Applied Research Engineer

The Role

We’re looking for a Research Engineer to experiment with, develop, and refine LLM-based AI assistants, document automation systems, and case workflow optimisations. This is an opportunity to bridge cutting‑edge AI research and real‑world applications.

• Conduct applied research on LLM-based reasoning, multi‑agent systems and develop frontier bespoke models for automating legal workflows.
• Develop prototypes and experimental models to explore novel AI‑driven legal solutions.
• Design and implement retrieval‑augmented generation (RAG) pipelines, leveraging embeddings, vector databases, and structured retrieval techniques.
• Optimise LLM inference and fine‑tuning using techniques such as LoRA, PEFT, prompt engineering, and caching.
• Integrate multi‑modal and external knowledge sources to enhance AI‑driven insights.
• Research and implement autonomous agentic AI systems for complex, multi‑step legal workflows.
• Stay up to date with the latest advancements in model architectures, alignment and interpretability, and orchestrating complex multi‑agent systems.
• Collaborate with engineers to transition experimental models into production‑ready systems.

• Strong background in AI research, applied machine learning, and NLP.
• Experience with LLM model adaptation, fine‑tuning, and inference optimization.
• Proficiency in Python, Pydantic, FastAPI, and working with LLM APIs (OpenAI, Anthropic, Mistral, etc.).
• Understanding of retrieval‑augmented generation (RAG), vector databases, embeddings, and structured AI retrieval.
• Hands‑on experience with LLM-based planning, reasoning, and autonomous task execution.
• Familiarity with self‑supervised learning, reinforcement learning, or adaptive AI techniques.
• Ability to translate academic AI research into practical experiments and working prototypes.
• Experience deploying AI models in cloud environments such as AWS/GCP.
• MSc or PhD in AI, ML, Computer Science, or a related field.

• Meaningful early‑stage equity at one of Europe’s fastest growing startups
• 33 days’ annual leave (25 + bank holidays) plus your birthday off
• Work from anywhere for a month
• Pension contribution via Nest
• Top‑spec equipment - Mac Book/Windows
• Regular team building activities and socials!