Staff AI Automation Engineer (LLM Agents)

TL;DR

Staff AI Automation Engineer (LLM Agents): Building MCP connectors, tool integrations, and data pipelines that enable AI agents to execute reusable skills for SEO, content production, localisation QA, and market reporting with an accent on agent architecture, real-time market data, and evaluation against MAU/ARR outcomes. Focus on wiring internal systems and third-party platforms into a queryable layer and iterating on agent performance in a live international growth operation.

Company

Canva builds design tools and platforms that help people create and experience design worldwide.

What you will do

• Build MCP connectors and tool integrations for two-way access to analytics, SEO, search console, content tools, marketing platforms, and the internal data warehouse.
• Design and build data pipelines that surface real-time market data into a queryable layer agents can act on.
• Design, build, and evaluate agent skills (reusable blueprints) for SEO analysis, content production, localisation QA, and market reporting.
• Partner with a Country Manager to iterate on agent performance against real MAU and ARR outcomes and tighten the feedback loop between human direction and agent output.
• Replace manual processes with live tooling as the harness comes online to ship into real markets from week one.
• Document the harness, skills, and evaluation framework so the model can be deployed to additional markets.

Requirements

• 7–10+ years of experience in system engineering, system architecture, applied AI engineering, or an equivalent technical role.
• Strong computer science and engineering fundamentals with experience developing web applications.
• Hands-on experience managing cloud platform configurations, preferably AWS (Azure or GCP is a bonus).
• Experience with system integration infrastructure: APIs, webhooks, event pipelines, and ideally MCP.
• Hands-on experience building or evaluating LLM-based agents, tools, or skills (or strong engineering fundamentals and a fast path into agent architecture).
• Comfort working close to metrics by shipping into live operations and iterating based on real market data.

Culture & Benefits

• Hybrid working model with flexibility to work remotely and come together on campus in Sydney for in-person collaboration.
• Equity packages.
• Inclusive parental leave policy for all parents & carers.
• Annual Vibe & Thrive allowance to support wellbeing, social connection, and office setup.
• Flexible leave options.

Hiring process

• Interviews are conducted virtually.
• Some interviews may include interactive, real-time challenges and/or solving a problem using an AI tool to demonstrate approach.
• Recruitment partner shares what to expect during the process.