AI Systems Engineer: Automation, Agents & Data Infra

Betstamp; Toronto; On-site; CAD 90,000 - 130,000; Full time

Benefits offered by this job

Competitive salary

Autonomy & influence

Gear & learning stipend

AI-Augmentation

World-Class betting tools

Sports-centric culture

Job summary

Betstamp is seeking an AI-native engineer to build automation, AI workflows, and data pipelines at scale. You will create systems that automate engineering tasks, generate code, and manage sportsbook data feeds to keep our platform fast and reliable.

You’ll work with Go, Python, and modern tooling to ship features that reduce manual work and increase developer velocity in an early-stage environment.

Qualifications

• 3+ years building production systems (Go / Python a plus).
• Experience with large-scale data processing and distributed system patterns.
• Experience with AI tools, agents and developer automation.

Responsibilities

• AI workflows that generate and validate code, scripts, and integrations.
• Systems that automatically create and maintain sportsbook data feeds.
• Developer tooling that automates debugging, testing, and deployments.
• High-scale data ingestion pipelines for sportsbook markets and odds feeds.
• Monitoring agents that detect failures and propose fixes automatically.

Skills

AI workflows

Automation

Distributed systems

Go

Python

Data pipelines

Tools

Postgres

ClickHouse

AWS

LLM tooling

Job description

Betstamp is seeking an AI-native engineer to build automation, AI workflows, and data pipelines at scale. You will create systems that automate engineering tasks, generate code, and manage sportsbook data feeds to keep our platform fast and reliable.

You’ll work with Go, Python, and modern tooling to ship features that reduce manual work and increase developer velocity in an early-stage environment.