Who we are:

We're Dexibit. We love dinosaurs and data. Our Kiwi AI product helps visitor attractions (museums to zoos to theme parks) make sense of their data and make better decisions. We work with big international names alongside local favourites like MOTAT and Weta. We’ve been widely recognised in industry and picked up a few awards along the way from HiTech, NZIBA, TIN and more. 

Dexibit recently joined accesso, a global technology company serving over 1,000 venues across 30+ countries. That means our platform, our reach, and the complexity of the problems we get to solve just got a lot bigger. 

What we build :

Dexibit brings together our deep domain knowledge, AI-ready data platform, served through an agentic interface. We create value for our customers by addressing non-trivial tasks like strategic modelling, scheduling, operational reporting and analysing visitor feedback. 

Under the hood, the AI layer orchestrates real business logic and APIs: integration packs, custom datasets and benchmarks, context control features, and our query and visualisation infrastructure. 

The agentic interface is where we're investing new feature development. Think streaming, context window management, tool orchestration, sandboxed execution. There's real depth here, and real problems to solve. 

Where you fit :

We're looking for a product-minded software engineer who can shape what we build and how we build it. You'll be in the code every day. But we value engineers who lead naturally: through design decisions, technical direction, mentorship, and bringing the team along. 

You're full-stack, but you lean heavily to one side, whether that's backend data systems or frontend product engineering. With the depth of our problems (and the leverage that frontier LLMs now give us), we believe strong engineers need real depth on one side while being capable and willing to contribute across the stack. 

What you bring :

You break complex problems into simple, elegant solutions. You're a great communicator with strong customer empathy. You're quick to understand the why behind the work. 

You're a proven engineer (5+ years) with experience across different systems and domains. You've shipped impactful work and can talk honestly about the failures as well as the wins. 

You bring curiosity and humility. You mentor naturally. You're not afraid to give constructive feedback, and you genuinely enjoy learning from others' perspectives. 

Our tech stack :

• Languages we use: English, TypeScript, Java, Python, SQL 

• Data systems: PostgreSQL, DuckDB, Databricks, OLTP/OLAP 

• Platforms: cloud native on AWS (with Ansible + CDK), Datadog, Modal, LangFuse 

• AI/LLM: OpenAI/Anthropic models, Pydantic, AI SDK, LangChain4J, XGBoost, Prophet 

• UI: React, Jotai/Redux Toolkit, BFF, data viz, possibly WASM in the future 

• Systems: mix of serverless, services, and monolith 

• Way of working: cycles, communication over process 

• Dev tooling: Claude Code, Codex. We build AI, and we build with AI 

Details :

• Auckland-based, hybrid (3 days in-office / 2 at home) 

• We're open on level. Whether you're a strong senior engineer or someone with 15 years under your belt, we'll meet you where you're at in terms of title and compensation. 

Even if you can't tick every box, we still encourage you to apply. Dexibit recognises all our team as diverse and unique individuals. 

Does building a brand-new product from the ground up, with AI tooling as a force multiplier, make you tick?

At Re-Leased our vision is to shape the future of Commercial Real Estate and drive better outcomes for people, property and planet. We're now building am:pm — an agentic AI product that becomes the company brain for real estate operators. It reads the communications, surfaces the relevant context from documents and prior decisions, and drafts responses grounded in the full history of the portfolio. You can read more at ampm.ai.

am:pm is in early access with customers right now. The squad is small, the stack is new, and we're moving fast.

Your Role

We're looking for intermediate to senior engineers to join the squad building am:pm — based in Napier or remote from another city in New Zealand. You'll ship customer-facing features end-to-end, from Vue 3 through to .NET 8 services on Azure, and you'll use AI coding tools (Claude Code) as a core part of how you work.

This is a small-team, start-up environment inside an established SaaS business — less process, more agency, and a tight feedback loop with real customers.

What you'll be owning

• Ship full-stack features that deliver real customer value — Vue 3 front-end through to .NET 8 back-end services on Azure

• Use AI tooling (Claude Code) as a first-class part of your workflow to move fast without cutting corners

• Work directly with product, design and customers to figure out what to build next — not just how to build it

• Diagnose and fix production issues quickly, then harden so they don't come back

• Contribute to the technical direction of a new product, including how we design and evaluate AI-powered features

• Support and lift the level of the engineers around you

What you'll bring

• 3+ years of full-stack software engineering experience in a SaaS product environment

• Vue.js 3 with Shadcn UI components. Comfortable with the Composition API, TypeScript, and modern front-end tooling.

