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Confidential company

Job listing

San Francisco, United States and London, UKNot Disclosed

Founding Applied AI Engineer at high-growth legal tech startup

Are you ready to join a high-growth legal tech startup at the founding stage? We are looking for an elite Applied AI Engineer to work directly with the CTO and build production-grade models that transform contract management. With backing from top-tier VCs and 50x revenue growth this year, this is a rare opportunity to own technical systems end-to-end and drive a technological revolution in a $1 trillion industry.

Overview

Role overview

As a Founding Applied AI Engineer, you will build the next generation of AI-driven legal tools, focusing on automating complex contract workflows. Working directly with the CTO, you will own technical buildouts end-to-end and develop production-grade ML models. This is a high-impact role at a well-funded startup rapidly scaling its revenue and product.

Company

About the company

High-growth legal tech startup

Responsibilities

What you will do

  • Design and deploy machine learning models specifically optimized for production-level legal document processing.
  • Partner with the CTO to lead customer-facing technical implementations and full-stack product features.
  • Own the entire lifecycle of complex systems, from initial architectural reasoning to identifying failure modes.

Candidate profile

Who this is a fit for

  • Possesses strong computer science fundamentals and experience training ML models for production use-cases.
  • Demonstrates high personal agency and the ability to drive projects to completion with limited direction.
  • Thrives in a fast-paced, demanding environment and is eager to progress faster than their industry peers.

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What makes it remarkable

Why this role is remarkable

  • Join as a founding team member with direct exposure to scaling an AI startup from its earliest stages.
  • Work at a company backed by top-tier VCs that has already achieved significant revenue growth and market traction.
  • Solve complex technical challenges in a trillion-dollar industry ripe for AI-driven transformation.

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