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Added 12 mins ago
MN
Project Coordinator
Modern Niagara
Ottawa, ON
- Full-time
The Project Coordinator works closely with the Project Manager to support the successful execution of projects. This role provides technical and administrative assistance to ensure projects…
Added 12 mins ago
DH
Entitlements Project Manager-WA
D.R. Horton
Vancouver, BC
- Full-time
D.R. Horton, Inc. is currently looking for a Entitlements Project Manager-WA. The right candidate is responsible for coordinating internal departments, public agencies, utilities, and…
Added 12 mins ago
Sales Support Manager - Montreal (m/f/d)
Nordex Group
Montreal, QC
The role of Sales Support Manager directly supports Nordex’s mission to develop and deliver clean power plants that make 100% renewable energy a reality for the world. As the Sales Support…
Added 12 mins ago
MH
Senior Growth Marketing Manager
Maya HTT
Remote, Canada
- Full-time
- Remote
Maya HTT is a leading developer of digital engineering solutions and a trusted Siemens Digital Industries Software partner. For more than 40 years, we have helped manufacturers innovate…
Added 12 mins ago
P
Technical Account Manager | Gestionnaire de comptes technique
Plotly
Remote, Canada
- Full-time
- Remote
Plotly builds the tools millions of developers use to work with data. Our open-source libraries are downloaded millions of times per day, Dash is one of the most popular ways to build data…
Added 12 mins ago
TO
Supervisor Roads - Temporary
Township of Springwater
Elmvale, ON · Midhurst, ON
- Full-time
Reporting to the Manager, Roads, as part of a team of three (3), the position is responsible for providing daily leadership, scheduling, coordination, and oversight of unionized frontline…
Added 12 mins ago
H
GNSS Software Engineer
Hexagon
Calgary, AB
- Full-time
…implement GNSS tracking and algorithm enhancements, perform data analysis, participate in firmware qualifications, and collaborate with the Applications Engineering team to support complex…
Added 13 mins ago
LE
Manager, Partner Engagement
LG Electronics Canada
Toronto, ON · North York, ON
- Full-time
The Manager of Partner Engagement is responsible for managing the day-to-day relationship of an identified set of partners within our smart TV ecosystem, the successful candidate will need…
Added 13 mins ago
TI
Performance Engineer
Themesoft Inc.
Toronto, ON
- Contract
Hands-on experience in performance testing & engineering using JMeter and APM tools (Prometheus, Dynatrace, Datadog)
Added 13 mins ago
ML
Engineering Manager
Maple Leaf Foods Inc
London, ON
- $122,000 to $172,000 CAD / year
- Full-time
The Engineering Manager is responsible for providing strategic and operational leadership for all engineering, capital projects, technical services, facility infrastructure, utilities, and…
Added 27 mins ago
B
Senior Analyst, Data Analytics & Automation Solutions
BMO
Toronto, ON · FCP
- Full-time
…business questions and provide insights through reporting and data visualization techniques. Works with other data and analytics professionals to optimize, refine, automate and scale…
Added 27 mins ago
Environmental Health & Safety Manager
Greenfield Global Inc.
Johnstown, ON
Job Title: Environment Health and Safety Manager
Added 42 mins ago
GS
Business Development Manager – RMC Solutions
Giatec Scientific Inc.
Ottawa, ON
- Full-time
Giatec Scientific Inc. is a global leader in smart concrete testing technologies, bringing real-time data, AI, and IoT solutions to jobsites worldwide. Our core products – SmartRock®,…
Added 57 mins ago
CG
Laboratory Tech I
CSA Group
Toronto, ON
- $2,914 to $3,379.7 CAD / week
- Full-time
Must be able to read, interpret and develop engineering drawings and test data.
Added 57 mins ago
Sr/Lead Expeditor
Kiewit
Calgary, AB
…management, and program governance remain with the designated lead or…
Added 57 mins ago
Director, Senior Product Manager, Global Capital Markets (GCM) Transformation - Toronto, ON
Scotiabank
Toronto, ON
The Senior Product Manager is accountable for the strategy, roadmap, and success of a significant Capital Markets product or complex business capability. The role partners with business,…
Added 57 mins ago
Senior Manager, Product Manager, Global Capital Markets (GCM) Transformation - Toronto, ON
Scotiabank
Toronto, ON
Senior Manager, Product Manager, Global Capital Markets (GCM) Transformation – Toronto, ON
Added 57 mins ago
E
Director, Construction
Extendicare
Markham, ON · Extendicare (Canada) Inc (Steeles Ave.)
- Full-time
Take on direct project responsibility, or co-lead delivery, on select large-scale or complex projects alongside the assigned Project Manager as required
Added 1 hour ago
Specialist - Engineering Change Analyst
L3Harris Technologies
ON · Waterdown, ON
Ensure the accuracy and integrity of engineering data, product structures, part information and associated documentation within company PLM and ERP systems.
Added 1 hour ago
Financial Analyst
ATS Automation
Cambridge, ON
Perform basic reconciliations to ensure data accuracy.
Added 1 hour ago
WF
Master Data Control Analyst
West Fraser
Toronto, ON
- Full-time
Reporting to the Master Data Control Manager, the Master Data Control Analyst is responsible for working with business users and IT to provide hands-on support for enterprise master data…
Added 1 hour ago
Senior Fullstack Developer (Python) - AI features team
AlayaCare
Montreal, QC
We are seeking a Senior Full Stack Developer to join our AlayaLabs team within the Data & Intelligence division. Reporting to the Engineering Manager, you will contribute to both frontend…
Added 1 hour ago
B
Product Manager III, Account Acquisition
Bankjoy
Remote, Canada
- Full-time
- Remote
…Youth Account Opening to market. You will work closely with engineering, implementation, and our credit union and bank clients to turn account opening into a reliable engine for deposit…
Added 1 hour ago
Security Officer
Rosewood Hotel Group
Vancouver, BC
Contact the Security Manager immediately for emergency situations.
Added 1 hour ago
IG
Construction Manager
Insight Global
Toronto, ON · Etobicoke, ON
- $52 to $76 CAD / hour
- Contract
We are seeking an experienced Construction Manager to support the successful delivery of a large-scale data centre project as it progresses through its final stages of construction,…

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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