• Solid .NET 8 / C# and SQL Server back-end skills

• Track record of shipping on Microsoft Azure, ideally with exposure to IaC (Terraform) and Azure DevOps pipelines

• Actively using AI coding tools day-to-day and have opinions on how to get the most out of them

• Comfortable with ambiguity, change, and making calls with incomplete information — you're drawn to small teams and early-stage product work

• A genuine focus on the customer outcome, not just the code

• Preferred experience building LLM-powered features — prompt design, evals, retrieval, agent workflows

• Preferred prior start-up or zero-to-one product experience

Our stack & how we work

am:pm is built on .NET 8, Vue 3, SQL Server and a growing set of AI services on Microsoft Azure. The squad manages its own DevOps — Terraform for IaC, Azure DevOps for pipelines. We've woven AI tooling deeply into how we work; if you're excited by the idea of building AI-native software and using AI to build it, you'll fit right in.

Why you’ll love working here  

• Taking care of you: Including comprehensive health insurance, access to a premium EAP service and an annual wellness allowance to spend on what helps you feel good - whether that’s towards a gym membership, new running shoes, or mindfulness apps. 
• Support for families: Generous paid parental leave and flexible, family-friendly support designed to help growing families balance work and life with confidence. 
• Recognition for tenure and milestones: We celebrate time, commitment, and contribution with milestone rewards and additional leave as you grow your career with us. 
• Flexible working, built for a global team: With customers and teammates across New Zealand, Australia, the United Kingdom, and North America, we work in a hybrid, remote-friendly way with collaborative offices and the flexibility of a balanced approach to WFH/i-office work.   

Our culture is very important to us too, and we strongly believe in living out our core values:   

• People First: One team globally; our people and customers always come first.
• Find a Way: Like a river, we find a way around all obstacles  
• Win or Learn: Our journey for improvement never ends; enjoy the ride!  
• Aim High: We dare to set big goals and love the challenge of achieving them against the odds. 

Ready to Level Up?  

Join us and help shape the future of real estate at one of the most exciting SaaS companies born from New Zealand. 

www.re-leased.com 

Who we are:

We're Dexibit. We love dinosaurs and data. Our Kiwi AI product helps visitor attractions (museums to zoos to theme parks) make sense of their data and make better decisions. We work with big international names alongside local favourites like MOTAT and Weta. We’ve been widely recognised in industry and picked up a few awards along the way from HiTech, NZIBA, TIN and more. 

Dexibit recently joined accesso, a global technology company serving over 1,000 venues across 30+ countries. That means our platform, our reach, and the complexity of the problems we get to solve just got a lot bigger. 

What we build :

Dexibit brings together our deep domain knowledge, AI-ready data platform, served through an agentic interface. We create value for our customers by addressing non-trivial tasks like strategic modelling, scheduling, operational reporting and analysing visitor feedback. 

Under the hood, the AI layer orchestrates real business logic and APIs: integration packs, custom datasets and benchmarks, context control features, and our query and visualisation infrastructure. 

The agentic interface is where we're investing new feature development. Think streaming, context window management, tool orchestration, sandboxed execution. There's real depth here, and real problems to solve. 

Where you fit :

We're looking for a product-minded software engineer who can shape what we build and how we build it. You'll be in the code every day. But we value engineers who lead naturally: through design decisions, technical direction, mentorship, and bringing the team along. 

You're full-stack, but you lean heavily to one side, whether that's backend data systems or frontend product engineering. With the depth of our problems (and the leverage that frontier LLMs now give us), we believe strong engineers need real depth on one side while being capable and willing to contribute across the stack. 

What you bring :

You break complex problems into simple, elegant solutions. You're a great communicator with strong customer empathy. You're quick to understand the why behind the work. 

You're a proven engineer (5+ years) with experience across different systems and domains. You've shipped impactful work and can talk honestly about the failures as well as the wins. 

You bring curiosity and humility. You mentor naturally. You're not afraid to give constructive feedback, and you genuinely enjoy learning from others' perspectives. 

Our tech stack :

• Languages we use: English, TypeScript, Java, Python, SQL 

• Data systems: PostgreSQL, DuckDB, Databricks, OLTP/OLAP 

• Platforms: cloud native on AWS (with Ansible + CDK), Datadog, Modal, LangFuse 

• AI/LLM: OpenAI/Anthropic models, Pydantic, AI SDK, LangChain4J, XGBoost, Prophet 

• UI: React, Jotai/Redux Toolkit, BFF, data viz, possibly WASM in the future 

• Systems: mix of serverless, services, and monolith 

• Way of working: cycles, communication over process 

• Dev tooling: Claude Code, Codex. We build AI, and we build with AI 

Details :

• Auckland-based, hybrid (3 days in-office / 2 at home) 

• We're open on level. Whether you're a strong senior engineer or someone with 15 years under your belt, we'll meet you where you're at in terms of title and compensation. 

Even if you can't tick every box, we still encourage you to apply. Dexibit recognises all our team as diverse and unique individuals.