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Added 22 days ago
Staff FullStack Engineer, Okta Secures AI
Okta
Toronto, ON
Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work…
Added 1 month ago
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 1 month ago
Robotics Integration Engineer – Robot, Vision & Edge Connectivity, Kitchener, ON
Siemens
Kitchener, ON
Full-time
About the role: Robotics Integration Engineer for Robot, Vision, and Edge Connectivity
Added 1 month ago
Frontend / UX Engineer - Robotics Data Operations, Kitchener, ON
Siemens
Kitchener, ON
Full-time
About the role: Frontend / UX Engineer for Robotics Data Operations
Added 1 month ago
Backend Engineer – Data Ingestion & APIs, Kitchener, ON
Siemens
Kitchener, ON
Full-time
About the role: Backend Engineer for Data Ingestion, APIs, and Connectors
Added 1 month ago
Agentic AI & DevOps Automation Engineer - Robotics Data Platform, Kitchener, ON
Siemens
Kitchener, ON
Full-time
About the role: Agentic AI & DevOps Automation Engineer for Robotics Data Platform
Added 1 month ago
Senior AI/ML & Robotics Platform Engineer
Siemens
Kitchener, ON
Full-time
We are seeking a Senior AI/ML & Robotics Platform Engineer to help define the data, metadata, validation, and evaluation backbone for a Physical AI platform in Canada. This role will be…
Added 1 month ago
Backend Engineer – Workflow Execution and Orchestration, Kitchener, ON
Siemens
Kitchener, ON
Full-time
About the role: Backend Engineer for Workflow Execution and Orchestration
Added 1 month ago
Senior Server Engineer
GamblingCareers.com
Canada
Full-time
We are looking for a Senior Server Engineer who would work closely with Product, Analytics, Data Engineering, Infrastructure, and the Engineering team. You'll help shape the technical…
Added 1 month ago
Senior Full-Stack Engineer
Landjourney Technologies
Montreal, QC
$160,000 to $170,000 CAD / year
Full-time
…a second product, both against the same Python and FastAPI backend. So we are not asking a React engineer to abandon what they know. Most of this role is Angular and our take-home…
Added 1 month ago
Forward Deployed Agile Software Engineer
TribalScale
Toronto, ON
Full-time
Work across the technology stack, contributing wherever needed - from user interfaces and backend services to AI infrastructure, data workflows, and deployment pipelines.
Added 1 month ago
Java Developer
Capgemini
Montreal, QC
We're seeking a Java Engineer to join our Market Risk Technology team. In this role, you will develop and enhance the Market Risk Platform.
Added 1 month ago
Senior Software Engineer, AI
Klue
Toronto, ON
$140,000 to $230,000 CAD / year
Full-time
…code. You're comfortable with Python and have experience with backend frameworks, APIs, and production infrastructure. You care about reliability, observability, and…
Added 1 month ago
Software Developer IV, Data
ACV
Toronto, ON
…focusing on the VIN Decoder platform. The position will focus on backend development, AWS Postgres, GCP BigQuery, Redis, and python…
Added 1 month ago
Senior Full Stack Engineer
Structurely
Canada
Full-time
Senior Fullstack/Backend engineer with high agency to own and evolve our backend services. You’ll build reliable, scalable systems that support real-time, high-throughput workloads…
Added 1 month ago
Product Engineer - Full-Stack Developer
Liftoff
Montreal, QC
$70,000 to $120,000 CAD / year
Full-time
This role is for someone who wants end-to-end ownership over backend reliability and experiment velocity, and loves shipping.
Added 1 month ago
Lead AI Engineer
Tiger Analytics
Canada
Full-time
Oversee AI platform services, backend APIs, microservices, MLOps, observability, and cloud infrastructure.
Added 1 month ago
Senior Back End Engineer
Stellar Creative Lab
Vancouver, BC
$130,000 to $150,000 CAD / year
Full-time
We are looking for a Senior Backend Engineer to architect and build the robust backend platform that transforms Slingshot GenAI software from an internal prototype into a professional,…
Added 1 month ago
Senior / Intermediate Full Stack Engineer (Backend-Leaning)
Valsoft Corporation
Remote, Canada
Full-time · Remote
…restaurant organizations that operate at scale. We’re looking for a backend-leaning Full Stack Engineer who enjoys solving meaningful product problems, designing thoughtful systems, and…
Added 1 month ago
Software Engineer II - Agentic AI Foundations
Socure
Toronto, ON
$135,000 to $175,000 CAD / year
Full-time
2+ years of professional software engineering experience, with demonstrated experience in distributed systems, backend platforms, infrastructure, or comparable technical environments.
Added 1 month ago
Senior Game Backend Engineer
Offworld industries
New Westminster, BC
$110,000 to $135,000 CAD / year
Full-time · Temporary
…ability to do the same. We are looking for a talented Game Backend Engineer to take technical ownership of our live-service game’s microservice backend. You will play a critical role in…
Added 1 month ago
Senior/Staff Software Engineer
Senpilot
Toronto, ON
Full-time
We are building production-grade intelligence that sits at the heart of how critical infrastructure is planned, monitored, and regulated, helping utilities unlock the next generation of…
Added 2 months ago
Senior Back End Engineer (Data Platform)
Forma.ai
Toronto, ON
Full-time
As a Senior Engineer, Data Platform, you are expected to operate with strong ownership and sound technical judgment. This includes identifying risks in the work you own, surfacing edge…
Added 1 month ago
Senior Software Engineer – Ruby on Rails / SaaS
Global Fleet Management
Burnaby, BC
$120,000 CAD / year
Full-time
This is a relocation opportunity to Vancouver, Canada for an experienced Ruby on Rails Engineer.
Added 1 month ago
Senior Back End Engineer
Dabadu
Kitchener, ON
Full-time
System Performance and Scalability: Optimize existing systems for performance and scalability, ensuring the backend infrastructure can handle growing demand.

Gigi

Software Engineer, Full Stack

Toronto, ON, Canada

Pay: Base salary: $110k to $200k depending on experience level
Job type: Full-time
Apply by: Feb 2, 2027
Posting language: English
Posted: Aug 6, 2026

Apply About employer

Applications open in a new tab.

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.

Apply About employer

More about this job

Responsibilities

Own end-to-end feature development for an AI agent, from the data layer and agent logic to the customer interface. Design reliable agentic systems including retrieval, memory, and guardrails while integrating directly with customer feedback.

Requirements

Requires a strong track record of shipping production software and proficiency in full stack engineering fundamentals. Candidates should be eager to use AI coding tools and possess the judgment to balance probabilistic LLM reasoning with deterministic software execution.

Skills

Full Stack Engineering
Python
FastAPI
TypeScript
Vue
Nuxt
Java
Spring Boot
PostgreSQL
Pgvector
Redis
NATS
AWS
LangGraph
LangChain
System Design

Benefits

Equity
Catered lunch
Health coverage
Dental coverage
Apple equipment

Visa sponsorship

Not detected in the job text

Keywords

LLM
AI Agent
Agentic Systems
Amazon DSP
Codex
Claude Code
Cursor
Python
FastAPI
LangGraph
LangChain
TypeScript
Vue
Nuxt
Java
Spring Boot
PostgreSQL
Pgvector
Redis
NATS
AWS
API Design
Data Modeling
Retrieval
Guardrails
Evals
Enterprise Media Buying
Ecommerce
Real-time Data Pipelines
System Design

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