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Senior AI Research Engineer

Lawhive

London

On-site

USD 50,000 - 120,000

Full time

4 days ago
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Job summary

A leading legal tech platform is seeking a Senior AI Research Engineer to help democratize access to the law through innovative AI solutions. This role focuses on developing cutting-edge AI products and enhancing legal workflows, offering a unique opportunity to bridge research with real-world applications in a rapidly growing company backed by significant venture capital.

Benefits

34 Holidays (25 days annual leave + your birthday off + bank holidays)
Equity (Share Options)
Pension
Regular team building activities, socials, and annual retreat
20% off legal fees through Lawhive

Qualifications

  • Strong background in AI research, applied machine learning, and NLP.
  • Experience with LLM model adaptation and optimization.
  • Ability to translate academic AI research into practical applications.

Responsibilities

  • Conduct applied research on LLM-based reasoning and document automation.
  • Develop prototypes and experimental models for AI-driven legal solutions.
  • Collaborate with engineers to transition experimental models into production.

Skills

AI research
Applied machine learning
NLP
LLM model adaptation
Python
Self-supervised learning

Education

MSc or PhD in AI, ML, Computer Science, or a related field

Tools

FastAPI

Job description

Join to apply for the Senior AI Research Engineer role at Lawhive

6 days ago Be among the first 25 applicants

Join to apply for the Senior AI Research Engineer role at Lawhive

We’re on a mission to make sure everyone has access to the law.

Backed by top VC funds and a recent $40M Series A—one of Europe's five largest Series A raises of 2024—Lawhive is poised for rapid growth and expansion into the US market.

As a pioneering legal tech platform, we're seeking a Senior Research Engineer to join our mission of democratising access to the law. This role offers the opportunity to work on cutting-edge AI products, build best-in-class user experiences, and help solve one of society's most pressing problems.

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 developing 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.

Benefits

️ 34 Holidays (25 days annual leave + your birthday off + bank hols in England)

Equity (Share Options)

Pension

️ Regular team building activities, socials, and annual retreat!

20% off legal fees through Lawhive

Seniority level
  • Seniority level
    Mid-Senior level
Employment type
  • Employment type
    Full-time
Job function
  • Job function
    Engineering and Information Technology
  • Industries
    Law Practice

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