Developer Programmer

SiteX Limited; Auckland; On-site; NZD 90,000 - 130,000; Full time

Job summary

Jora New Zealand seeks an AI Engineer to design and deploy intelligent applications for builders, trade suppliers, and civil contractors.

You will architect RAG pipelines, build autonomous agents, and optimize context windows while ensuring secure, scalable cloud infrastructure and seamless ERP integrations.

Qualifications

• Bachelor degree or above in Computing/Information Technology/EE.
• 3+ years building production web apps (Vue 3 + Firebase; React/Angular welcome).
• AI fluent: use Claude Code, Cursor, Copilot or similar and discuss prompt engineering.
• Cloud & Infrastructure: comfortable with Firestore, Cloud Functions and serverless patterns.
• A bias for shipping: translate vague specs into working features.
• Care for code quality: tests, types, observability.

Responsibilities

• Architect RAG Pipelines to query project documents, specs, and codes.
• Build Autonomous Agents to cross-reference orders and flag discrepancies.
• Context Window Optimization for token limits and JSON outputs.
• Model Evaluation & Guardrails to reduce hallucinations in high-risk calculations.
• Develop Real-Time Features for field staff and managers.
• Construct Robust APIs (RESTful/GraphQL) for telemetry data.
• Integrate Legacy Systems with ERP and accounting tools.
• Manage Data Pipelines for messy construction data.
• Enforce Enterprise Security to prevent data leaks.
• Optimize Cloud Infrastructure and maintain CI/CD workflows.

Skills

Web development

AI fluency

Problem solving

Shipping mindset

Education

Bachelor's degree in Computing/Information Technology/EE

Tools

Vue 3

Firebase

React

Angular

Firestore

Cloud Functions

Job description

Jora New Zealand will close on 9th September 2026. Thank you for being with us, we are cheering you on as you continue your career journey.

We are building the next generation of AI-native software for builders, trade suppliers, and civil contractors. You will design, build, and deploy intelligent applications that automate complex workflows, optimize supply chains, and streamline heavy construction operations.

Key Responsibilities

AI Engineering & Workflow Automation

• Architect RAG Pipelines: Design and maintain Retrieval-Augmented Generation (RAG) systems to let builders query complex project documents, engineering specs, and local building codes.
• Build Autonomous Agents: Create multi-agent AI systems that can independently cross-reference material orders against blueprints, flag discrepancies, and notify suppliers.
• Context Window Optimization: Implement strategy for managing token limits and structured outputs (JSON) when processing massive, multi-page civil contracting tenders.
• Model Evaluation & Guardrails: Establish testing frameworks to benchmark LLM outputs, reducing hallucinations in high-risk calculations like material quantity takeoffs.

Core Software & System Architecture

• Develop Real-Time Features: Code highly responsive web and mobile interfaces that field workers, project managers, and suppliers use simultaneously.
• Construct Robust APIs: Design secure, event-driven RESTful and GraphQL APIs capable of handling high-frequency telemetry data from civil machinery and site delivery trucks.
• Integrate Legacy Systems: Build middleware to seamlessly sync AI-native tools with traditional construction ERPs, accounting software (e.g., Xero, MYOB), and inventory databases.
• Manage Data Pipelines: Build ETL pipelines to ingest, clean, and structure messy construction data including handwritten invoices, site photos, and CAD files.
• Enforce Enterprise Security: Implement strict data isolation protocols so proprietary builder blueprints and supplier pricing structures never leak between client models.
• Optimize Cloud Infrastructure: Scale containerized microservices across cloud environments to handle sudden spikes in background data processing without lagging.
• Maintain CI/CD Pipelines: Own the continuous integration and deployment cycles to safely push code updates to active construction sites without disrupting daily operations.

Required Skills & Experience

• Qualifications: Bachelor degree or above in Computing/Information Technology/EE
• Software Development: 3+ years building production web apps (we use Vue 3 + Firebase, but strong React/Angular engineers welcome)
• AI Fluent: you actively use Claude Code, Cursor, Copilot or similar in your daily flow and can talk credibly about prompt engineering and agentic workflows.
• Cloud & Infrastructure: Comfort with Firestone (or another document DB), Cloud Functions and serverless patterns.
• A bias for shipping: you can take a vague spec, ask the right questions and land a working feature
• Care for code quality: tests, types, observability — without ceremony
• Problem Solving: Ability to turn chaotic construction processes into elegant, deterministic software solutions.