AI Systems Engineer

Platform Engineering is home to the world's largest community of platform engineers, connecting thousands of professionals and helping shape the future of internal developer platforms. They are seeking an AI Systems Engineer to own and evolve the systems and data infrastructure that power their operations, focusing on CRM pipelines, integrations, and content production automation.

Responsibilities:

• Own and evolve our data infrastructure: Supabase, n8n workflows, HubSpot integrations, and the pipelines connecting external platforms like Skilljar and HockeyStack
• Take technical ownership of our content factory: tooling, automation pipelines, and agent orchestration that let a small team produce at scale
• Think through the user journey and create UI integrations into existing solutions (e.g., Airtable) or buy or build and maintain simple UI interfaces for databases, etc. (search, export data, import to other workflows)
• Keep our stack modular and replaceable, evaluating tools continuously and making changes before we become dependent on the wrong ones
• Reduce manual overhead systematically by building automations and agent workflows that replace repetitive processes
• Work with leadership as a peer on architectural decisions and infrastructure direction, not just as an implementer