Graduate 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.