AI Engineer in Sydney

When the rest of the world is headed left, Ethan goes right.

We're more than an IT, telco, and cloud provider, we're disruptors and game-changers—we're the kids in the class always doodling, creating, and innovating.

Can you relate?

This is more than an AI/ML Engineer role.

We're looking for someone who'll embrace our ethos and help shape the future of our industry.

You won't just build prototypes – you'll ship models, agents and AI applications to production, running on open models and sovereign infrastructure both our customers and our internal operations.

You'll also live and breathe our 10 commandments* (see More Than an Appendix below).

• MORE THAN A ROLE
• Our role descriptions aren't the norm. Your key responsibilities in the role are:
• Model building and right-sizing
• Select, test and fine-tune open-weight and commercial models (Lo RA, QLo RA, distillation, quantisation).
• Prepare training data with Data Engineers and right-size models for accuracy, latency and cost.
• Agents and AI applications
• Build RAG pipelines and single/multi-agent workflows with tool use and MCP.
• Implement guardrails and integrate with client systems, data and identity.
• Evaluation and quality
• Automate accuracy, groundedness, safety and bias testing on every change.
• Report honestly against agreed success criteria.
• Production readiness and operations
• Deploy models and apps with Docker, Kubernetes, v LLM/Triton and CI/CD.
• Meet observability and run-readiness standards, then hand over and support early-life issues.
• AI observability and Dev Ops
• Instrument models, RAG and agents with Open Telemetry, feeding Ethan-A observability and Service Now.
• Monitor quality, drift, SLOs, cost and capacity, with full agent audit trails.
• Release safely (Terraform, Helm, Git Ops, canary) and support SRE on AI incidents.
• Proofs of concept and internal use cases
• Rapidly build POCs with the Principal AI Architect and AI tools for Ethan Global service delivery.
• Contribute reusable accelerators and templates.
• Follow coding, testing and security standards, keeping client data in sovereign environments.
• Work as one team with vendor-panel engineers.
• THE ABSOLUTES-MUSTS
• Degree in computer science, engineering, mathematics or a related field, or equivalent experience.
• Previous experience in software or Machine Learning engineering, including working knowledge of deep learning or LLMs.
• Experience deploying at least one model or AI application into production.
• Hands-on model fine-tuning and evaluation experience.
• Experience building RAG or agent solutions integrated with enterprise systems.
• Experience working in agile teams using code reviews and CI/CD.
• Experience instrumenting and supporting production services, including monitoring, alerting and incident response.
• CERTS AND SKILLS
• Don't walk in empty-handed. We want to see any of these (not essential):
• Strong Python and Py Torch; writes clean, tested code
• Hyperscaler machine learning or AI engineer certification or
• NVIDIA-Certified Professional: Generative AI LLMs (NCP-GENL).

Did we mention we're looking for diversity?

• MORE THAN AN APPENDIX (IT'S A LIFESTYLE)
• Professionalism and poise: Maintaining a dignified and professional demeanour across all interactions.
• Client-centric excellence: Delivering results that prioritise our clients' needs and ensuring their end-to-end journey is nothing short of exceptional.
• Elevating the company's success (not just your own): Understanding that we all win together.
• Extraordinary dedication: An eagerness to go beyond industry standards and expectations.
• Innovative mindset: A natural inclination to think creatively and a desire to collaborate with others who share this same perspective.
• Adaptive agility: Being versatile and responsive to the ever-changing technology landscape.
• A commitment to crafting new realities: Cultivating opportunities and creating positive experiences between colleagues, clients, and everyone you encounter.
• Continuous learning: An insatiable appetite for knowledge and skill enhancement, ensuring you're always at the forefront of your field.
• Empathetic engagement: Building strong, genuine connections with clients and team members by putting in the time to understand their perspectives and needs.
• Sustainability awareness: A consciousness about the impact of our actions on the environment and society, aiming for sustainable business practices.