AI Marketing Engineer

Legora Legora · Vertical AI · New York, NY · Growth

This role focuses on building AI agents and workflows to improve marketing operations within a legal tech company. The engineer will partner with marketing teams to design, deploy, and integrate AI solutions, evaluate new technologies, and act as an internal evangelist for AI.

What you'd actually do

  1. Partner with marketing leadership to design and deploy AI-native workflows with human-in-the-loop supervision.
  2. Solve one problem at a time, leading the full lifecycle of internal AI solutions from input collection, problem scoping, prompt engineering through to integration, testing, and iteration.
  3. Research, assess and integrate different models and agent frameworks to match the right tool to each problem.
  4. Connect AI agents directly into our marketing data stack to ensure seamless data flow and execution.
  5. Bring a point of view on rapidly evolving AI landscape helping the broader team understand what is real and what is hype.

Skills

Required

  • Marketing Ops and Automation
  • building automations
  • AI workflows with skills and tool integrations
  • LLMs
  • prompt engineering
  • skills and agentic orchestration frameworks
  • manage context
  • structure model outputs
  • chain tasks together
  • building mindset
  • fast-moving, ambiguous environments
  • Strong communication skills
  • explain what you're building, why it matters, and how to use it to non-technical stakeholders
  • Marketing Instinct
  • curiosity about how marketing works
  • business impact

Nice to have

  • human-in-the-loop supervision
  • integration
  • testing
  • iteration
  • frontier technology
  • agent frameworks

What the JD emphasized

  • AI-native workflows with skills and tool integrations
  • LLMs, prompt engineering, skills and agentic orchestration frameworks
  • chain tasks together
  • see a slow or broken process and your first thought is "I can fix that"
  • define the brief as much as execute against it

Other signals

  • AI-native workspace
  • reimagine workflows with AI agents
  • integrate different models and agent frameworks