Presented by: Web Directions
Date: 3–4 June 2026 — Melbourne and online

AI Engineer Melbourne 2026

the AI engineering conference

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Presentations

12TB of AI coding agent logs – what works, what fails

19Cabs: 1115 drivers, 500 customers, 90 days from idea — and why we still had to stop and rethink AI

Agent Observability: Monitoring and Understanding Agents at Internet Scale

Agentic SAST: Building an AI Pipeline for Rule Synthesis and Root-Cause Vulnerability Analysis

Agentic Self-Healing in Production

AGENTS.md is the wrong conversation

AI Agents Are Distributed Systems

AI Hamsters: Circling Your Way to Success

Are Your AI Agents Secure? Defending the Privileged Agent

Beat Burnout, Find Flourishing: The AI Edition

Beyond Forgetful Bots: Architectural Patterns for Persistent, Proactive Claw-Style AI Agents

Beyond Silicon Valley: Building AI Governance on the Fair Go Principle

Building Frameworks Building Systems

Building SDKs in the Agentic Era

COBOL and AI: Building a Self-Serve Knowledge Layer for 2,000 Batch Jobs

Code Trust and Verification for the AI Era

Constitutional Prompting: Making AI Coding Agents Reliable Without the Iteration Tax

Democratizing Frontier LLMs: Cloud-cluster Scale Intelligence Running on Any Desktop PC

Deploying AI at the Edge: Model Compression and Hardware-Aware Optimization

Designing Inference-Native Systems

Don’t Be Cheap: AI and the Appearance of Engineering

Edge AI with Direct Device Control

Enabling Safe AI Experimentation for Non-Technical Founders

Engineering for the Agentic Web When 50% of Your Traffic is Robots

Engineering without reading code

Evaluation Precedes Evolution: Rubrics as the Load-Bearing Infrastructure of Self-Improving Agents

Everyone Wants AI Capacity Now. Few Are Actually Running It.

Fail fast, fix faster: Why faster AI models beat smarter ones

Flue: The Agent Harness Framework

From AI Survey to Production: What the Readiness Gap Actually Looks Like

From Zero to Production: How 15 Engineers Shipped a Production LLM Product with AI Coding Tools

Fully Automated Luxury Gay Space Engineering

Hacking the Model: AI Red Teaming in Practice

Having your cake and eating it: An implementation guide for privacy with AI

How Canva built an Agentic Support Experience using Langfuse Observability

How Many Agents Are Too Many? The Hidden Cost of Multi-Agent Systems

How to Get Fired as an AI Engineer

Legacy Software + Agentic Discovery

Multi-Armed Bandits: The Scientific Shotgun for Evals

Multi-Model Collaboration with Claude Code: How to Measure What Actually Works

One Tool to Rule Them All: Building a Fast AI Agent for Real-Time Response

Optimising GenAI at Runtime with Experimentation and Guardrails

Orbital Lasers vs For Loops: Economically Matching Models to Tasks

Our AI Hallucinated in Production: How We Fixed It With Evals

Regulatory AI: Building Intelligent Compliance into Financial Operating Systems

Shipping Sandboxed Workers for Notion Agents

Spec driven AI development – A Real World Perspective

State of the AI Model Landscape

Stop Blocking, Start Building: Rethinking Governance for the Agentic Era

Stop vibing your agents to production: applying ML discipline to agent development

The AI Control Plane: When Your Infrastructure Becomes the Context Window

The AI Tax and “legal” ways to minimise it

The Application Layer Is the New Research Lab

The Red Flags of Vibe Coding a Dating App

The Software Engineer Who Don’t Code

The State of the AI Engineering Job Market in Australia

Three Lanes Below One Millisecond: A Rust SDK for Gemini Live

Token Town (why compute strategy is product strategy)

Treating Infrastructure as Data: Building an AI-Native Control Plane

What If You Never Needed an API Key Again? Building a Mesh LLM From Spare Compute

What We Learned Taking a Culture-First Approach to AI Adoption at scale

When a Small Language Model Beat Our LLM in Production

Why AI coding tools might not make the slightest difference

Why LLMs Fall for Stories (And 5 Production Patterns That Actually Stop Them)

Why Most AI De-Identification Fails in Production, And How We Built One Lawyers Actually Trust

Why Your Coding Agent Forgets Everything

Your Agent Doesn’t Like Your APIs

Your Agents Pass Every Benchmark – Then Memory Breaks Them in Production

Your engineers aren’t afraid of AI. They’re afraid of becoming junior again.

Speakers

Danila Sashchenko

Security Engineer, previously Offensive Security Engineer TikTok

Lovee Jain

Senior Software Engineer | Google Developer Expert | AWS Community Builder

Navan Tirupathi

CTO , Architecture and AI Expert Arivminds

Aubrey Blanche

Global Head of Diversity & Inclusion Atlassian

Mark McDonald

Gemini Developer Experience Google DeepMind

Moss Ebeling

Head of AI Engineering Optiver Asia Pacific

Annie Vella

Distinguished Engineer Westpac New Zealand

Shivay Lamba

Software Developer TensorFlowJS SIG and WG Lead

Birger Halfmeier

Senior Cloud Architect DoiT International

Janna Malikova

Software Engineer Tomato Elephant Studio

Andrew Fisher

Co-Founder; CTO, Head of Creative Technology LoyPal

Dr Christian Dandre

Founder and Principal Consultant The Objective Company

Jeremy Howard

Founding CEO & Co-founder Answer.AI & fast.ai

Ron Au

Senior Software Engineer Canva (Leonardo.Ai)

Dave Hall

Principal Consultant Dave Hall Consulting

Stephen Sennett

AWS Community Hero & Lead Consultant at V2 AI V2 AI

Yicheng Guo

Senior Machine Learning Engineer REA Group

Theo Adis

AI Systems Architect | Financial Operating Systems (Fintech) Accelerate Funding Group

Co-Founder and CEO, Design Lead - ABC iview, Digital Accessibility Officer, Digital Strategist, Engineer, Founder, Founder and Strategy Director, Friendly Hacker, Graphic Designer, Inclusive Researcher and Designer, Mobile Developer, Nerd in Charge, Product Design Team Lead, Product Designer & Founding Partner, Senior Conversation Design Advocate, Software Cyber Shepherd, Staff Engineer in Ecosystem, Thought Leader, Web Technical Specialist Tech Leaders Launchpad