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Added 3 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 3 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
Expertise in backend development using languages such as Go, Python, or Java, with deep knowledge of cloud-native architectures.
Added 3 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
Data Engineer
Capgemini
Mississauga, ON
Expert level programming skills in Python and Pyspark specifically for developing Spark applications
Added 3 months ago
Senior Data Engineer
Talents LGS
Montreal, QC
…Analytics & Data Services), we are looking for a Senior Data Engineer – Hybrid Cloud & Data to participate in the design, development, and evolution of modern data platforms for our…
Added 2 months ago
PC
Spécialiste DevOps / DevOps Specialist
Portage CyberTech
Gatineau, QC
- Full-time
Langages de script et d’automatisation tels que Python, Bash, PowerShell ou équivalents.
Added 3 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
MH
Senior Full-Stack Automation Engineer - Gravity
MedMe Health
Remote, Canada
- $115,000 to $176,000 USD / year
- Full-time
- Remote
We are a lean, fast-moving pod. Because demand is outpacing our capacity, we need an engineer who doesn't just write code, but naturally takes extreme ownership - someone who can step up,…
Added 3 months ago
FH
Senior Software Engineer - Fullstack
Function Health
Canada
- Full-time
Experience with Python, GCP & FastAPI a plus for future initiatives.
Added 3 months ago
F
Data Engineer
Financeit
Remote, Canada
- Full-time
- Remote
We are looking for a skilled and detail-oriented Data Engineer to join our growing data team. In this role, you will be responsible for building and maintaining the data pipelines, models,…
Added 4 months ago
ID
Sr Data Engineer -
iLink Digital
ON · East Toronto (Studio District), Ontario
- Full-time
We are seeking a highly skilled Databricks Engineer with
Added 3 months ago
AM
Lead SMU Validation Engineer - Data Center GPU
Advanced Micro Devices, Inc
Markham, ON
- Full-time
As an Lead SMU (System Management Unit) Validation Engineer in the Data Center and GPU Accelerated Processing Division, you will drive SMU hardware and power-management validation for AMD…
Added 2 months ago
Machine Learning Engineer, Safety and Customer Care AI
Lyft
Toronto, ON
As a Machine Learning Engineer on the SCC team, you will fine-tune and align models and build AI Agents that power how riders and drivers get help. Your work spans the full loop:…
Added 2 months ago
Q
DSP Systems Engineer, Staff
Qualcomm
Toronto, ON
- Full-time
We're looking for a Staff DSP Systems Engineer who brings strong technical fundamentals, a methodical approach to problem solving, and a genuine passion for high-speed signal processing.…
Added 2 months ago
Data Engineer
Lyft
Toronto, ON
As a Data Engineer on the SCC team, you will have ownership over the data modeling and pipelines that power SCC’s Associate and AI Agent Platform . Your efforts will be critical to the…
Added 2 months ago
Senior Lead Systems Engineer, AI & Automation
Braze
Toronto, ON
We're looking for a Senior Lead Systems Engineer who's passionate about building the next generation of enterprise technology through automation, software engineering, AI, and intelligent…
Added 3 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 3 months ago
T
Principal AI Engineer - Tangerine
Tangerine
Toronto, Ontario
- Full-time
Extensive experience in Python and its core data science libraries (e.g., Scikit-learn, Pandas, NumPy, Matplotlib/Seaborn)
Added 3 months ago
F
Senior Software Engineer (SDE II - Python) - Hybrid/Toronto
Fulfil
Remote, Canada
- $180,000 to $200,000 CAD / year
- Full-time
- Remote
Fulfil is hiring a Senior Software Engineer (Python Backend) in Toronto to become a key technical partner for our North American customers, our India-based engineering team, and our Product…
Added 3 months ago
F
Senior Software Engineer (SDE II - Python) - Remote/Canada
Fulfil
Remote, Canada
- $160,000 to $180,000 CAD / year
- Full-time
- Remote
Fulfil is hiring a Senior Software Engineer (Python) for a Remote role (Canada) Toronto to become a key technical partner for our North American customers, our India-based engineering team,…
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 3 months ago
BC
Senior Cloud Engineer - Google Cloud Platform (GCP)
BDO Canada
Toronto, Ontario
- Full-time
BDO Digital is looking for a Senior GCP Cloud Engineer to join their growing team. The individual will own the following responsibilities:
Added 3 months ago
Forward Deployed Agile Software Engineer
TribalScale
Toronto, ON
TribalScale is looking for a Forward Deployed Engineer to work at the intersection of software engineering, artificial intelligence, product development, and client delivery.
Added 3 months ago
Data Engineer I, Amazon Business Ops Analytics
Amazon
Toronto, ON · Vancouver, BC
- Experience with one or more scripting language (e.g., Python, KornShell)

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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