About the job

Principal AI Engineer (Agentic AI)📍 Sydney / Melbourne Hybrid

Are you a senior engineering leader who still loves to code?

Have you reached a point in your career where you're spending more time managing engineers than actually engineering?

Do you miss solving complex technical problems, building systems from scratch and seeing your own code deployed into production?

We're looking for exceptional engineering leaders who want to remain deeply hands-on while working at the forefront of applied AI.

This opportunity combines the technical ownership of a Principal Engineer with the strategic influence of an Engineering Director, building production-grade AI agents for some of the world's leading enterprises.

You won't just define AI strategy. You'll be the person making it happen.The OpportunityWe're partnering with a frontier AI deployment organisation focused on turning the world's most advanced AI models into scalable, production-ready enterprise solutions.You'll work alongside exceptional engineers and senior stakeholders, solving complex business challenges through applied AI.Working in small, highly capable teams, you'll own solutions from initial discovery and architecture through to production deployment.

• You'll design the architecture, write the code, lead technical decisions and see your solutions operating in production.What You'll Be DoingBuild AI Agents: Design and deploy production-grade AI agents, multi-agent systems, RAG architectures and intelligent workflows.
• Own Technical Architecture: Lead system design and engineering decisions while remaining actively involved in coding.
• Deliver Production AI: Take solutions from prototype through to deployment, evaluation, monitoring and optimisation.
• Lead Through Engineering: Mentor exceptional engineers, establish engineering standards and solve complex technical challenges.
• Partner with Enterprise Leaders: Translate ambiguous business problems into scalable AI solutions with measurable commercial impact.

• What We're Looking For:Strong Software Engineering FoundationsExtensive hands-on software engineering experience, particularly with Python.
• Strong system design, software architecture, APIs and distributed systems experience.
• Excellent engineering fundamentals across testing, code quality, scalability and reliability.
• Ability to critically evaluate AI-generated code and make sound architectural decisions.

• Applied AI & Agentic EngineeringProven experience building and deploying LLM-powered applications into production.
• Hands-on experience with AI agents, tool calling, orchestration and structured outputs.
• Strong understanding of RAG, vector databases, embeddings and retrieval strategies.
• Experience with frontier models, LLM evaluations, guardrails and observability.
• Understanding of how to balance AI capabilities with traditional software engineering.

• Technical LeadershipExperience leading complex engineering initiatives from architecture to deployment.
• Ability to influence senior stakeholders and communicate technical decisions effectively.
• Comfortable mentoring engineers while remaining a strong individual contributor.
• Commercially minded, adaptable and comfortable solving ambiguous problems.

• We're particularly interested in engineers who:✅ Build, not just advise – You're still comfortable opening your IDE and solving difficult problems yourself.✅ Take AI beyond POCs – You've deployed AI systems that real customers and businesses rely on.✅ Have exceptional engineering fundamentals – You leverage AI coding tools without compromising software quality.✅ Lead without leaving the technology – You influence architecture, mentor engineers and engage with executives while remaining hands-on.✅ Thrive around exceptional engineers – You enjoy challenging technical environments where engineering quality matters.