Job Description

Help Us Shape the Future of Aged Care

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Trilogy Care is one of Australia's fastest-growing approved Support at Home providers.

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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.

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Role Overview

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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.

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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.

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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.

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What You'll Do

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- Design, develop, and maintain AI-powered solutions, including LLM applications, automation tools, intelligent document processing, and agentic workflows.
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- Build and support scalable cloud infrastructure, data pipelines, and integrations within AWS to enable reliable AI and business applications.
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- Deliver end-to-end solutions, from requirements gathering and solution design through to development, deployment, optimisation, and ongoing support.
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- Develop and integrate advanced AI capabilities, including RAG solutions, prompt engineering, model orchestration, and API-driven applications.
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- Ensure all solutions align with security, privacy, governance, and compliance requirements, particularly when handling sensitive customer data.
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- Collaborate closely with our Senior leaders and cross-functional stakeholders to translate business challenges into practical,



high-impact technology solutions.
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- Stay current with emerging AI technologies and contribute to continuous improvement, knowledge sharing, and engineering best practices across the team.
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What You'll Bring

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- 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.
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- 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.
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- 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.
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- 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.
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- Security Mindset. You've built systems handling sensitive data. Authentication, authorisation, encryption, and audit controls are part of how you think - not an afterthought.
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- Autonomy & Ownership. You take ambiguous problems and deliver complete solutions without hand-holding. Self-directed, proactive, and accountable for outcomes.
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- Communication. Able to explain technical work clearly to both technical and non-technical audiences. Written and verbal.
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Qualifications

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- No formal degree requirement - equivalent experience and demonstrated capability will be considered equally.
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- AWS certifications, such as Solutions Architect, Developer,



or Machine Learning Specialty, are highly regarded.
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- Relevant AI/ML certifications or completion of advanced coursework are desirable.
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- Demonstrated commitment to continuous learning and professional development within AI and machine learning, including publications, open-source contributions, personal projects, or similar initiatives.
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Why Trilogy Care?

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

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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.

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Please note

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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.

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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.

📌 AI Engineer (Petrie Terrace)
🏢 Trilogy Care Pty
📍 Petrie Terrace