AI Knowledge Engineer

About Turium AI:

Turium AI is an enterprise artificial intelligence company helping organisations transform complex data and workflows into intelligent automation and insight.

We're building technology that bridges human and machine understanding — and we need curious minds who can help document, test, configure, and communicate how our AI systems work.

This isn't a standard "documentation" job. It's a hybrid technical and communication role for people who love exploring systems, understanding how they work, and helping others make sense of them.

About the Role:

As a Graduate AI Knowledge Engineer, you'll be part of the product and engineering team — contributing to projects through a mix of technical documentation, project coordination, communication, testing, and configuration support.

You'll help shape how Turium's AI products are delivered, used, and understood by both internal teams and enterprise clients.

This is a role for someone who loves clarity, systems, and collaboration — someone equally comfortable reading code, configuring software, writing explanations, and testing how everything fits together.

Key Responsibilities:

Documentation & Knowledge Design

• Develop, structure, and maintain documentation for AI and enterprise systems — including user guides, release notes, API documentation, and internal wikis.
• Translate complex technical concepts into clear, accurate, and engaging content for both technical and non-technical audiences.
• Contribute to information architecture, terminology consistency, and knowledge management standards.

Project Support

• Work alongside engineers, product managers, and clients to support delivery of AI projects.
• Assist in gathering requirements, tracking project tasks, and ensuring clear communication between teams.
• Contribute to project documentation, meeting notes, and client deliverables.

System Configuration

• Help set up, configure, and test AI and enterprise systems for internal demos and client environments.
• Maintain environment documentation, configuration records, and deployment instructions.
• Support QA and release processes by verifying setup accuracy and feature readiness.

Testing & Quality Assurance

• Participate in product testing cycles — validating features, recording test results, and reporting issues.
• Create clear bug reports and collaborate with engineers on reproducing and resolving issues.
• Help ensure that documentation aligns with the actual behaviour of the software.

Communication & Collaboration

• Act as a communication bridge between engineering, product, and business stakeholders.
• Present complex ideas simply — through diagrams, visuals, or concise written summaries.
• Contribute to internal knowledge-sharing sessions and sprint reviews.

What We're Looking For:

Education

Recent or upcoming graduate from ANU or University of Canberra, ideally in:

• • Computing, Computer Science, Software Engineering, or Information Technology
  • AI, Data Science, or Information Systems
  • Communications or Design with a technology minor

Skills & Attributes

• Strong analytical and communication skills — you enjoy learning how things work.
• Basic programming or scripting knowledge (Python, JavaScript, or similar).
• Familiarity with documentation tools (Markdown, Git, Notion, Confluence).
• Understanding of software or AI system configuration concepts.
• Excellent attention to detail and organisation.
• Curiosity, problem-solving mindset, and willingness to work across disciplines.

Bonus Points For

• Exposure to testing, QA, or software deployment.
• Experience writing reports, guides, or technical documentation.
• Interest in AI, automation, or enterprise technology.

Why Join Turium AI:

• Be part of a pioneering enterprise AI company shaping the future of intelligent systems.
• Work directly with engineers, data scientists, and product designers on real-world projects.
• Gain experience across multiple areas — from documentation to configuration and testing.
• Mentorship and growth pathways toward Product, DevOps, or Technical Communication specialisations.
• Flexible hybrid work culture with a focus on learning and innovation.