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Added 2 months ago
CI
Senior Engineer, TFM, Risk & Total Fund Management Technology
CPP Investments | Investissements RPC
Toronto, ON
- Full-time
As Senior Engineer, Total Fund Management Technology, you will design, build, test, and support technology solutions that enable portfolio construction, monitoring, analytics, and Total…
Added 2 months ago
A
Stagiaire en Développement Cloud, Intern Cloud Developer – FCAP
Autodesk
Montreal, QC
- Full-time
Posséder une expérience en développement logiciel backend ou orienté objet, de préférence avec Java ou un langage similaire (Kotlin, C#, Python ou Go).
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
SG
Staff Machine Learning Engineer
SCIENTIFIC GAMES
Montreal, QC
- Full-time
…partner of choice for government lotteries. From cutting-edge backend systems to exciting entertainment experiences and trailblazing retail and digital solutions, we elevate play every day.…
Added 2 months ago
M
Senior Platform Engineer
Midnite
Remote, Canada
- Full-time
- Remote
We're looking for a Senior Platform Engineer to help evolve the systems that power Midnite as we scale across markets, starting with our Canada launch.
Added 2 months ago
BC
Sr. Software Engineer (AI/ML)
Blackpoint Cyber
Remote, Canada
- $150,000 to $180,000 CAD / year
- Full-time
- Remote
…accelerate Blackpoint Cyber's ML/AI capability. As a Senior Software Engineer on this team, you'll own back-end systems and data/ML pipelines end-to-end, work cross-functionally across…
Added 2 months ago
BC
Software Engineer (AI/ML)
Blackpoint Cyber
Remote, Canada
- $128,000 to $158,000 CAD / year
- Full-time
- Remote
…accelerate Blackpoint Cyber's ML/AI capability. As a Software Engineer on this team, you'll build back-end systems and data pipelines within established architecture, working…
Added 1 month ago
Software Engineer, Wallet
Robinhood
Toronto, ON
As a Software Developer, you will build and own the backend services, infrastructure, and data systems that support Robinhood Wallet products. You will develop new features and system…
Added 2 months ago
RA
Software Engineer II, Vehicle Data Services
Rivian and Volkswagen Group Technologies
Remote, Canada
- $77,400 to $102,620 CAD / year
- Full-time
- Remote
…which determines what the metadata layer has to describe. An engineer who can hold that whole path in their head is worth more to us than a specialist in any single…
Added 2 months ago
G
Software Engineer, Full Stack
Gigi
Toronto, ON
- Full-time
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.
Added 3 months ago
FH
Senior Software Engineer - Fullstack
Function Health
Canada
- Full-time
…imaging facilities in 150+ cities across the US and abroad. This infrastructure sits at the core of Function's mission to move healthcare from reactive to proactive, and is scaling rapidly…
Added 3 months ago
PI
Data Engineer
Princeton IT Services, Inc
Toronto, Ontario
- Full-time
We are building a modern data platform centered on Snowflake and are seeking a Snowflake-focused Data Engineer to design, build, and operationalize Snowflake-native solutions. This role…
Added 1 month ago
Staff Software Engineer, Product Risk
Stripe
Toronto, ON
Stripe is a financial infrastructure platform for businesses. Millions of companies - from the world’s largest enterprises to the most ambitious startups - use Stripe to accept payments,…
Added 1 month ago
Machine Learning Engineer, Safety and Customer Care AI
Lyft
Toronto, ON
…direct touchpoint with riders and drivers. We handle critical infrastructure that powers both human associates and AI agents to make riders and drivers feel safe and comfortable while…
Added 2 months ago
I
Senior Frontend Engineer
Ignition
Remote, Canada
- $160,000 to $190,000 CAD / year
- Full-time
- Remote
As a Senior Front-end Engineer, you’ll lead the delivery of high impact product and platform work across the stack. We’re looking for someone with strong ownership, sharp product instinct,…
Added 2 months ago
Senior Principal Site Reliability Engineer
Questrade Financial Group
Toronto, ON
We’re looking for our next Senior Principal Site Reliability Engineer. Could It Be You?
Added 2 months ago
Développeur Golang / Golang Developer
mthree
Montreal, QC
…Developer for one of our clients. This role is ideal for a backend engineer who enjoys working across both software development and operational functions. You will play a key role in…
Added 4 months ago
T
Senior Software Engineer
Treewalk
Canada
- Full-time
…AI in the accounting and finance space. The Senior Software Engineer will be the hands-on architect and builder of the new systems shaping our business - and the technical counterpart to…
Added 2 months ago
Forward Deployed Agile Software Engineer
TribalScale
Toronto, ON
Work across the technology stack, contributing wherever needed - from user interfaces and backend services to AI infrastructure, data workflows, and deployment pipelines.
Added 3 months ago
MI
MultiX Innovations - CTO / Technical Co-Founder
MultiX Innovations
Remote, Canada
- Full-time
- Remote
Equity Only | Early Stage | Blockchain Infrastructure
Added 3 months ago
L
Lead .Net Azure Developer - Toronto, ON (Hybrid)
LTM
Ontario · Ontario, Canada
- $110,000 to $120,000 USD / year
- Full-time
We are seeking a highly skilled Full Stack Engineer with strong expertise in NET Core Angular Azure Cloud and Azure DevOps.
Added 3 months ago
PU
Staff Software Engineer
Purpose Unlimited
Canada
- Full-time
Full-stack depth - you move between frontend, backend, and infrastructure when the problem demands it.
Added 2 months ago
J
Senior Software Engineer, Applied AI (Netherlands)
Justworks
Toronto, ON
- €143,000 to €184,000 EUR / year
…spans critical areas including LLM-powered agent design, robust backend service architecture, tool and integration development, and sophisticated knowledge…
Added 2 months ago
Senior Software Engineer, Applied AI (Spain)
Justworks
Toronto, ON
…spans critical areas including LLM-powered agent design, robust backend service architecture, tool and integration development, and sophisticated knowledge…
Added 2 months ago
G
Full Stack Software Engineer
Gumloop
Vancouver, BC
- Full-time
Gumloop is the piece of AI infrastructure companies roll out to let everyone build agents securely. Let people who understand the problem build and share agents, manage their access to…

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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