
AI Systems Architect
2 days ago
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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