lawhive

Applied Research Engineer

🇬🇧 London, Royaume-Uni Sur site Publié Mai 30, 2026
Mode de travail Sur site
Langue English
Publié 30 mai 2026
Dernière vérification 30 mai 2026
Contexte JobGrid

Résumé du poste par JobGrid

Applied Research Engineer at Lawhive in London, United Kingdom, on-site. JobGrid normalizes the role facts from the source record, keeps the original-language boundaries intact, and routes candidates to the employer's public application page with non-personal referral parameters.

  • Role facts available from the payload: title, company, London location, and on-site workplace; employment type, seniority, category, subcategory, and salary are not stated.
  • Source freshness is based on the job record posted on 2026-05-30 and last checked on 2026-05-30.
  • Comparable classification is limited to the structured role data provided; salary context is only shown when present in the source payload.
  • JobGrid sends candidates to the original public application path rather than rewriting the employer application flow.

About Lawhive

Our mission is to make the law accessible to everyone.

The legal industry is built on technology and processes that haven’t been updated in hundreds of years - that's why we've reinvented the entire model from the ground up with our own bespoke AI operating system at the core.

Lawhive is a regulated law firm with an AI-native platform built to amplify expertise and revolutionise the way people practice law, leading to exceptional outcomes for clients and lawyers.

Lawhive Labs is how we bring this vision to life. It's our frontier lab that combines top engineering, design, AI and legal talent from around the world, joining forces to build the future of law.

We’re backed by top-tier investors, including Google Ventures, Balderton Capital and TQ Ventures, and in early 2026, we secured $60M Series B funding round to facilitate international expansion and to grow our team.

We’re headquartered in London and in 2025 successfully launched in the US…and we’re just getting started.

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.

Responsibilities

  • 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.

Requirements

  • 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.

UK Benefits:

💰 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 - MacBook/Windows

⛳️ Regular team building activities and socials!

Diversity at Lawhive

At Lawhive, we know that diversity of thought is critical to delivering outlier outcomes. As such, we’re always working hard to ensure we build a diverse, inclusive team, and as we scale, we’ll only ever increase the focus we apply to this.