Magentus products and services have been at the forefront of delivering health technology for more than 30 years, offering deep expertise across clinical systems, health informatics and practice management. Across pathology, radiology, oncology, maternity and practice management, we are connecting the health ecosystem and transforming digital healthcare at scale. Driven by our dedicated teams across the globe, our success reflects our passionate commitment to improving healthcare outcomes.

How you’ll have impact

Be part of shaping the future of healthcare with AI.

We’re at the beginning of an exciting transformation and you could help lead the way. We’re building new product experiences powered by AI to address real problems faced by healthcare professionals—and we believe these experiences will not only enhance our core offerings but unlock new opportunities.

We’re hiring an AI Engineer to be responsible for designing, developing, and deploying machine learning and AI solutions across our healthcare product portfolio to help deliver against our AI and business strategy. This is a greenfield opportunity for someone who thrives in ambiguity, is energised by building from scratch, and wants to drive meaningful change in the healthcare sector—an industry that is only just beginning to explore the possibilities of AI at scale.

Why this role is different

While many talk about AI, few in healthcare are building real, in-market AI products. This role puts you at the forefront of innovation—working hands-on with design, product, data and clinicians to bring AI concepts to life. You’ll play an integral role in the launch of new standalone AI-powered experiences and help to shape a scalable capability across the Magentus group.

This is a unique opportunity to:

Apply Generative AI to solve core challenges in healthcare, especially in the areas of intelligent data transformation and the automation of complex business processes.

Implement scalable AI systems that align with Magentus’ strategic goals

Contribute to product development lifecycle, ensure high-quality delivery of AI solutions, and be a SME about emerging technologies in the AI space.

What you’ll do

Develop AI-Powered Solutions: Design, build, and implement end-to-end solutions using Generative AI to address key business challenges, with a focus on intelligent data transformation and business process automation.

Engineer Data-Centric Workflows: Architect and maintain scalable, robust workflows that ingest, process, and enrich complex data by applying AI and machine learning models.

Oversee Application Lifecycle & Deployment: Own the full lifecycle of AI applications, from prototyping and development to deployment, scaling, and production management in a multi-cloud environment (AWS and GCP).

Ensure Solution Quality and Reliability: Establish and govern frameworks for validating the output of AI systems, defining and tracking metrics to ensure high standards of accuracy, reliability, and safety are consistently met.

Drive AI Best Practices: Implement and manage MLOps/LLMOps principles to ensure version control, reproducibility, and continuous monitoring of deployed applications.

Support knowledge-sharing and mentorship efforts within the team and across departments.

What we’re looking for

Minimum of 2-3 years of experience in a software or data engineering role, with at least 1-2 years of focused, hands-on experience building with LLMs or Generative AI.

Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or related field.

Proficiency in Python and relevant libraries (e.g., Pandas, Pydantic) for data manipulation and processing.

Experience with major cloud provider's AI/ML offerings (AWS Sagemaker, Google Cloud AI Platform).

Solid understanding of algorithms, data structures, and software engineering fundamentals.

Experience working in a collaborative software development environment using Git and agile methodologies.

What you’ll bring

Strong problem-solving skills with a passion for tackling complex technical challenges

Excellent communication skills—able to bring people on the journey and confidently engage technical, commercial, and clinical stakeholders.

Self-motivated and able to work independently, as well as collaboratively in a team environment

Adaptable and open to learning new technologies and methodologies

A proactive approach to identifying opportunities for improvement and innovation

Proven ability to mentor and motivate teams

A proactive 'builder's mindset' and a genuine passion for technology, often demonstrated through personal projects, open-source contributions, or self-directed experimentation.

What we offer

A chance to lead a flagship strategic initiative with executive visibility and long-term impact.

The opportunity to shape new-to-market AI experiences in the healthcare space—one of the most meaningful, complex, and impactful industries.

A supportive product-led culture where discovery, user value, and cross-functional collaboration are at the core of how we build.

The ability to influence product, platform, and business strategy across the Magentus group.

This is not just another technology role.

This is your chance to help redefine how AI is used in healthcare—improving outcomes, reducing clinician burden, and unlocking new value at scale. If you’re excited by the intersection of innovation, data, and healthcare, we’d love to hear from you.

Our values say a lot about us:

People are at the heart of everything we do at Magentus—we work as one team to create a healthier society.

One Team / Make a difference / We Care / Constant Evolution / Trust

Magentus Group Pty Ltd

Company Overview