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For Companies At a Glance
- Tasks: Join us to develop AI solutions that transform the legal industry with speed and accuracy.
- Company: WilsonAI, a pioneering startup backed by top investors, is on a mission to revolutionise legal tech.
- Benefits: Competitive salary, hands-on experience, and the chance to shape the future of AI in law.
- Other info: Fast-paced environment with immense growth opportunities and the chance to work closely with our CTO.
- Why this job: Be part of a groundbreaking team and make a real impact in a $1 trillion industry.
- Qualifications: Strong computer science skills, machine learning experience, and a passion for problem-solving.
The predicted salary is between 60000 - 80000 £ per year.
WilsonAI is building Cursor for lawyers - helping them review, negotiate, and manage contracts with unprecedented speed and accuracy. We’re backed by Nomad Ventures and Autopilot, and raised a $1.7M pre-seed round at the end of 2024. Since then, we’ve stabilised our product with early customers, beaten competitors in head-to-head pilots with teams of hundreds and $100Ms in revenue, and scaled via founder-led sales to multi–six-figure revenues - 50X growth since the start of the year. We’ve been featured in The Lawyer, Artificial Lawyer, and more. We’re at the very beginning of the opportunity to transform the $1 trillion legal industry with AI, and we’re building an elite team to do it.
The Role
We’re looking for an exceptionally driven and smart Applied AI Engineer. You’ll work very closely with our CTO, across both customer-facing roles as well as deep technical buildouts. You will work very hard, get your hands dirty, and own tasks end-to-end with limited direction. In return, you’ll gain rare exposure to what it takes to scale an AI startup at the ground level, and see what it takes to win. This role will be demanding.
What We’re Looking For
- Strong computer science fundamentals, exceptional clarity of thought, and sharpness in problem solving.
- Evidence of personal agency in driving toward net optimal outcomes.
- Strong machine learning priors, ideally with experience training ML models for production use-cases.
- Ability to hold large, complex systems in working memory and reason clearly about mechanics and failure-modes.
- Attention to detail.
- Gritty, fast learner, self-directed, and eager to progress much faster than peers.
- Comfortable working hard, owning tasks end-to-end, and taking on non-glamorous work.
- Ex-founders and startup-oriented engineers are welcome.
Are you ready? We are at the cusp of a technological revolution in the legal industry. We are optimising for speed, and seeking those fast enough to come with us. This is your opportunity to be at the center of a technological revolution in the legal industry. If you're ready to challenge yourself, grow exponentially, and make a lasting impact, we want to hear from you.
Applied AI Engineer in London employer: ClarenAI
Contact Detail:
ClarenAI Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Applied AI Engineer in London
✨Tip Number 1
Network like a pro! Reach out to people in the legal tech space, especially those who are already working at WilsonAI or similar companies. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Show off your skills! If you've got a portfolio of projects or contributions to open-source AI tools, make sure to highlight them. We love seeing real-world applications of your work, so don’t hold back!
✨Tip Number 3
Prepare for the interview by diving deep into WilsonAI's product. Understand how Cursor works and think about how your skills can enhance it. We want to see your passion and how you can contribute to our mission.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows us you're genuinely interested in being part of our journey to revolutionise the legal industry with AI.
We think you need these skills to ace Applied AI Engineer in London
Some tips for your application 🫡
Show Your Passion: When writing your application, let your enthusiasm for AI and the legal industry shine through. We want to see that you’re not just looking for a job, but that you’re genuinely excited about transforming the legal landscape with us.
Tailor Your CV: Make sure your CV highlights relevant experience and skills that align with the role of an Applied AI Engineer. We love seeing how your background fits into our mission, so don’t hold back on showcasing your machine learning projects!
Be Clear and Concise: In your written application, clarity is key. We appreciate straightforward communication, so avoid jargon and get straight to the point. Show us your problem-solving skills right from the start!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity to join our team at WilsonAI.
How to prepare for a job interview at ClarenAI
✨Know Your AI Stuff
Brush up on your machine learning fundamentals and be ready to discuss your experience with training ML models. Be prepared to explain complex concepts in a clear way, as this role demands exceptional clarity of thought.
✨Show Your Grit
This position is all about hard work and ownership. Be ready to share examples of how you've taken initiative in past projects, especially in challenging situations. Highlight your ability to learn quickly and tackle non-glamorous tasks with enthusiasm.
✨Understand the Legal Landscape
Since WilsonAI is transforming the legal industry, it’s crucial to have a basic understanding of how AI can impact legal processes. Familiarise yourself with current trends in legal tech and be ready to discuss how you see AI shaping the future of law.
✨Prepare for Problem-Solving Questions
Expect to face technical challenges during the interview. Practice solving problems on the spot and think aloud as you work through them. This will showcase your problem-solving skills and your ability to hold complex systems in mind.