Job Description
/n Help Us Shape the Future of Aged Care /n Trilogy Care is one of Australia’s fastest-growing approved Support at Home (HCP/S@H) providers. /n 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. /n /n Role Overview /n 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. /n /n 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 Senior leaders to design, build, and deploy production AI solutions across cloud infrastructure, data pipelines, and LLM-powered applications. /n /n 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. /n /n What You’ll Do /n /n
- Design, develop, and maintain AI-powered solutions, including LLM applications, automation tools, intelligent document processing, and agentic workflows. /n
- Build and support scalable cloud infrastructure, data pipelines, and integrations within AWS to enable reliable AI and business applications. /n
- Deliver end-to-end solutions, from requirements gathering and solution design through to development, deployment, optimisation, and ongoing support. /n
- Develop and integrate advanced AI capabilities, including RAG solutions, prompt engineering,



model orchestration, and API-driven applications. /n
- Ensure all solutions align with security, privacy, governance, and compliance requirements, particularly when handling sensitive customer data. /n
- Collaborate closely with our Senior leaders and cross-functional stakeholders to translate business challenges into practical, high-impact technology solutions. /n
- Stay current with emerging AI technologies and contribute to continuous improvement, knowledge sharing, and engineering best practices across the team. /n /n What You’ll Bring /n /n
- 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. /n
- 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. /n
- Software Engineering. Robust Python skills (TypeScript/Node.js also valued). Clean code, version control, CI/CD, testing, and production debugging. Infrastructure-as-code is second nature. /n
- 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. /n
- Security Mindset.



You’ve built systems handling sensitive data. Authentication, authorisation, encryption, and audit controls are part of how you think – not an afterthought. /n
- Autonomy & Ownership. You take ambiguous problems and deliver complete solutions without hand-holding. Self-directed, proactive, and accountable for outcomes. /n
- Communication. Able to explain technical work clearly to both technical and non-technical audiences. Written and verbal. /n /n Qualifications /n /n
- No formal degree requirement – equivalent experience and demonstrated capability will be considered equally. /n
- AWS certifications, such as Solutions Architect, Developer, or Machine Learning Specialty, are highly regarded. /n
- Relevant AI/ML certifications or completion of advanced coursework are desirable. /n
- Demonstrated commitment to continuous learning and professional development within AI and machine learning, including publications, open-source contributions, personal projects, or similar initiatives. /n /n /n Why Trilogy Care? /n /n 1. Modern King Street, Bowen Hills office with excellent facilities, close to public transport, cafes, restaurants and supermarkets /n 2. Vibrant team culture and regular social events /n 3. Opportunities for career mapping and career progression within the company /n 4. Salary packaging (Novated Leasing) to boost your take-home pay /n 5. Access to Fitness Passport to support your health and wellbeing /n 6. EAP support for you and your immediate family /n 7. Employee discounts on groceries, fuel, utility bills, wellness and more /n /n Unlock your Potential with Trilogy Care /n Behind every hour of care we deliver is a smart, tech-enabled team rethinking how aged care operates. At Trilogy

📌 AI Engineer (Brisbane)
🏢 Trilogy Care Pty
📍 Brisbane