Software & AI Engineer

Demand for our world-first sustainable biographite battery material is accelerating globally. To support this growth, we are developing our New Zealand biographite production facility near Blenheim and are looking for a Software & AI Engineer to join our team.

Based at our Riverlands Pilot Plant facility, this broad, hands-on role works alongside our IT Systems & Data Engineer to develop software, AI, automation and business systems solutions that improve how CarbonScape operates. We welcome applications from high-performing graduates and experienced engineers, with ongoing development across software engineering, AI, machine learning, cloud technologies and evolving business systems forming an important part of the role.

The Position

• Design, develop, maintain and support software applications, integrations and technical solutions that improve efficiency, scalability, automation and decision-making.
• Help identify, develop and implement practical AI, machine learning and automation initiatives across CarbonScape.
• Develop and improve workflows and business systems using Microsoft 365, SharePoint, Teams, Power Platform and other business applications.
• Contribute to technology projects from planning through implementation, working with internal users, vendors and service providers to deliver reliable outcomes.
• Support system administration, users, documentation, training, cybersecurity and governance while continually developing your technical capability across software, AI, cloud and business systems.

Candidate Requirements

• A relevant tertiary qualification in software engineering, computer science, information technology, data science or a related discipline, or equivalent practical capability.
• Software development capability demonstrated through study, personal projects, internships or professional experience.
• Sound programming fundamentals and the ability to develop clear, reliable and maintainable solutions.
• An interest in, or practical experience with, artificial intelligence, machine learning and automation technologies.
• Familiarity with APIs, integrations, databases, cloud technologies or source-control practices.
• Experience with Microsoft 365, SharePoint, Teams, Power Platform or similar business systems would be advantageous.
• Strong analytical, problem-solving and troubleshooting skills, with a practical approach to delivering solutions.
• Clear communication skills and the ability to work effectively with technical and non-technical stakeholders.
• An understanding of responsible data management, cybersecurity, governance and the importance of protecting company information and intellectual property.
• A curious, adaptable and self-motivated approach, with a strong commitment to continuous learning, teamwork and professional development.