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Added 4 mins ago
D
Manager, Business Development
Docebo
Remote, Canada
- $137,800 to $183,700 CAD / year
- Full-time
- Remote
Forge Cross-Functional Alliances: Collaborate in lockstep with Sales, Marketing, and Product teams to align go-to-market initiatives and engineer seamless, high-converting lead handoffs.
Added 18 mins ago
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Display Software Engineer
Collabera
Markham, ON
- $55 to $60 CAD / hour
- Contract
Added 18 mins ago
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Intermediate/Senior Electrical Engineer
Worley
Vancouver, BC
- Full-time
Registration as a Professional Engineer (P.Eng) with APEGA, or eligibility to obtain registration.
Added 18 mins ago
W
Senior Marine Project Manager
Worley
Vancouver, BC
- Full-time
Registered as a Professional Engineer (P.Eng.).
Added 18 mins ago
TC
DevOps Engineer
TMC Canada
Montreal, QC
- Full-time
Added 18 mins ago
AF
Lead UX Designer
Armstrong Fluid Technology
Toronto, ON
- Full-time
…brightest and most creative minds, driven by a shared mission to engineer the future and safeguard our…
Added 34 mins ago
JI
Engineer-in-Training, Platform Systems
J.D. Irving, Limited
Dartmouth, NS
- Full-time
We are seeking an Engineer-in-Training to join our Platform Engineering organization. In this role, you will play a critical part in defining and executing Requirements Management and…
Added 34 mins ago
JI
Lead Analytics Engineer & Data Platform Lead
J.D. Irving, Limited
Saint John, NB
- Full-time
We are seeking a Lead Analytics Engineer & Data Platform Lead to provide technical leadership through the evolution of analytics across the Sawmills Division.
Added 34 mins ago
C
AVP Applications Development Sr Programmer Analyst
Citi
Mississauga, ON
- Full-time
Build distributed microservices that power critical financial systems as a Senior Software Engineer, Java Microservices at Citi. You will design, develop, and implement scalable backend…
Added 34 mins ago
CH
Data Engineer
Cardinal Health
Vaughan, ON · Canada-Vaughan
- Full-time
We are seeking a Data Engineer to develop and support reliable data solutions for reporting, analytics, and business decision-making. This role works within established architecture and…
Added 34 mins ago
CH
Data Engineer
Cardinal Health
Vaughan, ON · Canada-Vaughan
- Full-time
We are seeking a Data Engineer to develop and support reliable data solutions for reporting, analytics, and business decision-making. This role works within established architecture and…
Added 48 mins ago
VB
Lead Geotechnical Engineer
Vale Base Metals
Sudbury, ON
- Full-time
We are currently seeking a Lead Geotechnical Engineer to join our Geotechnical - Dams team in Sudbury. The role is a permanent on-site position.
Added 48 mins ago
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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 48 mins ago
W
Senior Mechanical Engineer- Material Handling
Worley
Vancouver, BC
- Full-time
Worley is seeking a Senior Material Handling Engineer / Project Manager to provide senior-level mechanical engineering, materials handling, and project management expertise within the…
Added 48 mins ago
F
Senior Backend Engineer - Laravel & Go Microservices - On-site - Vancouver, Canada
FullStack
Vancouver, BC
- Full-time
Join our talent network and connect with U.S. clients for flexible, project-based development work as a Senior Backend Engineer - Laravel & Go Microservices.
Added 1 hour ago
MT
Full Stack Engineer
MVP Talent Corp
Calgary, AB
- $130,000 to $145,000 CAD / year
- Full-time
Full-Stack Developer using AI-Assisted Development Techniques
Added 1 hour ago
Staff Software Engineer - Identity & Access Management
Brex
Vancouver, BC
As a Staff Engineer on IAM, you will lead projects and initiatives to improve the security, reliability, and developer experience of our authentication, authorization, and identity…
Added 1 hour ago
F
Engineering Manager, AI
Felix
Remote, Canada
- $190,000 to $240,000 CAD / year
- Full-time
- Remote
Take part in all engineering-related and business-related decisions, with the expectation that you'll grow as a leader and engineer
Added 1 hour ago
Marketing & GTM Operations Lead (Hybrid)
OpenTable
Toronto, ON
Audit and re-engineer end-to-end go-to-market processes - including lead capture, enrichment, routing, and handoffs - to eliminate operational friction and accelerate pipeline velocity.
Added 1 hour ago
S
Staff Security Engineer
Snaplii
Toronto, ON · Etobicoke, ON
- Full-time
Added 1 hour ago
PC
Senior Safety Instrumented System Engineer II
Parkland Corporation
Burnaby, BC
- Full-time
The Safety Instrumented System (SIS) Engineer is the designated owner of the refinery's Safety Instrumented Systems (SIS) program and serves as the refinery's technical authority for Safety…
Added 1 hour ago
AS
Cloud DevOps Engineer
Alquemy Search & Consulting
Vancouver, BC
- Full-time
We are seeking a Cloud DevOps Engineer to join the Health Team. This role will focus on provisioning and maintaining Azure infrastructure, supporting Kubernetes-based applications, and…
Added 1 hour ago
JG
AI Engineer With Strong Python Coding - 8+ Years
J2B Global LLC
Mississauga, ON
- Full-time
Added 1 hour ago
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Artificial Intelligence Engineer
VySystems
Mississauga, ON
- Full-time
Added 1 hour ago
GV
Manufacturing Manager - Materials, Planning and Execution
GE Vernova
Markham, ON
- Full-time
…to define and continuously improve material flow across an engineer-to-order Grid equipment factory operating in a Lean Manufacturing environment, spanning both in-house production and…

Gigi

Software Engineer, Full Stack

Toronto, ON, Canada

Base salary: $150k to $200k depending on experience and talent level · Full-time

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Job details

Pay: Base salary: $150k to $200k depending on experience and talent level
Job type: Full-time
Apply by: Apr 26, 2027
Posting language: English
Posted: Oct 28, 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: $150k to $200k depending on experience and talent 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. Our office is right across from Union Station
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

Own end-to-end product features across data layers, agent logic, backend services, and customer-facing interfaces, while using AI coding tools to plan, build, test, and review software. Design reliable agentic systems with appropriate autonomy, risk and confidence assessment, human approval flows, and customer feedback incorporated into product decisions.

Requirements

Candidates should have a track record of building and shipping production software, strong full-stack engineering fundamentals, and depth in at least one area of the stack. They should be comfortable learning and using AI coding tools, exercise sound technical judgment, and be able to move quickly while maintaining software quality; prior AI research, advertising, or Amazon DSP experience is not required.

Skills

Full-Stack Software Engineering
Python
FastAPI
LangGraph
LangChain
TypeScript
Vue
Nuxt
Java
Spring Boot
PostgreSQL
pgvector
Redis
NATS
AWS
LLM Agent Development

Benefits

Equity
Catered Lunch
Snacks
Apple Equipment
Health Insurance
Dental Coverage

Visa sponsorship

Not detected in the job text

Keywords

Full-Stack Engineering
Agentic Software
Large Language Models
AI Coding Agents
Codex
Claude Code
Cursor
Python
FastAPI
LangGraph
LangChain
TypeScript
Vue
Nuxt
Java
Spring Boot
PostgreSQL
pgvector
Redis
NATS
AWS
API Design
System Design
Data Modeling
Retrieval
Agent Orchestration
Evaluations
Guardrails
Human Approval Flows
Amazon DSP

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