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 LegalTech company

Travel: London every 5–6 weeks

Work Authorization

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

About the Opportunity 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.

What You’ll Build

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

Tech Environment

LLM-powered and agentic architectures

Retrieval and search systems

Production backend infrastructure

What They’re Looking For

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

Nice to Have

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

Why This Role Stands Out

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...

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