Full-Stack AI Engineer (TypeScript)

We are building an AI-native product at the intersection of desktop software and intelligent automation — think in the category of Cursor, Granola, or Raycast.

This is not a generic engineering role.

You will be at the core of a team designing, building, and shipping a product where the AI layer is the product.

You will own the full delivery pipeline — backend APIs, LLM agent logic, real-time communication, and desktop packaging — working in a fast-moving, high-ownership environment where engineering quality is non-negotiable.

Design and build backend services using NestJS 11 and Node.js 22 with Bun as the runtime toolchain

Develop responsive, performant frontend interfaces using React 19, MUI 7, Zustand, and Vite 7

Architect and maintain LLM application pipelines using LangChain and the MCP

SDK, including RAG workflows with ChromaDB 3 and HNSW indexing

Integrate and maintain the Tauri v2 desktop shell for cross-platform packaging and native OS interaction

Implement real-time features using Socket.IO

Write comprehensive tests across unit (Vitest 3), end-to-end (Playwright), and mutation (Stryker) layers

Contribute actively to architecture decisions and technical direction of the product

Strong TypeScript proficiency across both frontend and backend (3+ years in production)

Hands-on experience with React (v18/19) and NestJS or equivalent Node.js framework

Demonstrated experience building with LLMs — LangChain, RAG pipelines, vector databases, or tool/agent frameworks

Familiarity with Tauri, Electron, or any desktop application shell

Comfort with real-time architectures (Socket.IO, WebSockets)

A strong GitHub portfolio demonstrating AI or full-stack product work Experience with modern testing practices; mutation testing (Stryker) is a strong plus

Nice to Have

Exposure to ChromaDB, Weaviate, Qdrant, or other vector stores

Understanding of MCP (Model Context Protocol) and agent tool-calling patterns

Prior experience shipping cross-platform desktop applications

Familiarity with Rust at a conceptual level (for Tauri internals)

Remote-first environment with a globally distributed team

High ownership over a greenfield AI-native product

Competitive compensation benchmarked to global engineering talent markets

A culture of engineering excellence — quality over velocity, always

Apply now!