AI Engineer developing computer vision and deep learning algorithms for Mobileye's autonomous driving technology. Involved in high - definition map - making and real - time code execution.
About the role
- 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.
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
No Education Requirement
Location requirements
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