AI Engineer

Help Us Shape the Future of Aged Care

Trilogy Care is one of Australia’s fastest-growing approved Support at Home (HCP/S@H) providers.

We’re a vibrant, purpose-driven team dedicated to helping people live independently at home for longer. Our work goes beyond requirements – it’s about creating meaningful impact for our clients, their families, and our people. We’re proud to be building a workplace where individuals feel empowered, supported, and valued. 

Role Overview

Trilogy Care helps older Australians take control of the care they receive at home through AI, automation, and modern data platforms that connect funding, services, and providers.

AI is already central to how we operate, with LLMs, intelligent document processing, agentic workflows, and real-time data pipelines driving our platform. We’re looking for an AI Engineer to join our small, high-autonomy team and work closely with our CIO to design, build, and deploy production AI solutions across cloud infrastructure, data pipelines, and LLM-powered applications. This is a hands-on role with real ownership, where you’ll solve business problems end-to-end using the right mix of AI, cloud, and software engineering. 

What You’ll Do

• Design, develop, and maintain AI-powered solutions, including LLM applications, automation tools, intelligent document processing, and agentic workflows.
• Build and support scalable cloud infrastructure, data pipelines, and integrations within AWS to enable reliable AI and business applications.
• Deliver end-to-end solutions, from requirements gathering and solution design through to development, deployment, optimisation, and ongoing support.
• Develop and integrate advanced AI capabilities, including RAG solutions, prompt engineering, model orchestration, and API-driven applications.
• Ensure all solutions align with security, privacy, governance, and compliance requirements, particularly when handling sensitive customer data.
• Collaborate closely with the CIO and cross-functional stakeholders to translate business challenges into practical, high-impact technology solutions.
• Stay current with emerging AI technologies and contribute to continuous improvement, knowledge sharing, and engineering best practices across the team.

What You’ll Bring

•  AI/LLM Engineering (3–5 years). Demonstrated experience building production AI systems – LLM applications, agentic workflows, RAG, NLP, intelligent document processing, or similar. Not just prototypes – shipped, maintained, production systems.
• Cloud Infrastructure (AWS). Hands-on experience designing and operating cloud-native infrastructure – ECS/Fargate, Lambda, S3, API Gateway, IAM, networking. At least 2 years in AWS.
• Software Engineering. Strong Python skills (TypeScript/Node.js also valued). Clean code, version control, CI/CD, testing, and production debugging. Infrastructure-as-code is second nature.
• System Design. Ability to architect scalable, secure systems – API design, event-driven patterns, data pipelines, and integration architecture. You think about failure modes, not just happy paths.
• Security Mindset. You’ve built systems handling sensitive data. Authentication, authorisation, encryption, and audit controls are part of how you think – not an afterthought.
• Autonomy & Ownership. You take ambiguous problems and deliver complete solutions without hand-holding. Self-directed, proactive, and accountable for outcomes.
• Communication. Able to explain technical work clearly to both technical and non-technical audiences. Written and verbal.

Qualifications

• No formal degree requirement – equivalent experience and demonstrated capability will be considered equally.
• AWS certifications, such as Solutions Architect, Developer, or Machine Learning Specialty, are highly regarded.
• Relevant AI/ML certifications or completion of advanced coursework are desirable.
• Demonstrated commitment to continuous learning and professional development within AI and machine learning, including publications, open-source contributions, personal projects, or similar initiatives.

Why Trilogy Care?

1. Modern King Street, Bowen Hills office with excellent facilities, close to public transport, cafes, restaurants and supermarkets
2. Vibrant team culture and regular social events
3. Opportunities for career mapping and career progression within the company
4. Salary packaging (Novated Leasing) to boost your take-home pay
5. Access to Fitness Passport to support your health and wellbeing
6. EAP support for you and your immediate family
7. Employee discounts on groceries, fuel, utility bills, wellness and more

Unlock your Potential with Trilogy Care

Behind every hour of care we deliver is a smart, tech-enabled team rethinking how aged care operates. At Trilogy Care, we’re going beyond compliance and coordination – we’re applying AI, automation and operational design to deliver better client experiences and better employee ones. Every staff member has access to generative AI tools, training, and time to experiment – not just the Tech team! Whether you’re in finance, people & culture, growth, or support, you’ll be part of an industry-first AI movement where we reward ideas that improve care outcomes, safety, efficiency or team wellbeing. 

Please note

To join our team, you’ll need to have full Australian work rights. As part of our standard recruitment process, we’ll also conduct a working rights check, police check and request professional references during onboarding.

We appreciate the interest of recruitment agencies but kindly ask that resumes not be submitted unless a prior agreement is in place. Trilogy Care will not accept responsibility for any fees related to unsolicited resumes.