Senior AI Engineer
Haast
full-time
Posted on:
Location Type: Hybrid
Location: Sydney • 🇦🇺 Australia
Visit company websiteJob Level
Senior
Tech Stack
AWSCloudPython
About the role
- Design & Build: Architect and implement hybrid search methods combining vector databases with LLMs.
- Optimize & Scale: Lead the optimization of retrieval strategies and pipelines for high-recall compliance detection.
- Benchmark & Evaluate: Develop evaluation systems, drive continuous tuning, and set performance standards.
- Partner & Deliver: Collaborate with product and engineering to deliver new ML features end to end.
Requirements
- Proven experience in ML or search engineering in production
- 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 Vespa, OpenSearch, or similar search technologies
- Data engineering or benchmarking system design
- FastAPI framework experience
- AWS cloud expertise
- Startup or high-growth environment experience
- Research background in ML or search
- DevOps and CI/CD familiarity
Benefits
- Flexible hybrid model - Sydney preferred, Aus remote possible for the right candidate
- Competitive salary and above market equity (ESOP) - we share success
- Collaborative, engineering-driven culture with a focus on learning and growth
- Work with the AI technologies everyone talks about - but rarely gets to use
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
PythonLLMsRAG architecturesreal-time inference systemsNLP evaluation systemsdata engineeringbenchmarking system designFastAPIDevOpsCI/CD
Soft skills
collaborationleadershipoptimizationevaluationtuning