Software Engineer - AI Automation & LLM Systems

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 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 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 #J-18808-Ljbffr