Key Responsibilities
- Build core AI features (design and ship document processing) compliance validation, and automated reporting using LLMs and custom ML pipelines
- Own the architecture and make technical decisions on infrastructure, data models, and integration
- Work with real users. Deploy features weekly, gather feedback, and iterate based on what you learn
- Shape the product work with the founders to define what you build, how you prioritise
- Establish the engineering culture, set standards for code quality, deployment practices, and how the team works as it grows
- Demonstrated experience shipping production code (Python/FastAPI/React)
- Hands-on experience deploying LLM features in production (OpenAI, Anthropic, Gemini or similar)
- Experience with RAG patterns and vector databases
- Comfortable with ambiguity and fast iteration
- Outcome focused, not ticket-focused
- Clear communicator
- Own outcomes: It's an equity role. You're a partner, not a contractor
- Think in systems, strategise the big picture, break it into shippable pieces
- Ship fast, Multiple deployments per day. You love tight feedback loops
- Work with a high-functioning team - We're building something together., not working solo i
- Meaningful ESOP as a founding software team member
- Competitive base salary structured to suit your needs
- Hybrid work, Auckland or Christchurch
- Annual learning budget
- 20 days annual leave
- Quarterly team bonding sessions
- An environment to test, learn and apply yourself