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Senior AI Systems Engineer; Automation​/Agents​/Data Infrastructure

Job in Toronto, Ontario, C6A, Canada
Listing for: Betstamp
Full Time position
Listed on 2026-09-23
Job specializations:
  • Software Development
    Backend Developer, DevOps, Software Engineer, AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 90000 - 130000 CAD Yearly CAD 90000.00 130000.00 YEAR
Job Description & How to Apply Below
Position: Senior AI Systems Engineer (Automation / Agents / Data Infrastructure)

About Us

Betstamp is the pricing intelligence layer for sports betting. We turn 200+ sports books, exchanges, and prediction markets into one sharp, real-time view of fair value — for the sports books that price against it, the bettors who bet with it, and the traders who move on it.

We launched in 2020, built by professional bettors who needed sharper tools than the market offered and won at scale using them. That same pricing now runs as infrastructure across the industry. Because it's still used to win real money, it can't drift — every model is backtested against years of closing lines and monitored continuously. What our customers run on is the pricing we stake our own edge on.

What

We Build

One pricing engine, delivered three ways:

  • Sports books and operators get fair-value pricing on player props, alternates, and ladders, correlation-aware same-game-parlay pricing, and a normalized real-time and historical feed that drops into their existing trading stack.
  • Professional bettors get Betstamp PRO, the professional odds screen — True Line pricing across 200+ books and real-time edge detection the moment a market is mispriced.
  • Prediction market traders get the raw feed by API: sub-second data on every market we cover, benchmarked against the full spread of books and exchanges.

200+ sports books and operators. 2,500+ markets. Sub-second refresh.

Why Betstamp

We're at the point where a product built for bettors has become infrastructure the industry runs on — and prediction markets have opened a category that barely existed three years ago. That's a rare window, and we're small enough that the people who join now shape what gets built rather than maintain what already exists.

The work has unusual clarity to it. Pricing is either sharp or it isn't, and our customers would know within a day if it weren't. You'll see the effect of your work quickly, and you'll be trusted with real scope early.

Careers

Learn more at

Why Betstamp?

Sports betting is booming, but most bettors still fly blind. Betstamp changes that. Since 2020, we've built the go-to platform for odds comparison, +EV betting discovery, and real-time bet tracking across 200+ sports books, DFS, casino, and sweepstakes sites. Our tools level the playing field so every bettor, rookie to pro, has an edge.

We're a product-obsessed, data-driven startup where shipping great features beats endless meetings, and where every engineer has a direct line to user impact. If you thrive on ownership and want your code to improve someone's ROI tomorrow, you'll fit right in.

The Role

We're looking for an AI-native engineer who focuses on building systems that automate engineering work and multiply developer output using AI, tooling, and large-scale data pipelines.

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

This role is not focused on traditional feature development. We're looking for engineers who enjoy building automation, systems, and internal tooling that accelerate the entire engineering team. We're looking for engineers who have experience with:

  • Building AI workflows, agents, or developer automation tools
  • Designing systems that run large numbers of automated jobs or integrations
  • Building data pipelines, scraping systems, or distributed backend infrastructure
  • Experimenting with LLM orchestration or AI development tooling

    Experience with large-scale data processing and distributed system patterns.
You've built meaningful systems yourself (side projects, automation…
Position Requirements
10+ Years work experience
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