Hire AI/ML developers for your team in New Zealand

Start with the business problem and a measure of success. Accuracy on real examples, time saved or error rate gives you a way to judge the work before choosing a model.

• Model selectionChoose between a large language model API, a model trained on your own data and simple rules, according to the task.
• Document answersSplit documents, create embeddings and store them in a vector database, then pass relevant passages to a model with citations.
• Failure handlingPlan for timeouts, prompt injection, made-up answers and runaway usage, with fallbacks and human review where errors are costly.
• Production monitoringTrack quality, response time, usage and model drift as real-world data changes.
• Data privacyDecide what goes to external model providers, what is stored and who reads logs; consider self-hosting when it is the safer choice.

The developers we provide already work on our client projects; we do not find freelancers for your assignment. You direct the work, and we agree how the developer will fit into your product and team.

1. 01

   Choose capacity

   A full-time plan suits an ongoing product backlog. Part-time or hour-based work suits maintenance, a side project or tasks that arrive in bursts.

2. 02

   Join your workflow

   Developers use your repository, tickets and stand-ups. We agree the overlap hours before work starts.

3. 03

   Share the setup

   Give us an architecture overview, coding standards, branching and release process, plus instructions for running the project locally. We write down any gaps found during onboarding.

4. 04

   Set access

   Start with individual accounts and the least permissions needed in staging. Add production access once the review process is in place.

5. 05

   Keep control

   Hold repositories, cloud accounts and third-party services under your organisation, and confirm intellectual property assignment in the contract.

A business sending personal information to an overseas recipient needs to establish an appropriate basis for the disclosure. We set up the relevant consent flow when authorisation is the chosen basis, including a clear warning that the information may not receive the same protection. Offshore providers acting only as agents to store or process information, and not using it for their own purposes, are treated differently under principle 12.

If your product collects personal information from someone other than the individual, we set up a notice flow to make the individual aware of the specified matters, unless an exception applies.

Give the developer enough context to start on work you can review.

• A ranked backlog or a first set of well-described tasks, with a clear priority for each.
• Your working hours, the overlap you need and the person who will answer the developer’s questions.
• A definition of done covering review rules, expected tests, deployment and approval.
• The tools already used by your project, such as Python, pandas, PyTorch or scikit-learn, so the developer can understand the existing work.