Applied AI Role | Agentic Systems for Legal Workflows
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
- Remote (GMT-5 to GMT+1 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 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.
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
- Python (core language)
- LLM-powered and agentic architectures
- Retrieval and search systems
- Production backend infrastructure
- AI-assisted engineering workflows
- 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