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!