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AI Agent Engineer

gigiTorontoEngineering
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Salary
$110k to $200k
Job type
Full-time
Experience
Mid
Posted
2 Oct 2026
Status
Open · checked 7d ago

About this role

Gigi is hiring an AI Agent Engineer in Toronto to own the end-to-end development of the agents and workflows powering their enterprise media buying platform. This role suits a hands-on software engineer with experience building applications using large language models who wants to shape core product capabilities.

Role Overview

Gigi operates an agentic operating system for enterprise media buying, featuring an AI media manager for Amazon DSP. Located in Toronto, the engineering team functions in an in-office environment with flexibility to work remotely on Wednesdays. The position centers on designing reliable software systems where LLMs reason, utilize tools, manage context, and execute customer actions.

Key Responsibilities

Ship end-to-end agent capabilities, spanning data ingestion, tool utilization, reasoning, execution, and customer-facing interfaces.
Leverage AI coding assistants such as Codex, Claude Code, and Cursor within the daily development workflow while maintaining accountability for software architecture and correctness.
Establish agent judgment by determining autonomous actions versus human escalations and scoring actions based on risk and confidence metrics.
Balance probabilistic LLM reasoning with deterministic software execution to handle incomplete context and tool failures.
Evaluate and improve agent behavior by turning production failures and customer workflows into regression tests and evaluations.
Engage directly with customers by joining calls and reviewing transcripts to translate ambiguous problems into shipped product features.

Requirements

Demonstrated track record of building and shipping production software used by real customers.
Strong software engineering background with core depth in backend or full-stack development, including system design, API creation, data modeling, testing, and debugging.
Hands-on experience building applications with LLMs or agents through professional work, open source contributions, or substantial personal projects.
Comfort working across the entire technology stack with a willingness to learn unfamiliar areas.
Strong technical judgment to review AI-generated code, reject weak abstractions, and catch missing edge cases.

Nice to Have

Prior production experience with LLMs covering evaluations, guardrails, tool use, retrieval, agent orchestration, cost, and latency.
Experience constructing evaluation datasets or utilizing production traces and customer feedback to refine agent behavior.
Background working within advertising or ecommerce industries.
Experience developing real-time data pipelines at scale or operating as an early employee at a startup.
Experience maintaining production systems requiring strict correctness, permissions, auditability, and customer trust.

Skills and Tools

Python
FastAPI
LangGraph
LangChain
TypeScript
Vue
Nuxt
Java
Spring Boot
PostgreSQL
pgvector
Redis
NATS
AWS
Codex
Claude Code
Cursor

Salary and Benefits

Base salary ranging from $110,000 to $200,000 based on experience level.
Meaningful equity and ownership with opportunities for equity top-ups for top performers.
In-office work culture in downtown Toronto with remote work flexibility on Wednesdays.
Catered lunches.

About the Company

Gigi is the agentic operating system for enterprise media buying, backed by investors Golden Ventures and Aperiam Ventures. The founding team brings over 15 years of experience building in Amazon Ads and ecommerce, including a prior exit exceeding $100 million.

How to Apply

Apply on the official company careers page to submit your application for the AI Agent Engineer position.

Skills and tech stack

Questions candidates ask

Where is the job located?

The role is based in Toronto with an in-office culture downtown and the option to work where you are most productive on Wednesdays.

What is the salary range for this role?

The base salary ranges from $110k to $200k, depending on experience level, alongside meaningful equity.

Do I need years of professional LLM experience to apply?

No, you do not need years of professional LLM experience or an AI research background, but you do need hands-on experience building with LLMs or agents through work, open source, or personal projects.

What technology stack does the company use?

The engineering stack includes Python, FastAPI, LangGraph, LangChain, TypeScript, Vue, Nuxt, Java, Spring Boot, PostgreSQL, pgvector, Redis, NATS, and AWS, alongside AI coding tools like Codex, Claude Code, and Cursor.

Will I work directly with customers?

Yes, engineers sit in on customer calls, read transcripts, and take feedback directly from media buyers to turn ambiguous problems into shipped product features.

Ready to apply?

The application is on the official gigi careers page.

Apply on company site