AI Engineer - Remote

Overview

As an AI Engineer at Haast, you'll design and implement hybrid recall methods that blend cutting-edge search databases with large language models. You’ll play a key role in shaping how our platform detects compliance risks in real time, designing intelligent, scalable systems that power critical decision-making for enterprise teams.

In Short

• Own the design and implementation of hybrid search methods combining vector databases and LLMs
• Lead the optimisation of LLM pipelines and retrieval strategies for high-recall compliance detection
• Architect and maintain search infrastructure for scalable, low-latency query handling
• Design benchmarking systems and drive continuous model evaluation and tuning
• Work across structured and unstructured data to surface hidden compliance risk signals
• Partner with product and engineering to bring new ML features to life, end to end

Requirements

• Deep expertise in machine learning and/or search engineering, especially in production environments
• Proficiency in Python and writing clean, maintainable code
• Hands-on experience with LLMs, RAG architectures, and real-time inference systems
• Experience designing, deploying, and maintaining ML systems in production
• Experience working across back-end systems and search infrastructure
• Experience building NLP evaluation systems

Benefits

• Remote for exceptional candidates, preferably Sydney-based with flexible work arrangements (at least 2 days a week)
• Competitive salary and equity (ESOP) - we believe in sharing the success
• Rapid career growth - high performers get real opportunities, not just high fives and a monthly pizza party
• Work with the cutting-edge AI technologies that your current employer claimed you would be
• Collaborative, engineering-driven culture focused on learning and development