Ai Agent Engineer - Internal Dev Tools & Automation

Binance; Brisbane; On-site; AUD 120,000 - 180,000; Full time

Benefits offered by this job

Office near public transport

Vibrant team culture

Regular social events

Job summary

Trilogy Care, based in Bowen Hills, Brisbane, is seeking an AI Engineer to join a small, high-autonomy team building AI-driven care solutions at home for older Australians.

You'll design, deploy and optimize LLM-based applications, cloud data pipelines on AWS, and ensure governance and security while collaborating with senior leaders to translate business needs into practical tech solutions. This hands-on role offers ownership and impact.

Qualifications

• Production AI systems experience with LLMs, RAG, NLP, or similar.
• AWS cloud deployment experience for AI/ML solutions.
• Strong Python and software engineering practices.
• Ability to design secure, scalable architectures.
• Demonstrated ownership and proactive problem-solving.

Responsibilities

• Design, develop, and maintain AI-powered solutions including LLM apps and NLP tools.
• Build scalable cloud infrastructure and data pipelines on AWS.
• Deliver end-to-end solutions from requirements to deployment and support.
• Develop advanced AI capabilities, model orchestration, and API-driven apps.
• Ensure security, privacy, governance, and compliance.
• Collaborate with senior leaders and cross-functional teams to translate challenges into solutions.
• Stay current with emerging AI tech and promote best practices.

Skills

AI/LLM Engineering

AWS Cloud

System Design

Security Mindset

Autonomy & Ownership

Communication

Software Engineering

Python

Education

No formal degree requirement

AWS Certification (SAA/Developer/ML Specialty)

AI/ML Certifications

Continuous learning

Tools

Python

CI/CD

Infrastructure as Code

AWS (ECS/Fargate, Lambda, S3)

Job description

Trilogy Care is one of Australia’s fastest‑growing approved Support at Home (HCP/ ) 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 Senior leaders 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 our Senior leaders 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?

• Modern King Street, Bowen Hills office with excellent facilities, close to public transport, cafes, restaurants and supermarkets
• Vibrant team culture and regular social events