Optimisation Engineer for AI Rostering (Hybrid NZ)

RosterLab Limited.; Auckland; Hybrid; NZD 120,000 - 180,000; Full time

Benefits offered by this job

Equity/ESOP

Job summary

RosterLab Limited in Auckland, NZ is seeking an Optimisation Engineer to join our R&D team in a hybrid, full-time role.

You will develop optimization models for hospital rostering and contribute to AI agents integration, with real-world impact. You will work across mathematical optimisation, constraint programming and metaheuristics, prototype rapidly, and help turn research into production software at a fast-moving SaaS startup.

Qualifications

• Master’s or PhD in STEM is required.
• Strong mathematical and algorithmic problem-solving ability.
• Experience with mathematical optimisation, constraint programming, heuristics, metaheuristics, algorithms, or operations research.
• Strong programming skills and comfortable rapidly prototyping and testing new approaches.
• Interested in the intersection of optimisation and modern AI/LLM systems.
• Research-minded and experimental — you enjoy benchmarking approaches and finding better solutions.

Responsibilities

• Develop and improve optimisation models for hospital rostering problems.
• Work with techniques such as integer programming, decomposition, and metaheuristics.
• Improve solution quality, robustness, and computational performance.
• Build modelling techniques mapping to real-world scenarios.
• Collaborate with engineering and product teams to productionise research and prototypes.

Skills

Mathematical optimization

Constraint programming

Heuristics

Metaheuristics

Programming

Rapid prototyping

AI/LLM systems

Research mindset

Education

Master's or PhD in STEM

Job description

RosterLab Limited in Auckland, NZ is seeking an Optimisation Engineer to join our R&D team in a hybrid, full-time role.

You will develop optimization models for hospital rostering and contribute to AI agents integration, with real-world impact. You will work across mathematical optimisation, constraint programming and metaheuristics, prototype rapidly, and help turn research into production software at a fast-moving SaaS startup.