Applied AI Role | Agentic Systems for Legal Workflows Remote (GMT-5 to GMT1 overlap) | Optional hubs: London / New York Full-time | Mid-level 100,000 200,000 meaningful equity Our client AI-native LegalTech company Travel: London every 56 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 56 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 Python (core language) LLM-powered and agentic architectures Retrieval and search systems Production backend infrastructure AI-assisted engineering workflows 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