AI Forward Engineer

Fastloop; Vancouver; On-site; CAD 150,000 - 190,000; Full time

Job summary

Fastloop is seeking a senior AI-forward engineer who can operate across a broad technical surface and turn work into reusable capability that compounds over time. You will own internal systems that power the business, directing agents and tools to deliver production-grade solutions.

You will ship reliable software while maintaining accountability for architecture, security, and production behavior. As part of a small team, you will push automation, integration, and infrastructure-as-code,

Responsibilities

• Taste and judgment: distinguish good work from plausible slop and decide what ships.
• Build with agents: pair with coding agents on production software and review more than you type.
• Integration and automation: architect connections between systems and automate manual steps; APIs and agent tooling are part of daily surface.
• Business systems, not just features: own internal systems that connect platforms and automate workflows across the business.
• DevOps and infrastructure as code: stand up and maintain pipelines and deployment patterns.

Job description

This role blends the high-leverage AI-native builder, the broad-spectrum technologist who can cover wide ground through AI, and the ownership and "ship-it" instincts of a senior engineer who takes systems all the way into production.

The role in one sentence

You are a senior, AI-forward engineer who can operate across a broad technical surface, build internal systems companies run on, and turn each piece of work into reusable capability that compounds over time.

Why this role exists

We’re building a small team of senior engineers who can deliver what a much larger team traditionally would, by using AI across the full surface of the work instead of staffing a specialist for every task.

These aren’t executors waiting on tickets.

They’re builders who can take an ambiguous internal problem, understand what actually needs to be solved, design the right system, direct agents and tools to help build it, and stay with it until it works reliably in production.

They also treat every piece of work as an opportunity to make the next piece faster, safer, and better.

What you’ll own

• Taste and judgment. Producing plausible implementation is getting cheaper. Knowing what is actually correct, secure, maintainable, and fit for the situation is not. You can tell genuinely good work from plausible slop, and your judgment on what ships is the bar.
• Build with agents. You pair with coding agents on production software and increasingly review far more than you type. You are comfortable delegating implementation aggressively while remaining fully accountable for the architecture, quality, security, and production behaviour of what ships.
• Integration and automation. You architect and build the connections between systems and remove manual steps where automation creates real leverage. APIs, agent tooling, and protocols like MCP are part of the everyday technical surface.
• Business systems, not just features. You build the internal systems Fastloop runs on: connecting platforms, automating workflows, and creating AI-enabled capabilities used across the business. You own them end to end and stay with them until they work reliably in production.
• DevOps and infrastructure as code. You stand up and maintain the pipelines, environments, deployment patterns