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Software & AI Engineer

CarbonScape Ltd

Accredited employerFull-timePosted 2 weeks ago

Job Description

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.

Design, develop and support software, data and AI solutions using Python, SQL, APIs and modern development frameworks, while integrating with and enhancing Microsoft 365, SharePoint, Teams, Power Platform and other business systems.

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.

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