AI-Driven Software Engineer Intern (Azure)

Valocity Limited; Wellington; Hybrid; NZD 54,000 - 66,000; Full time

Job summary

Valocity Limited invites motivated students to join a 10-week, full-time paid internship as a junior engineer working on real R&D projects in Build with AI. You’ll be mentored weekly, contribute across AI-enabled tooling, and gain experience in Azure, containers, and CI/CD within production codebases.

You will explore problem definition, prototyping, testing with real data and users, and present findings to engineering leadership at the end of the internship.

Qualifications

• Currently studying or recently completed a degree in software engineering, computer science, data science or related field.
• Be eligible to work in New Zealand.

Responsibilities

• Design, build and test software components across the Build with AI tools, working within the pod’s sprint rhythm.
• Use AI-assisted development tools responsibly within guidelines and document AI contributions.
• Build and deploy on Azure using Platform 2.0 patterns, including containers and CI/CD pipelines.
• Design experiments and measure results against real data, releases and users.
• Work through GitHub, Jira and CI pipelines following code review and release governance.
• Write clear documentation of approach, findings and recommendations.

Skills

Programming foundations

C#/.NET

Python

TypeScript

AI coding assistants

Git

APIs

Relational databases

Education

Software engineering / Computer science degree or enrolled

NZQA level 6–10 tech/engineering/science qualification

Tools

Azure

Kubernetes

CI/CD

Job description

Valocity Limited invites motivated students to join a 10-week, full-time paid internship as a junior engineer working on real R&D projects in Build with AI. You’ll be mentored weekly, contribute across AI-enabled tooling, and gain experience in Azure, containers, and CI/CD within production codebases.

You will explore problem definition, prototyping, testing with real data and users, and present findings to engineering leadership at the end of the internship.