Haast

AI Engineer

Haast

full-time

Posted on:

Location Type: Hybrid

Location: Sydney • Australia

Visit company website

Explore more

✨ AI Apply
Apply

About the role

  • 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.
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
ML engineeringreal-time inference systemsRAG architecturehybrid search methodsvector databasesLLMsscalable backend logicbenchmarkingcontinuous model evaluationproduction deployment
Soft Skills
Product MindsetAccountability-Firstattention to detailcuriosityadaptabilityleadershipproblem-solvingcommunicationcontinuous learningprecision