Artificial Intelligence Engineer

Logical; Melbourne; Hybrid; AUD 140,000 - 230,000; Full time

Job summary

Logical is seeking a Senior AI Engineer to drive AI projects from concept to production across its Melbourne/Adelaide/Brisbane/Sydney footprint. You will lead a workstream, shape GenAI solutions, and collaborate with experienced AI professionals to deploy impactful AI in production.

You will prototype ideas, tune models in production, and ensure scalable, secure, and well-documented AI systems within enterprise environments. Hybrid role after initial onsite.

Qualifications

• 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 ML (CML) or Red Hat OpenShift.

Responsibilities

• Understand business problems and design AI solutions.
• Build GenAI and LLM solutions using prompt engineering, RAG, and agents.
• Prototype new ideas quickly to test viability.
• Prepare and connect data to enterprise systems.
• Ship production-quality code with version control, tests, CI/CD.
• Ensure AI safety, bias checks and monitoring for performance and cost.
• Contribute to governance and documentation for responsible AI.

Skills

AI/ML engineering

Python

Lead workstream

LLMs/GenAI

Data preparation & feature engineering

MLOps/LLMOps

Enterprise 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