AI Engineer developing enterprise-grade AI systems for compliance reviews at Haast. Leading the architecture of AI detection and search infrastructure for real-time risk assessment.
Responsibilities
Lead the development of high-impact systems, architecting how our AI detects risks in real-time.
Ensure our search infrastructure is robust, fast, and incredibly accurate.
Take full accountability for the AI systems you build, from initial discovery and RAG architecture to production deployment and monitoring.
Challenge 'why' and 'how' to ensure our AI is actually solving the user’s problem with high precision.
Move seamlessly between architecting hybrid search methods (combining vector databases and LLMs) and building the scalable backend logic that powers them.
Champion benchmarking, continuous model evaluation, and a 'ship fast, but never broken' mentality.
Lead by example, fuelling a culture of curiosity, precision, and continuous learning in the AI space.
Requirements
Deep experience in ML engineering, search infrastructure (Vespa, OpenSearch), or building complex real-time inference systems.
You have a Product Mindset: You are driven by impact, not just model accuracy.
You are Accountability-First: When you say 'I've got the retrieval strategy handled,' the team knows it’s as good as done.
You have a Production Track Record: You’ve built and scaled ML/AI systems in the real world (not just in notebooks).
You are a Polished Craftsman: You have an eye for detail and an obsession with making AI outputs feel reliable, trustworthy, and 'right' for the user.
You are Curious & Adaptable: You stay ahead of the curve in LLMs and search tech because you love the space, not because it’s your job.
Benefits
Remote-Friendly & Collaborative: Hybrid for Sydney-siders but open to exceptional candidates across Australia.
Equity & Upside: We believe in sharing our success with the people who build it.
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