We are looking for an exceptional AI engineer to shape the future of legal work. We are building agentic systems that analyse millions of documents to extract the critical factual information that wins legal battles. As a core member of the early team, you will have direct oversight of the AI strategy, manipulating the most powerful technology in software to solve real problems faced by some of the world’s most expert litigators.

Responsibilities

• Design, build and refine production-grade LLM agents and proprietary algorithms for expert litigators
• Lead development of robust evaluation frameworks and pipelines, establishing metrics and benchmarking models on large datasets to steer R&D.
• Drive advanced prompt-engineering practice to maximise model efficacy.
• Apply core NLP fundamentals (tokenisation, embeddings, model architecture) while keeping outputs structured, performant and cost-efficient.
• Own clean, modular Python back-end code for data-intensive systems, balancing real-world constraints such as token limits, cost and latency.

Technical Must-Haves

• Expert-level Python with a track record of shipping production LLM systems
• Hands-on experience designing LLM agents and RAG pipelines.
• Proficiency with AI evaluation frameworks and end-to-end evaluation pipelines.
• Solid grounding in NLP fundamentals (tokenisation, embeddings, bias handling).
• Ability to juggle token limits, cost and latency while delivering structured outputs.

You will be:

A builder. You might spend your weekends at hackathons or playing around with DeepSeek. You love working with LLMs to crystallise new ideas and make them reality

Excited to work in our office in London. We work from the WeWork in Aldwych, and we spend 4 days a week in person.

Excited to work with a group of kind, ambitious builders solving challenging problems for enterprise clients.

Fascinated with AI and LLMs. You want to understand how they are made, what you can do with them, and where they are going. You will come to the office with new ideas which we can turn into production in a matter of hours.

Ready to work in a fast-paced startup environment with evolving requirements and priorities

What We Offer