Casual - Software Engineer (AI Systems)

Lab Next 70

• Casual, with the possibility of fixed term
• Casual Level 8 ($72.52/hr) to Casual Level 10 ($90.16/hr)
• Plus 11.5% employer superannuation
• Available for remote, flexible, work from home or hybrid
• Applicants must have appropriate Australian work rights for the duration of this position (UNE will not provide sponsorship for this position)

Acknowledgement of Country

The University of New England (UNE) is a regionally based, globally networked university renowned for the quality of its student experience and the excellence of its research specialisations. In addition, UNE pioneered teaching to external students making it the most experienced provider of distance and innovative online education.

UNE emphasises its people, staff and students' growth and development. We aspire to be a leader in innovation and change and a centre for the Armidale and the North-West communities.

Equity, diversity and inclusion are central to the core values of UNE and we are committed to engaging, supporting and growing a richly diverse workforce. From the Oorala Aboriginal Centre at the heart of our campus, to the inclusive organisations such as the UNE Ally Network, the UNE Women’s Society, and the many international cultural groups - all will feel valued and respected at UNE. You will embody the UNE values and strive to be Open, Enquiring, Exceptional and Making a Difference. Additionally, you will be committed to achieving the goals embedded in the Future Fit Strategic Plan 2021-2030.

About the role

We are seeking talented Software Engineers with AI expertise to join our casual talent pool at Lab N70. In this role, you will design, develop, and implement artificial intelligence systems that solve complex problems and enhance university operations.

As a Software Engineer (AI Systems), you will be at the forefront of Lab N70's AI initiatives, developing scalable and efficient backend systems to support large language models, implementing machine learning models, and collaborating with cross-functional teams to integrate AI technologies into existing systems. This role requires strong technical skills, creative problem-solving abilities, and a passion for advancing AI applications in educational contexts.

Working on a project basis, you will contribute to Lab N70's mission across our three core pillars: enhancing educational experiences through AI-driven methodologies, improving operational efficiency, and pioneering cutting-edge AI educational experiences for the future of teaching and learning.

About you

To be successful in this role, you will have:

• Strong programming skills with experience in languages commonly used for AI development (e.g., Python)
• Experience working with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch)
• Knowledge of large language models and their applications
• Ability to design and implement scalable backend systems
• Proficiency in English speaking with the ability to articulate complex concepts clearly
• Strong analytical and problem-solving skills
• Excellent attention to detail and commitment to code quality
• Effective communication skills with the ability to explain complex technical concepts
• Experience collaborating in cross-functional teams
• Understanding of ethical considerations in AI development
• Ability to work independently and manage time effectively in a casual role

About the Faculty/Group

Lab N70 is committed to advancing AI innovation and its applications within the university setting. Our team combines expertise in artificial intelligence, software development, and digital transformation to create innovative solutions that support UNE's strategic goals. We focus on three core pillars: Teaching and Learning Innovation, Operational Efficiency and Professional Development, and Blue-sky Innovation for Future Pedagogies.

Our dynamic team works at the cutting edge of AI technology, experimenting with and implementing solutions that enhance the university experience for students, faculty, and staff. We currently have exciting opportunities for experienced Software Engineers with AI expertise to join our casual talent pool and contribute to projects that are shaping the future of education and research at UNE.

About Armidale

Armidale is an attractive and vibrant city that combines all the features of a bustling regional town centre with the tranquility of rural living. It boasts gourmet restaurants and cafes, boutique shopping, quality schools and sporting facilities. Surrounded by mountain gorges, waterfalls and national parks, Armidale’s natural beauty and distinct seasons make it an ideal place to live and thrive. To find out more, visit https://www.visitarmidale.com.au/experience

Enquiries and additional information

To discuss this role please contact Connor Ventura, Technical Lead, email: [email protected].

Closing Date: Midnight, Sunday 25 May 2025

Reference No: 225060

Please visit www.une.edu.au/jobs-at-une for further information about this position and other career opportunities at UNE.

To Apply

Please submit the following documents by clicking the Apply Now button below:

Option 1:

• Current CV, inclusive of a link to your GitHub profile or portfolio of AI projects previously worked on

Commitment to Inclusion and Diversity

UNE is committed to building a diverse workforce and strongly encourage applications from Aboriginal and/or Torres Strait Islander Australians, people with disability, people from diverse cultural and linguistic backgrounds, mature age workers and LGBTQIA+ people

About Our Process

At UNE, we are committed to employing individuals who meet the requirements of this role and align with our values. All applicants will be contacted and advised of an outcome. The successful candidate will be required to undertake pre-employment checks prior to commencing in this role as indicated in the position statement. Please visit our Privacy Statement to understand how your information is collected, stored, accessed and used.

National Police Check

If you are the successful candidate for this role you will be required to provide UNE with a National Police Check prior to your commencement. Please note that people with criminal records are NOT automatically barred from applying for this position (unless there is a particular requirement under law).