About Haast

We're not just talking about AI - we're building one of the first enterprise-grade LLM implementations that delivers real, measurable value to compliance and legal teams TODAY.

For the last 2 years, we’ve been transforming how organisations handle compliance from a painful checkbox exercise into a smooth, intelligent process. Our AI-powered platform is helping legal, compliance, and marketing teams revolutionise their operations with 80% faster reviews and 4x productivity boosts. (And yes,we triple-checked those numbers!)

Why is this exciting? Because we're surfing the biggest wave in enterprise tech - the AI revolution. As the regtech industry rockets toward a $50 billion future, we're proudly flying the Australian flag on the global stage.

Think about it: Design has Canva. Projects have Trello. Now, Compliance has Haast.

The Role

As an ML & Search Engineer at Haast, you'll design and implement hybrid search methods that blend cutting-edge search databases with large language models. Your work will enhance our platform's ability to detect compliance risks in real-time, helping enterprises process thousands of marketing assets daily. We're looking for someone passionate about pushing the boundaries of AI and search technology to solve complex compliance challenges.

Impact You'll Make

Design and implement hybrid RAG search methods combining search databases and LLMs
Fine-tune and optimise machine learning models for compliance detection
Develop and maintain search infrastructure for high-performance query processing
Benchmark and evaluate system performance to drive continuous improvement
Work with structured and unstructured data to enhance compliance detection
Collaborate with the team to implement cutting-edge ML solutions

What You'll Bring

Must Have:

3+ years of experience in ML or search engineering
Strong proficiency in Python with clean code practices
Experience with search technologies (Vespa, OpenSearch)
Solid understanding of machine learning models and methods
Experience with database technologies (PostgreSQL)
Track record of implementing production ML systems

Nice to Have:

Experience with Large Language Models and RAG architectures
Data Engineering Experience
A background building benchmarking systems
FastAPI framework knowledge
Startup or high-growth environment experience
AWS cloud platform expertise
Research background in ML or search
Experience with DevOps and CI/CD tools

Why Haast?

Growth & Impact:

Leading the evolution from dull, traditional SaaS to AI-powered workflows (because nobody ever said "I love manually reviewing disclaimers!")
Build enterprise-grade AI technology that major institutions actually trust (and love!)
Empowering humans to focus on strategic work they love by eliminating tedious compliance reviews
Creating technology that builds customer trust and protects consumer rights

Benefits & Culture:

Sydney-based with flexible work arrangements (because life happens)
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 cutting-edge AI technologies that your current employer claimed you would be
Collaborative, engineering-driven culture focused on learning and development

We’re going global. Join our cracked team and let’s get there. Apply now!