
Ai Systems Architect
4 days ago
Job Opportunity
Airtree is advertising this role on behalf of Haast. Your application will be reviewed by a team member of Haast, not Airtree.
Haast is building one of the first enterprise-grade LLM implementations that delivers real, measurable value to compliance and legal teams today.
We are revolutionising operations with 80% faster reviews and 4x productivity boosts in the regtech industry which rockets toward a $50 billion future.
Think about it: Design has Canva. Projects have Trello. Now, Compliance has Haast.
The Role
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.
This is an ideal role for someone who wants to take ownership of high-impact systems in a product-led, AI-first company and help define how cutting-edge models are applied to real business problems.
Impact you'll make
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
What You'll Bring
Must Have:
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
Bonus points if you have:
Experience with search technologies (Vespa, OpenSearch)
FastAPI framework knowledge
Startup or high-growth environment experience
Research background in ML or search
Experience with DevOps and CI/CD tools
Growth and Impact:
Leading the evolution from dull, traditional SaaS to AI-powered workflows
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 and Culture:
Remote work available for exceptional candidates, preferably Sydney-based with flexible work arrangements
Competitive salary and equity - we believe in sharing the success
Rapid career growth - high performers get real opportunities
Collaborative, engineering-driven culture focused on learning and development
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