AI-Driven Software Engineer Intern

Empathix; Auckland; Hybrid; NZD 40,000 - 60,000; Full time

Job summary

Fergus seeks a Software Engineering Intern in Auckland, NZ. You will contribute real shipping work to a live AI feature project, joining a cross-functional team and working inside Shape Up delivery cycles from shaping through to building and shipping.

You will partner with a senior engineer mentor, learning to use AI coding assistants within a production codebase: prompting, reviewing outputs, and building features that call LLMs, including handling cases where AI errs.

Qualifications

• Final year of engineering/CS degree or equivalent
• Hands-on coding through coursework, projects or internships
• Interest in AI-assisted software development; previous AI tool use is desirable
• Right to work in New Zealand for full duration of internship
• Internship or part-time experience is desirable
• Exposure to agile/iterative delivery desirable

Responsibilities

• Contribute across a full Shape Up cycle within a cross-functional team
• Use AI coding assistants to build features in Fergus production codebase
• Design prompts and integrate LLM APIs; handle failure cases in AI output
• Automate internal workflows using AI tooling
• Maintain Fergus's shared prompt library and evaluation practices
• Participate in peer coding sessions and PR reviews
• Escalate ambiguity or risk to mentor
• Write clear documentation for internal use and future interns

Skills

AI usage

Problem solving

Written comms

Collab & feedback

Education

Undergrad/PG engineering or CS

Tools

Git

Job description

Fergus seeks a Software Engineering Intern in Auckland, NZ. You will contribute real shipping work to a live AI feature project, joining a cross-functional team and working inside Shape Up delivery cycles from shaping through to building and shipping.

You will partner with a senior engineer mentor, learning to use AI coding assistants within a production codebase: prompting, reviewing outputs, and building features that call LLMs, including handling cases where AI errs.