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Comply Copilot (Coco AI) Linkedin · Posted 6d ago

Software Engineer – AI Automation & LLM Systems

New Zealand

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Indexed description

This is a remote position.

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 building production AI applications using modern LLM technologies, including Retrieval-Augmented Generation (RAG), embeddings, vector databases, prompt engineering, and AI agent workflows. Proven ability to design, deploy, monitor, and optimise AI features used by real customers 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!

    Requirements

    3+ years of Software Development experience

    Benefits

    Annual team members benefits include:

    • $1,500 annual training allowance
    • Premium AI Coding Assistant plan
    • Your birthday off every year
    • Gym / wellness membership
    • ESOP options available
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