AI Deployment Engineer for Legal Tech

United States Digital Space LLC

United States

Hybrid

USD 180,000 - 280,000

Full time

14 days+
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Benefits offered by this job

Hybrid work model (3 days in office)
Relocation assistance
Travel up to 50%

Job summary

United States Digital Space LLC is hiring a Forward Deployed Engineer to build and deploy AI systems for legal work. You will embed with customers, identify first-use cases, prototype solutions, and prove measurable value.

You will own the technical work from discovery through production adoption, translating workflows into feedback. The role offers hybrid work in SF/NYC with relocation assistance and up to 50% travel.

Qualifications

  • 5+ years of software or ML engineering experience with customer-facing ownership.
  • Experience with legal tech or regulated workflows is a plus.
  • Experience deploying AI or data-driven systems in production.
  • Proficiency with Python, JavaScript, and modern web stacks.

Responsibilities

  • Embed with law firms and client teams to understand workflows and identify high-value use cases.
  • Build full-stack systems that deliver customer value and accelerate learning.
  • Embed closely with customer teams, gathering needs and guiding adoption.
  • Make trade-offs between scope, speed, and quality; adjust plans to protect delivery.
  • Contribute directly in the code when needed to progress a deployment.
  • Codify patterns into reusable tools, playbooks, or building blocks.

Skills

Software engineering
ML engineering
Technical deployment
Python
JavaScript
LLMs / Generative models
Stakeholder communication

Tools

Python
JavaScript
LLM deployment tooling

Job description

United States Digital Space LLC is hiring a Forward Deployed Engineer to build and deploy AI systems for legal work. You will embed with customers, identify first-use cases, prototype solutions, and prove measurable value.

You will own the technical work from discovery through production adoption, translating workflows into feedback. The role offers hybrid work in SF/NYC with relocation assistance and up to 50% travel.

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