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Contract
Annual Training Allowance, AI Coding Assistant, Birthday Off, Gym / Wellness Membership, ESOP Options
Posted 32d ago
~40 hrs/week
Responsibilities
Build and deploy intelligent AI automation workflows and LLM integrations to automate document processing and compliance checks. Collaborate directly with founders to translate user problems into high-impact product features and technical foundations.
Requirements
Requires 4+ years of experience in production software development with proficiency in Python or TypeScript and hands-on experience with LLMs and RAG. Must have the legal right to work in New Zealand and a strong product intuition for rapid iteration.
Full job description
Software Engineer – AI Automation & LLM Systems
About Comply Copilot (Coco AI)
Land development, planning consultants waste weeks on consenting paperwork that should take days. We're building AI-native SaaS tools that automate document processing, compliance checks, and report generation – so they can focus on the work that actually matters.
We're industry-backed, hybrid-working, and growing fast. This is a founding-stage role with meaningful equity. You'll work directly with the founders, ship to real users weekly, and help build something that changes how an entire industry works.
Work setup: Hybrid (NZ-based) with 2-3 days/week in our Auckland office for co-working.
The Role – Software Engineer (AI Automation & LLMs)
As a software engineer focused on AI automation, you'll:
Build intelligent automation workflows – Design and ship systems that process emails, documents, and forms using LLMs to extract data, validate compliance, and trigger downstream actions
Own LLM integrations end-to-end – Work with OpenAI, Anthropic, and similar APIs to build production features including prompt engineering, RAG pipelines, and vector search
Ship user-facing AI features – Deploy workflow automation tools to planning consultants, gather feedback, and iterate based on real-world usage
Work directly with founders – Translate ambiguous user problems into simple, high-impact product decisions without needing a product manager
Contribute to technical foundations – Help establish patterns for data models, API design, and AI system architecture as the team grows
Your Background
Must have:
4+ years of experience building and shipping production software, with strong proficiency in Python or TypeScript and a track record of owning features end-to-end
Hands-on experience with modern AI/ML tooling – including LLMs, RAG, embeddings, prompt engineering, and proven ability to deploy AI features in production environments
Experience building workflow automation – ideally processing emails, documents, or forms using LLMs to extract, validate, or route information
Strong product intuition – able to translate ambiguous user problems into simple, shippable solutions without extensive hand-holding
Legal right to work in New Zealand
Must be:
Comfortable with ambiguity, rapid iteration, and extreme ownership
Outcome-focused (not ticket-focused)
A clear communicator who over-communicates rather than under-communicates
Startup-ready: high autonomy, fast learner, low ego
Our Delivery Ethos
You'll thrive if you like to:
Own outcomes – This is an equity role. You're a partner, not a contractor. You care about what gets delivered and whether it works for users – not just closing tickets.
Think in systems – You're a first-principles thinker. You strategise the big picture, break it into shippable pieces, deploy the first version, and iterate based on what you learn from users every week.
Ship fast – We deploy multiple times a day. You love tight feedback loops with users. No 6-month waterfalls, no endless planning docs. Build small, ship fast, learn, repeat.
Work with a high-functioning team – We're building something together. If you prefer working solo in a dark cupboard without checking in, we're not for you.
Technology Stack
Here's what we build with:
Database: Postgres
Backend: FastAPI (Python)
Frontend: React
APIs: REST
AI/LLMs: Production experience with OpenAI, Anthropic, Gemini or similar
Vector DB: Experience with RAG patterns and vector databases
Nice to have: Chakra UI, TanStack, experience with fine-tuning or inference optimisation
To Apply
Skip the cover letter. Just send us a one-page resume with your most recent places of work, job title, duration, and what you shipped that mattered (1–2 lines max).
Example:
Xero, Software Engineer, 2 years
Built the invoice reconciliation engine used by 50k businesses. Reduced processing time by 80% and cut support tickets by 40%.
Sound Like You?
If you're keen to join a high-functioning team with plenty of growth potential, we'd love to hear from you!
3+ years of Software Development experience
Annual team members benefit from:
$1,500 annual training allowance
AI Coding Assistant - premium plan
Your birthday off every year
Gym / wellness membership
Paid parking for in office days
ESOP options available
Related keywords
AI AutomationLLMRAGOpenAIAnthropicGeminiVector DatabaseFastAPIReactPostgresTypeScriptPythonPrompt EngineeringEmbeddingsSaaSCompliance Automation
The AI-native workspace for resource consenting. Coco operates as your intelligent AI town-planning assistant.
Industry
Technology, Information and Internet
Company size
2-10 employees
Founded
2026
Comply Copilot (Coco), is the AI-native workspace for resource consenting teams. Our AI town planning assistant, Coco, helps streamline the end-to-end consenting experience for planners, land development consultants and councils.
town planningconsent applicationsproject monitoringpolicy intelligenceand planning permission
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