AI Engineer

Over the past two years, our client has been reimagining compliance turning it from a tedious checkbox exercise into a streamlined, intelligent workflow. Their AI-powered platform enables legal, compliance, and marketing teams to work smarter, with review speeds up to 80% faster and productivity boosted by a factor of four. (Yes, those numbers have been triple-checked.)

What makes this exciting? They're riding the wave of the AI revolution of the most transformative movements in enterprise tech. As the regtech sector accelerates toward a projected $50 billion market, this Australian-led company is making a global impact.

Just like design has Canva and project management has Trello compliance finally has its own game-changer.



The Role

As an AI Engineer, you'll develop and refine hybrid recall methods that combine advanced 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.

We are looking for an experienced mid or senior engineer.


Impact you'll have

• Design and implement hybrid 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
• Solid understanding of machine learning models and methods
• Experience in backend development
• Experience building NLP evaluation systems
• 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
• Experience with database and search technologies (Vespa, OpenSearch)
• Startup or high-growth environment experience
• AWS cloud platform expertise
• Research background in ML or search
• Experience with DevOps and CI/CD tools
  

Benefits and Culture

• Remote
• 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 the cutting-edge AI technologies that your current employer claimed you would be
• Collaborative, engineering-driven culture focused on learning and development