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Added 3 days ago
G
Développeur(euse) logiciel / Software Developer - C#/.NET
Genetec
Montreal, QC
- Full-time
Développement et intégration d'API interne et externe
Added 3 days ago
RC
Senior Backend Java Developer
Realtek Consulting LLC
Toronto, ON
- Contract
We are seeking 8-12 years experienced highly skilled Senior Backend Java Developer with strong expertise in Java, Spring Boot, Microservices, API Integration, Azure Cloud, and…
Added 3 days ago
Digital Architect
Government of Alberta
AB
Experience with various programming languages (e.g., Python, Java, .NET, Node.js).
Added 3 days ago
AC
Fullstack Developer
Adastra Corporation
Markham, ON
- Contract
We are looking for a Full Stack Developer to build scalable, production-ready applications that combine modern backend engineering with advanced AI and Generative AI capabilities. The role…
Added 3 days ago
A
Entry Level Technology Development Program - Summer Analyst - Canada - NAELFY27
Accenture
Calgary, AB · Vancouver, BC · Ottawa, ON · Toronto, ON · Montreal, QC · Regina, SK
- Full-time
Collaborate with engineering teams to support API integrations, tool use implementations, and agentic workflow design using Anthropic's platform.
Added 3 days ago
O
Sr. Software Developer
OpenText
Richmond Hill, ON
- Full-time
The Senior Software Developer is a hands-on technical contributor and emerging technical lead who designs, develops, and supports Java and Spring Boot microservices running on Google Cloud…
Added 3 days ago
EC
Java Developer
Experis Canada
Toronto, ON
- Contract
5+ years of experience developing enterprise applications using Java and Spring Boot.
Added 3 days ago
FG
Software Developer | Banking & Capital Markets
FDM Group
Toronto, ON
- Contract
FDM is seeking a Experienced Software Developer located in Toronto to support a project in the Banking & Capital Markets sector. Involvement in this project is anticipated to last initially…
Added 3 days ago
AI
Java Developer
Apptoza Inc.
Mississauga, ON
- Full-time
Microservices architecture (service decomposition, API contracts)
Added 3 days ago
T
Senior Software Developer In Test - Python Automation Engineer
Telesat
Ottawa, ON
- Contract
Read and understand existing Java code and create or modify small Java scripts or utilities when required. The role does not own Java-based test automation.
Added 3 days ago
TI
Full Stack Developers
Teckhorizon Inc
Toronto, ON
- Contract
…integrations to subscription-driven event processing using Java, Node.js, AWS Lambda, React, SMART on FHIR, and NextGen Connect…
Added 3 days ago
I
Software Developer - Full Stack - Senior (Health)
isgSearch
Toronto, ON · Greater Toronto Area, Canada
- Full-time
Backend Development: Senior-level Java, Node.js, REST API, and FHIR integration experience.
Added 3 days ago
RT
Sr. Software Developer - Full Stack
Russell Tobin
Toronto, ON
- $90 to $95 CAD / hour
- Contract
Job Title: Sr. Software Developer - Full Stack
Added 3 days ago
T
Software Engineer II (SDET)
TD
Toronto, ON
- Full-time
Added 3 days ago
B
DevOPS/Cloud Engineer – Senior (AWS CDK/Public Sector exp)
Bevertec
Toronto, ON
- Contract
AWS Lambda and API Gateway engineering experience, including deployment, integrations, triggers, runtime configuration, permissions, authentication, concurrency, timeouts, logging,…
Added 3 days ago
API Lead Architect
Capgemini
Mississauga, ON
Define enterprise API architecture, strategy, governance, security, and reusable standards.
Added 3 days ago
M
Full-Stack Software Engineer
Manulife
Toronto, ON
- Full-time
Build and enhance solutions using technologies such as Java, Python, Node.js, SQL, Azure Data Factory, Azure Synapse Analytics, and Azure Data Lake Storage.
Added 3 days ago
T
Senior Consultant, Software Delivery Developer - Gen AI and AI-Accelerated Modernization
Toast
Montreal, QC
- $77,000 to $102,000 USD / year
- Full-time
…Canada. We’re looking for a Senior Consultant, Software Delivery Developer to join their Gen AI and Software Delivery team in Montreal or Quebec City. This team helps major organizations…
Added 3 days ago
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Chef(fe) d'équipe tests de production / Test Software Team Lead - Manufacturing
Genetec
Montreal, QC
- Full-time
Excellente maîtrise de C# ou d'un langage moderne (Java, React, Angular, Go)
Added 3 days ago
G
Chef(fe) d'équipe tests de production / Test Software Team Lead - Manufacturing
Genetec
Remote, Canada
- Full-time
- Remote
Excellente maîtrise de C# ou d’un langage moderne (Java, React, Angular, Go)
Added 3 days ago
CO
Application & Integration Technical Analyst
City of Saint John
Saint John, NB
- Full-time
Server-side languages: C#/.NET, Java, Python, PHP
Added 3 days ago
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Software Engineer, Full Stack
Gigi
Toronto, ON
- Full-time
…FastAPI, LangGraph and LangChain; TypeScript, Vue and Nuxt; Java and Spring Boot; PostgreSQL, pgvector, Redis and NATS; and…
Added 3 days ago
S
Staff Security Engineer
Snaplii
Toronto, ON · Etobicoke, ON
- Full-time
…essential: you should be comfortable working directly in our Java and Spring Boot services, writing automated tests, and taking changes through review, rollout and…
Added 3 days ago
SI
Senior Developer
SAP IT Business Systeme
Montreal, QC
- $108,100 to $222,800 CAD / year
- Full-time
Expert level in Java; experience with Spring Boot preferred and proven experience with REST API design and asynchronous messaging (Kafka, or similar)
Added 3 days ago
KG
PKI & Certificate Automation Engineer
K&K Global Talent Solutions INC.
ON · Ontario, Canada
- Full-time
…Infrastructure, TLS/mTLS Security, Ansible Automation, and API Integration. The ideal candidate will lead the design and implementation of automated certificate issuance, renewal,…

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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