AI Engineer

Applied AI Role | Agentic Systems for Legal Workflows

Remote (GMT-5 to GMT+1 overlap) | Optional hubs:
London / New York

Full-time | Mid-level

Our client — AI-native Legal Tech company

Travel:
London every 5–6 weeks

• Must be eligible to work in the UK /EU
• No visa sponsorship currently available
• Must be able to travel to London every 5–6 weeks

Our client is rebuilding legal services around AI and data. Backed by $9M+ from a tier-1 US VC
, they are building a Cursor-like experience where lawyers collaborate with intelligent agents on real legal work.

You will join a small, high-caliber engineering team growing from 2 to 5, with direct ownership over agent and retrieval systems used daily by internal lawyers.

This is an engineering-first applied AI role focused on shipping reliable, production-grade systems — not just experimentation.

• Agent systems that automate legal document editing and repetitive workflows
• Retrieval pipelines that ground outputs with high-quality citations
• Deep research workflows enabling step-by-step legal investigation
• Model fine‑tuning pipelines as internal data matures
• End-to-end AI features deployed into real production environments

• LLM-powered and agentic architectures
• Retrieval and search systems
• Production backend infrastructure

• Strong production experience building AI systems in Python
• Hands‑on work with LLM-powered or agentic systems
• Proven model training or fine‑tuning experience
• Ability to translate ambiguous product goals into working systems
• Track record of shipping end‑to‑end in fast environments

• Experience with vector search or hybrid retrieval
• Background in collaborative editor or document workflows
• Exposure to regulated or high‑stakes domains
• Familiarity with GCP, Postgres, or Temporal
• Experience building products from zero to one

• Meaningful equity in a well‑funded early‑stage company
• Unlimited budget for AI coding tools
• Real ownership of agentic infrastructure
• Annual Mallorca offsite + regular team gatherings
• Tight feedback loop with real legal users

If you have shipped real AI systems into production and care about making agents actually reliable, our client wants to meet you...