
Python
FastAPI
TypeScript
Vue
Nuxt
Java
Spring Boot
PostgreSQL
AWS
System design
API design
Data modeling
Agentic systems
LLM integration
Debugging

Benefits

Equity
Health insurance
Dental coverage
Catered lunch
Snacks
Apple equipment

Visa sponsorship

Not detected in the job text

Keywords

Software Engineer
Full Stack
AI
LLM
Python
FastAPI
LangGraph
LangChain
TypeScript
Vue
Nuxt
Java
Spring Boot
PostgreSQL
Pgvector
Redis
NATS
AWS
Codex
Claude Code
Cursor
Agentic systems
System design
API
Data modeling
Advertising technology
Ecommerce
Production software
Startup

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