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Senior Software Engineer

Jude · Auckland

Senior 🇬🇧 English
TypeScript Python AWS Lambda Step Functions EventBridge React 19 Tailwind CSS Electron LangGraph LangChain OpenAI Anthropic PostgreSQL DynamoDB Redis Turbopuffer SpiceDB Auth0 Terraform Nx monorepo

Job description

About the role

Jude is building an AI‑enabled legal workspace that streamlines document drafting, collaboration, and multi‑jurisdictional matter management. As a Senior Software Engineer you will shape the platform that helps law firms deliver exceptional client outcomes.

Key responsibilities

  • Own the technical direction of AI agent pipelines using LangGraph and LangChain, orchestrating LLMs and data extraction at scale.
  • Architect and ship performant serverless backend systems on AWS Lambda, Step Functions, and EventBridge that process millions of documents.
  • Drive UI quality across React 19, TypeScript, and Tailwind CSS for web and Electron desktop applications.
  • Lead the design of document ingestion and semantic search pipelines using vector embeddings and graph databases.
  • Make trade‑off decisions on fine‑grained authorization with SpiceDB and Auth0.
  • Influence product direction by collaborating with designers, lawyers, and product managers.
  • Mentor engineers and help shape engineering practices as the team grows.
  • Build and maintain cloud infrastructure on AWS with Terraform in an Nx monorepo.

Required profile

  • Senior‑level engineer who prioritises impact over code for its own sake.
  • Comfortable collaborating with cross‑functional teams including designers, lawyers, and product owners.
  • Experience delivering reliable, high‑scale systems in a fast‑moving environment.

Required skills

  • TypeScript
  • Python
  • AWS Lambda, Step Functions, EventBridge
  • React 19, Tailwind CSS, Electron
  • LangGraph, LangChain
  • OpenAI, Anthropic, Google LLMs
  • PostgreSQL, DynamoDB, Redis, Turbopuffer
  • SpiceDB, Auth0
  • Terraform
  • Nx monorepo

What we offer

  • Access to cutting‑edge AI tools and unlimited funding for AI‑assisted development.
  • High‑trust, small‑team environment with autonomy and clear business context.
  • Three‑week feature cycles followed by a one‑week discovery cooldown.

Questions fréquentes

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Published 2 months ago

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Jude

Auckland