AI Content Systems Engineer

Posted Yesterday
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5 Locations
In-Office or Remote
Senior level
Edtech
The Role
Own the technical infrastructure for an AI-assisted content and design operation. Responsibilities include selecting tools, building automation pipelines, orchestrating agents, designing multistep content workflows, integrating UIs with databases and external tools, maintaining modular systems, reducing manual work, and shaping architecture and roadmap decisions with leadership. The role requires production coding, API integrations, database and vector-search design, RAG implementation, workflow automation, and strong content judgment.
Summary Generated by Built In
About Platform Engineering

Platform Engineering (platformengineering.org) is home to the world's largest community of platform engineers. Through events like PlatformCon, which brings together over 35,000+ participants every year, we connect thousands of professionals, share best practices, and help shape the future of how teams build and scale internal developer platforms.

We're looking for a Senior AI Automation & Systems Engineer to own the technical infrastructure behind our content and design operation, from planning and research, through AI-assisted production and quality control, to publishing and distribution.

This position is fully remote and is open to applicants based in Europe.

What You Will Do
  • Take technical ownership of our content and design factory: tooling selection, automation pipelines, quality management, and agent orchestration that let a small team produce at scale.

  • Design and development (structuring, prompting, QA) of complex multistep content and design creation workflows and interfaces as skills in model harnesses and external content workflow tools (e.g., AirOps, n8n).

  • Think through the user journey and create UI integrations into existing solutions (e.g., Supabase databases) or vibe-code and maintain UI and interfaces for workflows, 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.

What We're Looking For
  • Strong technical background: database schemas, REST/GraphQL API integrations, RAG/vector databases design/implementation, and automation pipelines, end-to-end and without hand-holding.

  • Fluency with AI as a development tool. You use Claude Code, Cursor, or similar and actively think about where agents can replace manual work.

  • Understanding of professional content creation (i.e., structure, tonality, narrative and ability to differentiate between great and ok content pieces).

  • Commercial mindset and strong prioritization: you know which systems move the needle and focus there.

  • Own a roadmap and hold architecture conversations with leadership.

  • Strong software engineering fundamentals; you don't need to be a traditional full-stack engineer, but you should be comfortable writing, reviewing and maintaining production code.

Why You'll Love Working With Us
  • Your work will directly enable a community of 35,000+ platform engineers worldwide.

  • Real ownership of core infrastructure, with the autonomy to shape it.

  • Fully remote across Europe, strong async culture, low-ego team.

  • Competitive salary and room to grow as our ambitions scale.

If this sounds like a fit, we would love to hear from you!

Have questions before applying? Reach out to us at [email protected]

Skills Required

  • Strong technical background in database schemas
  • Experience with REST and GraphQL API integrations
  • Experience designing and implementing RAG and vector databases
  • Experience building end-to-end automation pipelines
  • Fluency using AI development tools such as Claude Code or Cursor
  • Understanding of professional content creation, including structure, tonality, narrative, and content quality
  • Commercial mindset and strong prioritization skills
  • Ability to own a roadmap and participate in architecture discussions
  • Strong software engineering fundamentals and ability to write, review, and maintain production code
Am I A Good Fit?
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The Company
37 Employees

What We Do

Platform Engineering is a global community and educational hub for platform engineers. It provides resources, free courses, and trainer-led certification journeys to help practitioners advance their careers. The organization serves as a central home for platform engineers to learn from leading DevOps and cloud-native experts and connect with fellow practitioners through its global community and active Slack network.

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