Software Engineer – LLM / Cloud

The Opportunity

The School of Computer Science and Engineering is seeking a Software Engineer for a key role supporting a high-impact project. In this position, you will be responsible for coordinating and implementing project ideas to develop and demonstrate tangible outcomes to stakeholders. The role involves developing working prototypes, communicating practical results, providing analytical and reporting support, and assisting with administrative tasks related to key project deliverables. You will engage in software development using deep learning, natural language processing, and large language models (LLMs). This position is embedded within a commercialization initiative focused on delivering a proof-of-concept software solution.

This role reports to Prof Flora Salim and has no direct reports.

• Salary, Level 7.1: $113,926 per annum + 17% superannuation
• Full time or Part time – 1.0 FTE or 0.5 FTE
• Fixed term – 4 months with ASAP start
• Location: Kensington – Sydney, Australia

About UNSW

UNSW isn’t like other places you’ve worked. Yes, we’re a large organisation with a diverse and talented community; a community doing extraordinary things. But what makes us different isn’t only what we do, it’s how we do it. Together, we are driven to be thoughtful, practical, and purposeful in all we do. If you want a career where you can thrive, be challenged and do meaningful work, you’re in the right place.

The School of Computer Science and Engineering is one of the largest and most prestigious schools of computing in Australia. It offers undergraduate programmes in Software Engineering, Computer Engineering, Computer Science, and Bioinformatics, as well as a number of combined degrees with other disciplines. Our research and teaching staff are world leading and world building as they advance knowledge and learning. For more information on our school go to the following link - https://www.unsw.edu.au/engineering/our-schools/computer-science-and-engineering

Skills and Experience

• An undergraduate degree in computing, coupled with 2+ years of software development experience.
• Good fundamentals in Transformer-based natural language processing demonstrated through academic courses or projects.
• Experience with deep learning methods and sequence-to-sequence models, such as Transfomers
• Experience coding in Python, including deep learning libraries such as Transformers, Pytorch; statistical analysis, and time-series analysis packages.
• Experience using AWS Services for Software Deployment, and GitHub/GitLab for Version Control.
• Experience with LLM integration frameworks such as LlamaIndex and LangChain.
• Experience with web application-based deployment using libraries such as streamlit.
• Familiarity with spatiotemporal data handling, temporal embeddings, and chunking techniques for multi-horizon forecasting tasks, particularly with real datasets from realworld scenarios.
• Stakeholder management skills, with the ability to liaise effectively with a range of stakeholders.
• Excellent written and verbal communication skills, with a high level of attention to detail for deliverables produced.
• Excellent time management skills, with a demonstrated ability to respond to changing priorities, manage multiple tasks and meet competing deadlines by using judgement and initiative.
• Demonstrated ability to work collaboratively and productively within a team, but also to take initiative and work independently while managing competing demands.
• An understanding of and commitment to UNSW’s aims, objectives and values in action, together with relevant policies and guidelines.
• Knowledge of health & safety (psychosocial and physical) responsibilities and commitment to attending relevant health and safety training.

Additional details about the specific responsibilities for this position can be found in the position description. This is available via JOBS@UNSW.

To Apply:

Please click the apply now button and submit your CV, Cover Letter and Responses to the Skills and Experience. You should systematically address the Skills and Experience listed within the position description in your application.

Applicants must have full working rights in Australia and be able to be on site in Kensington on a regular basis. Visa sponsorship is not available for this appointment.

Please note applications will not be accepted if sent to the contact listed below.

Contact:

Eugene Aves – Talent Acquisition Consultant

E: eugene.aves@unsw.edu.au

Applications close: 11:55 pm (Sydney time) on Sunday 31st August 2025

UNSW is committed to evolving a culture that embraces equity and supports a diverse and inclusive community where everyone can participate fairly, in a safe and respectful environment. We welcome candidates from all backgrounds and encourage applications from people of diverse gender, sexual orientation, cultural and linguistic backgrounds, Aboriginal and Torres Strait Islander background, people with disability and those with caring and family responsibilities. UNSW provides workplace adjustments for people with disability, and access to flexible work options for eligible staff. The University reserves the right not to proceed with any appointment.