Artificial Intelligence Engineer

Upper Echelon NZ; Wellington; On-site; NZD 90,000 - 130,000; Full time

Job summary

Upper Echelon NZ is exploring opportunities for AI Engineers to design, build, and deploy AI-powered solutions across businesses in New Zealand. Join a network focused on turning emerging technologies into practical outcomes and scaling AI capabilities.

Roles span AI engineering, machine learning and generative AI, with potential work on production systems, integration into products and business workflows, and collaboration with teams to translate business problems into robust technical

Qualifications

• Experience developing and implementing AI, machine learning or generative AI solutions.
• Strong Python programming skills and experience working with APIs and data.
• Exposure to LLMs, RAG, prompt engineering, AI agents or other relevant AI technologies.
• Experience taking models or AI applications from proof of concept into production.
• Familiarity with cloud platforms such as AWS, Azure or GCP.
• An understanding of model evaluation, monitoring, performance and responsible AI practices.
• The ability to translate business problems into practical technical solutions.

Skills

Python

APIs

LLMs

RAG

Prompt engineering

AI deployment

Business problem solving

Job description

Are you an AI Engineer looking for your next opportunity? I'm keen to connect with people building practical AI solutions and helping businesses turn emerging technologies into real-world outcomes.

The Opportunity

I'm connecting with businesses looking to grow their AI capabilities, with opportunities across AI engineering, machine learning and generative AI. Depending on the role, you could be developing and deploying AI-powered applications, building LLM-based solutions, implementing retrieval-augmented generation (RAG), or integrating AI into existing products and business workflows.

What You'll Bring

• Experience developing and implementing AI, machine learning or generative AI solutions.
• Strong Python programming skills and experience working with APIs and data.
• Exposure to LLMs, RAG, prompt engineering, AI agents or other relevant AI technologies.
• Experience taking models or AI applications from proof of concept into production.
• Familiarity with cloud platforms such as AWS, Azure or GCP.
• An understanding of model evaluation, monitoring, performance and responsible AI practices.
• The ability to translate business problems into practical technical solutions.

Why Connect?

Whether you're an AI Engineer focused on LLM applications, a Machine Learning Engineer building production models, or a software engineer moving into AI, I'd love to connect. These opportunities offer the chance to work on meaningful projects and help shape how organisations adopt and implement AI.