Artificial Intelligence Engineer

Logical; Melbourne; Hybrid; AUD 150,000 - 230,000; Full time

Job summary

Logical in Melbourne is seeking a Senior AI Engineer to take ideas from concept to production, delivering real business impact. You will lead workstreams, collaborating with data engineers, software engineers and product teams to scale GenAI solutions.

You will prototype GenAI concepts, tune models in production, and design reliable AI systems with strong governance and documentation. Expect impactful, enterprise-scale projects in a hybrid onsite setup.

Qualifications

• 6+ years in AI/ML engineering with production-ready work.
• Experience leading a workstream and guiding staff.
• Hands-on with Python and software engineering.
• Experience with LLMs, RAG, embeddings, agents and GenAI patterns.
• Data preparation and feature engineering; understanding MLOps/LLMOps.
• Understanding of AI in enterprise systems and architecture.
• Experience with SAS, Teradata, CML or OpenShift.

Responsibilities

• Understanding business problems and designing AI solutions.
• Building GenAI and LLM solutions using prompt engineering, RAG and agents.
• Prototype new ideas quickly to test viability.
• Prepare data and connect AI to existing systems.
• Ship production-quality code with version control, testing, CI/CD and deployment.
• Test for accuracy, bias, hallucination and safety; monitor drift and cost.
• Contribute to responsible AI through security, governance and documentation.

Skills

Leadership in AI projects

Python

Software engineering

LLMs/GenAI

Data preparation/feature engineering

MLOps/LLMOps

Enterprise systems/architecture

Tools

SAS

Teradata

Cloudera Machine Learning (CML)

Red Hat OpenShift

Job description

Adelaide/Brisbane/Melbourne/Sydney (Initial 6 weeks onsite to a hybrid role)

Lots of AI projects stall at the proof-of-concept stage. We are looking for a Senior AI Engineer who can and have taken projects all the way to production.

In this role, you'll take AI from first idea to a solution in production that makes a real difference to the business. You'll work alongside experienced AI professionals, providing technical leadership and expert advice. Some days you'll be prototyping a new GenAI idea. On others you'll tuning a model in production or working out why an agent took an unexpected turn.

What your days might look like

• Understanding business problems, then working out the right AI solutions
• Building GenAI and LLM solutions using prompt engineering, RAG and custom AI agents. You'll design how they think, remember, retry and know when to hand over to a human
• Quickly prototyping new ideas to test what's worth pursuing
• Handling and preparing data; connecting AI to the systems people already use
• Shipping production-quality code using version control, testing, CI/CD and automated deployment
• Testing for accuracy, bias, hallucination and safety, because how we build AI matters
• Keeping an eye on performance, drift, cost and impact, and always looking for ways to improve
• Helping shape responsible AI through security, privacy, governance and clear documentation

What you'll bring

• Around 6+ years in AI/ML engineering, with work you're proud of
• Experience leading a workstream, guiding staff, providing advice and guidance
• Strong Python and software engineering skills
• Hands-on experience with LLMs, RAG, embeddings, agents and GenAI patterns
• Experience with data preparation and feature engineering, and an understanding of MLOps/LLMOps
• An understanding of how AI fits into enterprise systems and architecture
• Experience with SAS, Teradata, Cloudera Machine Learning (CML) or Red Hat OpenShift