Haast is building one of the first enterprise-grade LLM implementations that delivers real, measurable value to compliance and legal teams.
The company has transformed how organizations handle compliance, making it a smooth, intelligent process with 80% faster reviews and 4x productivity boosts.
As an AI Engineer, you will design and implement hybrid recall methods that blend cutting-edge search databases with large language models.
You will play a key role in shaping how the platform detects compliance risks in real time and design intelligent, scalable systems for enterprise teams.
The role involves owning the design and implementation of hybrid search methods, optimizing LLM pipelines, architecting search infrastructure, and working with both structured and unstructured data.
Requirements:
Deep expertise in machine learning and/or search engineering, especially in production environments is required.
Proficiency in Python and the ability to write clean, maintainable code is essential.
Hands-on experience with LLMs, RAG architectures, and real-time inference systems is necessary.
Experience in designing, deploying, and maintaining ML systems in production is required.
Familiarity with back-end systems and search infrastructure is needed.
Experience in building NLP evaluation systems is a must.
Benefits:
The position offers remote work for exceptional candidates, preferably with a Sydney base and flexible work arrangements.
A competitive salary and equity (ESOP) are provided, reflecting the company's belief in sharing success.
There are opportunities for rapid career growth for high performers, beyond just recognition.
Employees will work with cutting-edge AI technologies.
The company promotes a collaborative, engineering-driven culture focused on learning and development.