About the role
Jude is a fully AI-enabled legal workspace purpose-built for law firms. We streamline everything from document drafting and collaboration to multi-jurisdictional matter management, so lawyers can focus on what matters most: delivering exceptional client outcomes.
We’re already live across three countries in beta and building toward global scale. We need senior engineers who care more about impact than writing code for its own sake. You’ll collaborate closely with designers, lawyers, and fellow engineers to shape a platform that elevates how legal teams practise.
What you’ll work on
- Owning the technical direction of AI agent pipelines with LangGraph and LangChain — deciding how we orchestrate LLMs and data extraction at scale, not just wiring them up
- Architecting and shipping performant serverless backend systems on AWS Lambda, Step Functions, and EventBridge that process millions of documents reliably
- Driving UI quality across React 19, TypeScript, and Tailwind CSS — across web and Electron desktop apps — and raising the bar for what we ship to users
- Leading the design of document ingestion and semantic search pipelines using vector embeddings and graph databases
- Making trade-off calls on fine-grained authorization via SpiceDB (Google Zanzibar model) and Auth0
- Influencing what we build — not just how — by working cross-functionally with designers, lawyers, and product
- Mentoring other engineers and shaping our engineering practices as the team grows
- Building and maintaining cloud infrastructure on AWS using Terraform in an Nx monorepo
Our stack
TypeScript and Python across a serverless-first architecture on AWS — TypeScript for APIs, frontend, and infrastructure; Python for document extraction, AI pipelines, and data processing. React 19 and Electron on the frontend. LangGraph agents backed by OpenAI, Anthropic, and Google models. PostgreSQL, DynamoDB, Redis, and Turbopuffer for data. Step Functions and EventBridge for orchestration. Terraform for infrastructure. All managed in a single Nx monorepo — you’ll have visibility across the entire system.
How we work
Small team, high trust, bias for action. We keep everyone informed of the business challenges and decisions being made — not because we have to, but because informed engineers are better problem solvers. You’ll have the context to manage your work and you’ll be empowered to do so.
We work in cycles: three weeks of intense feature-building followed by a one-week cooldown for discovery, experimentation, and building concepts you think matter. Daily standups happen in person or online depending on the day.
We don’t just build AI products — we build with AI. Every engineer on the team uses Cursor and Claude Code as daily tools, and we place no limits on funding for AI-assisted development and experimentation. If a new model, tool, or workflow can make you more effective, we’ll back it. We believe the engineers who learn to work alongside AI will define the next generation of software — and we want you to be one of them.
The norm is three days a week in the office, with the flexibility to come in more if you prefer.
What we’re looking for
- You’ve owned systems in production — made architectural calls, dealt with the consequences, and iterated without waiting for permission
- You’re a force-multiplier: you make the engineers around you better — through communication, code review, collaboration, and setting a high standard
- Strong experience across the full stack — frontend, backend, and infrastructure — with opinions about how to build things well
- You’ve shipped something with LLMs or AI/ML that actually worked reliably, or you have a genuine hunger to go deep and learn fast
- A pragmatic mindset: you know the difference between the right solution and the perfect one, and you ship with confidence
- You default to doing things today, not tomorrow — and you communicate directly when something’s blocked, broken, or wrong
Why join us
- New office at Smales Farm, Takapuna — a vibrant workspace on the North Shore with a free carpark, discounted gym membership, great coffee, and a buzzing community of companies around us
- Early stage, outsized influence — we’re already live across three countries in beta and primed for global growth; you’ll shape the product, the architecture, and the engineering culture from the ground up
- No bureaucracy, full transparency — everyone knows the business challenges, the decisions being made, and why. We share context so the whole team can solve problems, not just execute tasks
- Full-stack ownership — you won’t be siloed; you’ll touch everything from the database to the deploy pipeline
- Competitive compensation — we pay very well and offer generous employee stock options as part of every package
- AI-first engineering — unlimited budget for Cursor, Claude Code, and any AI tooling that helps you ship faster