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- Tasks: Develop and deploy AI-driven features for legal applications, ensuring reliability and scalability.
- Company: Join Lawhive, a pioneering platform making legal help accessible to everyone.
- Benefits: Enjoy meaningful equity, 33 days annual leave, and a vibrant startup culture.
- Why this job: Be part of a mission to democratise access to law with cutting-edge AI technology.
- Qualifications: Strong Python skills and experience with scalable backend systems required.
- Other info: Collaborate with top-tier investors and work in a dynamic, growth-focused environment.
The predicted salary is between 36000 - 60000 £ per year.
About Lawhive
We’re on a mission to make sure everyone has access to the law. Lawhive is an online platform for consumers and small businesses to get legal help for a fraction of the cost of a law firm. Our platform combines regulated human lawyers collaborating alongside the world’s first AI lawyer, specifically built for consumer legal work. Equal access to the law is one of the biggest and most pressing unsolved problems in society today. We’re passionate about leveling the playing field and believe access to the law should be a basic utility in society. Our AI lawyer Lawrence is built on top of our own fine-tuned LLM and recently passed the UK’s bar exam equivalent. We’re backed by some of the top US and UK VC funds including Google Ventures, Balderton Capital and TQ Ventures. We recently secured a $40M Series A funding round to facilitate international expansion and to grow our team, representing one of the five largest Series A rounds in Europe for 2024.
The Role
We’re looking for a Senior Applied AI Engineer to join our AI Engineering & Infrastructure team to bring our latest AI-driven features and services into production. Deploying them at scale, improving infrastructure, and ensuring robustness in production. You’ll work closely with AI researchers, software engineers, and product teams to bridge the gap between cutting-edge AI research and real-world applications.
Responsibilities
- Developing production-ready APIs and services that expose AI functionality to internal and external applications.
- Improving reliability & monitoring for AI-driven applications in production.
- Scaling AI systems to handle real-world legal use cases (e.g., legal document analysis, case predictions, automated legal advice).
- Collaborating with AI engineers to ensure smooth deployment of AI workflows and models into production.
- Working with event-driven architectures and async workflows to process large-scale AI workloads efficiently.
- Ensuring security & compliance in AI-driven legal services.
Requirements
- Strong Python experience in building scalable backend systems.
- Familiarity with API design & distributed systems architecture.
- Experience working with event-driven architectures (e.g. Kafka, Pub/Sub, AWS Step Functions, etc.).
- Experience working with cloud platforms (AWS, GCP etc).
- Understanding of best practices in observability, monitoring, and debugging.
Nice to Have
- LLM Observability & Evaluation – familiarity with tools such as Langfuse for monitoring model generations, managing prompts, and measuring quality in production.
- Comfortable optimising performance & scaling distributed AI workloads and ML Ops experience.
- Full-stack Typescript experience.
- Hands-on work with vector databases, hybrid retrieval methods, and evaluation of retrieval quality.
- Agentic & Orchestrated Systems – exposure to multi-step reasoning, agent frameworks, or orchestration tools (e.g. LangChain, AutoGen, Inngest, Temporal) where LLMs call tools, plan tasks, or coordinate workflows.
- Experience working in collaboration with researchers so that new models, pipelines, or research outputs can be integrated and evolved iteratively.
- Prior Experience in Legal Tech - understanding of the legal industry and experience working with legal technology solutions.
UK Benefits:
Meaningful early-stage equity at one of Europe’s fastest growing startups
✈️ 33 days’ annual leave (25 +
Senior Applied AI Engineer in London employer: Sequel
Contact Detail:
Sequel Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Applied AI Engineer in London
✨Tip Number 1
Network like a pro! Reach out to folks in the legal tech and AI space on LinkedIn or at industry events. We can’t stress enough how important it is to make connections that could lead to job opportunities.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to AI and legal tech. We love seeing real-world applications of your work, so make sure to highlight any relevant experience.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions and scenarios specific to AI engineering. We recommend practicing with friends or using mock interview platforms to get comfortable with the process.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re always on the lookout for passionate candidates who want to make a difference in the legal field.
We think you need these skills to ace Senior Applied AI Engineer in London
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Senior Applied AI Engineer role. Highlight your experience with Python, API design, and any relevant projects that showcase your skills in AI and legal tech.
Showcase Your Projects: Include specific examples of your work with scalable backend systems and event-driven architectures. We love seeing real-world applications of your skills, so don’t hold back on sharing your achievements!
Be Clear and Concise: When writing your application, keep it straightforward and to the point. Use clear language to explain your experience and how it relates to the responsibilities outlined in the job description.
Apply Through Our Website: We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for this exciting opportunity at Lawhive!
How to prepare for a job interview at Sequel
✨Know Your AI Stuff
Make sure you brush up on your knowledge of AI technologies, especially those relevant to legal applications. Be ready to discuss your experience with Python, API design, and event-driven architectures. Show them you can bridge the gap between cutting-edge research and practical applications.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled real-world challenges in AI systems. Whether it's scaling applications or improving reliability, have specific instances ready to share. This will demonstrate your ability to think critically and apply your skills effectively.
✨Understand the Legal Landscape
Since Lawhive is all about making legal help accessible, having a grasp of the legal tech space will set you apart. Familiarise yourself with common legal processes and how AI can enhance them. This knowledge will show your genuine interest in their mission.
✨Ask Insightful Questions
Prepare thoughtful questions that reflect your understanding of the role and the company’s goals. Inquire about their AI-driven features, the challenges they face in deployment, or how they measure success in their projects. This shows you're not just interested in the job, but also in contributing to their vision.