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Added 1 month ago
Solution Architect
Pattison Food Group
Langley (District), BC · Langley Office - Langley BC
Full-time
10+ years of progressive IT experience including software development, automation, systems integration, and solution architecture.
Added 1 month ago
Software Engineer, Agent - Retail
Sierra
Toronto, Ontario
Full-time
Every engineer on the Retail Team is a product-led thinker; every PM on Retail is also tinkering and developing tangible prototypes; and every strategist on Retail is capable of owning an…
Added 1 month ago
Senior Full Stack API Engineer
Questrade Financial Group
Toronto, ON
We’re looking for our next Senior Fullstack API Engineer. Could It Be You?
Added 1 month ago
Senior AI Engineer, Full-Stack - Agent Factory
Workday
Vancouver, BC · Canada, BC, Vancouver
Full-time
You'll own the end-to-end design, implementation, and product integration of our intelligent agents - and build the full-stack product surface those agents live in. Our ML Engineers build…
Added 1 month ago
Software Engineer, Integrations
Cohere
Remote, Canada
Full-time · Remote
We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for…
Added 1 month ago
Staff Engineer (AI & Engineering)
EQ Bank | Canada's Challenger Bank
Toronto, ON
Full-time
We are looking for a Staff Engineer, AI & Engineering who can bridge deep software engineering expertise with practical AI implementation. This role is ideal for a senior technical leader…
Added 19 days ago
Principal Software Engineer (Agentic Integration)
Black Duck Software, Inc.
Calgary, AB
The Integrations team is looking for a Principal Software Engineer who can architect - not just implement - the agentic workflows that connect Black Duck's application security products…
Added 15 days ago
Senior Software Developer
ATS Automation
ON · Woodbridge, ON
Designs and implements custom software based on customer and project requirements. Programming assignments may involve PC and/or PLC’s, and the integration of various third-party…
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
Sr. AI Engineer – Agentic Systems
Chubb
Toronto, ON
Full-time
The profile can come from either direction: a software engineer who has moved into AI systems, or an AI engineer with strong systems fundamentals. Either way we expect engineering…
Added 11 days ago
Mission Engineer - Vancouver, British Columbia
Axon
BC
Comfort working across technical and operational domains: hardware, software, cloud, AI-enabled technologies, and integrated systems
Added 2 months ago
Systems Engineer, Air & Naval Sonar, Intermediate/Working Level
General Dynamics Mission Systems–Canada
Ottawa, Ontario
Full-time
General Dynamics Mission Systems–Canada is looking for an experienced System Engineer to join our A&N Sonar team. In this role, you’ll lead systems engineering efforts that can span form…
Added 1 month ago
Sr. Systems Integration Engineer (Cybersecurity / Networking)
OSI Maritime Systems
Burnaby, BC
The Systems Integration Engineer 4 is part of the engineering team that develops marine navigation and bridge systems for OSI’s government and naval markets. The Systems Engineer plays a…
Added 2 months ago
Associate Engineer - AI
ZS
Toronto, Ontario
Full-time
We are seeking a highly skilled LLM Engineer with 1-4 years of experience in software development and 1-2 years in LLM solution development,. The ideal candidate will have strong experience…
Added 2 months ago
Staff Software Engineer - Lending Foundations
Nubank
Remote, Canada
Full-time · Remote
As a Staff Software Engineer – Lending Foundations, you will be a senior technical leader in this platform layer: defining the long-horizon technical direction for how Lending platforms…
Added 8 days ago
Senior Automation Engineer - Toronto, ON (Hybrid)
Pozent Corporation
Toronto, ON
Contract
Proven experience in software quality engineering, including functional, regression, and integration testing.
Added 3 months ago
Senior Full-Stack Engineer - Gravity (Offshore)
MedMe Health
Remote, Canada
$50,000 to $80,000 USD / year
Full-time · Remote
The Gravity pod owns some of MedMe's most critical integration workstreams - connecting pharmacies and healthcare providers to the systems and networks that keep patient care running. Our…
Added 24 days ago
Software Engineer, Internal Applications
VSG Recruitment
Remote, Canada
Full-time · Remote
VSG Recruitment is partnering with our Client to hire a Software Engineer, Internal Applications to build and ship software that improves how business teams operate.
Added 3 months ago
Software Engineer
Loombotic
Toronto, Ontario
$120,000 to $185,000 USD / year
Full-time
You'll be one of our first software hires, building the systems that make an automated harness factory run: the instant-quoting engine, the production/MES software technicians and machines…
Added 8 days ago
Deployment Engineer
Maxima
Toronto, ON
Full-time
As a Deployment Engineer, you get customers live. You will sit alongside Account Executives through complex deal cycles, run technical proofs of concept, and then build what each customer…
Added 2 months ago
Software Development Engineer in Test II
LMI Technologies
Burnaby, BC
$75,200 to $107,160 CAD / year
Full-time
The role is for joining the Software Operations team as an SDET 2 - Automation and Build Developer.
Added 2 months ago
Software Development Engineer II, Ads Marketing Effectiveness & Intelligence
Amazon
Toronto, ON
…Content Recommendation Engine, and the Amazon Ads Academy. As a Software Development Engineer on the team, you will own and influence team software architecture, development, testing, and…
Added 9 days ago
System Engineer – Systems Integration
Octasic
Montreal, QC
The System Engineer is responsible for developing system-level solution concepts and integrating complex multidisciplinary systems into operational capabilities.
Added 4 months ago
Software Engineer, ML Platform
Afresh
Remote, Canada
$114,000 to $174,000 CAD / year
Full-time · Remote
…model deploys for our various ML solutions, or vastly improves integration testing across our ML…
Added 9 days ago
Data Engineer – Capital Markets
Synechron
Mississauga, ON
Full-time
…Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development…

Gigi

Software Engineer, Full Stack

Toronto, ON, Canada

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

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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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